An Iterative Auction for Spatially Contiguous Land Management: An Experimental Analysis

Simanti Banerjee, Anthony M Kwasnica and James S Shortle

No 2011-19, Stirling Economics Discussion Papers from University of Stirling, Division of Economics

Abstract: Tackling the problem of ecosystem services degradation is an important policy challenge. Different types of economic instruments have been employed by conservation agencies to meet this challenge. Notable among them are Payment for Ecosystem Services (PES) schemes that pay private landowners to change land uses to pro-environmental ones on their properties. This paper focuses on a PES scheme - an auction for the cost-efficient disbursal of government funds for selection of spatially contiguous land management projects. The auction is structured as an iterative descending price auction where every bid is evaluated on the basis of a scoring metric - a benefit cost ratio. The ecological effectiveness and economic efficiency of the auction is tested with data generated from lab experiments. These experiments use the information available to the subjects about the spatial goal as the treatment variable. Analysis indicates that the information reduces the cost-efficiency of the auction. Experience with bidding also has a negative impact on auction efficiency. The study also provides an analysis of the behavior of winners and losers at the final auction outcome as well as during the entire lifetime of the auction. Winners and losers are found to have significantly different behavior in this analysis. Behavior is also found to be significantly affected by the treatments as well.

Keywords: Conservation Auctions; experiments Ecosystem Services; Spatial Contigu ity (search for similar items in EconPapers)
Date: 2011-12
New Economics Papers: this item is included in nep-agr, nep-exp and nep-ppm
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Citations: View citations in EconPapers (1)

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http://hdl.handle.net/1893/3520

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Working Paper: An Iterative Auction for Spatially Contiguous Land Management: An Experimental Analysis (2011)
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