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Investigating Preferences for the Local Delivery of Agri-environment Benefits

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  • Guy Garrod
  • Eric Ruto
  • Ken Willis
  • Neil Powe

Abstract

type="main" xml:id="jage12040-abs-0001"> Since 2005, Environmental Stewardship (ES) has been the principal agri-environment scheme for England and is the key instrument for the delivery of increased environmental benefits from agricultural landscapes. The main objective of this study is to investigate the hypothesis that individuals have greater relative preferences for the environmental benefits associated with agri-environment schemes when they are delivered within those landscapes closest to where they live. A choice experiment approach based on a national survey provides the data and a mixed logit approach is used to model relative preferences for the environmental benefits of ES across five generic landscape types. Results show that most respondents have a preference for benefits delivered in those areas closest and most accessible to where they live.

Suggested Citation

  • Guy Garrod & Eric Ruto & Ken Willis & Neil Powe, 2014. "Investigating Preferences for the Local Delivery of Agri-environment Benefits," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(1), pages 177-190, January.
    • Handle: RePEc:bla:jageco:v:65:y:2014:i:1:p:177-190
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    File URL: http://hdl.handle.net/10.1111/jage.2014.65.issue-1
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    Cited by:

    1. Lizin, Sebastien & Van Passel, Steven & Schreurs, Eloi, 2015. "Farmres' Perceived Cost of Land Use restrictions: A Simulated Purchasing Decision Using Dscrete Choice Experiments," 2015 Conference, August 9-14, 2015, Milan, Italy 212054, International Association of Agricultural Economists.
    2. Xiang Wu & Bin Hu & Jie Xiong, 2020. "Understanding Heterogeneous Consumer Preferences in Chinese Milk Markets: A Latent Class Approach," Post-Print hal-02489646, HAL.
    3. Lim, Siew & Wachenheim, Cheryl, 2022. "Predicted enrollment in alternative attribute Conservation Reserve Program contracts," Land Use Policy, Elsevier, vol. 117(C).

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