Pub Date : 2023-11-22DOI: 10.1080/00343404.2023.2273126
Angelo Cavallo
Published in Regional Studies (Ahead of Print, 2023)
发表于《区域研究》(2023年出版前)
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Pub Date : 2023-11-22DOI: 10.1080/00343404.2023.2271516
Ivan De Noni, Andrea Ganzaroli
Interregional technological collaboration stands as a pivotal policy tool within the European strategy aimed at fortifying smart and sustainable regional growth. Implicit within this policy framewo...
区域间技术合作是旨在加强智能和可持续区域增长的欧洲战略中的关键政策工具。这一政策框架隐含着……
{"title":"Enhancing the inventive capacity of European regions through interregional collaboration","authors":"Ivan De Noni, Andrea Ganzaroli","doi":"10.1080/00343404.2023.2271516","DOIUrl":"https://doi.org/10.1080/00343404.2023.2271516","url":null,"abstract":"Interregional technological collaboration stands as a pivotal policy tool within the European strategy aimed at fortifying smart and sustainable regional growth. Implicit within this policy framewo...","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"28 4","pages":""},"PeriodicalIF":4.6,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138520813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.1080/00343404.2023.2273113
Vincent Nadin
Published in Regional Studies (Ahead of Print, 2023)
发表于《区域研究》(2023年出版前)
{"title":"EU Cohesion Policy and spatial governance: Territorial, social and economic challenges","authors":"Vincent Nadin","doi":"10.1080/00343404.2023.2273113","DOIUrl":"https://doi.org/10.1080/00343404.2023.2273113","url":null,"abstract":"Published in Regional Studies (Ahead of Print, 2023)","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"149 3","pages":""},"PeriodicalIF":4.6,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138520815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.1080/00343404.2023.2271512
Luis Miguel Rodrigo, Luis Mateo-Peinado
We identify internal migration flows between Chilean regions and analyse migrants’ economic mobility. A data pool from National Socioeconomic Characterization Survey (CASEN) surveys was used to det...
{"title":"Internal migration and economic mobility in Chile","authors":"Luis Miguel Rodrigo, Luis Mateo-Peinado","doi":"10.1080/00343404.2023.2271512","DOIUrl":"https://doi.org/10.1080/00343404.2023.2271512","url":null,"abstract":"We identify internal migration flows between Chilean regions and analyse migrants’ economic mobility. A data pool from National Socioeconomic Characterization Survey (CASEN) surveys was used to det...","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"70 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138520816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-13DOI: 10.1080/00343404.2023.2268174
Jung-In Yeon, Sojung Hwang, Bogang Jun
ABSTRACTRecognising the intricate link between ports and regional economies, this study investigates the spillover effects of neighbouring ports on regional industrial diversification and economic resilience. Analysing South Korea’s 2006–20 export data from port and neighbouring port regions, it uncovers the unique feature of ports as a distinctive knowledge source within their port regions, mainly attributable to the respective logistic and trade systems governing similar product groups. The paper confirms that ports facilitate industrial diversification through spillover effects when it is related with the regional industries. Emphasising ports’ role in strengthening economic resilience, it highlights their significance in nurturing emerging industries post-crisis.KEYWORDS: regional developmentrelatednessindustrial diversificationknowledge spilloverglobal production networksJEL: L52O14O33R11 DISCLOSURE STATEMENTNo potential conflict of interest was reported by the authors.Notes1. To compensate for the loss of information caused by ruling out such missing values, we consider the number of ports where each region ships each product as a control variable to the regression model.2. According to the literature (Catalán et al., Citation2020; Jun et al., Citation2020), a three-way fixed-effect regression model, including a product fixed-effect term, would be a good alternative in this study. Therefore, we also conduct a three-way fixed-effect estimation using the extended version of the original two-way fixed-effect model with the two-digit product fixed effect to control the distinct characteristics of each product group at the industry level. The corresponding results are shown in Tables A5–A8 in Appendix A in the supplemental data online.3. For the period 2008–16, we apply both the forward and backward conditions, but we only apply the forward condition for 2017–18 and the backward condition for 2006–07 due to the data limitations.4. According to Hidalgo et al. (Citation2007), we can apply the revised version of the classification introduced by Leamer (Citation1984): petroleum (Leamer 1), raw materials (Leamer 2), forest products (Leamer 3), tropical agriculture (Leamer 4), animal agriculture (Leamer 5), cereals (Leamer 6), labour intensity (Leamer 7), capital intensive (Leamer8), machinery (Leamer 9) and chemicals (Leamer 10).5. In Table A6, column (8), in Appendix A in the supplemental data online, only with variables related to neighbouring ports shows a similar size of the estimator of ω compared with the result in Table 3 with no significant difference, suggesting that the knowledge spillover from ports is neither a competitive nor a substitutive effect to the typical production knowledge spillover within regions. Additional informationFundingThis project was funded by the National Research Foundation of Korea [grant numbers NRF-2022R1A2C1012895 and NRF-2022R1A5A7033499]. We also acknowledge the support from Inha University.
