{"text_format":"1","workbook":"xlsx","n_sheets":8,"sheets":["Cover Page","Value type","Health values","Environmental values","Social values","CPI adjustment","Notes","Version record"],"not_rendered":{"charts":0,"images":3,"macros":1,"external_links":0,"defined_names":8,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900"}

{"sheet":"Cover Page","index":0,"n_rows":54,"n_cols":2,"rows_kept":54,"cut":false,"hidden":false,"merged":[]}
[]
[]
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[null,"Value Tool for Natural Hazards: Database"]
[null,"Version 3.0, May 2021."]
[null,"Fiona L. Gibson, Abbie A. Rogers, Jacob I. Hawkins, David J. Pannell"]
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[]
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[null,"Citation: Value Tool for Natural Hazards (2021), Version 3.0, Bushfire and Natural Hazards CRC website, available from https://tools.bnhcrc.com.au/wtp/home"]
[]
[]
[null,"All material in this document, except as identified below, is licensed under the Creative Commons Attribution-Non-Commercial 4.0 International Licence."]
[null,"Material not licensed under the Creative Commons licence: "]
[null,"·          Department of Industry, Innovation and Science logo"]
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[null,"·          All photographs, graphics and figures"]
[null,"All content not licenced under the Creative Commons licence is all rights reserved. Permission must be sought from the copyright owner to use this material."]
[]
[null,"Terms and conditions:"]
[]
[null,"The Bushfire and Natural Hazards CRC and the University of Western Australia advises that the information contained in this spreadsheet contains material gathered from various sources, most of which are accessible to the public. "]
[null,"The Bushfire and Natural Hazards CRC and the University of Western Australia are neither the creators nor the owners of any of this content and all users are advised to note the copyright and terms of use stated in the original sources, "]
[null,"and review the Guidelines: Value Tool for Natural Hazards, before using the information."]
[]
[null,"The Bushfire and Natural Hazards CRC and the University of Western Australia advise that such information may be incomplete and may not be usable in any specific situation. No reliance or actions should be made on the information "]
[null,"without seeking prior expert professional advice. The Bushfire and Natural Hazards CRC and the University of Western Australia do not warrant that the spreadsheet is accurate nor complete or is fit for any purpose. To the extent "]
[null,"permitted by law, the Bushfire and Natural Hazards CRC and the University of Western Australia excludes all liability for any consequences, including but not limited to all losses, damages, costs and expenses, arising directly or indirectly "]
[null,"from the use of this spreadsheet and any information or material contained in it."]
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[null,"Natural Hazards website before accessing the resource. Occasionally the Bushfire and Natural Hazards CRC may contact you to find out how you use the Value Tool for Natural Hazards. This is part of how the Bushfire and Natural Hazards "]
[null,"CRC tracks use of its research and outputs. You can access the website at: "]
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[null,"1. to acknowledge that the use of any information obtained from this spreadsheet is consistent with the use allowed by a Creative Commons CC BY-NC 4.0 licence, that is, you may remix, adapt and build upon this work non-commercially "]
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[null,"3. to not use the information for any commercial purposes, without the express written permission of the Bushfire and Natural Hazards CRC"]
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[null,"This report was commissioned by the Bushfire and Natural Hazards CRC."]

{"sheet":"Value type","index":1,"n_rows":46,"n_cols":2,"rows_kept":46,"cut":false,"hidden":false,"merged":[]}
["Value type","Final outcomes"]
["Health values"]
["Physical health","Change in the number of fatalities"]
[null,"Change in the number of serious injury, hospitalised injury and minor injury"]
[null,"Change in the number of illnesses or diseases"]
[null,"Change in pain to an individual"]
[]
["Mental health","Change in reported cases of grief, stress and anxiety*"]
[null,"Change in the number of fatalities (due to self-harm)"]
[]
["Environment values"]
["Ecosystems","Change in the number of flora and fauna species"]
[null,"Change in the number of identified endangered species."]
[null,"Change in the status of identified endangered species."]
[null,"Change in native vegetation coverage"]
[null,"Change in status of ecosystem function"]
[null,"Change in status of identified threatened ecosystems"]
[null,"Change in carbon storage in vegetation and soils"]
[]
["Water quality","Change in riparian vegetation coverage"]
[null,"Change in condition of waterways "]
[]
["Social"]
["Recreation","Change in recreation activity within the area"]
[]
["Amenity","Change in scenic amenity of the area "]
[]
["Safety","Change in the perceived safety of a dwelling's location or construction"]
[]
["Cultural heritage","Change in Indigenous heritage significance"]
[null,"Change in European heritage significance*"]
[null,"Change in natural heritage significance*"]
[null,"Impact to sense of place*"]
[null,"Change in heritage related recreation"]
[]
["Social disruption","Breakdown of existing family and support networks, such as social networks*"]
[null,"Change in moveability, such as traffic and public transport"]
[null,"Change in availability of basic services, such as electricity outage"]
[null,"Number of displaced people away from people's homes and work places"]
[null,"Change in day to day functionality of community facilities*"]
[]
["Memorabilia","Impact to memorabilia in residential dwellings and contents*"]
[]
["Animal welfare","Displacement, death or injury to animals"]
[]
["*NOTE: outcomes in grey text are not currently represented in the database due to lack of suitable studies"]

{"sheet":"Health values","index":2,"n_rows":19,"n_cols":43,"rows_kept":19,"cut":false,"hidden":false,"merged":[]}
["STUDY IDENTIFICATION AND RELEVANCE",null,null,null,null,null,null,null,null,"WILLINGNESS TO PAY",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"SAMPLE CHARACTERISTICS",null,null,null,null,null,null,null,"METHODS",null,null,null,"PUBLICATION CHARACTERISTICS"]
[]
["Observation ID\n(Identification number for every unique WTP observation)","Citation","Hazard types applicable","Value type applicable","Brief summary of study objective(s)","Study conducted in the context of a natural hazard?\n(Yes or No)","Study quality\n(1=high, 2=average, 3=poor)","Benefits transfer applicability\n(1=highly, 2=moderately, 3=rarely)","Recommendations \n(Applicability for benefit transfer in natural hazard context)","Definition of physical or marginal change\n(This is what is being measured, the value of the change in the outcome)","Hazard types identified","Specific value type measured","WTP estimate - original study value","WTP estimate - present value\n(2019 $AU)","Currency year - original study ","Currency - original study","WTP converted to $AU in original year from the study (used for calculating present value)","CPI ratio (used for calculating present value)","Other variables that significantly explain WTP (e.g. sample characteristics and survey attributes)","WTP measure","95% confidence interval: lower \n(If available; original study)","95% confidence interval: upper \n(If available; orginal study)","Standard Error\n(If available)","Standard deviation\n(If available)","p-values\n(If available)","Country/region studied","Country of source studies","Sampled population\n(The target population - e.g. this might be the whole population of the region, or it might be a specific subset of the whole population)","Range in years of data","Mean sample age\n(Measured in years)","% Male","Mean sample income","Income units\n(Units of measurement)","Data collection method used","Analysis model","Modelled number of individuals\n(Number of individuals reported for the regression)","Modelled number of observations\n(Number of observations reported for the regression)","Authors","Year published","Peer reviewed?\n(Yes or No)","Journal name","Additional notes","Full reference"]
[1,"Richardson, et al. 2013","Fire","Physical health","WTP for reduction in the number of illness symptom days due to bushfire smoke, California (contingent valuation approach)","Yes",1,2,"Useful for NH BT, especially fire context; be aware of/adjust for population differences","WTP for a reduction in an illness symptom day caused by wildfire smoke","Fire","Illness or disease","$95.03 per person per sympton day",{"$f":"Q4*R4","v":147.01648192771083},2009,"USD",118.24,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O4,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Education, pre-exisiting health condition, health insurance, location","Mean","22.78 [90 % confidence interval]","610.42 [90 % confidence interval]","n/a","n/a","n/a","Los Angeles County, California","USA","Duarte, Monrovia, Sierra Madre, Burbank, Glendora",2009,59.11,60,83520,"USD/year","Contingent valuation","Probit regression model",157,157,"Richardson, L., Loomis, J.B., Champ, P.A.",2013,"Yes","Land Economics","Paper compares traditional cost of illness valuation methods with defensive behavior and CVM WTPs. ","Richardson, L., Loomis, J.B., and P.A. Champ. 2013. Valuing Morbidity from Wildfire Smoke Exposure: A Comparison of Revealed and Stated Preference Techniques. Land Economics. 89 (1): 76-100"]
[2,"Richardson, et al. 2013","Fire","Physical health","WTP for reduction in the number of illness symptom days due to bushfire smoke, California (defensive behaviour approach)","Yes",1,2,"Useful for NH BT, especially fire context; be aware of/adjust for population differences","WTP for a reduction in an illness symptom day caused by wildfire smoke","Fire","Illness or disease","$86.87 per person per sympton day",{"$f":"Q5*R5","v":134.38380722891566},2009,"USD",108.08,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O5,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Smelled smoke, symptoms, gender, married, age, education, employment, location","Mean","76.56 [90 % confidence interval]","443.26 [90 % confidence interval]","n/a","n/a","n/a","Los Angeles County, California","USA","Duarte, Monrovia, Sierra Madre, Burbank, Glendora",2009,59.11,60,83520,"USD/year","Defensive behaviour model","Probit regression model",377,377,"Richardson, L., Loomis, J.B., Champ, P.A.",2013,"Yes","Land Economics","Paper compares traditional cost of illness valuation methods with defensive behavior and CVM WTPs. Paper utilizes a form of revealed preference method referred to as the 'defensive behaviour method' ","Richardson, L., Loomis, J.B., and P.A. Champ. 2013. Valuing Morbidity from Wildfire Smoke Exposure: A Comparison of Revealed and Stated Preference Techniques. Land Economics. 89 (1): 76-100"]
[3,"Access Economics 2008","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","Meta-analysis of Value of Statistical Life studies from various countries","No",2,2,"Useful for BT with data drawn from a wide variety of locations, including Australia; be aware of generalised context - not NH specific","Aggregate WTP to avoid a life lost per event","Not specific to a natural hazard","Fatality","$6,036,000 per life",{"$f":"Q6*R6","v":7637924.795640327},2008,"AUD",6036000,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O6,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2653950953678474},"n/a","Mean",5361400,6710500,"n/a","n/a","<0.0001","n/a","n/a","n/a",">1980","n/a","n/a","n/a","n/a","Stated preference; Revealed preference","Meta-analysis random effects model","n/a",99,"Access Economics",2008,"No","n/a","The source studies and countries from the modelled studies were not specified in the report, however the full list of studies canvassed includes Australia, Austria, Canada, Denmark, Europe, France, Hong Kong, Japan, New Zealand, South Korea, Sweden, Switzerland, Taiwan, UK, US and other.","Access Economics, 2008. The health of nations: the value of a statistical life. Report prepared for the office of the Australian Safety and Compensation\nCouncil, Canberra."]
[4,"Hensher et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","Quantify the aggregated WTP (Value Risk Reduction) to avoid serious injury by road traffic accident in an urban area in NSW","No",1,2,"Useful for BT in urban Australian cities; be aware of generalised context - not NH specific","Aggregate WTP to avoid one serious injury per event","Not specific to a natural hazard","Serious injury","$310,292 per serious injury",{"$f":"Q7*R7","v":409723.07307364221},2007,"AUD",310292,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O7,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean","n/a","n/a","n/a","n/a","n/a","NSW","Australia","NSW",2007,44.2,50,38400,"AUD/year","Choice modeling; annual vehicle kilometres; annual number of fatality and injury","mixed logit model",210,1420,"Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. ",2009,"Yes"," Transportation Research Part A","Serious injury: defined as an injury that requires hospitalisation for a long period and results in some permanent disability. An aggregated Value of Risk Reduction is obtained by converting the WTP per person per trip to a WTP per person per kilometre, and then multiply by the inverse of the chance of death or injury class. Hence, WTP per person per trip estimates are available in the paper.","Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. 2009. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment. Transportation Research Part A. 43: 692–707."]
[5,"Hensher et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","Quantify the aggregated WTP (Value Risk Reduction) to avoid hospitalised injury by road traffic accident in an urban area in NSW","No",1,2,"Useful for BT in urban Australian cities; be aware of generalised context - not NH specific","Aggregate WTP to avoid one hospitalised injury per event","Not specific to a natural hazard","Hospitalised injury","$75,476 per hospitalised injury",{"$f":"Q8*R8","v":99661.7981234006},2007,"AUD",75476,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O8,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean","n/a","n/a","n/a","n/a","n/a","NSW","Australia","NSW",2007,44.2,50,38400,"AUD/year","Choice modeling; annual vehicle kilometres; annual number of fatality and injury","mixed logit model",210,1420,"Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. ",2009,"Yes"," Transportation Research Part A","Hospitalised injury: defined as an injury that requires hospitalisation but there is a full recovery. An aggregated Value of Risk Reduction is obtained by converting the WTP per person per trip to a WTP per person per kilometre, and then multiply by the inverse of the chance of death or injury class. Hence, WTP per person per trip estimates are available in the paper.","Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. 2009. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment. Transportation Research Part A. 43: 692–707."]
[6,"Hensher et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","Quantify the aggregated WTP (Value Risk Reduction) to avoid minor injury by road traffic accident in an urban area in NSW","No",1,2,"Useful for BT in urban Australian cities; be aware of generalised context - not NH specific","Aggregate WTP to avoid one minor injury per event","Not specific to a natural hazard","Minor injury","$16,552 per minor injury",21855.98180267273,2007,"AUD",16552,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O9,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean","n/a","n/a","n/a","n/a","n/a","NSW","Australia","NSW",2007,44.2,50,38400,"AUD/year","Choice modeling; annual vehicle kilometres; annual number of fatality and injury","mixed logit model",210,1420,"Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. ",2009,"Yes"," Transportation Research Part A","Minor injury: defined as an injury that requires some medical treatment but no hospitalisation. An aggregated Value of Risk Reduction is obtained by converting the WTP per person per trip to a WTP per person per kilometre, and then multiply by the inverse of the chance of death or injury class. Hence, WTP per person per trip estimates are available in the paper.","Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. 2009. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment. Transportation Research Part A. 43: 692–707."]
