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When Does Public Information Undermine the Efficiency of Reverse Auctions for the Purchase of Ecosystem Services?

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  • Messer, Kent D.
  • Duke, Joshua M.
  • Lynch, Lori
  • Li, Tongzhe

Abstract

Government agencies that conduct reverse auctions related to the Payment of Ecosystem Services (PES) traditionally provide a significant amount of public information about past auction results. This information includes not only the amount of money spent by the government but also can include various information about the accepted bids. This research uses induced-value experiments to evaluate the effect of past auction information on seller (landholder) rent seeking. Results suggest that sellers use this public information and learn how to secure higher rents. However, when sellers are given information only about the buyer's (government agency's) budget, they secure lower rents. Results also suggest that relative budget size affects rents and that budget stochastic variability in the presence of market information diminishes the effect. Thus, in the presence of public information and equivalent total outlays, variable budgets are more likely than stationary budgets to achieve auction fiscal efficiency—the measure of whether the auction achieves the greatest PES benefits given its limited budget. Finally, this research finds that auctions with greater heterogeneity in seller opportunity costs are likely to be less fiscally efficient than when the distribution is more homogeneous.

Suggested Citation

  • Messer, Kent D. & Duke, Joshua M. & Lynch, Lori & Li, Tongzhe, 2017. "When Does Public Information Undermine the Efficiency of Reverse Auctions for the Purchase of Ecosystem Services?," Ecological Economics, Elsevier, vol. 134(C), pages 212-226.
  • Handle: RePEc:eee:ecolec:v:134:y:2017:i:c:p:212-226
    DOI: 10.1016/j.ecolecon.2016.12.004
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    2. Cramton, Peter & Hellerstein, Daniel & Higgins, Nathaniel & Iovanna, Richard & López-Vargas, Kristian & Wallander, Steven, 2021. "Improving the cost-effectiveness of the Conservation Reserve Program: A laboratory study," Journal of Environmental Economics and Management, Elsevier, vol. 108(C).
    3. Leah H. Palm-Forster & Paul J. Ferraro & Nicholas Janusch & Christian A. Vossler & Kent D. Messer, 2019. "Behavioral and Experimental Agri-Environmental Research: Methodological Challenges, Literature Gaps, and Recommendations," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(3), pages 719-742, July.
    4. Nguyen, Chi & Latacz-Lohmann, Uwe, 2023. "Assessing the performance of agglomeration bonus in budget-constrained conservation auctions," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334544, Agricultural Economics Society - AES.
    5. Chi Nguyen & Uwe Latacz‐Lohmann & Nick Hanley, 2024. "Landscape‐level determinants of the performance of an agglomeration bonus in conservation auctions," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 592-616, June.
    6. Karsyn Lamb & Kristiana Hansen & Christopher Bastian & Amy Nagler & Chian Jones Ritten, 2019. "Investigating Potential Impacts of Credit Failure Risk Mitigation on Habitat Exchange Outcomes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(3), pages 815-842, July.
    7. Thilo W. Glebe, 2022. "The influence of contract length on the performance of sequential conservation auctions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 739-764, March.
    8. Simanti Banerjee & Timothy N. Cason & Frans P. de Vries & Nick Hanley, 2021. "Spatial Coordination and Joint Bidding in Conservation Auctions," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 8(5), pages 1013-1049.
    9. Stephanie Rosch & Sharon Raszap Skorbiansky & Collin Weigel & Kent D. Messer & Daniel Hellerstein, 2021. "Barriers to Using Economic Experiments in Evidence‐Based Agricultural Policymaking," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(2), pages 531-555, June.
    10. Janusch, Nicholas & Palm-Forster, Leah H. & Messer, Kent D. & Ferraro, Paul J., 2017. "Behavioral Insights for Agri-Environmental Program and Policy Design," 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania 266299, Agricultural and Applied Economics Association.

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    More about this item

    Keywords

    Reverse auctions; Purchase of ecosystem services; Conservation auctions; Auction efficiency; Land preservation;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions

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