The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output Tables
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 form...
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MDPI AG
2022-11-01
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Online Access: | https://www.mdpi.com/2227-7099/10/12/300 |
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author | Clio Ciaschini Margherita Carlucci Francesco Maria Chelli Giuseppe Ricciardo Lamonica Luca Salvati |
author_facet | Clio Ciaschini Margherita Carlucci Francesco Maria Chelli Giuseppe Ricciardo Lamonica Luca Salvati |
author_sort | Clio Ciaschini |
collection | DOAJ |
description | 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. |
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issn | 2227-7099 |
language | English |
last_indexed | 2024-03-09T17:03:32Z |
publishDate | 2022-11-01 |
publisher | MDPI AG |
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spelling | doaj.art-677df37d63b24aceb19530006d48f4632023-11-24T14:26:28ZengMDPI AGEconomies2227-70992022-11-01101230010.3390/economies10120300The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output TablesClio Ciaschini0Margherita Carlucci1Francesco Maria Chelli2Giuseppe Ricciardo Lamonica3Luca Salvati4Department of Economic and Social Sciences, Polytechnic University of Marche, 60121 Ancona, ItalyDepartment of Social and Economic Sciences, Sapienza University of Rome, 00185 Rome, ItalyDepartment of Economic and Social Sciences, Polytechnic University of Marche, 60121 Ancona, ItalyDepartment of Economic and Social Sciences, Polytechnic University of Marche, 60121 Ancona, ItalyDepartment of Methods and Models for Economics, Territory and Finance, Sapienza University of Rome, 00185 Rome, ItalyItaly 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.https://www.mdpi.com/2227-7099/10/12/300Input–OutputregionalizationHypothetical Extraction Methodlinkage analysis |
spellingShingle | Clio Ciaschini Margherita Carlucci Francesco Maria Chelli Giuseppe Ricciardo Lamonica Luca Salvati The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output Tables Economies Input–Output regionalization Hypothetical Extraction Method linkage analysis |
title | The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output Tables |
title_full | The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output Tables |
title_fullStr | The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output Tables |
title_full_unstemmed | The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output Tables |
title_short | The Industrial Pattern of Italian Regions: A Disaggregated Sectoral Analysis Based on Input–Output Tables |
title_sort | industrial pattern of italian regions a disaggregated sectoral analysis based on input output tables |
topic | Input–Output regionalization Hypothetical Extraction Method linkage analysis |
url | https://www.mdpi.com/2227-7099/10/12/300 |
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