[7,"Hensher et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","Quantify the aggregated WTP (Value Risk Reduction) to avoid minor injury by road traffic accident in a non urban area in NSW","No",1,2,"Useful for BT in non-urban Australian areas; be aware of generalised context - not NH specific","Aggregate WTP to avoid one minor injury per event","Not specific to a natural hazard","Minor injury","$20,312 per minor injury",26820.849587716799,2007,"AUD",20312,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O10,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean","n/a","n/a","n/a","n/a","n/a","NSW","Australia","NSW",2007,44.2,50,38400,"AUD/year","Choice modeling; annual vehicle kilometres; annual number of fatality and injury","mixed logit model",210,710,"Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. ",2009,"Yes"," Transportation Research Part A","Minor injury: defined as an injury that requires some medical treatment but no hospitalisation. An aggregated Value of Risk Reduction is obtained by converting the WTP per person per trip to a WTP per person per kilometre, and then multiply by the inverse of the chance of death or injury class. Hence, WTP per person per trip estimates are available in the paper.","Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. 2009. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment. Transportation Research Part A. 43: 692–707."]
[8,"Hensher et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","Quantify the aggregated WTP (Value Risk Reduction) to avoid serious injury by road traffic accident in a non urban area in NSW","No",1,2,"Useful for BT in non-urban Australian areas; be aware of generalised context - not NH specific","Aggregate WTP to avoid one serious injury per event","Not specific to a natural hazard","Serious injury","$193,883 per serious injury",256011.5587148137,2007,"AUD",193883,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O11,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean","n/a","n/a","n/a","n/a","n/a","NSW","Australia","NSW",2007,44.2,50,38400,"AUD/year","Choice modeling; annual vehicle kilometres; annual number of fatality and injury","mixed logit model",210,710,"Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. ",2009,"Yes"," Transportation Research Part A","Serious injury: defined as an injury that requires hospitalisation for a long period and results in some permanent disability.An aggregated Value of Risk Reduction is obtained by converting the WTP per person per trip to a WTP per person per kilometre, and then multiply by the inverse of the chance of death or injury class. Hence, WTP per person per trip estimates are available in the paper.","Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. 2009. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment. Transportation Research Part A. 43: 692–707."]
[9,"Hensher et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","Quantify the aggregated WTP (Value Risk Reduction) to avoid hospitalised injury by road traffic accident in a non urban area in NSW","No",1,2,"Useful for BT in non-urban Australian areas; be aware of generalised context - not NH specific","Aggregate WTP to avoid one hospitalised injury per event","Not specific to a natural hazard","Hospitalised injury","$56,937 per hospitalised injury",75182.094967301658,2007,"AUD",56937,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O12,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean","n/a","n/a","n/a","n/a","n/a","NSW","Australia","NSW",2007,44.2,50,38400,"AUD/year","Choice modeling; annual vehicle kilometres; annual number of fatality and injury","mixed logit model",210,710,"Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. ",2009,"Yes"," Transportation Research Part A","Hospitalised injury:  defined as an injury that requires hospitalisation but there is a full recovery. An aggregated Value of Risk Reduction is obtained by converting the WTP per person per trip to a WTP per person per kilometre, and then multiply by the inverse of the chance of death or injury class. Hence, WTP per person per trip estimates are available in the paper.","Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. 2009. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment. Transportation Research Part A. 43: 692–707."]
[10,"Hensher et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","Quantify the aggregated WTP (Value Risk Reduction) to avoid fatality by road traffic accident in a non urban area in NSW","No",1,2,"Useful for BT in non-urban Australian areas; be aware of generalised context - not NH specific","Aggregate WTP to avoid a life lost per event","Not specific to a natural hazard","Fatality","$6,298,062 per life",8316235.4074495295,2007,"AUD",6298062,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O13,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean","n/a","n/a","n/a","n/a","n/a","NSW","Australia","NSW",2007,44.2,50,38400,"AUD/year","Choice modeling; annual vehicle kilometres; annual number of fatality and injury","mixed logit model",210,710,"Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. ",2009,"Yes"," Transportation Research Part A","An aggregated Value of Risk Reduction is obtained by converting the WTP per person per trip to a WTP per person per kilometre, and then multiply by the inverse of the chance of death or injury class. Hence, WTP per person per trip estimates are available in the paper.","Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. 2009. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment. Transportation Research Part A. 43: 692–707."]
[11,"Hensher et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","Quantify the aggregated WTP (Value Risk Reduction) to avoid fatality by road traffic accident in an urban area in NSW","No",1,2,"Useful for BT in urban Australian cities; be aware of generalised context - not NH specific","Aggregate WTP to avoid a life lost per event","Not specific to a natural hazard","Fatality","$6,369,655 per life",8410769.9232300241,2007,"AUD",6369655,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O14,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean","n/a","n/a","n/a","n/a","n/a","NSW","Australia","NSW",2007,44.2,50,38400,"AUD/year","Choice modeling; annual vehicle kilometres; annual number of fatality and injury","mixed logit model",210,1420,"Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. ",2009,"Yes"," Transportation Research Part A","An aggregated Value of Risk Reduction is obtained by converting the WTP per person per trip to a WTP per person per kilometre, and then multiply by the inverse of the chance of death or injury class. Hence, WTP per person per trip estimates are available in the paper.","Hensher, D.A., Rose, J.M., de Dios Ortúzar, J., Rizzi, L.I. 2009. Estimating the willingness to pay and value of risk reduction for car occupants in the road environment. Transportation Research Part A. 43: 692–707."]
[12,"Shiroiwa et al. 2010","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health, mental health ","Quantify the WTP of a quality-adjusted-life-year for Australians. ","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for one additional quality-adjusted life-year (*see additional notes column for more information)","Not specific to a natural hazard","Fatality","$64,000 per quality-adjusted-life-year",84508.38783053738,2007,"AUD",64000,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O15,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","n/a",60000,68000,"n/a","n/a","n/a","Australia","Australia","Australia",2007,"n/a",50,"n/a","n/a","Bidding game","Turnbell method",1000,1000,"Shiroiwa, T., Sung, Y.K., Fukuda, T., Lang, H.C., Bae, S.C., Tsutani, K.",2010,null,"Health Economics","This study assesses WTP for a Quality Adjusted Life Year (QALY) in the context of a serious illness that threatens ones life, specifically as a life limiting illness rather than chronic disease. This context could be applicable to physical illnesses that are life limiting, but also extreme cases of mental illness where life is threatened (e.g. risk of suicide). To apply the estimate, one needs to be able to estimate what impact the hazard event has on a QALY (i.e. how quality of life changes as a result of the event, where QALY is measured on a scale of 0=death to 1=full health). There are studies available that can provide estimates of how QALYs are affected by hazard events, e.g. Queensland Government. 2011. Self-reported Health Status 2011: Natural disasters and health. Queensland Health.","Shiroiwa, T., Sung, Y.K., Fukuda, T., Lang, H.C., Bae, S.C., Tsutani, K. 2010. International survey on willingness-to-pay (WTP) for one additional QALY gained: what is the threshold of cost effectiveness? Health Economics. 19: 422-437."]
[13,"Chuck et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","WTP of persons with current chronic pain to improve pain-related disability to mild","No",1,3,"Limited application; not NH specific, and be aware of/adjust for population differences","WTP per person per month for mild pain-related disbility","Not specific to a natural hazard","Pain","$361 per person per month for mild pain-related disability",526.06471424509516,2007,"CAD",398.4,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O16,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean",200,523,"n/a","n/a","<0.01","Alberta","Canada","Individuals with chronic pain",2006,47.5,46.2,"n/a","n/a","Choice modeling","Logistic regression model",78,78,"Chuck, A., Adamowicz, W., Jacobs, P,. Ohinmaa, A., Dick, B., Rashiq, S.",2009,"Yes","Value in Health","Instruments used for assessing pain intensity and pain-related disability. Instruments were adapted from the Facial Pain Scale [5] and the Pain Disability Index [6–8] based on information generated from pilot testing.","Chuck, A., Adamowicz, W., Jacobs, P,. Ohinmaa, A., Dick, B., Rashiq, S. 2009. The Willingness to Pay for Reducing Pain and\nPain-Related Disability. Value in Health. 12:4 498-506."]
[14,"Chuck et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","WTP of persons with current chronic pain to reduce pain intensity to mild","No",1,3,"Limited application; not NH specific, and be aware of/adjust for population differences","WTP per person per month for mild pain intensity","Not specific to a natural hazard","Pain","$1067 per person per month for mild pain intensity",1554.8751094682964,2007,"CAD",1177.54,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O17,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean",836,1298,"n/a","n/a","<0.01","Alberta","Canada","Individuals with chronic pain",2006,47.5,46.2,"n/a","n/a","Choice modeling","Logistic regression model",78,78,"Chuck, A., Adamowicz, W., Jacobs, P,. Ohinmaa, A., Dick, B., Rashiq, S.",2009,"Yes","Value in Health","Instruments used for assessing pain intensity and pain-related disability. Instruments were adapted from the Facial Pain Scale [5] and the Pain Disability Index [6–8] based on information generated from pilot testing.","Chuck, A., Adamowicz, W., Jacobs, P,. Ohinmaa, A., Dick, B., Rashiq, S. 2009. The Willingness to Pay for Reducing Pain and\nPain-Related Disability. Value in Health. 12:4 498-506."]
[15,"Chuck et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Physical health","WTP of persons with current chronic pain to improve pain-related disability and reduce pain intensity","No",1,3,"Limited application; not NH specific, and be aware of/adjust for population differences","WTP per person per month for mild pain-related disbility","Not specific to a natural hazard","Pain","$1428 per person per month for mild pain-related disability and pain intensity",2080.9398237133919,2007,"CAD",1575.94,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O18,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3204435598521465},"n/a","Mean","n/a","n/a","n/a","n/a","n/a","Alberta","Canada","Individuals with chronic pain",2006,47.5,46.2,"n/a","n/a","Choice modeling","Logistic regression model",78,78,"Chuck, A., Adamowicz, W., Jacobs, P,. Ohinmaa, A., Dick, B., Rashiq, S.",2009,"Yes","Value in Health","Instruments used for assessing pain intensity and pain-related disability. Instruments were adapted from the Facial Pain Scale [5] and the Pain Disability Index [6–8] based on information generated from pilot testing.","Chuck, A., Adamowicz, W., Jacobs, P,. Ohinmaa, A., Dick, B., Rashiq, S. 2009. The Willingness to Pay for Reducing Pain and\nPain-Related Disability. Value in Health. 12:4 498-506."]
[16,"Rogers et al. 2021","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Mental health","WTP of Perth households to avoid a serious 'mental health challenge' experienced by people living in York, Western Australia, as a result of an earthquake. A 'mental health challenge' is defined as an individual experiencing a case of depression, anxiety, post-traumatic stress disorder, or similar. ","Yes",1,1,"Useful for NH BT; especially earthquakes in Australian context. Peer review not yet completed, but study reports key information for BT. ","WTP per household for every serious mental health case avoided ","Earthquake","Grief, stress, anxiety","$2.37 per household per mental health challenge avoided",2.37,2020,"AUD",2.37,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O19,'CPI adjustment'!$AF$18:$AF$41,0))","v":1},"n/a","Mean","n/a","n/a",0.31,"n/a","n/a","York, Western Australia","Australia","Perth Metropolitan Region",2020,"47 (median age)",49,"$1200-$1700 per week (median income)","AUD ","Choice modeling","mixed logit model",854,4270,"Rogers, A.A., Rollins, C., Florec, V.",2021,"No","n/a","Respondents were informed that there is a 1 in 50 chance of a large earthquake in York in the next 50 years, and a 1 in 10 chance of a moderate earthquake in the next 50 years. Attribute level range as follows. Status quo in the event of an earthquake: 1200 people (close to half of York's 2500 population) experience a mental health challenge (large earthquake); 250 people (1/10 of the population) experience a mental health challenge (moderate earthquake). Maximum improvement considered from implementing adequate support systems and emergency response plans: 300 people experience mental health challenges (large earthquake); 60 people experience challenges (moderate earthquake). Expected value of the attribute calculated as: p(moderate earthquake) x moderate damage  +  p(large earthquake) x large damage","Rogers, A.A., Rollins, C., Florec, V. 2021. Willingness to pay to avoid the non-market impacts of earthquakes in York, Western Australia. Bushfire and Natural Hazards CRC Report 667, The University of Western Australia, Crawley. "]

{"sheet":"Environmental values","index":3,"n_rows":33,"n_cols":43,"rows_kept":33,"cut":false,"hidden":false,"merged":[]}
["STUDY IDENTIFICATION AND RELEVANCE",null,null,null,null,null,null,null,null,"WILLINGNESS TO PAY",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"SAMPLE CHARACTERISTICS",null,null,null,null,null,null,null,"METHODS",null,null,null,"PUBLICATION CHARACTERISTICS"]
[]
["Observation ID\n(Identification number for every unique WTP observation)","Citation","Hazard types applicable ","Value type applicable","Brief summary of study objective(s)","Study conducted in the context of a natural hazard?\n(Yes or No)","Study quality\n(1=high, 2=average, 3=poor)","Benefits transfer applicability\n(1=highly, 2=moderately, 3=rarely)","Recommendations  \n(Applicability for benefit transfer in natural hazard context)","Definition of physical or marginal change\n(This is what is being measured, the value of the change in the outcome)","Hazard types identified","Specific value type measured","WTP estimate - original study value","WTP estimate - present value\n(2019 $AU)","Currency year - original study ","Currency - original study","WTP converted to $AU in original year from the study (used for calculating present value)","CPI ratio (used for calculating present value)","Other variables that significantly explain WTP (e.g. sample characteristics and survey attributes)","WTP measure","95% confidence interval: lower \n(If available; original study)","95% confidence interval: upper \n(If available; orginal study)","Standard Error\n(If available)","Standard deviation\n(If available)","p-values\n(If available)","Country/region studied","Country of source studies","Sampled population\n(The target population - e.g. this might be the whole population of the region, or it might be a specific subset of the whole population)","Range in years of data","Mean sample age\n(Measured in years)","% Male","Mean sample income","Income units\n(Units of measurement)","Data collection method used","Analysis model","Modelled number of individuals\n(Number of individuals reported for the regression)","Modelled number of observations\n(Number of observations reported for the regression)","Authors","Year published","Peer reviewed?\n(Yes or No)","Journal name","Additional notes","Full reference"]
[1,"Akter, et al. 2015","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to protect endangered species from invasive species (feral animals, insects and weeds).","No",1,2,"Useful for BT where NH leads to increased impact from invasive species","WTP per endangered species protected per household per year","Invasive species","Endangered species","$47.00 per species per household per year",{"$f":"Q4*R4","v":50.677501741351278},2015,"AUD",47,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O4,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.078244717901091},"Education, income, age, prior experience and attitude with biosecurity, invasive weeds, invasive insects, cost","Mean",26,68,"n/a","n/a","n/a","Queensland; New South Wales; Victoria","Australia","Queensland; New South Wales; Victoria","2010-2011","49 (NSW), 48 (QLD), 44 (VIC)","62% (NSW), 56% (QLD), 44% (VIC)","$1,153 (NSW), $1,250 (QLD), $1,250 (VIC)","AUD","Choice modeling","Latent class logit model","n/a",2402,"Akter, S., Kompas, T., Ward, M.B.",2015,"Yes","Ecological Ecconomics","Paper includes mean implicit values for species (but do not specify what species).","Akter, S., Kompas, T., and M.B. Ward. 2015. Application of portfolio theory to asset-based biosecurity decision analysis. Ecological Economics. 117 (2015):73-85."]
