Abstract
We study the literature on willingness to pay (WTP) for local food by applying meta-regression analysis to a set of 35 eligible research papers that provide 86 estimates on consumers' WTP for the attribute "local." An analysis of the distribution of WTP measures suggests the presence of publication selection bias that favors larger and statistically significant results. The analyzed literature provides evidence for statistically significant differences among consumers' WTP for various types of product. Moreover, we find that the methodological approach (choice experiments vs. other approaches) and the analyzed country can have a significant influence on the generated WTP for local.
Publication types
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Meta-Analysis
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Research Support, U.S. Gov't, Non-P.H.S.
MeSH terms
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Commerce*
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Consumer Behavior / economics*
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Consumer Behavior / statistics & numerical data*
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Food / economics*
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Humans
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Regression Analysis
Grants and funding
This work was supported by EASM-3: Collaborative Research: “Physics-Based Predictive Modeling for Integrated Agricultural and Urban Applications”, USDA-NIFA (Grant Number: 2015-67003-23508 to CG) and NSF-MPS-DMS (Award Number: 1419593 to CG), as well as collaborative research: “Online Retailing and Local Food: How Farmers Can Capitalize”, AFRI-NIFA (Award Number: 2016-67023-24809). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.