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Understanding the Spatial Agglomeration of Participation in Agri-Environmental Schemes: The Case of the Tuscany Region

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  • Fabio Bartolini

    (Department of Agricultural, Food and Agro-Environmental Sciences, University of Pisa, Via del Boghetto 80, 56124 Pisa, Italy)

  • Daniele Vergamini

    (Department of Agricultural, Food and Agro-Environmental Sciences, University of Pisa, Via del Boghetto 80, 56124 Pisa, Italy)

Abstract

Agri-environmental schemes (AESs) constitute one of the main agricultural policy instruments that address environmental objectives in the Common Agricultural Policy. However, in spite of a 20-year application window and large budgetary shares allocated by EU member states, several studies demonstrate lower-than-expected environmental impacts. The reasons for poor environmental outcomes are the lack of targeting, low participation rates, spatial heterogeneity, and information asymmetry between farmers and public administrators. This study comprehensively analyses the determinants of AES adoption while highlighting patterns of the spatial agglomeration of participation in organic and integrated production. For this, we combine the results of farm-level adoption analysis with a spatial analysis of the participation rate. The results show that both micro- and meso-level characteristics strongly impact AES participation. In fact, farm and household structure, quality of extension services, and territorial conditions all significantly affect AES adoption.

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  • Fabio Bartolini & Daniele Vergamini, 2019. "Understanding the Spatial Agglomeration of Participation in Agri-Environmental Schemes: The Case of the Tuscany Region," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2753-:d:230994
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    2. Melindi-Ghidi, Paolo & Dedeurwaerdere, Tom & Fabbri, Giorgio, 2020. "Using environmental knowledge brokers to promote deep green agri-environment measures," Ecological Economics, Elsevier, vol. 176(C).
    3. Pei Xu & Zehu Jin & Huan Tang, 2022. "Influence Paths and Spillover Effects of Agricultural Agglomeration on Agricultural Green Development," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
    4. Giannoccaro, Giacomo & Roselli, Luigi & Sardaro, Ruggiero & de Gennaro, Bernardo C., 2022. "Design of an incentive-based tool for effective water saving policy in agriculture," Agricultural Water Management, Elsevier, vol. 272(C).
    5. Matteo Olivieri & Maria Andreoli & Daniele Vergamini & Fabio Bartolini, 2021. "Innovative Contract Solutions for the Provision of Agri-Environmental Climatic Public Goods: A Literature Review," Sustainability, MDPI, vol. 13(12), pages 1-22, June.
    6. Yoshitaka Miyake & Shota Kimoto & Yuta Uchiyama & Ryo Kohsaka, 2022. "Income Change and Inter-Farmer Relations through Conservation Agriculture in Ishikawa Prefecture, Japan: Empirical Analysis of Economic and Behavioral Factors," Land, MDPI, vol. 11(2), pages 1-18, February.
    7. Bartolini, Fabio & Vergamini, Daniele & Longhitano, Davide & Povellato, Andrea, 2021. "Do differential payments for agri-environment schemes affect the environmental benefits? A case study in the North-Eastern Italy," Land Use Policy, Elsevier, vol. 107(C).
    8. Lu, Chen-Fu & Cheng, Chia-Yi, 2023. "Exploring the distribution of organic farming: Findings from certified rice in Taiwan," Ecological Economics, Elsevier, vol. 212(C).

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