[2,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for an increase in the frequency of waterbird breeding events ","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1 year increase to the frequency of waterbird breeding events per household per year (max. 10 years)","Drought, climate change","Species","$13.64 per 1 year increase in breeding frequency per household per year",{"$f":"Q5*R5","v":16.959614457831325},2009,"AUD",13.64,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O5,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Water bird breeding, cost, healthy vegetation, native fish, age, gender, environmental attitudes","Mean",10.95,16.47,null,null,null,"Murray River, Australia","Australia","New South Wales","2008-2009",47.6,0.44699999999999995,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","Colonial waterbird breeding now occurs in some wetlands along the Murray one in every 10 years. The levels presented to survey respondents are improvement to the 1 in 10 frequency. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[3,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from ACT","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1 year increase to the frequency of waterbird breeding events per household per year (max. 10 years)","Drought, climate change","Species","$15.99 per 1 year increase in breeding frequency per household per year",{"$f":"Q6*R6","v":19.881542168674699},2009,"AUD",15.99,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O6,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, waterbird habitat, native fish","Mean",10.49,21.89,null,null,null,"Murray River, Australia","Australia","Australian Capital Territory","2008-2009",47.9,0.48099999999999998,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","Colonial waterbird breeding now occurs in some wetlands along the Murray one in every 10 years. The levels presented to survey respondents are improvement to the 1 in 10 frequency. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[4,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from VIC","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1 year increase to the frequency of waterbird breeding events per household per year (max. 10 years)","Drought, climate change","Species","$12 per 1 year increase in breeding frequency per household per year",{"$f":"Q7*R7","v":14.920481927710842},2009,"AUD",12,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O7,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, native fish, waterbird habitat, health vegetation, waterbird habitat, income, age, environmental attitudes, ","Mean",7.52,16.43,null,null,null,"Murray River, Australia","Australia","Victoria","2008-2009",44.7,0.43500000000000005,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","Colonial waterbird breeding now occurs in some wetlands along the Murray one in every 10 years. The levels presented to survey respondents are improvement to the 1 in 10 frequency. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[5,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from SA","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1 year increase to the frequency of waterbird breeding events per household per year (max. 10 years)","Drought, climate change","Species","$15.96 per 1 year increase in breeding frequency per household per year",{"$f":"Q8*R8","v":19.844240963855423},2009,"AUD",15.96,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O8,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, native fish, healthy vegetation, waterbird habitat, income, environmental attitudes","Mean",13.02,19.28,"n/a","n/a","n/a","Murray River, Australia","Australia","South Australia","2008-2009",47.9,0.45399999999999996,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","Colonial waterbird breeding now occurs in some wetlands along the Murray one in every 10 years. The levels presented to survey respondents are improvement to the 1 in 10 frequency. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[6,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from Northern Territory, Western Australia, Queensland, Tasmania","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1 year increase to the frequency of waterbird breeding events per household per year (max. 10 years)","Drought, climate change","Species","$18.64 per 1 year increase in breeding frequency per household per year",23.176481927710842,2009,"AUD",18.64,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O9,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, native fish, health vegetation, waterbird habitat, age, environmental attitudes","Mean",15.4,19.28,"n/a","n/a","n/a","Murray River, Australia","Australia","Northerth Territory; Queensland; Western Australia; Tasmania","2008-2009",48.2,0.43100000000000005,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","Colonial waterbird breeding now occurs in some wetlands along the Murray one in every 10 years. The levels presented to survey respondents are improvement to the 1 in 10 frequency. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[7,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from New South Wales","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in native fish populations per household per year (max. 10 years) ","Drought, climate change","Species","$2.50 per 1% increase per household per year",3.1084337349397591,2009,"AUD",2.5,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O10,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Water bird breeding, cost, healthy vegetation, native fish, age, gender, environmental attitudes","Mean",1.77,3.16,"n/a","n/a","n/a","Murray River, Australia","Australia","New South Wales","2008-2009",47.6,0.44699999999999995,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current native fish populations are 30% of original. The highest level presented to survey respondents was a 60% increase (to current), which is the target in the Murray-Darling Fish Strategy. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[8,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from Australian Capital Territory","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in native fish populations per household per year (max. 10 years) ","Drought, climate change","Species","$3.58  per 1% increase per household per year",4.451277108433735,2009,"AUD",3.58,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O11,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, waterbird habitat, native fish","Mean",2.0499999999999998,5.05,"n/a","n/a","n/a","Murray River, Australia","Australia","Australian Capital Territory","2008-2009",47.9,0.48099999999999998,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current native fish populations are 30% of original. The highest level presented to survey respondents was a 60% increase (to current), which is the target in the Murray-Darling Fish Strategy. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[9,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from Victoria","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in native fish populations per household per year (max. 10 years) ","Drought, climate change","Species","$2.28  per 1% increase per household per year",2.83489156626506,2009,"AUD",2.2799999999999998,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O12,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, native fish, waterbird habitat, health vegetation, waterbird habitat, income, age, environmental attitudes, ","Mean",0.97,3.44,"n/a","n/a","n/a","Murray River, Australia","Australia","Victoria","2008-2009",44.7,0.43500000000000005,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current native fish populations are 30% of original. The highest level presented to survey respondents was a 60% increase (to current), which is the target in the Murray-Darling Fish Strategy. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[10,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from South Australia","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in native fish populations per household per year (max. 10 years) ","Drought, climate change","Species","$2.15  per 1% increase per household per year",2.6732530120481925,2009,"AUD",2.15,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O13,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, native fish, healthy vegetation, waterbird habitat, income, environmental attitudes","Mean",1.31,2.88,"n/a","n/a","n/a","Murray River, Australia","Australia","South Australia","2008-2009",47.9,0.45399999999999996,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current native fish populations are 30% of original. The highest level presented to survey respondents was a 60% increase (to current), which is the target in the Murray-Darling Fish Strategy. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[11,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from Northern Territory, Western Australia, Queensland, Tasmania","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in native fish populations per household per year (max. 10 years) ","Drought, climate change","Species","$1.71  per 1% increase per household per year",2.1261686746987949,2009,"AUD",1.71,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O14,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, native fish, health vegetation, waterbird habitat, age, environmental attitudes","Mean",0.78,2.5,"n/a","n/a","n/a","Murray River, Australia","Australia","Northerth Territory; Queensland; Westerna Australia; Tasmania","2008-2009",48.2,0.43100000000000005,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current native fish populations are 30% of original. The highest level presented to survey respondents was a 60% increase (to current), which is the target in the Murray-Darling Fish Strategy. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[12,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from New South Wales","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in area of healthy vegetation per household per year (max. 10 years) ","Drought, climate change","Native vegetation","$2.88 per 1,780 hectares per household per year",3.580915662650602,2009,"AUD",2.88,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O15,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Water bird breeding, cost, healthy vegetation, native fish, age, gender, environmental attitudes","Mean",2.27,3.54,"n/a","n/a","n/a","Murray River, Australia","Australia","New South Wales","2008-2009",47.6,0.44699999999999995,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current area of healthy vegetation is 178,000 hectares, therefore 1% is 1,780 hectares. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[13,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from Australian Capital Territory","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in area of healthy vegetation per household per year (max. 10 years) ","Drought, climate change","Native vegetation","$4.42 per 1,780 hectares per household per year",5.4957108433734936,2009,"AUD",4.42,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O16,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, waterbird habitat, native fish","Mean",3.21,5.91,"n/a","n/a","n/a","Murray River, Australia","Australia","Australian Capital Territory","2008-2009",47.9,0.48099999999999998,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current area of healthy vegetation is 178,000 hectares, therefore 1% is 1,780 hectares. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[14,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from Victoria","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in area of healthy vegetation per household per year (max. 10 years) ","Drought, climate change","Native vegetation","$2.87 per 1,780 hectares per household per year",3.5684819277108435,2009,"AUD",2.87,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O17,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, native fish, cost, waterbird habitat, health vegetation, waterbird habitat, income, age, environmental attitudes, ","Mean",1.91,3.86,"n/a","n/a","n/a","Murray River, Australia","Australia","Victoria","2008-2009",44.7,0.43500000000000005,"n/a","n/a","Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current area of healthy vegetation is 178,000 hectares, therefore 1% is 1,780 hectares. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[15,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from South Australia","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in area of healthy vegetation per household per year (max. 10 years) ","Drought, climate change","Native vegetation","$3.88 per 1,780 hectares per household per year",4.8242891566265058,2009,"AUD",3.88,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O18,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, native fish, cost, healthy vegetation, waterbird habitat, income, environmental attitudes","Mean",3.13,4.78,null,null,null,"Murray River, Australia","Australia","South Australia","2008-2009",47.9,0.45399999999999996,null,null,"Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current area of healthy vegetation is 178,000 hectares, therefore 1% is 1,780 hectares. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[16,"Hatton MacDonald, et al. 2011","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP for improvements in environmental quality on River Murray for respondents from Northern Territory, Western Australia, Queensland, Tasmania","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a 1% increase in area of healthy vegetation per household per year (max. 10 years) ","Drought, climate change","Native vegetation","$3.31 per 1,780 hectares per household per year",4.1155662650602407,2009,"AUD",3.31,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O19,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Waterbird breeding, cost, native fish, health vegetation, waterbird habitat, age, environmental attitudes","Mean",2.5299999999999998,4.78,null,null,null,"Murray River, Australia","Australia","Northerth Territory; Queensland; Westerna Australia; Tasmania","2008-2009",48.2,0.43100000000000005,null,null,"Choice modeling","Panel multinomial logit error components","n/a",11644,"MacDonald, D.H., Morrison, M.D., Rose, J.M., and Boyle, K.J.",2011,"Yes","Australian Journal of Agriculture and Resource Economics","The current area of healthy vegetation is 178,000 hectares, therefore 1% is 1,780 hectares. Respondents were told each option has an annual household cost that will be paid each year for a 10-year period through increased taxes and higher prices for food.","Hatton MacDonald, D., Morrison, M.D., Rose, J.M., and Boyle, K.J. 2011. Valuing a multistate river: the case of the River Murray. AJARE. 55: 374-392."]
[17,"Hatton MacDonald, et al. 2010","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to increase the size and improve the quality of scrublands in the Upper South East, South Australia, for Adelaide respondents.","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per 1,000 hectares of scrublands per household per year (max. 5 years)","Human activity","Native vegetation; Endangered species","$0.73 per 1,000 hectares per household per year",0.88192507804370446,2010,"AUD",0.73,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O20,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2081165452653486},"Scrubland, grassland, wetland, levy, gender, education, age, own land in the Upper South East","Mean","n/a","n/a","n/a","n/a","n/a","Upper South East, South Australia","Australia","Adelaide","n/a",47.48,48.67,43232,"AUD","Choice modeling","Conditional logit model",731,1457,"MacDonald, D.H., Morrison, M.D.",2010,"Yes","Australasian Journal of Environmental Management","Native vegetation is described in terms of its value for habitat, threat status of species present and ecosystem function. Respondents were told that each option had a household cost that would be collected via an incomes tax levey each year for 5 years. The year the survey was administered was not included, hence CPI conversation assumes the orginal WTP estimate is from 2010, date of publish.","Hatton MacDonald, D., Morrison, M.D., 2010. Valuing biodiversity using habitat types. Australiasian Journal of Environemental Management. 17:4, 235-243."]
[18,"Hatton MacDonald, et al. 2010","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to increase the size and improve the quality of grassy woodlands in the Upper South East, South Australia.","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per 1,000 hectares of grasslands per household per year (max. 5 years)","Human activity","Native vegetation; Endangered species","$1.04 per 1,000 hectares per household per year",1.2564412070759625,2010,"AUD",1.04,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O21,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2081165452653486},"Scrubland, grassland, wetland, levy, gender, education, age, own land in the Upper South East","Mean","n/a","n/a","n/a","n/a","n/a","Upper South East, South Australia","Australia","Adelaide","n/a",47.48,48.67,43232,"AUD","Choice modeling","Conditional logit model",731,1457,"MacDonald, D.H., Morrison, M.D.",2010,"Yes","Australasian Journal of Environmental Management","Native vegetation is described in terms of its value for habitat, threat status of species present and ecosystem function. Respondents were told that each option had a household cost that would be collected via an incomes tax levey each year for 5 years. The year the survey was administered was not included, hence CPI conversation assumes the orginal WTP estimate is from 2010, date of publish.","Hatton MacDonald, D., Morrison, M.D., 2010. Valuing biodiversity using habitat types. Australiasian Journal of Environemental Management. 17:4, 235-243."]
[19,"Kragt, et al. 2016","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to increase the area of native vegetation on farmland in Australia","No",2,2,"Limited application; not NH specific","WTP for an increase in 1 ha of native vegetation on farmland per household per year","Human activity","Native vegetation","$19.16 per household per hectare per year",21.492521739130435,2013,"AUD",19.16,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O22,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1217391304347826},"Cost, native vegetation, carbon storage, education, Queensland","Mean","n/a","n/a","n/a","n/a","n/a","Australia","Australia","Urban & non-urban populations from New South Wales, Queensand, Victoria, Western Australia ",2013,41.76,49,"n/a","n/a","Choice modeling","Multinomial logit model","n/a",5568,"Kragt, M.E., Gibson, F.L., Maseyk, F., Wilson, K.A.",2016,"Yes","Ecological Ecconomics","The WTP estimates in this study are provided in the context of farmers receiving compensation for making changes to farm management to enable carbon farming.","Kragt, M.E., Gibson, F.L., Maseyk, F., Wilson, K.A. 2016. Public willingness to pay for carbon farming and its co-benefits. Ecological Economics. 126:125-131"]
[20,"Blamey, et al. 2000","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to maintain endangered species population size in the Desert Uplands, Queensland","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","A one-off WTP to avoid loss of one endangered species in the region, per person","Human activity","Endangered species","$11.39 per person per species",19.781286462228874,1997,"AUD",11.39,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O23,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.736724008975318},"Income tax, jobs, regional income, number of endangered species, poulation of non-threatened species, area of unique ecosystems","Mean","n/a","n/a","n/a","n/a","n/a","Desert Uplands, Queensland","Australia","Brisbane",1997,"n/a","n/a","n/a","n/a","Choice modeling","Nested logit","n/a",5769,"Blamey, R., Rolfe, J., Bennett, J., Morrison, M.",2000,"Yes","Australian Journal of Agriculture and Resource Economics","The WTP estimates in this study are provided in the context of tree clearing for ranching to evaluate the value of preserving remnant native vegetation.","Blamey, R., Rolfe, J., Bennett, J., Morrison, M. 2000. Valuing remnant vegetation in Central Qeensland using choice modeling. Australian Journal of Agricultural and Resource Economics. 44, 3, pp 439-456."]
