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Prioritizing payment for environmental services: Using nonmarket benefits and costs for optimal selection

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  • Duke, Joshua M.
  • Dundas, Steven J.
  • Johnston, Robert J.
  • Messer, Kent D.

Abstract

This article provides a practical, applied analysis of optimal targeting in agricultural land preservation, comparing the performance of four alternative targeting strategies. Nonmarket benefit data and hedonic cost estimates are used for parcels in Sussex County, Delaware. The results show that branch-and-bound optimization (OPT) does not significantly outperform the much simpler benefit–cost ratio targeting (BCRT). However, significant losses of potential net benefits occur when applied methods overlook either benefits or costs. In this application, benefit targeting (BT) and cost targeting (CT) significantly underperform both OPT and BCRT, with BT underperforming all other methods.

Suggested Citation

  • Duke, Joshua M. & Dundas, Steven J. & Johnston, Robert J. & Messer, Kent D., 2014. "Prioritizing payment for environmental services: Using nonmarket benefits and costs for optimal selection," Ecological Economics, Elsevier, vol. 105(C), pages 319-329.
  • Handle: RePEc:eee:ecolec:v:105:y:2014:i:c:p:319-329
    DOI: 10.1016/j.ecolecon.2014.06.014
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    17. Campanhão, Ligia Maria Barrios & Ranieri, Victor Eduardo Lima, 2019. "Guideline framework for effective targeting of payments for watershed services," Forest Policy and Economics, Elsevier, vol. 104(C), pages 93-109.
    18. Gerling, Charlotte & Drechsler, Martin & Keuler, Klaus & Sturm, Astrid & Wätzold, Frank, 2022. "Time to consider the timing of conservation measures: designing cost-effective agri-environment schemes under climate change," MPRA Paper 113877, University Library of Munich, Germany.
    19. Gerling, Charlotte & Schöttker, Oliver & Hearne, John, 2022. "Irreversible and partly reversible investments in the optimal reserve design problem: the role of flexibility under climate change," MPRA Paper 112089, University Library of Munich, Germany.

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