摘要考虑到港口与区域经济之间的复杂联系，本研究探讨了相邻港口对区域产业多元化和经济弹性的溢出效应。分析了韩国2006-20年港口和邻近港口地区的出口数据，揭示了港口作为其港口地区独特知识来源的独特特征，主要归因于管理类似产品组的各自物流和贸易系统。本文证实了港口在与区域产业相关时，通过外溢效应促进产业多元化。报告强调了港口在增强经济韧性方面的作用，强调了港口在危机后培育新兴产业方面的重要性。关键词:区域发展关联性产业多元化知识溢出全球生产网络披露声明作者未报告潜在利益冲突。为了弥补由于排除这些缺失值而造成的信息损失，我们考虑每个地区运送每种产品的港口数量作为回归模型的控制变量。根据文献(Catalán et al.， Citation2020;Jun et al.， Citation2020)，包含产品固定效应项的三方固定效应回归模型将是本研究的一个很好的选择。因此，我们也采用原有双向固定效应模型的扩展版，采用两位数的产品固定效应进行三向固定效应估计，以控制行业层面各产品组的鲜明特征。相应结果如在线补充数据附录A中的表A5-A8所示。对于2008-16年，我们同时应用了向前和向后条件，但由于数据的限制，我们只应用了2017-18年的向前条件和2006-07年的向后条件。根据Hidalgo等人(Citation2007)的说法，我们可以应用Leamer (Citation1984)引入的修订版本的分类:石油(Leamer 1)、原材料(Leamer 2)、林产品(Leamer 3)、热带农业(Leamer 4)、畜牧业(Leamer 5)、谷物(Leamer 6)、劳动强度(Leamer 7)、资本密集型(Leamer8)、机械(Leamer 9)和化学品(Leamer 10)。在在线补充数据附录A的表A6中，第(8)列中，只有与相邻港口相关的变量显示，ω的估计量与表3的结果大小相似，但没有显著差异，这表明港口的知识溢出对典型的区域内生产知识溢出既不是竞争效应，也不是替代效应。本项目由韩国国家研究基金会资助[批准号:NRF-2022R1A2C1012895和NRF-2022R1A5A7033499]。我们也感谢仁荷大学的支持。
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Pub Date : 2023-11-10DOI: 10.1080/00343404.2023.2267585
Yan Tong, Yuan Tian, Zhangfan Cao
ABSTRACTWe examine whether chief executive officer (CEO) locality affects firms’ cost of debt. Drawing upon place attachment theories suggesting individuals develop affective bonds with their hometowns, we find robust evidence that firms employing local CEOs tend to have a lower cost of debt than those with non-local CEOs. More importantly, we find that regional heterogeneity plays an important role in shaping the relationship from economic and cultural perspectives. The effect is more pronounced in regions where the economies and marketisation are less developed. Furthermore, we show that the effect of CEO locality is stronger in regions with collectivism and regions with low social trust. Our findings hold up to numerous robustness checks and endogeneity tests. Overall, our study highlights the prominent role of the geographically segmented CEO labour markets as an intrinsic but underexplored non-contractual factor for value creation.KEYWORDS: local chief executive officerslocalitycost of debtplace attachment theoryJEL: G3G10Z12 DISCLOSURE STATEMENTNo potential conflict of interest was reported by the authors.Notes1. According to the Wind database, by the end of 2021, the total outstanding bonds of Chinese firms (corporate bonds, enterprise bonds and medium-term notes) reached 20,072 trillion RMB, nearly 29 times that of 2008 (702 trillion RMB).2. Based on prior studies (Lai et al., Citation2020), board directors are likely to be from the local business circle, and therefore they tend to have more information about local CEOs in recruitment. As a result, directors are more confident and informative about their locally hired CEOs who would, in turn, face less pressure to boost short-term performance.3. We thank the anonymous reviewer for providing this suggestion about the collinearity test. In addition, in untabulated results, our stationary tests also suggest that the variable SPREAD is not seriously subject to stationarity concerns.4. In untabulated results, the correlation matrix also shows a negative and statistically significant correlation between local CEOs and the cost of debt.5. In untabulated results, as an additional test we also find that the effect of local CEO on the cost of debt is more pronounced for non-SOE firms.Additional informationFundingThis study was supported by the National Natural Science Foundation of China [grant numbers 72072012, 71972010 and 71972011] and the National Social Science Fund of China [grant number 22BGL088].