[21,"Kragt, et al. 2016","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to increase the amount of stored carbon on farmland in Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for every metric tonne reduction in CO2-e per household per year.","Human activity","Carbon storage","$1.13 per household per metric tonne reduction in CO2-e per year",1.2675652173913041,2013,"AUD",1.1299999999999999,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O24,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1217391304347826},"Cost, native vegetation, carbon storage, age, Queensland","Mean","n/a","n/a","n/a","n/a","n/a","Australia","Australia","Urban & non-urban populations from New South Wales, Queensand, Victoria, Western Australia ",2013,41.76,49,"n/a","n/a","Choice modeling","Multinomial logit model","n/a",5568,"Kragt, M.E., Gibson, F.L., Maseyk, F., Wilson, K.A.",2016,"Yes","Ecological Ecconomics","The WTP estimates in this study are provided in the context of farmers receiving compensation for making changes to farm management to enable carbon farming.","Kragt, M.E., Gibson, F.L., Maseyk, F., Wilson, K.A. 2016. Public willingness to pay for carbon farming and its co-benefits. Ecological Economics. 126:125-131"]
[22,"Blamey, et al. 2000","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to avoid a loss in non-endangered species population size in the Desert Uplands, Queensland","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","A one-off WTP to avoid each 1% loss in a non-endangered species population size, per person","Human activity","Species","$1.69 per person per 1% loss in species population size",2.9350635751682872,1997,"AUD",1.69,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O25,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.736724008975318},"Income tax, jobs, regional income, number of endangered species, poulation of non-threatened species, area of unique ecosystems","Mean","n/a","n/a","n/a","n/a","n/a","Desert Uplands, Queensland","Australia","Brisbane",1997,"n/a","n/a","n/a","n/a","Choice modeling","Nested logit","n/a",5769,"Blamey, R., Rolfe, J., Bennett, J., Morrison, M.",2000,"Yes","Australian Journal of Agriculture and Resource Economics","The WTP estimates in this study are provided in the context of tree clearing for ranching to evaluate the value of preserving remnant native vegetation.","Blamey, R., Rolfe, J., Bennett, J., Morrison, M. 2000. Valuing remnant vegetation in Central Qeensland using choice modeling. Australian Journal of Agricultural and Resource Economics. 44, 3, pp 439-456."]
[23,"Blamey, et al. 2000","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to avoid a loss in area of unique ecosystems in the Desert Uplands, Queensland","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","A one-off WTP to avoid each 1% loss in area of unique ecosystems, per household","Human activity","Threatened ecosystems","$3.68 per person per 1% loss in area of unique ecosystem",6.3911443530291701,1997,"AUD",3.68,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O26,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.736724008975318},"Income tax, jobs, regional income, number of endangered species, population of non-threatened species, area of unique ecosystems","Mean","n/a","n/a","n/a","n/a","n/a","Desert Uplands, Queensland","Australia","Brisbane",1997,"n/a","n/a","n/a","n/a","Choice modeling","Nested logit","n/a",5769,"Blamey, R., Rolfe, J., Bennett, J., Morrison, M.",2000,"Yes","Australian Journal of Agriculture and Resource Economics","The WTP estimates in this study are provided in the context of tree clearing for ranching to evaluate the value of preserving remnant native vegetation.","Blamey, R., Rolfe, J., Bennett, J., Morrison, M. 2000. Valuing remnant vegetation in Central Qeensland using choice modeling. Australian Journal of Agricultural and Resource Economics. 44, 3, pp 439-456."]
[24,"Hatton MacDonald, et al. 2010","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to increase the size and improve the quality of scrublands in the Upper South East, South Australia, for Upper South East respondents.","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per 1,000 hectares of scrublands per household per year (max. 5 years)","Human activity","Native vegetation; Endangered species","$0.97 per 1,000 hectares per household per year",1.1718730489073881,2010,"AUD",0.97,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O27,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2081165452653486},"Scrublands, wetlands, levy, gender, education, age, income","Mean","n/a","n/a","n/a","n/a","n/a","Upper South East, South Australia","Australia","Upper South East","n/a",47.59,51.77,39109,"AUD","Choice modeling","Conditional logit model",731,1457,"MacDonald, D.H., Morrison, M.D.",2010,"Yes","Australasian Journal of Environmental Management","Native vegetation is described in terms of its value for habitat, threat status of species present and ecosystem function. Respondents were told that each option had a household cost that would be collected via an income tax levy each year for 5 years. The date the survey was administered was not included, hence CPI conversation assumes the orginal WTP estimate is from 2010, date of publish.","Hatton MacDonald, D., Morrison, M.D., 2010. Valuing biodiversity using habitat types. Australiasian Journal of Environemental Management. 17:4, 235-243."]
[25,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to improve biodiversity in native forest areas of the Mount Lofty Ranges State Forest, South Australia.","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per 20% (1050 hectares) improvement in biodiversity per household per year (max. 5 years)","Invasive species","Native vegetation; Species; Endangered species","$63.88 per 20% (1050 hectares) improvement per household per year",73.412204899777279,2012,"AUD",63.88,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O28,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Payment, time spent in the forest ","Mean",51.2,86.89,"n/a","n/a","n/a","State Forests, Mount Lofty Ranges, South Australia","Australia","Adelaide area (82%) and South Australia (18%)","n/a",49,48,"n/a","n/a","Contingent valuation","Logit model",372,372,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","The value is described in the WTP question as an improvement in biodiversity in native forest areas. The information provided in the survey was that, \"There are important biodiversity values associated with the native forests which provide habitat for over 200 rare, endangered or vulnerable plant and animal species.  The areas of native forest have high habitat and connectivity value because the overall area of remnant vegetation in the Mt Lofty Ranges is limited.\"  The improvement is achieved by reducing the area of native forest under threat from weeds and pests by 20%, where the current area under threat is 60-70%.","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[26,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to improve biodiversity in native forest areas of the Mid North Forests, South Australia.","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per 20% (900 hectares) improvement in biodiversity per household per year (max. 5 years)","Invasive species","Native vegetation; Species; Endangered species","$44.69 per 20% (900 hectares) improvement per household per year",51.358663697104667,2012,"AUD",44.69,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O29,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Payment, education","Mean",35.39,58.61,"n/a","n/a","n/a","Mid North Forests, South Australia","Australia","Adelaide area (82%) and South Australia (18%)","n/a",49,48,"n/a","n/a","Contingent valuation","Logit model",380,380,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","The value is described in the wtp question as an improvement in biodiversity in native forest areas. The information provided in the survey was that, \"There are important biodiversity values associated with the native forests which provide habitat for over 200 rare, endangered or vulnerable plant and animal species.  The areas of native forest have high habitat and connectivity value because the overall area of remnant vegetation in the Mt Lofty Ranges is limited.\"  The improvement is achieved by reducing the area of native forest under threat from weeds and pests by 20%, where the current area under threat is 60-70%.","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[27,"Rolfe and Brouwer 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Water quality","Meta-analysis of 19 WTP studies for river and waterway health in Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per household per kilometer of river in good health","Not specified","Condition of waterways","$2.49 per household per kilometer of river in good health",3.0082101977107185,2010,"AUD",2.4900000000000002,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O30,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2081165452653486},"Ecosystem, environmental attribute, catchment, study year, survey method, payment vehicle, number of choice tasks, statistical model, authors","Mean","n/a","n/a","n/a",3.76,"n/a","Queensland, New South Wales, Victoria, South Australia, Western Australia","Australia","Queensland, New South Wales, Victoria, South Australia, Western Australia","2000-2010","n/a","n/a","n/a","n/a","Choice modeling","Meta-regression model","19 studies",145,"Rolfe, J., Brouwer., R",2012,"Yes","Journal of Choice Modelling","n/a","Rolfe, J., Brouwer, R. 2012. Design effects in a meta-analysis of river health choice experiments in Australia. Journal of Choice Modelling, 5(2), pp 81-97"]
[28,"Hatton MacDonald, et al. 2010","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to increase the size and improve the quality of wetlands in the Upper South East, South Australia, for Upper South East respondents.","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per 1,000 hectares of wetlands per household per year (max. 5 years)","Human activity","Native vegetation; Endangered species; Ecosystem function","$0.45 per 1,000 hectares per household per year",0.54365244536940693,2010,"AUD",0.45,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O31,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2081165452653486},"Scrublands, wetlands, levy, gender, education, age, income","Mean","n/a","n/a","n/a","n/a","n/a","Upper South East, South Australia","Australia","Upper South East","n/a",47.59,51.77,39109,"AUD","Choice modeling","Conditional logit model",731,1457,"MacDonald, D.H., Morrison, M.D.",2010,"Yes","Australasian Journal of Environmental Management","Wetland is described in terms of its value for habitat, threat status of species present and ecosystem function. Respondents were told that each option had a household cost that would be collected via an incomes tax levey each year for 5 years. The date the survey was administered was not included, hence CPI conversation assumes the orginal WTP estimate is from 2010, date of publish.","Hatton MacDonald, D., Morrison, M.D., 2010. Valuing biodiversity using habitat types. Australiasian Journal of Environmental Management. 17:4, 235-243."]
[29,"Hatton MacDonald, et al. 2010","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Ecosystems","WTP to increase the size and improve the quality of wetlands in the Upper South East, South Australia, for Adelaide respondents.","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per 1,000 hectares of wetlands per household per year (max. 5 years)","Human activity","Native vegetation; Endangered species; Ecosystem function","$1.41 per 1,000 hectares per household per year",1.7034443288241414,2010,"AUD",1.41,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O32,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2081165452653486},"Scrublands, wetlands, levy, gender, education, age, income","Mean","n/a","n/a","n/a","n/a","n/a","Upper South East, South Australia","Australia","Adelaide","n/a",47.48,48.67,43232,"AUD","Choice modeling","Conditional logit model",731,1457,"MacDonald, D.H., Morrison, M.D.",2010,"Yes","Australasian Journal of Environmental Management","Wetland is described in terms of its value for habitat, threat status of species present and ecosystem function. Respondents were told that each option had a household cost that would be collected via an incomes tax levey each year for 5 years. The date the survey was administered was not included, hence CPI conversation assumes the orginal WTP estimate is from 2010, date of publish.","Hatton MacDonald, D., Morrison, M.D., 2010. Valuing biodiversity using habitat types. Australiasian Journal of Environmental Management. 17:4, 235-243."]
[30,"Kragt and Bennett 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Water quality","WTP to increase the kilometers of healthy native riverside vegetation in the George catchment, Tasmania","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","One-off WTP per household per kilometer of native riverside vegetation","Human activity","Riparian vegetation","$4.25 per household per kilometer of native riverside vegetation",5.2843373493975898,2009,"AUD",4.25,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O33,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Cost, native riverside vegetation, rare species","Mean",2.98,5.43,"n/a","n/a","n/a","George catchment, Tasmania","Australia","Hobart and Launceston, Tasmania","n/a","n/a",34,"n/a","n/a","Choice modeling","Mixed logit",547,2714,"M. E. Kragt, J. W. Bennett",2012,"Yes","Environment and Resource Economics","n/a","Kragt, M.E., Bennett, J.W. 2012. Attribute Framing in Choice Experiments: How Do Attribute Level Descriptions Affect Value Estimates? Environ Resource Econ (2012) 51:43–59\nDOI 10.1007/s10640-011-9487-5"]

{"sheet":"Social values","index":4,"n_rows":37,"n_cols":43,"rows_kept":37,"cut":false,"hidden":false,"merged":[]}
["STUDY IDENTIFICATION AND RELEVANCE",null,null,null,null,null,null,null,null,"WILLINGNESS TO PAY",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"SAMPLE CHARACTERISTICS",null,null,null,null,null,null,null,"METHODS",null,null,null,"PUBLICATION CHARACTERISTICS"]
[]
["Observation ID\n(Identification number for every unique WTP observation)","Citation","Hazard types applicable","Value type applicable","Brief summary of study objective(s)","Study conducted in the context of a natural hazard?\n(Yes or No)","Study quality\n(1=high, 2=average, 3=poor)","Benefits transfer applicability\n(1=highly, 2=moderately, 3=rarely)","Recommendations \n(Applicability for benefit transfer in natural hazard context)","Definition of physical or marginal change\n(This is what is being measured, the value of the change in the outcome)","Hazard types identified","Specific value type measured","WTP estimate - original study value","WTP estimate - present value\n(2019 $AU)","Currency year - original study ","Currency - original study","WTP converted to $AU in original year from the study (used for calculating present value)","CPI ratio (used for calculating present value)","Other variables that significantly explain WTP (e.g. sample characteristics and survey attributes)","WTP measure","95% confidence interval: lower \n(If available; original study)","95% confidence interval: upper \n(If available; orginal study)","Standard Error\n(If available)","Standard deviation\n(If available)","p-values\n(If available)","Country/region studied","Country of source studies","Sampled population\n(The target population - e.g. this might be the whole population of the region, or it might be a specific subset of the whole population)","Range in years of data","Mean sample age\n(Measured in years)","% Male","Mean sample income","Income units\n(Units of measurement)","Data collection method used","Analysis model","Modelled number of individuals\n(Number of individuals reported for the regression)","Modelled number of observations\n(Number of observations reported for the regression)","Authors","Year published","Peer reviewed?\n(Yes or No)","Journal name","Additional notes","Full reference"]
[1,"Rolfe and Windle 2003","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Cultural heritage","WTP for the protection of Aboriginal cultural heritage sites among Indigenous and non-Indigenous communities","No",1,3,"Limited application; not NH specific","WTP per household per year for a 1% change in Aboriginal cultural heritage sites protected","Human activity","Indigenous heritage significance","$3.22 per 27 sites protected person per year",{"$f":"Q4*R4","v":4.9675376884422109},2001,"AUD",3.22,{"$f":"INDEX('CPI adjustment'!$AC$18:$AC$38,MATCH(O4,'CPI adjustment'!$AB$18:$AB$38,0))","v":1.5427135678391959},"Other attributes (cost, waterways, cultural heritage, reserve), understanding of the survey, gender, children, environmental organization, income, age","Part-worth ",1.89,5.43,"n/a","n/a","n/a","Central Queensland","Australia","Indigenous persons, Rockhampton",2001,38,41,42062,"AUD/year","Choice modeling","Multinomial logit model","n/a",496,"Rolfe, J., Windle, J.",2003,"Yes","The Economic Record","Using the best information available, 2724 Aboriginal cultural heritage places are currently recorded in the Fitzroy Basin. 30% of the sample had an education beyond year 12. Indigenous population that was sampled preferred more cultural heritage sites to be protected. Note that this cited paper also contains WTP data for two other population samples: Rockhampton (non-indigenous) and Brisbane. Those values have been omitted from the Value Tool as they require additional interpretation beyond what can be accommodated in this tool. The reported WTP estimates were -$3.22 and -$2.08 per 27 sites protected per person per year (27 sites = 1% of total sites protected), for Rockhampton and Brisbane, respectively. However, this reflects that both of these samples had a positive WTP for a 10% or 20% increase in protection of cultural heritage sites relative to base levels, but that an increase in protection to 30% was a major disincentive on choice, leading to an average negative WTP per % increase in protection overall. This should be interpreted as a non-linear preference for protecting cultural heritage sites, with a modest increase in protection being positively valued. Readers should refer to the full paper for a thorough description.","Rolfe, J. and Windle, J. Valuing the Protection of Aboriginal Cultural Heritage Sites. 2003. The Economic Record. 79(2003): 85-95"]
[2,"Landry, et al. 2007","Fire, Flood, Storm, Earthquake, Tsunami","Social disruption","WTP for a sample of relatively poor households to return home after Hurricane Katrina.","Yes",1,2,"Useful for NH BT, especially flood context; be aware of/adjust for population differences","WTP per person to return home, per year away from home","Flood, Storm","Displaced people","$3,954 per person per year",{"$f":"Q5*R5","v":7299.5872371196147},2005,"USD",5216.91,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O5,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3992166315155168},"Income, age, residence located in New Orleans Metropolitan Area, born in county residence","Mean",3651,4692,"n/a","n/a","n/a","New Orleans","USA","Evacuees, Houston","2005-2006","n/a",0.51,18704,"USD/year","Stated preference","Logistic regression model","n/a",746,"Landry, C.E., Bin, O., Hindsley, P., Whitehead, J.C., Wilson, K.",2007,"Yes","Southern Economic Journal","Paper results indicated that the average individual is willing to sacrifice $1.94 (2005 USD) per hour in higher wages to return home. The estimate listed aggregates this to an annual WTP, based on average hours worked.","Landry, C.E., Bin, O., Hindsley, P., Whitehead, J.C., Wilson, K. 2007. Going Home: Evacuation-Migration Decisions of Hurrican Katrina Survivors. Southern Economic Journal. 74(2): 326-343"]
[3,"Li et al. 2010","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","WTP to avoid a delay in commuter arrival, in the context of Australian toll roads.","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per person per trip to avoid an hour late arrival","Not specified","Moveability","$38.86 per person per hour per trip",49.173253405994551,2008,"AUD",38.86,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O6,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2653950953678474},"n/a","Mean","n/a","n/a","n/a",2.52,"n/a","Australia","Australia","Commuters",2008,"n/a","n/a","n/a","n/a","Choice modeling","Mixed multinomial logit","n/a",4496,"Li, Z., Hensher, D.A, Rose, J.M",2010,"Yes","Transportation Research Part E","n/a","Li, Z., Hensher, D.A., Rose, J.M. 2010. Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence. Transportation Research Part E. 46: 384–403."]
