The Income Stabilisation Tool (IST), which was recently added to the European Common Agricultural Policy's risk management toolkit, is a mutual fund that aims at stabilising farmers' income. We investigate the drivers of farmers' participation in an IST for the apple sector in the Autonomous Province of Trento in Italy, which is the only region that has operationalised the 1ST in the European Union. Our analysis is based on a theoretical framework based on the Unified Theory of Use and Acceptance of Technology. Using a three-year panel dataset of 3268 farm households, we estimated a logit model with the Mundlak- Chamberlain procedure. Our results show that higher crop production specialisation, associated with greater risk exposure, favours participation in the 1ST. Similarly, previous experience with mutual funds increases the acceptance of the IST. The analysis also provides evidence of how the new tool interacts with existing on-farm protection strategies, leading to a discussion of the presence of adverse and advantageous selection effects. Our paper sheds light on farmers' acceptance of newly implemented sector-specific ISTs and generates better knowledge and understanding of lock-ins and levers that influence participation in such schemes, which are relevant to other EU regions or member states that are considering the introduction of ISTs.

Farmers' participation in the Income Stabilisation Tool: Evidence from the apple sector in Italy / Rippo, R; Cerroni, S. - In: JOURNAL OF AGRICULTURAL ECONOMICS. - ISSN 0021-857X. - 2023, 74:(2023), pp. 273-294. [10.1111/1477-9552.12508]

Farmers' participation in the Income Stabilisation Tool: Evidence from the apple sector in Italy

Rippo, R
;
Cerroni, S
2023-01-01

Abstract

The Income Stabilisation Tool (IST), which was recently added to the European Common Agricultural Policy's risk management toolkit, is a mutual fund that aims at stabilising farmers' income. We investigate the drivers of farmers' participation in an IST for the apple sector in the Autonomous Province of Trento in Italy, which is the only region that has operationalised the 1ST in the European Union. Our analysis is based on a theoretical framework based on the Unified Theory of Use and Acceptance of Technology. Using a three-year panel dataset of 3268 farm households, we estimated a logit model with the Mundlak- Chamberlain procedure. Our results show that higher crop production specialisation, associated with greater risk exposure, favours participation in the 1ST. Similarly, previous experience with mutual funds increases the acceptance of the IST. The analysis also provides evidence of how the new tool interacts with existing on-farm protection strategies, leading to a discussion of the presence of adverse and advantageous selection effects. Our paper sheds light on farmers' acceptance of newly implemented sector-specific ISTs and generates better knowledge and understanding of lock-ins and levers that influence participation in such schemes, which are relevant to other EU regions or member states that are considering the introduction of ISTs.
2023
Rippo, R; Cerroni, S
Farmers' participation in the Income Stabilisation Tool: Evidence from the apple sector in Italy / Rippo, R; Cerroni, S. - In: JOURNAL OF AGRICULTURAL ECONOMICS. - ISSN 0021-857X. - 2023, 74:(2023), pp. 273-294. [10.1111/1477-9552.12508]
File in questo prodotto:
File Dimensione Formato  
J Agricultural Economics - 2022 - Rippo - Farmers participation in the Income Stabilisation Tool Evidence from the apple.pdf

accesso aperto

Descrizione: first online
Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 1.16 MB
Formato Adobe PDF
1.16 MB Adobe PDF Visualizza/Apri
J Agricultural Economics - 2022 - Rippo - Farmers participation in the Income Stabilisation Tool Evidence from the apple.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 1.18 MB
Formato Adobe PDF
1.18 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/354923
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 11
  • OpenAlex ND
social impact