{"title":"Potentials for Reducing Spatial Inequalities in Innovation: A Spatial Econometric Perspective","authors":"Theresa Bürscher, Thomas Scherngell","doi":"10.1111/grow.70001","DOIUrl":null,"url":null,"abstract":"<p>This study explains disparities in regional innovation through specific features of regional knowledge bases, including recently discussed concepts such as, technological relatedness, knowledge complexity, and technological complementarity among neighboring regions and regions connected in R&D networks. We employ a spatial autoregressive panel model for 405 European regions to estimate the effects of these characteristics. While being connected to complementary regions and having a high region-internal technological relatedness are conducive to regional innovation, knowledge complexity has no positive effect interestingly. In illustrative convergence scenarios, we demonstrate the potential of increasing relatedness and complementarity to reduce inequalities in Europe, pointing to important policy implications.</p>","PeriodicalId":47545,"journal":{"name":"Growth and Change","volume":"55 4","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/grow.70001","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Growth and Change","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/grow.70001","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEVELOPMENT STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
This study explains disparities in regional innovation through specific features of regional knowledge bases, including recently discussed concepts such as, technological relatedness, knowledge complexity, and technological complementarity among neighboring regions and regions connected in R&D networks. We employ a spatial autoregressive panel model for 405 European regions to estimate the effects of these characteristics. While being connected to complementary regions and having a high region-internal technological relatedness are conducive to regional innovation, knowledge complexity has no positive effect interestingly. In illustrative convergence scenarios, we demonstrate the potential of increasing relatedness and complementarity to reduce inequalities in Europe, pointing to important policy implications.
期刊介绍：
Growth and Change is a broadly based forum for scholarly research on all aspects of urban and regional development and policy-making. Interdisciplinary in scope, the journal publishes both empirical and theoretical contributions from economics, geography, public finance, urban and regional planning, agricultural economics, public policy, and related fields. These include full-length research articles, Perspectives (contemporary assessments and views on significant issues in urban and regional development) as well as critical book reviews.
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