[4,"Li et al. 2010","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","WTP to avoid a delay in non commuter arrival, in the context of Australian toll roads.","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per person per trip to avoid an hour late arrival","Not specified","Moveability","$18.98 per person per hour per trip",24.017198910081746,2008,"AUD",18.98,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O7,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2653950953678474},"n/a","Mean","n/a","n/a","n/a",1.18,"n/a","Australia","Australia","Non-commuters",2008,"n/a","n/a","n/a","n/a","Choice modeling","Mixed multinomial logit","n/a",5344,"Li, Z., Hensher, D.A, Rose, J.M",2010,"Yes","Transportation Research Part E","n/a","Li, Z., Hensher, D.A., Rose, J.M. 2010. Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence. Transportation Research Part E. 46: 384–403."]
[5,"Hensher et al. 2014","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","Estimate WTP to avoid the disruption of electricity service to a household","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a residential customer (household) to avoid an 24 hour electricity outage ","Not specified","Basic services","$70.38 per customer (household) per 24 hour outage ",103.4973780873971,2003,"AUD",70.38,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O8,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.4705509816339457},"Price, number and length of outage, day and time of outage, length of notice given, emergency cause of outage","Mean","n/a","n/a","n/a",72.873999999999995,"n/a","Canberra, Australian Capital Territory","Australia","Canberra","2002-2003",46,0.39,42000,"AUD/year","Choice modeling","Mixed logit model","n/a",204,"Hensher, D., Shore, N., Train, K.",2014,"Yes","Applied Energy","n/a","Hensher, D., Shore, N., Train, K. 2014. Willingness to pay for residential electricity supply quality and reliability. Applied Energy. 115 (2014): 280-292."]
[6,"Hensher, et al. 2014","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","Estimate WTP to avoid the disruption of electricity service to a household","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a residential customer to avoid an 1 hour electricity outage ","Not specified","Basic services","$37.48 per customer (household) per 1 hour outage ",55.116250791640283,2003,"AUD",37.479999999999997,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O9,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.4705509816339457},"Price, number and length of outage, day and time of outage, length of notice given, emergency cause of outage","Mean","n/a","n/a","n/a",31.222999999999999,"n/a","Canberra, Australian Capital Territory","Australia","Canberra","2002-2003",46,0.39,42000,"AUD/year","Choice modeling","Mixed logit model","n/a",204,"Hensher, D., Shore, N., Train, K.",2014,"Yes","Applied Energy","n/a","Hensher, D., Shore, N., Train, K. 2014. Willingness to pay for residential electricity supply quality and reliability. Applied Energy. 115 (2014): 280-292."]
[7,"Hensher, et al. 2014","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","Estimate WTP to avoid the disruption of electricity service to a household","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a residential customer to avoid an 2 hour electricity outage ","Not specified","Basic services","$43.57 per customer (household) per 2 hour outage ",64.071906269791015,2003,"AUD",43.57,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O10,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.4705509816339457},"Price, number and length of outage, day and time of outage, length of notice given, emergency cause of outage","Mean","n/a","n/a","n/a",36.514000000000003,"n/a","Canberra, Australian Capital Territory","Australia","Canberra","2002-2003",46,0.39,42000,"AUD/year","Choice modeling","Mixed logit model","n/a",204,"Hensher, D., Shore, N., Train, K.",2014,"Yes","Applied Energy","n/a","Hensher, D., Shore, N., Train, K. 2014. Willingness to pay for residential electricity supply quality and reliability. Applied Energy. 115 (2014): 280-292."]
[8,"Hensher, et al. 2014","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","Estimate WTP to avoid the disruption of electricity service to a household","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a residential customer to avoid an 4 hour electricity outage ","Not specified","Basic services","$51.23 per customer (household) per 4 hour outage ",75.336326789107034,2003,"AUD",51.23,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O11,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.4705509816339457},"Price, number and length of outage, day and time of outage, length of notice given, emergency cause of outage","Mean","n/a","n/a","n/a",44.368000000000002,"n/a","Canberra, Australian Capital Territory","Australia","Canberra","2002-2003",46,0.39,42000,"AUD/year","Choice modeling","Mixed logit model","n/a",204,"Hensher, D., Shore, N., Train, K.",2014,"Yes","Applied Energy","n/a","Hensher, D., Shore, N., Train, K. 2014. Willingness to pay for residential electricity supply quality and reliability. Applied Energy. 115 (2014): 280-292."]
[9,"Hensher, et al. 2014","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","Estimate WTP to avoid the disruption of electricity service to a household","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a residential customer to avoid an 6 hour electricity outage ","Not specified","Basic services","$56.28 per customer (household) per 6 hour outage ",82.762609246358465,2003,"AUD",56.28,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O12,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.4705509816339457},"Price, number and length of outage, day and time of outage, length of notice given, emergency cause of outage","Mean","n/a","n/a","n/a",49.99,"n/a","Canberra, Australian Capital Territory","Australia","Canberra","2002-2003",46,0.39,42000,"AUD/year","Choice modeling","Mixed logit model","n/a",204,"Hensher, D., Shore, N., Train, K.",2014,"Yes","Applied Energy","n/a","Hensher, D., Shore, N., Train, K. 2014. Willingness to pay for residential electricity supply quality and reliability. Applied Energy. 115 (2014): 280-292."]
[10,"Hensher, et al. 2014","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","Estimate WTP to avoid the disruption of electricity service to a household","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a residential customer to avoid an 12 hour electricity outage ","Not specified","Basic services","$65.57 per customer (household) per 12 hour outage ",{"$f":"Q13*R13","v":96.424027865737813},2003,"AUD",65.569999999999993,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O13,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.4705509816339457},"Price, number and length of outage, day and time of outage, length of notice given, emergency cause of outage","Mean","n/a","n/a","n/a",60.887,"n/a","Canberra, Australian Capital Territory","Australia","Canberra","2002-2003",46,0.39,42000,"AUD/year","Choice modeling","Mixed logit model","n/a",204,"Hensher, D., Shore, N., Train, K.",2014,"Yes","Applied Energy","n/a","Hensher, D., Shore, N., Train, K. 2014. Willingness to pay for residential electricity supply quality and reliability. Applied Energy. 115 (2014): 280-292."]
[11,"Hensher, et al. 2014","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","Estimate WTP to avoid the disruption of electricity service to a household","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a residential customer to avoid an 30 minute electricity outage ","Not specified","Basic services","$33.17 per customer (household) per 30 minute outage ",48.778176060797982,2003,"AUD",33.17,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O14,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.4705509816339457},"Price, number and length of outage, day and time of outage, length of notice given, emergency cause of outage","Mean","n/a","n/a","n/a",28.265999999999998,"n/a","Canberra, Australian Capital Territory","Australia","Canberra","2002-2003",46,0.39,42000,"AUD/year","Choice modeling","Mixed logit model","n/a",204,"Hensher, D., Shore, N., Train, K.",2014,"Yes","Applied Energy","n/a","Hensher, D., Shore, N., Train, K. 2014. Willingness to pay for residential electricity supply quality and reliability. Applied Energy. 115 (2014): 280-292."]
[12,"Hensher, et al. 2014","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","Estimate WTP to avoid the disruption of electricity service to a household","No",1,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP for a residential customer to avoid an 8 hour electricity outage ","Not specified","Basic services","$60.05 per customer (household) per 8 hour outage ",88.306586447118434,2003,"AUD",60.05,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O15,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.4705509816339457},"Price, number and length of outage, day and time of outage, length of notice given, emergency cause of outage","Mean","n/a","n/a","n/a",54.343000000000004,"n/a","Canberra, Australian Capital Territory","Australia","Canberra","2002-2003",46,0.39,42000,"AUD/year","Choice modeling","Mixed logit model","n/a",204,"Hensher, D., Shore, N., Train, K.",2014,"Yes","Applied Energy","n/a","Hensher, D., Shore, N., Train, K. 2014. Willingness to pay for residential electricity supply quality and reliability. Applied Energy. 115 (2014): 280-292."]
