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Current Framework of Italian Agriculture and Changes between the 2010 and 2020 Censuses

Luca Altamore, Pietro Chinnici, Simona Bacarella, Stefania Chironi and Marzia Ingrassia ()
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Luca Altamore: Department of Agricultural, Food and Forestry Sciences, Università Degli Studi di Palermo, 90123 Palermo, Italy
Pietro Chinnici: Department of Agricultural, Food and Forestry Sciences, Università Degli Studi di Palermo, 90123 Palermo, Italy
Simona Bacarella: Department of Agricultural, Food and Forestry Sciences, Università Degli Studi di Palermo, 90123 Palermo, Italy
Stefania Chironi: Department of Agricultural, Food and Forestry Sciences, Università Degli Studi di Palermo, 90123 Palermo, Italy
Marzia Ingrassia: Department of Agricultural, Food and Forestry Sciences, Università Degli Studi di Palermo, 90123 Palermo, Italy

Agriculture, 2024, vol. 14, issue 9, 1-37

Abstract: This study aims to describe the current framework of the Italian agricultural sector and the changes that occurred in the decade between the two general censuses of agriculture of 2010 and 2020, and the EU Common Agricultural Policy (CAP) programming period 2014–2020. The General Census of Agriculture is an economic census carried out to fulfill international and EU legislation requirements, but also to meet national information needs. It consists in counting farms and identifying their characteristics. For this study, the official data of the 7th Italian General Census of Agriculture (GCA) of 2020 were collected, analyzed, and compared to those of the previous 6th GCA of 2010. Farms’ type of activities, structure, digitalization/computerization, innovation, and workforces’ characteristics were analyzed. Correlations between farms with investments in innovation and other variables like the age and the educational qualification of entrepreneurs and the farm’s size (agricultural used area) were calculated. Groups of similar Italian regions for types of farm and types of farming (segmenting the sector into subsets of regions that share common characteristics), and groups of similar farming characteristics in the entire agricultural sector, were highlighted. The results showed a notable positive correlation between farms’ investment in innovation and farms’ size, and a medium but positive correlation also with other two variables, the entrepreneur’s range of age and educational qualification. Results found groups of regions that are similar in terms of types of farm and farming types, highlighting that the agricultural sector in Italy is not homogeneous among all the regions of north, center, and south. Moreover, the discovered different groups of farming characteristics highlighted the Italian “farm profiles”, i.e., descriptions of key information about different specific types of farm. The overall analysis of all the results of this study provided the current situation of the Italian agricultural sector and discussion about its characteristics and changes during the last ten years. Based on our knowledge, this study is the first one with such a level of comprehensiveness. Findings are of high interest to academics in agriculture economics and policy maker, because they contribute to identifying the farms’ and territories’ strategic elements that require strengthening to foster economic and social development. Moreover these findings may provide food for thought on the effectiveness of the development strategy of the EU CAP 2023–2027 (through greening and digitization) at the regional and European levels, starting from the baseline situation of this country, which is certainly one, but which is among the most relevant ones in the European agri-food system and also globally.

Keywords: agricultural sector; EU common agricultural policy; multifunctional agriculture; farm characteristics; agricultural activity (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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