New Administrative Geospatial Data for Agricultural Policy Evaluation: An Application to EU Crop Diversity Obligations

ABSTRACT This study performs an evaluation of the EU crop diversification obligation by leveraging administrative, geo‐spatial data sourced from agricultural subsidy registers in Spain. The key features of GeoSpatial Aid Application (GSA) data include national coverage, accurate identification of land use and, crucially, the ability to group land parcels managed by the same farm, thus enabling causal analyses at the holding level. We provide novel empirical evidence of bunching at diversification policy thresholds. We calibrate a model of farmers' decision‐making to GSA data and provide insights on the characterization of bunchers and compliers, finding stronger reactions among smaller‐sized holdings. We concisely discuss implications for future research endeavors in the agricultural policy domain.

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Publication Details

Journal
Agricultural Economics
Published
2025-12-31
DOI
https://doi.org/10.1111/agec.70087
Primary Topic
Agricultural Economics and Policy
Type
article
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article

New Administrative Geospatial Data for Agricultural Policy Evaluation: An Application to EU Crop Diversity Obligations

Laura Serlenga, Zelda Brutti, Marzia Freo, Luis E. Rojas
Agricultural Economics
Agricultural Economics and Policy
article

New Administrative Geospatial Data for Agricultural Policy Evaluation: An Application to EU Crop Diversity Obligations

Laura Serlenga, Zelda Brutti, Marzia Freo, Luis E. Rojas
article en

Abstract

ABSTRACT This study performs an evaluation of the EU crop diversification obligation by leveraging administrative, geo‐spatial data sourced from agricultural subsidy registers in Spain. The key features of GeoSpatial Aid Application (GSA) data include national coverage, accurate identification of land use and, crucially, the ability to group land parcels managed by the same farm, thus enabling causal analyses at the holding level. We provide novel empirical evidence of bunching at diversification policy thresholds. We calibrate a model of farmers' decision‐making to GSA data and provide insights on the characterization of bunchers and compliers, finding stronger reactions among smaller‐sized holdings. We concisely discuss implications for future research endeavors in the agricultural policy domain.

Agricultural EconomicsVol. 57(1)
Abu Dhabi University (AE), Universitat Autònoma de Barcelona (ES), Abu Dhabi Health Services (AE), Joint Research Centre (IT), University of Bari Aldo Moro (IT)
Zero hunger
Openalex Percentile: Top 20%
Agricultural Economics and Policy
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