[13,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Recreation","WTP per trip for the use of recreational facilities in the Mount Lofty Range State Forest, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per household per trip for use of recreational facilities","Not specified","Recreation activity","$31.99 per household per trip",36.763563474387517,2012,"AUD",31.99,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O16,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost, education, income","Mean",28.27,36.64,"n/a","n/a","n/a","State Forests, Mount Lofty Ranges, South Australia","Australia","South Australia",2012,49,48,"n/a","n/a","Travel cost","Negative binomial travel cost model",804,804,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","These estimates are for the value of a recreational trip across the whole sample.  It includes the zero values associated with the ‘non-visitors’ and also includes trips were there may have been a number of people in the group.  It is not an estimate of an individual trip value. It is reasonable to assume that in the majority of cases, the information provided by respondents in the survey about the number of people included in a trip to the forests related to their immediate household. ","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[14,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Recreation","WTP per year for the use of recreational facilities in the Mount Lofty Range State Forests, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per household per year (1.33 trips) for use of recreational facilities","Not specified","Recreation activity","$42.55 per household per year",48.899331848552329,2012,"AUD",42.55,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O17,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost, education, income","Mean",37.6,48.73,"n/a","n/a","n/a","State Forests, Mount Lofty Ranges, South Australia","Australia","Adelaide area (82%) and South Australia (18%)",2012,49,48,"n/a","n/a","Travel cost","Negative binomial travel cost model",804,804,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","These estimates are for the value of a recreational trip across the whole sample.  It includes the zero values associated with the ‘non-visitors’ and also includes trips were there may have been a number of people in the group.  It is not an estimate of an individual trip value. It is reasonable to assume that in the majority of cases, the information provided by respondents in the survey about the number of people included in a trip to the forests related to their immediate household. ","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[15,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Recreation","WTP per year for the use of the most visited recreational facilities in the Mount Lofty Range State Forests, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per household per year (2.25 trips) for use of most visited recreational facilities","Not specified","Recreation activity","$208.87 per household per year",240.03768374164807,2012,"AUD",208.87,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O18,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost, education, income","Mean",161.24,266.83,"n/a","n/a","n/a","most visited places in State Forests, Mount Lofty Ranges, South Australia","Australia","Adelaide area (82%) and South Australia (18%)",2012,49,48,"n/a","n/a","Travel cost","Negative binomial travel cost model",802,802,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","These estimates are for the value of a recreational trip across the whole sample.  It includes the zero values associated with the ‘non-visitors’ and also includes trips were there may have been a number of people in the group.  It is not an estimate of an individual trip value. It is reasonable to assume that in the majority of cases, the information provided by respondents in the survey about the number of people included in a trip to the forests related to their immediate household. ","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[16,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Recreation","WTP per trip for the use of the most visited recreational facilities in the Mount Lofty Range State Forests, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per household per trip for use of most visited recreational facilities","Not specified","Recreation activity","$89.72 per household per trip",103.10806236080177,2012,"AUD",89.72,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O19,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost, education, income","Mean",71.66,118.59,"n/a","n/a","n/a","most visited places in State Forests, Mount Lofty Ranges, South Australia","Australia","Adelaide area (82%) and South Australia (18%)",2012,49,48,"n/a","n/a","Travel cost","Negative binomial travel cost model",802,802,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","These estimates are for the value of a recreational trip across the whole sample.  It includes the zero values associated with the ‘non-visitors’ and also includes trips were there may have been a number of people in the group.  It is not an estimate of an individual trip value. It is reasonable to assume that in the majority of cases, the information provided by respondents in the survey about the number of people included in a trip to the forests related to their immediate household. ","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[17,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Recreation","WTP per trip for the use of recreational facilities in the Mid North State Forests, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per household per trip for use of recreational facilities","Not specified","Recreation activity","$89.22 per household per trip",102.53345211581289,2012,"AUD",89.22,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O20,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost","Mean",73.709999999999994,114.93,"n/a","n/a","n/a","State Forests, Mid North, South Australia","Australia","Adelaide area (82%) and South Australia (18%)",2012,49,48,"n/a","n/a","Travel cost","Negative binomial travel cost model",795,795,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","These estimates are for the value of a recreational trip across the whole sample.  It includes the zero values associated with the ‘non-visitors’ and also includes trips were there may have been a number of people in the group.  It is not an estimate of an individual trip value. It is reasonable to assume that in the majority of cases, the information provided by respondents in the survey about the number of people included in a trip to the forests related to their immediate household. ","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[18,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Recreation","WTP per year for the use of recreational facilities in the Mid North State Forests, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per household per year (0.27 trips per year) for use of recreational facilities","Not specified","Recreation activity","$24.09 per household per year",27.684721603563471,2012,"AUD",24.09,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O21,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost","Mean",19.899999999999999,31.03,"n/a","n/a","n/a","State Forests, Mid North, South Australia","Australia","Adelaide area (82%) and South Australia (18%)",2012,49,48,"n/a","n/a","Travel cost","Negative binomial travel cost model",795,795,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","These estimates are for the value of a recreational trip across the whole sample.  It includes the zero values associated with the ‘non-visitors’ and also includes trips were there may have been a number of people in the group.  It is not an estimate of an individual trip value. It is reasonable to assume that in the majority of cases, the information provided by respondents in the survey about the number of people included in a trip to the forests related to their immediate household. ","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[19,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Recreation","WTP per km improvement of tracks and trails in the Mount Lofty Range State Forests, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per kilometre of track per household per year (max. 5 years)","Not specified","Recreation activity","$0.71 per kilometre per household per year",0.81594654788418686,2012,"AUD",0.71,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O22,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost, multi use tiral, overnight sites, day sites, time spent in forests, gender, historical site","Mean",0.54,0.86,"n/a","n/a","n/a","State Forests, Mount Lofty Ranges, South Australia","Australia","Adelaide area (82%) and South Australia (18%)",2012,49,48,"n/a","n/a","Choice modeling","Random parameter mixed logit","n/a",2316,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","These values are very consistent across the two forest areas (Mount Lofty and Mid North), suggesting that the same value estimate could be applied to any forest area in South Australia.","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[20,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Recreation","WTP for the improvement in overnight recreation facilities in the Mount Lofty Range State Forests, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per overnight-visit site per household per year (max. 5 years)","Not specified","Recreation activity","$2.14 per site per household per year",2.4593318485523383,2012,"AUD",2.14,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O23,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost, multi use tiral, overnight sites, day sites, time spent in forests, gender, historical site","Mean",1.57,2.68,"n/a","n/a","n/a","State Forests, Mount Lofty Ranges, South Australia","Australia","Adelaide area (82%) and South Australia (18%)",2012,49,48,"n/a","n/a","Choice modeling","Random parameter mixed logit","n/a",2316,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","The value for picnic sites is significantly higher (at the 5% level) than the value for overnight sites.  ","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[21,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Recreation","WTP for the improvement in day (picnic) recreation facilities in the Mount Lofty Range State Forests, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per day-vist site per household per year (max. 5 years)","Not specified","Recreation activity","$3.71 per site per household per year",4.2636080178173712,2012,"AUD",3.71,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O24,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost, multi use tiral, overnight sites, day sites, time spent in forests, gender, historical site","Mean",2.46,4.9400000000000004,"n/a","n/a","n/a","State Forests, Mount Lofty Ranges, South Australia","Australia","Adelaide area (82%) and South Australia (18%)",2012,49,48,"n/a","n/a","Choice modeling","Random parameter mixed logit","n/a",2316,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","The value for picnic sites is significantly higher (at the 5% level) than the value for overnight sites.  ","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[22,"Windle, et al. 2012","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Cultural heritage","WTP for the improvement in historical buildings/ruins in the Mount Lofty Range State Forests, South Australia","No",2,2,"Useful for BT in Australia; be aware of generalised context - not NH specific","WTP per day-visit site per household per year (max. 5 years)","Not specified","Heritage related recreation","$5.89 per site per household per year",6.7689086859688183,2012,"AUD",5.89,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O25,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Cost, multi use tiral, overnight sites, day sites, time spent in forests, gender, historical site","Mean",4.59,7.19,"n/a","n/a","n/a","State Forests, Mount Lofty Ranges, South Australia","Australia","Adelaide area (82%) and South Australia (18%)",2012,49,48,"n/a","n/a","Choice modeling","Random parameter mixed logit","n/a",2316,"Windle, J., Rolfe, J., Tucker, G.",2012,"No","n/a","These values are very consistent across the two forest areas (Mount Lofty and Mid North), suggesting that the same value estimate could be applied to any forest area in South Australia.","Windle, J., Rolfe, J., Tucker, G. 2012. Quantifying the non-timber values of South Australia's northern forest reserves. Environmental Economics Programme Center for Environmental Management. CQUniversity Australia."]
[23,"Bach and Burton 2017","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Animal welfare","Visitor WTP to avoid a decrease in dolphin welfare at Monkey Mia, Western Australia, through interaction with humans ","No",2,3,"Limited application; not NH specific, and be aware of/adjust for population differences","WTP per person per visit for a 30% decrease in dolphin calf mortality","Human activity","Animal deaths","$35.27 per person per visit",40.533006681514472,2012,"AUD",35.270000000000003,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O26,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.1492204899777281},"Feeding location, other activities, animal welfare, price","Mean","n/a","n/a",11.33,"n/a",2E-3,"Monkey Mia, Western Australia","Australia","Visitors to Monkey Mia, Western Australia - including international tourists",2012,"n/a","n/a","n/a","n/a","Choice modeling","Conditional fixed effects logistic regression",264,944,"Bach, L., Burton, M.",2017,"Yes","Journal of Sustainable Tourism","n/a"," Bach, L., Burton, M. 2017. Proximity and animal welfare in the\ncontext of tourist interactions with habituated dolphins, Journal of Sustainable Tourism, 25:2,\n181-197, DOI: 10.1080/09669582.2016.1195835\n"]
[24,"Athukorala et al. 2016 ","Fire","Safety","WTP (throuh property pricing) to avoid the risk of wildfire","Yes",2,1,"Useful for BT in Australia; in NH context; and be aware of/adjust for population differences","Reduction in price per property sales transaction for properties in wildfire affected areas","Fire","Perceived safety","$22,606 per property (and see additional notes column)",24067.460797799173,2016,"AUD",22606,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O27,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.0646492434662997},"Various house characteristics, distance to school and park, occurance of wildfire, distance to wildfire","Mean","n/a","n/a","n/a","n/a","n/a","Rockhampton, Queensland","Australia","Sold properties, Frenchville","2006-2013","n/a","n/a","n/a","n/a","Hedonic pricing","Log linear hedonic model","n/a",735,"Athukorala, W. Martin, Neelawla, P., Rajapaksa, D., Wilson, C.",2016,"Yes","The Singapore Economic Review","The wildfire adjacent to the surburb Frenchville occurred in 2009. Wildfires decreased the average house values by 6.1% in 2011 when compared to the average house prices in 2009. This percentage reduction could be used to adjust housing prices for another area, rather than the WTP estimate itself.","Athukorala, W. Martin, Neelawla, P., Rajapaksa, D., Wilson, C. 2016. The impact of wildfires and floods on property values: a before and after analysis. The Singapore Economic Review. 61."]
[25,"Rajapaksa et al. 2016 ","Flood","Safety","WTP (throuh property pricing) to avoid the risk of flood for low income suburbs","Yes",2,1,"Useful for BT in Australia; in NH context; and be aware of/adjust for population differences","Reduction in price per property sales transaction for properties in flood affected areas","Flood","Perceived safety","n/a see additional notes column","n/a",2016,"AUD","n/a",{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O28,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.0646492434662997},"Various house characteristics, neighbourhood characteristics, located in or out of flood-affected zones, distance to nearest river and elevation","Mean","n/a","n/a","n/a","n/a","n/a","Brisbane, Queensland","Australia","Properties in low income suburbs","2006-2013","n/a","n/a","n/a","n/a","Hedonic pricing","n/a","n/a",1399,"Rajapaksa, D., Wilson, C., Managi, S., Hoang, V., Lee, B",2016,"Yes","Economics Record","Property prices were compared before and after the Brisbane flood in 2011, based on whether they were located in or out of a flood affected area (as determined by flood-zone maps). The flood decreased the average house values by 6% in low income areas. This percentage reduction could be used to adjust housing prices for other areas.","Rajapaksa, D., Wilson, C., Managi, S., Hoang, V., Lee, B. 2016. Flood risk information, actual floods and property values: a quasi-experimental analysis. Economic Record. 92: 52-67."]
[26,"Rajapaksa et al. 2016 ","Flood","Safety","WTP (throuh property pricing) to avoid the risk of flood for high income suburbs","Yes",2,1,"Useful for BT in Australia; in NH context; and be aware of/adjust for population differences","Reduction in price per property sales transaction for properties in flood affected areas","Flood","Perceived safety","n/a see additional notes column","n/a",2016,"AUD","n/a",{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O29,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.0646492434662997},"Various house characteristics, neighbourhood characteristics, located in or out of flood-affected zones, distance to nearest river and elevation","Mean","n/a","n/a","n/a","n/a","n/a","Brisbane, Queensland","Australia","Properties in high income suburbs","2006-2013","n/a","n/a","n/a","n/a","Hedonic pricing","n/a","n/a",946,"Rajapaksa, D., Wilson, C., Managi, S., Hoang, V., Lee, B",2016,"Yes","Economic Record","Property prices were compared before and after the Brisbane flood in 2011, based on whether they were located in or out of a flood affected area (as determined by flood-zone maps). The flood decreased the average house values by 7% in high income areas. This percentage reduction could be used to adjust housing prices for other areas.","Rajapaksa, D., Wilson, C., Managi, S., Hoang, V., Lee, B. 2016. Flood risk information, actual floods and property values: a quasi-experimental analysis. Economic Record. 92: 52-67."]
[27,"O'Donnell et al. 2014","Fire, Flood, Storm, Earthquake, Tsunami","Social disruption","WTP to avoid home evacuations due to wildfire","Yes",2,2,"Useful for NH BT, especially wildfire context; be aware of/adjust for population differences","WTP to avoid one additional home evacuation per year, for the next 10 years","Fire","Displaced people","$0.24 per household per year",{"$f":"Q30*R30","v":0.37301204819277106},2009,"USD",0.3,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O30,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.2433734939759036},"Age, income, education, primary vs secondary residence, new resident to area, lot size","Part-worth",0.1,0.39,"n/a","n/a","n/a","Flathead County, USA","USA","Flathead County residents","2008-2009","n/a; 35% at least 50 yrs old","n/a","n/a; 23% at least $75000 income","USD/year","Choice modeling","Multinomial logit model",413,2172,"O'Donnell, D.T., Venn, T.J., Calkin, D.E.",2014,"Yes","Economic Analysis and Policy","Note that the sample statistics stated are for the Flathead County population, not the collected sample (these are reported in the article) because the WTP estimate has been adjusted to represent an average household for the Flathead County population","O'Donnell, D.T., Venn, T.J., Calkin, D.E. 2014. Are wildfire management resources in the United States efficiently allocated to protect resources at risk? A case study from Montana. Economic Analysis and Policy. 44: 318-332."]
[28,"McCartney 2006","Fire, Flood, Storm, Earthquake, Tsunami","Amenity","WTP to preserve the existing view of coastal dunes in the Jurien Bay Marine Park, Western Australia, by moving construction of a wind farm to a remote inland site.","No",2,2,"Useful for BT in Australia, be aware of generalised context - not NH specific","WTP to preserve coastal dune amenity in its current natural state, one-off payment* (see additional notes)","Construction of a wind farm","Scenic amenity","$36.16 per person, one-off payment",50.595673395601082,2005,"AUD",36.159999999999997,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O31,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3992166315155168},"n/a","Net WTP (see additional notes)",24.83,47.5,"n/a","n/a","n/a","Jurien Bay Marine Park, Western Australia","Australia","26% local residents (individuals living within 100km of marine park); 74% non-local visitors to marine park (majority West Australians)",2005,40,0.54,40000,"AUD/year","Contingent valuation","Restricted spike model",96,96,"McCartney, A.",2006,"Yes","Journal of Agricultural Economics","The study considers positive and negative preferences for constructing a wind farm in the coastal dunes at Jurien Bay. Respondents are asked how much they are willing to pay to have the windfarm in the dunes if they prefer it to be there, or how much they would pay to move the windfarm elsewhere if they prefer to maintain the current state of the dunes. The net WTP was calculated allowing for the positive and negative preferences for the windfarm to be located in either place. The net WTP indicates that preserving the current amenity of the dunes is more valuable. The payment was specified as a total sum collected over a 12 month period via an electricity bill, which can be interpreted as a one-off payment.","McCartney, A. 2006. The Social Value of Seascapes in the Jurien Bay Marine Park: An assessment of Positive and Negative Preferences for Change."]
[29,"Tapsuwan et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami","Amenity","WTP (through property pricing) for proximity to urban wetlands in Perth, Western Australia","No",2,2,"Useful for BT in Australia, be aware of generalised context - not NH specific","Change in property price for reducing distance to wetland by 1 metre","Extraction of groundwater","Scenic amenity","$42.40 per property per metre",57.289962176316543,2006,"AUD",42.4,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O32,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3511783532150128},"suburb, land size, numbers of types of rooms in house, age of house, roof type, neighbourhood attributes, wetland attributes","Mean","n/a","n/a","n/a","n/a","n/a","Northern metropolitan Perth, Western Australia","Australia","Properties in northern metropolitan Perth","2005-2006","n/a","n/a","n/a","n/a","Hedonic pricing","step-wise regression","n/a",1741,"Tapsun, S., Ingram, G., Burton, M., Brennan, D.",2009,"Yes","The Australian Journal of Agricultural and Resource Economics","Calculations are based on the average distance between the properties sampled and nearby wetlands, which is 943m. This translates to approximately $474 per 1% reduction in wetland distance (equivalent of 9.4m).","Tapsun, S., Ingram, G., Burton, M., Brennan, D. 2009. Capitalized amenity value of urban wetlands: a hedonic property price approach to urban wetlands in Perth, Western Australia. The Australian Journal of Agricultural and Resource Economics, 53: 527-545."]
