The profound changes in European policy for farms advisory services (FAS) require a period of experimentation and results observation before the new CAP 2021-2027. This paper focuses on Measure 2 of Rural Development Programme (RDP) 2014-2020. The paper is focused on the description of case studies in three Italian regions: Campania, Emilia-Romagna and Veneto. Different Measure 2 – sub-measure 2.1 models are analyzed through a qualitative approach, using a conceptual framework adapted by Birner et al. (2009). The paper contributes to the ongoing debate in the scientific literature on the strengths and weakness of policy intervention focused on tailored advisory services to force a broader Agricultural Innovation System.

Farm advisory services and knowledge growth in Italy: comparison among three regional intervention models / Menna, C.; Gandolfi, F.; Passari, M.; Cannellini, M.; Trentin, G.; DEL GIUDICE, Teresa; Cavallo, C.; Cigliano, I.. - In: RIVISTA DI ECONOMIA AGRARIA. - ISSN 2281-1559. - 75:1(2020), pp. 61-70. [10.13128/rea-11743]

Farm advisory services and knowledge growth in Italy: comparison among three regional intervention models

Menna C.
;
Giudice Teresa Del;Cavallo C.;
2020

Abstract

The profound changes in European policy for farms advisory services (FAS) require a period of experimentation and results observation before the new CAP 2021-2027. This paper focuses on Measure 2 of Rural Development Programme (RDP) 2014-2020. The paper is focused on the description of case studies in three Italian regions: Campania, Emilia-Romagna and Veneto. Different Measure 2 – sub-measure 2.1 models are analyzed through a qualitative approach, using a conceptual framework adapted by Birner et al. (2009). The paper contributes to the ongoing debate in the scientific literature on the strengths and weakness of policy intervention focused on tailored advisory services to force a broader Agricultural Innovation System.
2020
Farm advisory services and knowledge growth in Italy: comparison among three regional intervention models / Menna, C.; Gandolfi, F.; Passari, M.; Cannellini, M.; Trentin, G.; DEL GIUDICE, Teresa; Cavallo, C.; Cigliano, I.. - In: RIVISTA DI ECONOMIA AGRARIA. - ISSN 2281-1559. - 75:1(2020), pp. 61-70. [10.13128/rea-11743]
File in questo prodotto:
File Dimensione Formato  
riccardo,+OP04100_REA_2020_1_61-70_20200611_1424.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 269.81 kB
Formato Adobe PDF
269.81 kB 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/11588/951202
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact