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The welfare gains from diversified environmental policies

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  • Blachly, Ben
  • Sims, Charles
  • Warziniack, Travis

Abstract

This paper provides a utility-theoretic framework for allocating a budget across multiple environmental projects with uncertain outcomes. We utilize portfolio theory to derive the price of a risk (i.e., variance) reduction, then we estimate willingness to pay for the same risk reduction by analyzing stated preference data using a mean-variance specification for utility. The welfare-maximizing budget allocation is determined by equating price and willingness to pay. We use our framework to make two points. First, the welfare gains from a diversified environmental policy (i.e., one composed of multiple environmental projects) depend on society's willingness to pay for policy risk reduction and the price of a risk reduction determined by the covariance between projects. In an application to salmon restoration in Maine, we find that the welfare gains from policy diversification are equal to 5 % of society's willingness to pay for salmon restoration overall. In addition, failing to account for aversion to outcome variance may lead to underestimates of willingness to pay for environmental projects and over-investment in the riskiest projects. Failing to account for aversion to variance in the number of salmon underestimates the welfare associated with salmon restoration by over 80 % and funnels all restoration into the watershed where successful restoration is most uncertain.

Suggested Citation

  • Blachly, Ben & Sims, Charles & Warziniack, Travis, 2026. "The welfare gains from diversified environmental policies," Ecological Economics, Elsevier, vol. 239(C).
  • Handle: RePEc:eee:ecolec:v:239:y:2026:i:c:s0921800925002332
    DOI: 10.1016/j.ecolecon.2025.108750
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    1. Payal Shah & Amy W. Ando, 2015. "Downside versus Symmetric Measures of Uncertainty in Natural Resource Portfolio Design to Manage Climate Change Uncertainty," Land Economics, University of Wisconsin Press, vol. 91(4), pages 664-687.
    2. John Rolfe & Jill Windle, 2015. "Do Respondents Adjust Their Expected Utility in the Presence of an Outcome Certainty Attribute in a Choice Experiment?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 60(1), pages 125-142, January.
    3. Bartczak, Anna & Chilton, Susan & Meyerhoff, Jürgen, 2015. "Wildfires in Poland: The impact of risk preferences and loss aversion on environmental choices," Ecological Economics, Elsevier, vol. 116(C), pages 300-309.
    4. Hanoch, Giora, 1977. "Risk Aversion and Consumer Preferences," Econometrica, Econometric Society, vol. 45(2), pages 413-426, March.
    5. Harry Markowitz, 1952. "Portfolio Selection," Journal of Finance, American Finance Association, vol. 7(1), pages 77-91, March.
    6. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    7. Glenk, Klaus & Colombo, Sergio, 2013. "Modelling Outcome-Related Risk in Choice Experiments," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(4), pages 1-20.
    8. Merton, Robert C., 1971. "Optimum consumption and portfolio rules in a continuous-time model," Journal of Economic Theory, Elsevier, vol. 3(4), pages 373-413, December.
    9. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    10. Vinent, Orencio Duran & Johnston, Robert J. & Kirwan, Matthew L. & Leroux, Anke D. & Martin, Vance L., 2019. "Coastal dynamics and adaptation to uncertain sea level rise: Optimal portfolios for salt marsh migration," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    11. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    12. Robert S. Pindyck, 2014. "Risk and Return in the Design of Environmental Policy," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(3), pages 395-418.
    13. Andre Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, uncertainty and discrete choice models," Marketing Letters, Springer, vol. 19(3), pages 269-285, December.
      • André de Palma & Moshe Ben-Akiva & David Brownstone & Charles Holt & Thierry Magnac & Daniel McFadden & Peter Moffatt & Nathalie Picard & Kenneth Train & Peter Wakker & Joan Walker, 2008. "Risk, Uncertainty and Discrete Choice Models," Thema Working Papers 2008-02, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    14. J. Tobin, 1958. "Liquidity Preference as Behavior Towards Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 25(2), pages 65-86.
    15. Merton, Robert C, 1969. "Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case," The Review of Economics and Statistics, MIT Press, vol. 51(3), pages 247-257, August.
    16. Mary Riddel, 2012. "Comparing risk preferences over financial and environmental lotteries," Journal of Risk and Uncertainty, Springer, vol. 45(2), pages 135-157, October.
    17. Li, Zheng & Hensher, David A. & Rose, John M., 2010. "Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 384-403, May.
    18. Leroux, Anke D. & Martin, Vance L. & Zheng, Hao, 2018. "Addressing water shortages by force of habit," Resource and Energy Economics, Elsevier, vol. 53(C), pages 42-61.
    19. Makriyannis, Christos & Johnston, Robert J. & Whelchel, Adam W., 2018. "Are Choice Experiment Treatments of Outcome Uncertainty Sufficient? An Application to Climate Risk Reductions," Agricultural and Resource Economics Review, Cambridge University Press, vol. 47(3), pages 419-451, December.
    20. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    21. David von Eiff & Aude Pommeret, 2021. "Determining an Optimal Water Mix for Hong Kong," Post-Print hal-03969176, HAL.
    22. Anke D. Leroux & Vance L. Martin & Kathryn A. St. John, 2022. "Modeling time varying risk of natural resource assets: Implications of climate change," Quantitative Economics, Econometric Society, vol. 13(1), pages 225-257, January.
    23. Tensay Hadush Meles & Razack Lokina & Erica Louis Mtenga & Julieth Julius Tibanywana, 2023. "Stated Preferences with Survey Consequentiality and Outcome Uncertainty: A Split Sample Discrete Choice Experiment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(4), pages 717-754, December.
    24. Roberts, David C. & Boyer, Tracy A. & Lusk, Jayson L., 2008. "Preferences for environmental quality under uncertainty," Ecological Economics, Elsevier, vol. 66(4), pages 584-593, July.
    25. Levy, H & Markowtiz, H M, 1979. "Approximating Expected Utility by a Function of Mean and Variance," American Economic Review, American Economic Association, vol. 69(3), pages 308-317, June.
    26. Meles, Tensay Hadush & Lokina, Razack & Mtenga, Erica Louis & Tibanywana, Julieth Julius, 2023. "Stated preferences with survey consequentiality and outcome uncertainty: A split sample discrete choice experiment," EfD Discussion Paper 23-16, Environment for Development, University of Gothenburg.
    27. Jorge Holzer & Kenneth McConnell, 2017. "Risk Preferences and Compliance in Recreational Fisheries," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(S1), pages 1-35.
    28. Bockstael, Nancy E. & Opaluch, James J., 1983. "Discrete modelling of supply response under uncertainty: The case of the fishery," Journal of Environmental Economics and Management, Elsevier, vol. 10(2), pages 125-137, June.
    29. Michela Faccioli & Laure Kuhfuss & Mikołaj Czajkowski, 2019. "Stated Preferences for Conservation Policies Under Uncertainty: Insights on the Effect of Individuals’ Risk Attitudes in the Environmental Domain," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(2), pages 627-659, June.
    30. Haim Levy, 2004. "Prospect Theory and Mean-Variance Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 17(4), pages 1015-1041.
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    JEL classification:

    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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