区域间研发溢出与区域趋同&来自欧盟区域的空间计量证据

Andrea Furková, M. Chocholatá
{"title":"区域间研发溢出与区域趋同&来自欧盟区域的空间计量证据","authors":"Andrea Furková, M. Chocholatá","doi":"10.24136/EQ.V12I1.1","DOIUrl":null,"url":null,"abstract":"Research background: Many contemporary empirical studies and also most of economic growth theories recognize the importance of innovation and knowledge for achieving an economic growth. A large part of empirical literature has treated the issue of beta convergence without the spatial aspect, i.e. the possible spatial dependence among regions or states in growth process was neglected. Purpose of the article: In this paper, we investigate the link between selected R&D (Research and Development) indicators as proxies for the regional innovation and knowledge and economic performance of the region. We also assume a significant role of regional R&D spillovers in the regional growth process determination. Methods: The main methodological basis for our analysis is beta convergence approach and the dataset under the consideration consists of 245 NUTS 2 (Nomenclature of Units for Territorial Statistics) EU (European Union) regions during the 2003–2014 period. Our anal-ysis is made with respect to spatial interactions across the EU regions. Findings & Value added: The influence of R&D indicators on the economic growth has been confirmed, and spatial interconnection across the EU regions have been proven. Potential existence of geographical R&D spillovers across the EU regions was examined by for-mulation of additional beta convergence model with spatial lag variables. We have identified that the influence of R&D spillovers is not strictly restricted to the neighbouring regions, but they spread across a larger area. For the construction of spatial lags of R&D indicators different spatial weight matrices were considered.","PeriodicalId":45768,"journal":{"name":"Equilibrium-Quarterly Journal of Economics and Economic Policy","volume":null,"pages":null},"PeriodicalIF":5.0000,"publicationDate":"2017-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"INTERREGIONAL R&D SPILLOVERS AND REGIONAL CONVERGENCE: A SPATIAL ECONOMETRIC EVIDENCE FROM THE EU REGIONS\",\"authors\":\"Andrea Furková, M. Chocholatá\",\"doi\":\"10.24136/EQ.V12I1.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Research background: Many contemporary empirical studies and also most of economic growth theories recognize the importance of innovation and knowledge for achieving an economic growth. A large part of empirical literature has treated the issue of beta convergence without the spatial aspect, i.e. the possible spatial dependence among regions or states in growth process was neglected. Purpose of the article: In this paper, we investigate the link between selected R&D (Research and Development) indicators as proxies for the regional innovation and knowledge and economic performance of the region. We also assume a significant role of regional R&D spillovers in the regional growth process determination. Methods: The main methodological basis for our analysis is beta convergence approach and the dataset under the consideration consists of 245 NUTS 2 (Nomenclature of Units for Territorial Statistics) EU (European Union) regions during the 2003–2014 period. Our anal-ysis is made with respect to spatial interactions across the EU regions. Findings & Value added: The influence of R&D indicators on the economic growth has been confirmed, and spatial interconnection across the EU regions have been proven. Potential existence of geographical R&D spillovers across the EU regions was examined by for-mulation of additional beta convergence model with spatial lag variables. We have identified that the influence of R&D spillovers is not strictly restricted to the neighbouring regions, but they spread across a larger area. For the construction of spatial lags of R&D indicators different spatial weight matrices were considered.\",\"PeriodicalId\":45768,\"journal\":{\"name\":\"Equilibrium-Quarterly Journal of Economics and Economic Policy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2017-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Equilibrium-Quarterly Journal of Economics and Economic Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24136/EQ.V12I1.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Equilibrium-Quarterly Journal of Economics and Economic Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24136/EQ.V12I1.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 13

摘要

研究背景:当代许多实证研究以及大多数经济增长理论都认识到创新和知识对实现经济增长的重要性。大部分实证文献在没有空间方面的情况下处理了贝塔收敛问题,即忽略了增长过程中区域或状态之间可能的空间依赖性。本文的目的:在本文中,我们调查了作为区域创新指标的选定研发指标与该地区知识和经济绩效之间的联系。我们还假设区域研发溢出效应在区域增长过程决定中发挥着重要作用。方法:我们分析的主要方法论基础是贝塔收敛法,所考虑的数据集由2003-2014年期间的245个NUTS 2(领土统计单位命名法)欧盟(欧盟)地区组成。我们对欧盟各地区的空间互动进行了分析。研究结果与附加值:研发指标对经济增长的影响已得到证实,欧盟各地区的空间互联互通也已得到证实。通过模拟具有空间滞后变量的附加贝塔收敛模型,考察了欧盟各地区地理研发溢出的潜在存在。我们已经发现,研发溢出效应的影响并不严格局限于邻近地区,而是蔓延到更大的地区。对于研发指标空间滞后的构建,考虑了不同的空间权重矩阵。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
INTERREGIONAL R&D SPILLOVERS AND REGIONAL CONVERGENCE: A SPATIAL ECONOMETRIC EVIDENCE FROM THE EU REGIONS
Research background: Many contemporary empirical studies and also most of economic growth theories recognize the importance of innovation and knowledge for achieving an economic growth. A large part of empirical literature has treated the issue of beta convergence without the spatial aspect, i.e. the possible spatial dependence among regions or states in growth process was neglected. Purpose of the article: In this paper, we investigate the link between selected R&D (Research and Development) indicators as proxies for the regional innovation and knowledge and economic performance of the region. We also assume a significant role of regional R&D spillovers in the regional growth process determination. Methods: The main methodological basis for our analysis is beta convergence approach and the dataset under the consideration consists of 245 NUTS 2 (Nomenclature of Units for Territorial Statistics) EU (European Union) regions during the 2003–2014 period. Our anal-ysis is made with respect to spatial interactions across the EU regions. Findings & Value added: The influence of R&D indicators on the economic growth has been confirmed, and spatial interconnection across the EU regions have been proven. Potential existence of geographical R&D spillovers across the EU regions was examined by for-mulation of additional beta convergence model with spatial lag variables. We have identified that the influence of R&D spillovers is not strictly restricted to the neighbouring regions, but they spread across a larger area. For the construction of spatial lags of R&D indicators different spatial weight matrices were considered.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
9.20
自引率
3.50%
发文量
28
审稿时长
36 weeks
期刊介绍: Equilibrium. Quarterly Journal of Economics and Economic Policy is a scientific journal dedicated to economics, which is the result of close cooperation between the Instytut Badań Gospodarczych/Institute of Economic Research (Poland) and Polish Economic Society and leading European universities. The journal constitutes a platform for exchange of views of the scientific community, as well as reflects the current status and trends of world science and economy. The journal especially welcome empirical articles making use of quantitative methods in: Macroeconomics and Monetary Economics, International Economics, Financial Economics and Banking, Public Economics, Business Economics, Labor and Demographic Economics, Economic Development, and Technological Change, and Growth. Current most preferable topics and special issues: The economics of artificial intelligence: business potentials and risks; Digitalization and entrepreneurship in economics; Sustainable socio-economic development, environmental and ecological economics; Transition in the energy market (improving energy efficiency, alternative energy sources, renewable energy, energy security).
期刊最新文献
The impact of financial speculation on futures contracts price movements: A study of the US markets for dairy commodities E-customer preferences on sustainable last mile deliveries in the e-commerce market: A cross-generational perspective Global energy transition: From the main determinants to economic challenges regions IFRS innovation, governance practices and firm performance: A new empirical assessment of moderating effects across GCC region The impact of corporate reputation and social media engagement on the sustainability of SMEs: Perceptions of top managers and the owners
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1