Regional Studies最新文献

{"title":"The entrepreneurial ecosystem: A global perspective","authors":"Angelo Cavallo","doi":"10.1080/00343404.2023.2273126","DOIUrl":"https://doi.org/10.1080/00343404.2023.2273126","url":null,"abstract":"Published in Regional Studies (Ahead of Print, 2023)","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"128 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138520814","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}

{"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}

{"title":"Public policies for territorial cohesion","authors":"Jacek Zaucha","doi":"10.1080/00343404.2023.2273114","DOIUrl":"https://doi.org/10.1080/00343404.2023.2273114","url":null,"abstract":"Published in Regional Studies (Ahead of Print, 2023)","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"36 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138520874","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}

{"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}

{"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}

{"title":"Regional Studies","authors":"","doi":"10.1080/00343404.2023.2273150","DOIUrl":"https://doi.org/10.1080/00343404.2023.2273150","url":null,"abstract":"","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"34 23","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134992672","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}

{"title":"Contents of volume 57","authors":"","doi":"10.1080/00343404.2023.2273152","DOIUrl":"https://doi.org/10.1080/00343404.2023.2273152","url":null,"abstract":"","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"35 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134992668","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}

{"title":"Ports as catalysts: spillover effects of neighbouring ports on regional industrial diversification and economic resilience","authors":"Jung-In Yeon, Sojung Hwang, Bogang Jun","doi":"10.1080/00343404.2023.2268174","DOIUrl":"https://doi.org/10.1080/00343404.2023.2268174","url":null,"abstract":"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.","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"61 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136347604","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}

{"title":"The effect of CEO locality on the cost of debt financing: the role of regional heterogeneity","authors":"Yan Tong, Yuan Tian, Zhangfan Cao","doi":"10.1080/00343404.2023.2267585","DOIUrl":"https://doi.org/10.1080/00343404.2023.2267585","url":null,"abstract":"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].","PeriodicalId":21097,"journal":{"name":"Regional Studies","volume":"96 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135092558","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}

{"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}