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Maximizing conservation and in-kind cost share: Applying Goal Programming to forest protection

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  • Fooks, Jacob R.
  • Messer, Kent D.

Abstract

This research evaluates the potential gains in benefits from using Goal Programming to preserve forestland. Two- and three-dimensional Goal Programming models are developed and applied to data from applicants to the U.S. Forest Service's Forest Legacy Program, the largest forest protection program in the United States. Results suggest that not only do these model yield substantial increases in benefits, but by being able to account for both environmental benefits and in-kind partner cost share, Goal Programming may be flexible enough to facilitate adoption by program managers needing to account for both ecological and political factors.

Suggested Citation

  • Fooks, Jacob R. & Messer, Kent D., 2012. "Maximizing conservation and in-kind cost share: Applying Goal Programming to forest protection," Journal of Forest Economics, Elsevier, vol. 18(3), pages 207-217.
    • Handle: RePEc:eee:foreco:v:18:y:2012:i:3:p:207-217
    DOI: 10.1016/j.jfe.2012.04.001
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    References listed on IDEAS

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    1. Kotani, Koji & Messer, Kent D. & Schulze, William D., 2010. "Matching Grants and Charitable Giving: Why People Sometimes Provide a Helping Hand to Fund Environmental Goods," Agricultural and Resource Economics Review, Cambridge University Press, vol. 39(2), pages 324-343, April.
    2. Messer, Kent D. & Allen, William L., III, 2010. "Applying Optimization and the Analytic Hierarchy Process to Enhance Agricultural Preservation Strategies in the State of Delaware," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(3), pages 1-15, October.
    3. Baker, Michael & Payne, A. Abigail & Smart, Michael, 1999. "An empirical study of matching grants: the 'cap on CAP'," Journal of Public Economics, Elsevier, vol. 72(2), pages 269-288, May.
    4. Hayri Önal, 1997. "Trade-off between Structural Diversity and Economic Objectives in Forest Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 1001-1012.
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    Cited by:

    1. 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.
    2. Messer, Kent D. & Borchers, Allison M., 2015. "Choice for goods under threat of destruction," Economics Letters, Elsevier, vol. 135(C), pages 137-140.
    3. Jacob R. Fooks & Kent D. Messer & Maik Kecinski, 2018. "A Cautionary Note on the Use of Benefit Metrics for Cost-Effective Conservation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 985-999, December.
    4. Manners, Rhys & Varela-Ortega, Consuelo, 2018. "The Role of Decision-making in Ecosystem Service Trade-offs in Lowland Bolivia's Amazonian Agricultural Systems," Ecological Economics, Elsevier, vol. 153(C), pages 31-42.

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    More about this item

    Keywords

    Goal Programming; Multi-objective programming; Conservation optimization; Forest conservation; Environmental services; In-kind cost sharing; Matching grants;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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