摘要本文考察了首席执行官(CEO)的局部性是否影响企业的债务成本。根据地方依恋理论，我们发现雇佣本地ceo的公司往往比雇佣非本地ceo的公司债务成本更低。更重要的是，我们发现从经济和文化的角度来看，区域异质性在形成关系中起着重要作用。这种影响在经济和市场化程度较低的地区更为明显。此外，我们发现CEO地域性的影响在集体主义和社会信任度较低的地区更强。我们的发现坚持了许多稳健性检查和内生性检验。总体而言，我们的研究强调了地理上分割的首席执行官劳动力市场作为价值创造的内在但未被充分探索的非合同因素的突出作用。关键词:地方首席执行官地方债务成本地方依附理论披露声明作者未报告潜在利益冲突。Wind数据库显示，截至2021年底，中国企业债券(公司债、企业债和中期票据)余额总额达到20072万亿元人民币，是2008年(702万亿元人民币)的近29倍。根据之前的研究(Lai et al.， Citation2020)，董事会董事很可能来自当地商界，因此他们在招聘时往往有更多关于当地ceo的信息。因此，董事们对当地聘请的首席执行官更有信心，也更了解他们，而这些首席执行官在提高短期业绩方面面临的压力也更小。我们感谢匿名审稿人提供关于共线性测试的建议。此外，在未列表的结果中，我们的平稳性检验也表明，变量SPREAD不受平稳性问题的严重影响。在未列表的结果中，相关矩阵也显示地方首席执行官与债务成本之间存在负的和统计上显著的相关关系。在未列表的结果中，作为一个额外的测试，我们还发现，在非国有企业中，地方首席执行官对债务成本的影响更为明显。本研究得到国家自然科学基金项目[批准号:72072012,71972010和71972011]和国家社会科学基金项目[批准号:22BGL088]的支持。
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ABSTRACTWe investigate whether regions’ participation to the global network of embodied R&D (GNRD) facilitates their technological diversification. Filling a gap about the role of global research and development (R&D) networks, we maintain that by patenting in pivotal GNRD industries, regions become more exposed to global knowledge and increase their capacity to diversify also in technologies less cognitively related to pre-existing ones. Using novel GNRD data, we test this using a panel (2004–19) of NUTS-2 regions for the EU-13. GNRD regional exposure positively correlates with technological diversification, mainly at the intensive margin. A higher exposure makes technological diversification less related to existing technologies, though the relationship is non-linear.KEYWORDS: relatedness; global innovation networks; diversification; revealed technological advantageJEL: O31O33R11R15 ACKNOWLEDGEMENTSWe thank the editor who handled the paper and the anonymous referees for their helpful suggestions. An earlier version of this paper was presented at the: XIX Annual Workshop of the Italian Association of Industrial Economics and Politics (SIEPI) (Virtual), 10-11 June 2021; 18th International Schumpeter Society (ISS) Conference, LUISS Rome (virtual), 8-10 July 2021; 6th Global Conference on Economic Geography, University College Dublin & Trinity College Dublin, 7-10 June 2022; and 6th Geography of Innovation Conference 2022, Universitá Bocconi, Milan, 4-7 July 2022. We are grateful to the participants of these events for their useful comments.DISCLOSURE STATEMENTNo potential conflict of interest was reported by the authors.Notes1. As will also be shown in section 3, the cognitive proximity between technologies can be measured by looking at the co-occurrence of the relative classification codes within patent documents.2. By looking at co-inventor and patent citations networks, the regional participation to patent-based global networks can in fact be easily mapped. Indeed, its relationship with regional diversification has been already investigated by recent studies (e.g., Miguelez & Moreno, Citation2018; Whittle et al., Citation2020; Balland & Boschma, Citation2021).3. Because of the discussed shortage of sufficiently fine-grained data, the construction of an interregional version of the GNRD, whose nodes are region–industries, is to date technically unfeasible. This is due to a lack of required data at the regional level, which regional modellers have already faced in the literature, and for whose solution different approaches have been proposed: such as the development of compensation methods to estimate inter-industry and interregional trade effects and of methodologies to regionalise national input–output coefficients (e.g., Flegg et al., Citation1995; McCann & Dewhurst, Citation1998; Spoerri et al., Citation2007; Bonfiglio, Citation2009; Kowalewksi, Citation2015). Still, the application of these approaches to the GNRD is impeded by the lack of fi