[30,"Tapsuwan et al. 2009","Fire, Flood, Storm, Earthquake, Tsunami","Amenity","WTP (through property pricing) for proximity to urban wetlands in Perth, Western Australia","No",2,2,"Useful for BT in Australia, be aware of generalised context - not NH specific","Change in property price for the existence of 1 additional wetland in close proximity","Extraction of groundwater","Scenic amenity","$6976 per property per additional wetland",9425.8201920279298,2006,"AUD",6976,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O33,'CPI adjustment'!$AF$18:$AF$41,0))","v":1.3511783532150128},"suburb, land size, numbers of types of rooms in house, age of house, roof type, neighbourhood attributes, wetland attributes","Mean","n/a","n/a","n/a","n/a","n/a","Northern metropolitan Perth, Western Australia","Australia","Properties in northern metropolitan Perth","2005-2006","n/a","n/a","n/a","n/a","Hedonic pricing","step-wise regression","n/a",1741,"Tapsun, S., Ingram, G., Burton, M., Brennan, D.",2009,"Yes","The Australian Journal of Agricultural and Resource Economics","Close proximity to a wetland is defined as within 1.5km","Tapsun, S., Ingram, G., Burton, M., Brennan, D. 2009. Capitalized amenity value of urban wetlands: a hedonic property price approach to urban wetlands in Perth, Western Australia. The Australian Journal of Agricultural and Resource Economics, 53: 527-545."]
[31,"Rogers et al. 2021","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Cultural heritage","WTP of Perth households to avoid Heritage Buildings being destroyed in the town of York, Western Australia, as a result of earthquake","Yes",1,1,"Useful for NH BT; especially earthquakes in Australian context. Peer review not yet completed, but study reports key information for BT. ","WTP per household per heritage building saved","Earthquake","European heritage significance","$194.73 per household per heritage building saved",194.73,2020,"AUD",194.73,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O34,'CPI adjustment'!$AF$18:$AF$41,0))","v":1},"n/a","Mean","n/a","n/a",11.78,"n/a","n/a","York, Western Australia","Australia","Perth Metropolitan Region",2020,"47 (median age)",49,"$1200-$1700 per week (median income)","AUD ","Choice modeling","mixed logit model",854,4270,"Rogers, A.A., Rollins, C., Florec, V.",2021,"No","n/a","Respondents were informed that there is a 1 in 50 chance of a large earthquake in York in the next 50 years, and a 1 in 10 chance of a moderate earthquake in the next 50 years. Heritage buildings defined as those listed on the Western Australian State Register of Heritage Places. Attribute level range as follows. Status quo in the event of an earthquake: 24 out of 30 buildings destroyed (large earthquake); 6 buildings destroyed (moderate earthquake). Maximum improvement considered through retrofitting program: 4 buildings destroyed (large earthquake); 1 building destroyed (moderate earthquake). WTP is converted to a per case estimate, with expected value of the attribute calculated as: p(moderate earthquake) x moderate damage  +  p(large earthquake) x large damage","Rogers, A.A., Rollins, C., Florec, V. 2021. Willingness to pay to avoid the non-market impacts of earthquakes in York, Western Australia. Bushfire and Natural Hazards CRC Report 667, The University of Western Australia, Crawley. "]
[32,"Rogers et al. 2021","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Cultural heritage","WTP of York households to avoid Heritage Buildings being destroyed in the town of York, Western Australia, as a result of earthquake","Yes",1,1,"Useful for NH BT; especially earthquakes in Australian context. Peer review not yet completed, but study reports key information for BT. ","WTP per household per heritage building saved","Earthquake","European heritage significance","$297.25 per household per heritage building saved",297.25,2020,"AUD",297.25,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O35,'CPI adjustment'!$AF$18:$AF$41,0))","v":1},"n/a","Mean","n/a","n/a",84.38,"n/a","n/a","York, Western Australia","Australia","Shire of York and neighbouring shires ",2020,"51 (median age)",20,"$800-$1200 per week (median income)","AUD ","Choice modeling","mixed logit model",40,120,"Rogers, A.A., Rollins, C., Florec, V.",2021,"No","n/a","Respondents were informed that there is a 1 in 50 chance of a large earthquake in York in the next 50 years, and a 1 in 10 chance of a moderate earthquake in the next 50 years. Heritage buildings defined as those listed on the Western Australian State Register of Heritage Places. Attribute level range as follows. Status quo in the event of an earthquake: 24 out of 30 buildings destroyed (large earthquake); 6 buildings destroyed (moderate earthquake). Maximum improvement considered through retrofitting program: 4 buildings destroyed (large earthquake); 1 building destroyed (moderate earthquake). WTP is converted to a per case estimate, with expected value of the attribute calculated as: p(moderate earthquake) x moderate damage  +  p(large earthquake) x large damage","Rogers, A.A., Rollins, C., Florec, V. 2021. Willingness to pay to avoid the non-market impacts of earthquakes in York, Western Australia. Bushfire and Natural Hazards CRC Report 667, The University of Western Australia, Crawley. "]
[33,"Rogers et al. 2021","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","WTP of Perth households to reduce number of days of disruption to utilities and services experienced by the local community and visitors in York, Western Australia, as a result of earthquake. Disruption refers to outages of public utilities and services including power lines, pipes and other important infrastructure.","Yes",1,1,"Useful for NH BT; especially earthquakes in Australian context. Peer review not yet completed, but study reports key information for BT. ","WTP per household per day of disruption avoided","Earthquake","Basic services","$65.43 per household per day of avoided disruption",{"$f":"Q36*R36","v":65.430000000000007},2020,"AUD",65.430000000000007,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O36,'CPI adjustment'!$AF$18:$AF$41,0))","v":1},"n/a","Mean","n/a","n/a",6.95,"n/a","n/a","York, Western Australia","Australia","Perth Metropolitan Region",2020,"47 (median age)",49,"$1200-$1700 per week (median income)","AUD ","Choice modeling","mixed logit model",854,4270,"Rogers, A.A., Rollins, C., Florec, V.",2021,"No","n/a","Respondents were informed that there is a 1 in 50 chance of a large earthquake in York in the next 50 years, and a 1 in 10 chance of a moderate earthquake in the next 50 years. Attribute level range as follows. Status quo in the event of an earthquake: 4 week disruption (large earthquake); 1 week disruption (moderate earthquake). Maximum improvement considered through infrastructure upgrades: 3-4 days disruption (large earthquake); <1 day disruption (moderate earthquake). WTP is converted to a per case estimate, with expected value of the attribute calculated as: p(moderate earthquake) x moderate damage  +  p(large earthquake) x large damage","Rogers, A.A., Rollins, C., Florec, V. 2021. Willingness to pay to avoid the non-market impacts of earthquakes in York, Western Australia. Bushfire and Natural Hazards CRC Report 667, The University of Western Australia, Crawley. "]
[34,"Rogers et al. 2021","Fire, Flood, Storm, Earthquake, Tsunami, Heatwave","Social disruption","WTP of York households to reduce number of days of disruption to utilities and services experienced by the local community and visitors in York, Western Australia, as a result of earthquake. Disruption refers to outages of public utilities and services including power lines, pipes and other important infrastructure.","Yes",1,1,"Useful for NH BT; especially earthquakes in Australian context. Peer review not yet completed, but study reports key information for BT. ","WTP per household per day of disruption avoided","Earthquake","Basic services","$133.10 per household per day of avoided disruption",133.1,2020,"AUD",133.1,{"$f":"INDEX('CPI adjustment'!$AG$18:$AG$41,MATCH(O37,'CPI adjustment'!$AF$18:$AF$41,0))","v":1},"n/a","Mean","n/a","n/a",59.84,"n/a","n/a","York, Western Australia","Australia","Shire of York and neighbouring shires ",2020,"51 (median age)",20,"$800-$1200 per week (median income)","AUD ","Choice modeling","mixed logit model",40,120,"Rogers, A.A., Rollins, C., Florec, V.",2021,"No","n/a","Respondents were informed that there is a 1 in 50 chance of a large earthquake in York in the next 50 years, and a 1 in 10 chance of a moderate earthquake in the next 50 years. Attribute level range as follows. Status quo in the event of an earthquake: 4 week disruption (large earthquake); 1 week disruption (moderate earthquake). Maximum improvement considered through infrastructure upgrades: 3-4 days disruption (large earthquake); <1 day disruption (moderate earthquake). WTP is converted to a per case estimate, with expected value of the attribute calculated as: p(moderate earthquake) x moderate damage  +  p(large earthquake) x large damage.","Rogers, A.A., Rollins, C., Florec, V. 2021. Willingness to pay to avoid the non-market impacts of earthquakes in York, Western Australia. Bushfire and Natural Hazards CRC Report 667, The University of Western Australia, Crawley. "]

{"sheet":"CPI adjustment","index":5,"n_rows":107,"n_cols":33,"rows_kept":107,"cut":false,"hidden":false,"merged":[]}
["Source","https://www.rba.gov.au/calculator/annualDecimal.html"]
[]
[null,null,"Calculation of present values for WTP",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"If you need to assess a restrospective policy or decision, you can do so using the following formula:"]
[null,null,"Column Q in the value tab sheets provides the WTP estimate in Australian dollars for the year the study was conducted",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CPI ratio = index value for policy year from column N / index value for study year from column N"]
[null,null,"  (calculated using historical exchange rates from the RBA, with the rate taken from 1st July for that year or closest possible date). ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"E.g. If you need a ratio for a policy decision in 2014, for a study estimate in the database from 2005:"]
[null,null,"Column R in the value tab sheets provides the CPI ratio, as calculated in column U of this sheet.",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"CPI ratio = 106.075/82.975 = 1.278"]
[null,null,"Column N in the value tab sheets contains present values in 2017 AUD (multiplication of the estimate in columns Q and R of the value tab sheets).",null,null,null,null,null,null,null,null,null,null,null,null,null,null,"You would then multiply the study estimate in 2005 AUD (from column Q in the value tab sheet) by 1.278 to "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"give you a 'present value' in 2014 AUD."]
["G1 CONSUMER PRICE INFLATION",null,null,null,"Source","ABS / RBA"]
["Title","Consumer price index",null,null,"Publication date","2017-10-26",null,null,null,null,null,null,"Average index by year:",null,null,"For conversion to 2016 AUD:",null,null,null,"For conversion to 2017 AUD:",null,null,null,"For conversion to 2018 AUD:",null,null,null,"For conversion to 2019 AUD:",null,null,null,"For conversion to 2020 AUD:"]
["Description","Consumer price index; All groups",null,null,"Series ID","GCPIAG"]
["Frequency","Quarterly",null,null,"1997-03-31",67.099999999999994,null,1997,{"$f":"AVERAGE(F12:F15)","v":66.849999999999994}]
["Type","Original",null,null,"1997-06-30",66.900000000000006]
["Units","Index, 2011/12=100",null,null,"1997-09-30",66.599999999999994]
[null,null,null,null,"1997-12-31",66.8]
[null,null,null,null,"1998-03-31",67,null,1998,{"$f":"AVERAGE(F16:F19)","v":67.424999999999997}]
[null,null,null,null,"1998-06-30",67.400000000000006]
[null,null,null,null,"1998-09-30",67.5,null,null,null,null,null,null,1997,{"$f":"I12","v":66.849999999999994},null,1997,{"$f":"$N$37/$N18","v":1.6312640239341811},null,null,1997,{"$f":"$N$38/$N18","v":1.6630516080777864},null,null,1997,{"$f":"$N$39/$N18","v":1.6948391922213915},null,null,1997,{"$f":"$N$40/$N18","v":1.7221391174270755},null,null,1997,{"$f":"$N$41/$N18","v":1.736724008975318}]
[null,null,null,null,"1998-12-31",67.8,null,null,null,null,null,null,1998,{"$f":"I16","v":67.424999999999997},null,1998,{"$f":"$N$37/$N19","v":1.617352614015573},null,null,1998,{"$f":"$N$38/$N19","v":1.6488691138301819},null,null,1998,{"$f":"$N$39/$N19","v":1.6803856136447908},null,null,1998,{"$f":"$N$40/$N19","v":1.707452725250278},null,null,1998,{"$f":"$N$41/$N19","v":1.7219132369299222}]
[null,null,null,null,"1999-03-31",67.8,null,1999,{"$f":"AVERAGE(F20:F23)","v":68.424999999999983},null,null,null,1999,68.424999999999983,null,1999,{"$f":"$N$37/$N20","v":1.5937157471684329},null,null,1999,1.6247716477895511,null,null,1999,1.6558275484106693,null,null,1999,1.6824990865911584,null,null,1999,1.6967482645232008]
[null,null,null,null,"1999-06-30",68.099999999999994,null,null,null,null,null,null,2000,71.474999999999994,null,2000,{"$f":"$N$37/$N21","v":1.5257082896117524},null,null,2000,1.5554389646729629,null,null,2000,1.585169639734173,null,null,2000,1.6107030430220357,null,null,2000,1.6243441762854145]
[null,null,null,null,"1999-09-30",68.7,null,null,null,null,null,null,2001,74.625,null,2001,{"$f":"$N$37/$N22","v":1.4613065326633166},null,null,2001,1.489782244556114,null,null,2001,1.5182579564489114,null,null,2001,1.5427135678391959,null,null,2001,1.5557788944723618]
[null,null,null,null,"1999-12-31",69.099999999999994,null,null,null,null,null,null,2002,76.849999999999994,null,2002,{"$f":"$N$37/$N23","v":1.4189980481457385},null,null,2002,1.4466493168510086,null,null,2002,1.4743005855562787,null,null,2002,1.4980481457384514,null,null,2002,1.5107351984385167]
