The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output Tables

Clio Ciaschini, Margherita Carlucci, Francesco Maria Chelli, Giuseppe Ricciardo Lamonica and Luca Salvati ()
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Clio Ciaschini: Department of Economic and Social Sciences, Polytechnic University of Marche, 60121 Ancona, Italy
Francesco Maria Chelli: Department of Economic and Social Sciences, Polytechnic University of Marche, 60121 Ancona, Italy
Giuseppe Ricciardo Lamonica: Department of Economic and Social Sciences, Polytechnic University of Marche, 60121 Ancona, Italy
Luca Salvati: Department of Methods and Models for Economics, Territory and Finance, Sapienza University of Rome, 00185 Rome, Italy

Economies, 2022, vol. 10, issue 12, 1-22

Abstract: Italy joined the so-called ‘Industry 4.0’ European framework in 2016, which designed and approved a national plan to regulate this key issue for regional development. To better support such a framework, the present study attempts to quantify the contribution of the Italian regions to the output formation process. More specifically, a multi-sectoral Input–Output (IO) model that supports national policies was proposed to cumulatively consider 29 industries that partition the Italian economy into representative branches at the level of administrative regions. Elementary input data were derived from the inter-sectoral table of the economy released by the Italian National Institute of Statistics (ISTAT). The economic outcomes of the Italian regions were estimated using a non-survey procedure, based on Flegg Location Quotients, to determine the upstream and downstream positions of each industry at country and regional levels. Indices grounded on the Hypothetical Extraction Method (HEM) further delineated the role each industry plays in the regional economy. The empirical findings of this study demonstrate how non-survey IO regionalization and the resulting industry-based indices provide appropriate knowledge for regional development policies.

Keywords: Input–Output; regionalization; Hypothetical Extraction Method; linkage analysis (search for similar items in EconPapers)
JEL-codes: E F I J O Q (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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