IDEAS home Printed from https://ideas.repec.org/p/ags/aaea11/103997.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/103997/files/AAEA-Applying%20Optimization%20to%20the%20Conservation%20in%20Project%20Selection%20Process.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.103997?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    More about this item

    Keywords

    Environmental Economics and Policy;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea11:103997. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.