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Valuing ecosystem diversity in South East Queensland: A life satisfaction approach

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  • Christopher L Ambrey
  • Christopher M Fleming

Abstract

The valuation of complex environmental goods represents a considerable challenge for conventional non-market valuation techniques. The use of life satisfaction (or happiness) data has recently emerged as a new means of placing monetary values on non-market goods and services. This approach offers several advantages over more conventional techniques. This paper uses data from the Household, Income and Labour Dynamics in Australia survey along with Geographic Information Systems data to value ecosystem diversity in South East Queensland, Australia. It is found that, on average, a respondent has an implicit willingness-to-pay of approximately AUD$14 000 in household income per annum to obtain a one unit improvement in ecosystem diversity. This result confirms that the preservation, or improvement, of existing levels of ecosystem diversity is welfare enhancing. To our knowledge, this is the first paper to value ecosystem diversity using the life satisfaction approach. Copyright Springer Science+Business Media Dordrecht 2014
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Suggested Citation

  • Christopher L Ambrey & Christopher M Fleming, 2012. "Valuing ecosystem diversity in South East Queensland: A life satisfaction approach," Discussion Papers in Economics economics:201210, Griffith University, Department of Accounting, Finance and Economics.
  • Handle: RePEc:gri:epaper:economics:201210
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    Citations

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    Cited by:

    1. Bartkowski, Bartosz & Lienhoop, Nele & Hansjürgens, Bernd, 2015. "Capturing the complexity of biodiversity: A critical review of economic valuation studies of biological diversity," Ecological Economics, Elsevier, vol. 113(C), pages 1-14.
    2. Christopher Ambrey & Christopher Fleming, 2014. "Life Satisfaction in Australia: Evidence from Ten Years of the HILDA Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(2), pages 691-714, January.
    3. Plant, Lyndal & Rambaldi, Alicia & Sipe, Neil, 2017. "Evaluating Revealed Preferences for Street Tree Cover Targets: A Business Case for Collaborative Investment in Leafier Streetscapes in Brisbane, Australia," Ecological Economics, Elsevier, vol. 134(C), pages 238-249.
    4. repec:spr:endesu:v:19:y:2017:i:3:d:10.1007_s10668-016-9771-1 is not listed on IDEAS
    5. repec:eee:ecoser:v:24:y:2017:i:c:p:58-67 is not listed on IDEAS
    6. Farnsworth, K.D. & Adenuga, A.H. & de Groot, R.S., 2015. "The complexity of biodiversity: A biological perspective on economic valuation," Ecological Economics, Elsevier, vol. 120(C), pages 350-354.
    7. Ambrey, Christopher L. & Fleming, Christopher M., 2014. "The causal effect of income on life satisfaction and the implications for valuing non-market goods," Economics Letters, Elsevier, vol. 123(2), pages 131-134.
    8. Knight, S.J; Howley, P.;, 2017. "Can clean air make you happy? Examining the effect of nitrogen dioxide (NO2) on life satisfaction," Health, Econometrics and Data Group (HEDG) Working Papers 17/08, HEDG, c/o Department of Economics, University of York.
    9. Christopher L. Ambrey & Christopher M. Fleming & Matthew Manning & Christine Smith, 2016. "On the Confluence of Freedom of the Press, Control of Corruption and Societal Welfare," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 859-880, September.
    10. repec:rom:terumm:v:12:y:2017:i:1:p:21-37 is not listed on IDEAS

    More about this item

    Keywords

    Biodiversity; ecosystem diversity; Household Income and Labour Dynamics in Australia (HILDA); life satifaction; non-market valuation;

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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