Applying Optimization and the Analytic Hierarchy Process to Enhance Agricultural Preservation Strategies in the State of Delaware
Using agricultural preservation priorities derived from an analytical hierarchy process by 23 conservation experts from 18 agencies in the state of Delaware, this research uses weighted benefit measures to evaluate the historical success of Delawareâ€™s agricultural protection fund, which spent nearly $100 million in its first decade. This research demonstrates how these operation research techniques can be used in concert to address relevant conservation questions. Results suggest that the stateâ€™s sealed-bid-offer auction, which determines the yearly conservation selections, is superior to benefit-targeting approaches frequently employed by conservation organizations, but is inferior to the optimization technique of binary linear programming that could have provided additional benefits to the state, such as 12,000 additional acres worth an estimated $25 million.
Volume (Year): 39 (2010)
Issue (Month): 3 (October)
|Contact details of provider:|| Web page: http://www.narea.org/|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Babcock, Bruce A. & Lakshminarayan, P. G. & Wu, J. & Zilberman, David, 1997. "Targeting Tools for the Purchase of Environmental Amenities," Staff General Research Papers Archive 5220, Iowa State University, Department of Economics.
- Kline, Jeffrey & Wichelns, Dennis, 1998. "Measuring heterogeneous preferences for preserving farmland and open space," Ecological Economics, Elsevier, vol. 26(2), pages 211-224, August.
- Duke, Joshua M., 2004. "Participation in Agricultural Land Preservation Programs: Parcel Quality and a Complex Policy Environment," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 33(1), April.