Economics
Document Type
Article
Abstract
Agricultural cost-share research and planning tend to focus on one program at a time, and hence overlook additional efficiencies that might be obtained by considering the possibility that enrollment decisions are related across different programs. Models of multiple-program participation decisions enable these relationships to be considered as part of conditional enrollment predictions, providing more complete and accurate understanding of enrollment behavior. Analysis of data from farmer surveys in Maryland and Ohio show complementary drivers across program participation. Results are consistent with economies of scale and/or scope among different agri-environmental programs. The data also show the gains in prediction accuracy when the model accounts for participation in other programs, thereby enabling improved targeting and program design. For instance, enrollment in commodity-type programs causes a much larger marginal increase (12.6%) in the probability of Maryland cover crops participation than does the increase from Conservation Reserve Program enrollment (4.4%).
Publication Title
Applied Economic Perspectives and Policy
Publication Date
2022
Volume
45
Issue
2
First Page
1072
Last Page
1096
ISSN
2040-5790
DOI
10.1002/aepp.13227
Keywords
cost-share, cover crops, purchase of ecosystem services, soil health, sustainable agriculture
Repository Citation
Duke, Joshua M.; Johnston, Robert J.; Shober, Amy L.; and Liu, Zhongyuan, "Improving targeting of farmers for enrollment in agri-environmental programs" (2022). Economics. 139.
https://commons.clarku.edu/faculty_economics/139
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Copyright Conditions
Duke, J. M., Johnston, R. J., Shober, A. L., & Liu, Z. (2023). Improving targeting of farmers for enrollment in agri‐environmental programs. Applied Economic Perspectives and Policy, 45(2), 1072-1096.
