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Applying Optimization to the Conservation Project Selection Process: A Case Study of Readiness and Environmental Protection Initiative

Author

Listed:
  • Liu, Zhuo
  • Messer, Kent D.
  • Korch, Mary A.
  • Bounds, Thomas

Abstract

This study presents a thorough discussion of the efficiency and effectiveness improvement from optimization models (Binary Linear Programming and Goal Programming), as applied to the Department of Defense’s Readiness and Environmental Protection Initiative. The OM models can yield 21% and 19.1% higher benefit scores respectively, spending $13,013,473 and $31,463,473 less total acquisition costs. To achieve the same level of conservation benefits for the current rank based approach, the REPI would spend additional $20.1 million and approximate 50% of the budget. A counterpart of OM- the cost-effective analysis is observed to be inefficient when the problem becomes complex. In a real world of political environment of the conservation programs, we suggest a hybrid method of current rank based approach and the OM as well as the GP to address incompatible goals of interests groups.

Suggested Citation

  • Liu, Zhuo & Messer, Kent D. & Korch, Mary A. & Bounds, Thomas, 2011. "Applying Optimization to the Conservation Project Selection Process: A Case Study of Readiness and Environmental Protection Initiative," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103997, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea11:103997
    DOI: 10.22004/ag.econ.103997
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    Cited by:

    1. Shang Wu & Jenna Toussaint & Kent D. Messer, 2017. "Maximizing benefits in project selection: a hybrid approach," Applied Economics, Taylor & Francis Journals, vol. 49(40), pages 4071-4082, August.
    2. Jenna Toussaint & Shang Wu & Kent D. Messer, 2012. "Maximizing Benefits for Women: A Charitable Donation Allocation Problem," Working Papers 12-12, University of Delaware, Department of Economics.

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    Keywords

    Environmental Economics and Policy;

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