[null,null,null,null,"2000-03-31",69.7,null,{"$f":"H20+1","v":2000},{"$f":"AVERAGE(F24:F27)","v":71.474999999999994},null,null,null,2003,78.949999999999989,null,2003,1.3812539582013934,null,null,2003,1.4081697276757446,null,null,2003,{"$f":"$N$39/$N24","v":1.4350854971500953},null,null,2003,1.4582013932868905,null,null,2003,1.4705509816339457]
[null,null,null,null,"2000-06-30",70.2,null,null,null,null,null,null,2004,80.800000000000011,null,2004,1.3496287128712869,null,null,2004,1.3759282178217822,null,null,2004,1.4022277227722773,null,null,2004,1.4248143564356432,null,null,2004,1.4368811881188117]
[null,null,null,null,"2000-09-30",72.900000000000006,null,null,null,null,null,null,2005,82.974999999999994,null,2005,1.3142512805061766,null,null,2005,1.3398614040373609,null,null,2005,1.365471527568545,null,null,2005,1.3874661042482674,null,null,2005,1.3992166315155168]
[null,null,null,null,"2000-12-31",73.099999999999994,null,null,null,null,null,null,2006,85.925000000000011,null,2006,1.2691300552807678,null,null,2006,1.2938609252254873,null,null,2006,1.3185917951702066,null,null,2006,1.3398312481815533,null,null,2006,1.3511783532150128]
[null,null,null,null,"2001-03-31",73.900000000000006,null,{"$f":"H24+1","v":2001},{"$f":"AVERAGE(F28:F31)","v":74.625},null,null,null,2007,87.925000000000011,null,2007,1.2402615865794711,null,null,2007,1.264429911856696,null,null,2007,1.2885982371339209,null,null,2007,1.3093545635484785,null,null,2007,1.3204435598521465]
[null,null,null,null,"2001-06-30",74.5,null,null,null,null,null,null,2008,91.75,null,2008,1.1885558583106266,null,null,2008,1.2117166212534061,null,null,2008,1.2348773841961853,null,null,2008,1.2547683923705721,null,null,2008,1.2653950953678474]
[null,null,null,null,"2001-09-30",74.7,null,null,null,null,null,null,2009,93.375,null,2009,1.1678714859437751,null,null,2009,1.1906291834002678,null,null,2009,1.2133868808567605,null,null,2009,1.2329317269076303,null,null,2009,1.2433734939759036]
[null,null,null,null,"2001-12-31",75.400000000000006,null,null,null,null,null,null,2010,96.1,null,2010,1.1347554630593133,null,null,2010,1.1568678459937567,null,null,2010,1.1789802289281999,null,null,2010,1.1979708636836628,null,null,2010,1.2081165452653486]
[null,null,null,null,"2002-03-31",76.099999999999994,null,{"$f":"H28+1","v":2002},{"$f":"AVERAGE(F32:F35)","v":76.849999999999994},null,null,null,2011,99.275000000000006,null,2011,1.0984638630067991,null,null,2011,1.1198690506169731,null,null,2011,1.1412742382271468,null,null,2011,1.159657516998237,null,null,2011,1.1694787207252579]
[null,null,null,null,"2002-06-30",76.599999999999994,null,null,null,null,null,null,2012,101.02500000000001,null,2012,1.0794357832219748,null,null,2012,1.1004701806483543,null,null,2012,1.1215045780747339,null,null,2012,1.1395694135115069,null,null,2012,1.1492204899777281]
[null,null,null,null,"2002-09-30",77.099999999999994,null,null,null,null,null,null,2013,103.5,null,2013,1.0536231884057972,null,null,2013,1.0741545893719808,null,null,2013,1.0946859903381643,null,null,2013,1.11231884057971,null,null,2013,1.1217391304347826]
[null,null,null,null,"2002-12-31",77.599999999999994,null,null,null,null,null,null,2014,106.07500000000002,null,2014,1.0280461937308507,null,null,2014,1.0480791892528871,null,null,2014,{"$f":"$N$39/$N35","v":1.0681121847749233},null,null,2014,1.0853169926938484,null,null,2014,1.0945086024039592]
[null,null,null,null,"2003-03-31",78.599999999999994,null,{"$f":"H32+1","v":2003},{"$f":"AVERAGE(F36:F39)","v":78.949999999999989},null,null,null,2015,107.67500000000001,null,2015,1.0127699094497329,null,null,2015,1.0325052240538657,null,null,2015,1.0522405386579985,null,null,2015,1.0691896912003713,null,null,2015,1.078244717901091]
[null,null,null,null,"2003-06-30",78.599999999999994,null,null,null,null,null,null,2016,109.05,null,2016,1,null,null,2016,1.0194864740944523,null,null,2016,1.0389729481889043,null,null,2016,1.0557083906464924,null,null,2016,1.0646492434662997]
[null,null,null,null,"2003-09-30",79.099999999999994,null,null,null,null,null,null,2017,{"$f":"I92","v":111.17500000000001},null,null,null,null,null,2017,1,null,null,2017,{"$f":"$N$39/$N38","v":1.0191140094445694},null,null,2017,1.035529570496964,null,null,2017,1.0442995277715312]
[null,null,null,null,"2003-12-31",79.5,null,null,null,null,null,null,2018,{"$f":"I96","v":113.30000000000001},null,null,null,null,null,null,null,null,null,2018,1,null,null,2018,1.0161076787290377,null,null,2018,1.0247131509267431]
[null,null,null,null,"2004-03-31",80.2,null,{"$f":"H36+1","v":2004},{"$f":"AVERAGE(F40:F43)","v":80.800000000000011},null,null,null,2019,{"$f":"I100","v":115.12499999999999},null,null,null,null,null,null,null,null,null,null,null,null,null,2019,1,null,null,2019,1.008469055374593]
[null,null,null,null,"2004-06-30",80.599999999999994,null,null,null,null,null,null,2020,{"$f":"I104","v":116.1},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,2020,1]
[null,null,null,null,"2004-09-30",80.900000000000006]
[null,null,null,null,"2004-12-31",81.5]
[null,null,null,null,"2005-03-31",82.1,null,{"$f":"H40+1","v":2005},{"$f":"AVERAGE(F44:F47)","v":82.974999999999994}]
[null,null,null,null,"2005-06-30",82.6]
[null,null,null,null,"2005-09-30",83.4]
[null,null,null,null,"2005-12-31",83.8]
[null,null,null,null,"2006-03-31",84.5,null,{"$f":"H44+1","v":2006},{"$f":"AVERAGE(F48:F51)","v":85.925000000000011}]
[null,null,null,null,"2006-06-30",85.9]
[null,null,null,null,"2006-09-30",86.7]
[null,null,null,null,"2006-12-31",86.6]
[null,null,null,null,"2007-03-31",86.6,null,{"$f":"H48+1","v":2007},{"$f":"AVERAGE(F52:F55)","v":87.925000000000011}]
[null,null,null,null,"2007-06-30",87.7]
[null,null,null,null,"2007-09-30",88.3]
[null,null,null,null,"2007-12-31",89.1]
[null,null,null,null,"2008-03-31",90.3,null,{"$f":"H52+1","v":2008},{"$f":"AVERAGE(F56:F59)","v":91.75}]
[null,null,null,null,"2008-06-30",91.6]
[null,null,null,null,"2008-09-30",92.7]
[null,null,null,null,"2008-12-31",92.4]
[null,null,null,null,"2009-03-31",92.5,null,{"$f":"H56+1","v":2009},{"$f":"AVERAGE(F60:F63)","v":93.375}]
[null,null,null,null,"2009-06-30",92.9]
[null,null,null,null,"2009-09-30",93.8]
[null,null,null,null,"2009-12-31",94.3]
[null,null,null,null,"2010-03-31",95.2,null,{"$f":"H60+1","v":2010},{"$f":"AVERAGE(F64:F67)","v":96.1}]
[null,null,null,null,"2010-06-30",95.8]
[null,null,null,null,"2010-09-30",96.5]
[null,null,null,null,"2010-12-31",96.9]
[null,null,null,null,"2011-03-31",98.3,null,{"$f":"H64+1","v":2011},{"$f":"AVERAGE(F68:F71)","v":99.275000000000006}]
[null,null,null,null,"2011-06-30",99.2]
[null,null,null,null,"2011-09-30",99.8]
[null,null,null,null,"2011-12-31",99.8]
[null,null,null,null,"2012-03-31",99.9,null,{"$f":"H68+1","v":2012},{"$f":"AVERAGE(F72:F75)","v":101.02500000000001}]
[null,null,null,null,"2012-06-30",100.4]
[null,null,null,null,"2012-09-30",101.8]
[null,null,null,null,"2012-12-31",102]
[null,null,null,null,"2013-03-31",102.4,null,{"$f":"H72+1","v":2013},{"$f":"AVERAGE(F76:F79)","v":103.5}]
[null,null,null,null,"2013-06-30",102.8]
[null,null,null,null,"2013-09-30",104]
[null,null,null,null,"2013-12-31",104.8]
[null,null,null,null,"2014-03-31",105.4,null,{"$f":"H76+1","v":2014},{"$f":"AVERAGE(F80:F83)","v":106.07500000000002}]
[null,null,null,null,"2014-06-30",105.9]
[null,null,null,null,"2014-09-30",106.4]
[null,null,null,null,"2014-12-31",106.6]
[null,null,null,null,"2015-03-31",106.8,null,{"$f":"H80+1","v":2015},{"$f":"AVERAGE(F84:F87)","v":107.67500000000001}]
[null,null,null,null,"2015-06-30",107.5]
[null,null,null,null,"2015-09-30",108]
[null,null,null,null,"2015-12-31",108.4]
[null,null,null,null,"2016-03-31",108.2,null,{"$f":"H84+1","v":2016},{"$f":"AVERAGE(F88:F91)","v":109.05000000000001}]
[null,null,null,null,"2016-06-30",108.6]
[null,null,null,null,"2016-09-30",109.4]
[null,null,null,null,"2016-12-31",110]
[null,null,null,null,"2017-03-31",110.5,null,{"$f":"H88+1","v":2017},{"$f":"AVERAGE(F92:F95)","v":111.17500000000001}]
[null,null,null,null,"2017-06-30",110.7]
[null,null,null,null,"2017-09-30",111.4]
[null,null,null,null,"2017-12-31",112.1]
[null,null,null,null,"2018-03-31",112.6,null,2018,{"$f":"AVERAGE(F96:F99)","v":113.30000000000001}]
[null,null,null,null,"2018-06-30",113]
[null,null,null,null,"2018-09-30",113.5]
[null,null,null,null,"2018-12-31",114.1]
[null,null,null,null,"2019-03-31",114.1,null,2019,{"$f":"AVERAGE(F100:F103)","v":115.12499999999999}]
[null,null,null,null,"2019-06-30",114.8]
[null,null,null,null,"2019-09-30",115.4]
[null,null,null,null,"2019-12-31",116.2]
[null,null,null,null,"2020-03-31",116.6,null,2020,{"$f":"AVERAGE(F104:F107)","v":116.1}]
[null,null,null,null,"2020-06-30",114.4]
[null,null,null,null,"2020-09-30",116.2]
[null,null,null,null,"2020-12-31",117.2]

{"sheet":"Notes","index":6,"n_rows":33,"n_cols":3,"rows_kept":33,"cut":false,"hidden":false,"merged":[]}
[]
[]
[]
[]
[null,"Acronyms:"]
[null,"WTP","willingness to pay"]
[null,"BT","benefit transfer"]
[null,"NH","natural hazard"]
[]
[null,"Calculation of present value WTP:"]
[null,"Refer to CPI adjustment worksheet"]
[]
[null,"Criterion for determining study quality and BT applicability ratings:"]
[]
[null,"Study quality ratings (column G)"]
[]
[null,"Consideration is given as to whether the study was:"]
[null,"-          Peer reviewed"]
[null,"-          Used best practice methodology"]
[null,"-          Adequately reported statistical significance (including confidence intervals, standard errors, etc.)"]
[null,"-          Provided a transparent overview of methods used (including reporting of sample statistics and clear definition of the case study and the marginal values being measured)."]
[null,"A collective assessment was made across these factors and ratings assigned (1=high quality; 2=average quality; 3=poor quality)"]
[]
[null,"Benefit transfer applicability rating (column H)"]
[]
[null,"Consideration was given to the following:"]
[null,"-          The study quality rating (the higher the quality of the study, the more confidence we can have in the estimates)."]
[null,"-          The suitability of the study for benefit transfer in general (high quality studies with a generic focus are most suitable; some studies might be high quality, but designed for some very specific investigation that makes them difficult to transfer to other contexts)."]
[null,"-          Whether the study was Australian."]
[null,"-          Whether the study was conducted in a natural hazard decision context."]
[null,"·         Studies of high quality, high suitability for BT, conducted in a natural hazard context on an Australian sample were assigned a rating of 1=high applicability."]
[null,"·         Studies that were at least average quality and suitable for BT, and were conducted either in a natural hazard context or were Australian were assigned a rating of 2=average applicability."]
[null,"·         Studies that were poor quality, or were not suitable for benefit transfer in general, or were not conducted in a natural hazard context and were not Australian were assigned a rating of 3=poor applicability."]

{"sheet":"Version record","index":7,"n_rows":33,"n_cols":4,"rows_kept":33,"cut":false,"hidden":false,"merged":[]}
[]
[null,"This sheet contains a record of variations made between version releases"]
[]
[null,"Version 2.0 release:"]
[null,"1.","2019 CPI data added."]
[null,"2.","Current value estimates in value tab sheets updated to 2019AUD (in Version 1.0, 2017AUD)."]
[null,"3.","Two data entries deleted (in Version 1.0, these were Obervation ID #2 and #3 in the Social Values tab) relating to Indigenous heritage values: "]
[null,null,null,"These reported negative WTP values, and were correctly entered, but required consultation of the 'Additional notes' (Colum AP) for proper interpretation. "]
[null,null,null,"Observation ID #1 still remains from this study."]
[null,null,null,"Readers are referred to the full article for information relating to the removed entries: "]
[null,null,null,"Rolfe, J. and Windle, J. Valuing the Protection of Aboriginal Cultural Heritage Sites. 2003. The Economic Record. 79(2003): 85-95"]
[]
[null,"Version 2.1 release:"]
[null,"1.","Update to Disclaimer/Terms and Conditions on Cover Page"]
[]
[null,"Version 2.2 release:"]
[null,"1.","Updated formatting"]
[]
[null,"Version 2.3 release:"]
[null,"1.","Added sample population to Study Objective (Column E) for Observation IDs 17, 24, 28, 29 in the Environmental Values tab to differentiate same-study entries"]
[null,"2.","Added model approach to Study Objective (Column E) for Observation IDs 1 and 2 in the Health Values tab to differentiate same-study entries"]
[]
[null,"Version 3.0 release:"]
[null,"1.","2020 CPI data added."]
[null,"2.","Current value estimates in value tab sheets updated to 2020AUD."]
[null,"3.","Typo corrected and additional clarity added to Definition of physical or marginal change (Column J) for Observation ID 3 in the Social Values tab: "]
[null,null,null,"\"WTP per person per year to be away from home\" changed to \"WTP per person to return home, per year away from home\""]
[null,"4.","New entry added: Observation ID 16 in Health Values tab (Mental health)"]
[null,"5.","New entries added: Observation IDs 31 & 32 in Social Values tab (Cultural heritage)"]
[null,"6.","New entries added: Observation IDs 33 & 34 in Social Values tab (Social disruption)"]
[null,"7.","Value type tab updated to reflect inclusion of data relevant to the previously missing categories of mental health 'grief, stress and anxiety', "]
[null,null,"and cultural heritage 'European heritage significance'. "]
[null,"8. ","Value Tool citation updated in Cover tab"]