{"title":"Regional technological diversification and the global network of embodied R&D: evidence from the exposure of European regions","authors":"Fabrizio Fusillo, Sandro Montresor, Chiara Burlina, Alessandro Palma","doi":"10.1080/00343404.2023.2269205","DOIUrl":"https://doi.org/10.1080/00343404.2023.2269205","url":null,"abstract":"ABSTRACTWe investigate whether regions’ participation to the global network of embodied R&D (GNRD) facilitates their technological diversification. Filling a gap about the role of global research and development (R&D) networks, we maintain that by patenting in pivotal GNRD industries, regions become more exposed to global knowledge and increase their capacity to diversify also in technologies less cognitively related to pre-existing ones. Using novel GNRD data, we test this using a panel (2004–19) of NUTS-2 regions for the EU-13. GNRD regional exposure positively correlates with technological diversification, mainly at the intensive margin. A higher exposure makes technological diversification less related to existing technologies, though the relationship is non-linear.KEYWORDS: relatedness; global innovation networks; diversification; revealed technological advantageJEL: O31O33R11R15 ACKNOWLEDGEMENTSWe thank the editor who handled the paper and the anonymous referees for their helpful suggestions. An earlier version of this paper was presented at the: XIX Annual Workshop of the Italian Association of Industrial Economics and Politics (SIEPI) (Virtual), 10-11 June 2021; 18th International Schumpeter Society (ISS) Conference, LUISS Rome (virtual), 8-10 July 2021; 6th Global Conference on Economic Geography, University College Dublin & Trinity College Dublin, 7-10 June 2022; and 6th Geography of Innovation Conference 2022, Universitá Bocconi, Milan, 4-7 July 2022. We are grateful to the participants of these events for their useful comments.DISCLOSURE STATEMENTNo potential conflict of interest was reported by the authors.Notes1. As will also be shown in section 3, the cognitive proximity between technologies can be measured by looking at the co-occurrence of the relative classification codes within patent documents.2. By looking at co-inventor and patent citations networks, the regional participation to patent-based global networks can in fact be easily mapped. Indeed, its relationship with regional diversification has been already investigated by recent studies (e.g., Miguelez & Moreno, Citation2018; Whittle et al., Citation2020; Balland & Boschma, Citation2021).3. Because of the discussed shortage of sufficiently fine-grained data, the construction of an interregional version of the GNRD, whose nodes are region–industries, is to date technically unfeasible. This is due to a lack of required data at the regional level, which regional modellers have already faced in the literature, and for whose solution different approaches have been proposed: such as the development of compensation methods to estimate inter-industry and interregional trade effects and of methodologies to regionalise national input–output coefficients (e.g., Flegg et al., Citation1995; McCann & Dewhurst, Citation1998; Spoerri et al., Citation2007; Bonfiglio, Citation2009; Kowalewksi, Citation2015). Still, the application of these approaches to the GNRD is impeded by the lack of fi","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"120 45","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135137883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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