Behavioral and Experimental Agri-Environmental Research: Methodological Challenges, Literature Gaps, and Recommendations

• Published in: Environmental & resource economics Vol. 73; no. 3; pp. 719 - 742
• Main Authors: Palm-Forster, Leah H., Ferraro, Paul J., Janusch, Nicholas, Vossler, Christian A., Messer, Kent D.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.07.2019
• Subjects: agri-environmental policy; agricultural land; cost effectiveness; decision making; econometrics; Economic Policy; Economics; Economics and Finance; ecosystem services; Environmental Economics; Environmental Law/Policy/Ecojustice; Environmental Management; experimental design; meta-analysis; planning; Subject pools; Experimental design; D9; Q58; Behavioral insights; Effect size; C9; Conservation; Power analysis; Environmental economics; Q52
• ISSN: 0924-6460; 1573-1502
• DOI: 10.1007/s10640-019-00342-x

Insights from behavioral and experimental economics research can inform the design of evidence-based, cost-effective agri-environmental programs that mitigate environmental damages and promote the supply of environmental benefits from agricultural landscapes. To enhance future research on agri-environmental program design and to increase the speed at which credible scientific knowledge is accumulated, we highlight methodological challenges, identify important gaps in the existing literature, and make key recommendations for both researchers and those evaluating research. We first report on four key methodological challenges—underpowered designs, multiple hypothesis testing, interpretation issues, and choosing appropriate econometric methods—and suggest strategies to overcome these challenges. Specifically, we emphasize the need for more detailed planning during the experimental design stage, including power analyses and publishing a pre-analysis plan. Greater use of replication studies and meta-analyses will also help address these challenges and strengthen the quality of the evidence base. In the second part of this paper, we discuss how insights from behavioral and experimental economics can be applied to improve the design of agri-environmental programs. We summarize key insights using the MINDSPACE framework, which categorizes nine behavioral effects that influence decision-making (messenger, incentives, norms, defaults, salience, priming, affect, commitment, and ego), and we highlight recent research that tests these effects in agri-environmental contexts. We also propose a framework for prioritizing policy-relevant research in this domain.