{"title":"Relatedness, Economic Complexity, and Convergence Across European Regions","authors":"T. Buccellato, Giancarlo Corò","doi":"10.2139/ssrn.3395199","DOIUrl":null,"url":null,"abstract":"The aim of this paper is to analyze how the heterogeneous structure of the European regions has affected their patterns of convergence or divergence. We analyse data collected by Eurostat, from a balanced panel of 191 regions and 55 economic branches over the period 2003–2015. In this way, we are able to describe and capture technological proximity across the regions and analyse how it has evolved over space and time. Limiting the analysis to the manufacturing activities, we are also able to measure the degree of economic complexity of the regional production systems and assess how this affects their patterns of growth.","PeriodicalId":85755,"journal":{"name":"The Malayan economic review : the journal of the Economic Society of Singapore, the Department of Economics and Statistics and the Economic Research Centre of the University of Singapore","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Malayan economic review : the journal of the Economic Society of Singapore, the Department of Economics and Statistics and the Economic Research Centre of the University of Singapore","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3395199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

The aim of this paper is to analyze how the heterogeneous structure of the European regions has affected their patterns of convergence or divergence. We analyse data collected by Eurostat, from a balanced panel of 191 regions and 55 economic branches over the period 2003–2015. In this way, we are able to describe and capture technological proximity across the regions and analyse how it has evolved over space and time. Limiting the analysis to the manufacturing activities, we are also able to measure the degree of economic complexity of the regional production systems and assess how this affects their patterns of growth.
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欧洲地区的关联性、经济复杂性和趋同
本文的目的是分析欧洲地区的异质结构如何影响它们的趋同或分化模式。我们分析了欧盟统计局收集的数据,这些数据来自2003-2015年期间191个地区和55个经济部门的平衡面板。通过这种方式,我们能够描述和捕捉各个地区的技术接近性,并分析它是如何随时间和空间演变的。将分析局限于制造业活动,我们也能够衡量区域生产系统的经济复杂性程度,并评估这如何影响其增长模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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