Vol. 13 No. 1 (2024): New pathways for improved delivery of public goods from agriculture and forestry
Full Research Articles

Innovative contract solutions for the Agri-Environmental-Climate Public Goods provision: Which features meet the farmers’ approval? Insights from Emilia-Romagna (Italy)

Riccardo D'Alberto
Dept. of Economics, University of Verona, Via Cantarane 24, 37129 Verona (VR)
Meri Raggi
Dept. of Statistical Sciences “P. Fortunati”, Alma Mater Studiorum University of Bologna, Via Delle Belle Arti 41, 40126 Bologna (BO)
Davide Viaggi
Dept. of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum University of Bologna, Viale Fanin 50, 40127 Bologna (BO)

Published 2023-05-15

Keywords

  • public goods,
  • result-based,
  • collective approach,
  • value chain,
  • land tenure

How to Cite

D’Alberto, R., Raggi, M., & Viaggi, D. (2023). Innovative contract solutions for the Agri-Environmental-Climate Public Goods provision: Which features meet the farmers’ approval? Insights from Emilia-Romagna (Italy). Bio-Based and Applied Economics, 13(1), 73–101. https://doi.org/10.36253/bae-14016

Funding data

Abstract

The agroecological transition promoted worldwide is supported by the European Union Common Agricultural Policy towards different strategies and policy tools. The agri-environmental schemes, offering farmers the possibility to adopt environment-friendly practices (thus mitigating negative externalities/providing positive ones) represent a straightforward example. However, there is dissatisfaction about their effectiveness and efficiency, while their improvement is envisaged through a flexible mix of new instruments: novel contract solutions fostering result-based payments, collective implementation, involving value chains and land tenure systems coupled to environmental conditionality. This paper investigates how farmers from Emilia-Romagna (Italy) perceive these innovative contract solutions as “easy to understand”, “applicable”, “economic beneficial”, and their willingness to enroll. The applied ordered logistic regression models include socio-demographic characteristics, structural features of the holdings, and the farmers’ preference(s) for 13 individual contract features. Farmers’ perceptions are driven by the previous experience acquired from similar measures, key socio-demographic characteristics/holding structural features, and peculiar contractual elements.

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