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Preferences for Equality in Environmental Outcomes

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  • Cropper, Maureen

    (Resources for the Future)

  • Krupnick, Alan

    (Resources for the Future)

  • Raich, William

    (Resources for the Future)

Abstract

Benefit-cost analysis judges health and safety regulations according to whether the monetized benefits of risk reductions, as measured by individual willingness-to-pay (WTP), exceed their costs. One way to complement such analyses is to take into account the distributional effects of health and safety policies. Our goal in this paper is to estimate the parameters of individuals’ social welfare functions (SWFs) defined over environmental health risks—specifically, risks of cancer and lung disease. We do this by confronting people with choices between environmental programs that result in higher average but more equally distributed health risks, and programs that would deliver lower average but less equally distributed health risks. We use the responses to parameterize an Atkinson SWF for cancer risks and a similar function for risks of lung disease. This SWF could be used to evaluate programs that would alter the distribution of environmental health risks in a population. The analysis also produces an inequality index (the Atkinson index) for health risks that reflects the preferences of our sample for equality of outcomes. Our empirical estimates of public preferences for environmental health risk distributions come from a national internet survey with more than 900 completions, administered in August 2015. The survey asked respondents to choose between environmental programs that result in different mean health risks in a population and different distributions of these risks. Respondents made these choices (a) in a situation in which they (and their families) were not affected by the choices, and (b) in a situation in which they were affected, to see how this altered their preferences. We also used “leaky bucket” experiments to elicit respondents’ preferences for income inequality and a repeated coin toss question to gauge risk aversion. In addition to the base case survey, we used four alternative survey treatments to examine the effect of the scale of the risks, the nature of the health risks (lung disease versus cancer) and the effects of the order of questions on responses. The results of our survey suggest that people are willing to accept a program that results in a higher total environmental health risk provided this risk is equally distributed across the population. Specifically, the median respondent is willing to accept a 50 percent increase in mean health risk (e.g., total environmental cancer cases) if these risks are distributed equally in the population. Interestingly, this result is the same whether the respondent and his family are affected by the program or not. When we compare preferences for income equality versus equality in the distribution of health risks, we find that the proportionate sacrifice people are willing to accept in the mean outcome to ensure equality in the distribution of outcomes is greater for health than for income: inequality aversion is higher for health risks than for income.

Suggested Citation

  • Cropper, Maureen & Krupnick, Alan & Raich, William, 2016. "Preferences for Equality in Environmental Outcomes," RFF Working Paper Series dp-16-36, Resources for the Future.
  • Handle: RePEc:rff:dpaper:dp-16-36
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    References listed on IDEAS

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    1. Andrew E. Clark & Conchita d'Ambrosio, 2014. "Attitudes to Income Inequality: Experimental and Survey Evidence," PSE Working Papers halshs-00967938, HAL.
    2. Blackorby, Charles & Donaldson, David, 1980. "A Theoretical Treatment of Indices of Absolute Inequality," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 21(1), pages 107-136, February.
    3. Glenn Sheriff & Kelly B. Maguire, 2013. "Ranking Distributions of Environmental Outcomes Across Population Groups," NCEE Working Paper Series 201304, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Aug 2013.
    4. Jukka Pirttilä & Roope Uusitalo, 2010. "A ‘Leaky Bucket’ in the Real World: Estimating Inequality Aversion using Survey Data," Economica, London School of Economics and Political Science, vol. 77(305), pages 60-76, January.
    5. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    6. Yoram Amiel & John Creedy & Stan Hurn, 1999. "Measuring Attitudes Towards Inequality," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(1), pages 83-96, March.
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    Cited by:

    1. Miqdad Asaria & Joan Costa-Font & Frank Cowell, 2023. "How does exposure to COVID-19 influence health and income inequality aversion?," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 61(3), pages 625-647, October.
    2. Venmans, Frank & Groom, Ben, 2021. "Social discounting, inequality aversion, and the environment," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    3. Hurley, Jeremiah & Mentzakis, Emmanouil & Walli-Attaei, Marjan, 2020. "Inequality aversion in income, health, and income-related health," Journal of Health Economics, Elsevier, vol. 70(C).
    4. Glenn Sheriff & Kelly B. Maguire, 2020. "Health Risk, Inequality Indexes, and Environmental Justice," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2661-2674, December.
    5. Richard Cookson & Shehzad Ali & Aki Tsuchiya & Miqdad Asaria, 2018. "E‐learning and health inequality aversion: A questionnaire experiment," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1754-1771, November.
    6. Erin T. Mansur & Glenn Sheriff, 2019. "Do Pollution Markets Harm Low Income and Minority Communities? Ranking Emissions Distributions Generated by California's RECLAIM Program," NBER Working Papers 25666, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    inequality; equity; health risks; welfare;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • D6 - Microeconomics - - Welfare Economics

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