Pub Date : 2024-11-05DOI: 10.1016/j.pirs.2024.100062
Maria Candelaria Barrios González , Maja Jandrić , Dejan Molnar , Svetozar Tanasković
The paper investigates the effects of internal migration flows on regional convergence in Serbia, a country with large regional disparities, during the period 2000–2018. For this purpose, we implement both the net and the gross (in- and out-) migration approaches. We undertake separate analyses for different categories of the migrant population to explore the impact of migrations involving different levels of human capital. The results show that internal migration flows between NUTS3 units in the observed period mainly fostered divergence, thus contradicting the neoclassical theory. This effect is especially pronounced when considering migrations of the active population and prime-age specialists.
{"title":"The effects of internal migration on regional convergence: Evidence from Serbia","authors":"Maria Candelaria Barrios González , Maja Jandrić , Dejan Molnar , Svetozar Tanasković","doi":"10.1016/j.pirs.2024.100062","DOIUrl":"10.1016/j.pirs.2024.100062","url":null,"abstract":"<div><div>The paper investigates the effects of internal migration flows on regional convergence in Serbia, a country with large regional disparities, during the period 2000–2018. For this purpose, we implement both the net and the gross (in- and out-) migration approaches. We undertake separate analyses for different categories of the migrant population to explore the impact of migrations involving different levels of human capital. The results show that internal migration flows between NUTS3 units in the observed period mainly fostered divergence, thus contradicting the neoclassical theory. This effect is especially pronounced when considering migrations of the active population and prime-age specialists.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"103 6","pages":"Article 100062"},"PeriodicalIF":2.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142592922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-04DOI: 10.1016/j.pirs.2024.100059
Shijia Lin , Xinyi Niu
In the context of technological progress and economic transition, the urban spatial structure has consistently undergone dynamic evolution. However, the trajectories of polycentric patterns display significant national and regional variations. It is crucial to examine the dynamic evolution of spatial structures within Chinese metropolitan areas amidst economic transitions. Focusing on the Shanghai Metropolitan Area (SMA), this study investigates the temporal dynamics of job distribution and employment centres and considers industry differentiation to understand the evolution of polycentric patterns. Additionally, spatial regression models are utilized to probe the intrinsic mechanisms through which adjustments in industrial structure influence spatial evolution. The findings indicate that both the service and manufacturing sectors have the potential to concentrate employment and form subcentres in the SMA. Nevertheless, within the economic transition context, the downtown area, dominated by the service sector, underwent specialized development, fostering continuous prosperity and the emergence of employment subcentres in the periphery. In contrast, employment centres in suburban areas, dominated by the manufacturing sector, experienced a declining trend. Consequently, the locations of employment clusters in the SMA shifted, concurrently reshaping the relationships between the main centre and subcentres and leading to a transformation from a weaker separated polycentric pattern to a stronger continuous polycentric pattern. This paper elucidates the underlying mechanisms through which industrial transition influences urban spatial structure, offering insights into the evolution of polycentric patterns in the postindustrial era from a local Chinese perspective.
{"title":"A longitudinal study of evolving polycentric pattern in Shanghai","authors":"Shijia Lin , Xinyi Niu","doi":"10.1016/j.pirs.2024.100059","DOIUrl":"10.1016/j.pirs.2024.100059","url":null,"abstract":"<div><div>In the context of technological progress and economic transition, the urban spatial structure has consistently undergone dynamic evolution. However, the trajectories of polycentric patterns display significant national and regional variations. It is crucial to examine the dynamic evolution of spatial structures within Chinese metropolitan areas amidst economic transitions. Focusing on the Shanghai Metropolitan Area (SMA), this study investigates the temporal dynamics of job distribution and employment centres and considers industry differentiation to understand the evolution of polycentric patterns. Additionally, spatial regression models are utilized to probe the intrinsic mechanisms through which adjustments in industrial structure influence spatial evolution. The findings indicate that both the service and manufacturing sectors have the potential to concentrate employment and form subcentres in the SMA. Nevertheless, within the economic transition context, the downtown area, dominated by the service sector, underwent specialized development, fostering continuous prosperity and the emergence of employment subcentres in the periphery. In contrast, employment centres in suburban areas, dominated by the manufacturing sector, experienced a declining trend. Consequently, the locations of employment clusters in the SMA shifted, concurrently reshaping the relationships between the main centre and subcentres and leading to a transformation from a weaker separated polycentric pattern to a stronger continuous polycentric pattern. This paper elucidates the underlying mechanisms through which industrial transition influences urban spatial structure, offering insights into the evolution of polycentric patterns in the postindustrial era from a local Chinese perspective.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"103 6","pages":"Article 100059"},"PeriodicalIF":2.4,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-04DOI: 10.1016/j.pirs.2024.100058
Giovanni Baiocchetti , Francesco Scotti , Pasquale Lelio Iapadre
We investigate the economic impact of the 2009 earthquake in the L’Aquila labour market area (Italy) through a synthetic difference-in-differences method applied to the 2004–2013 period. The shock immediately disrupted the local economy with a 27.3 % and 38.2 % reduction in employment and the number of firms. However, these effects are not statistically significant when measured 5 years after the earthquake, suggesting that a rebound process affected both dimensions. Such findings are the result of heterogeneous dynamics across the manufacturing and service sectors: the former showed a prolonged contraction in the number of employees and firms, whereas the latter experienced a strong recovery after a short-term negative effect. These dynamics have induced an increase in L’Aquila’s sector dissimilarity from other local labour market areas in Italy.
{"title":"The impact of natural disasters: How the 2009 earthquake transformed the economy of L’Aquila’s labour market area","authors":"Giovanni Baiocchetti , Francesco Scotti , Pasquale Lelio Iapadre","doi":"10.1016/j.pirs.2024.100058","DOIUrl":"10.1016/j.pirs.2024.100058","url":null,"abstract":"<div><div>We investigate the economic impact of the 2009 earthquake in the L’Aquila labour market area (Italy) through a synthetic difference-in-differences method applied to the 2004–2013 period. The shock immediately disrupted the local economy with a 27.3 % and 38.2 % reduction in employment and the number of firms. However, these effects are not statistically significant when measured 5 years after the earthquake, suggesting that a rebound process affected both dimensions. Such findings are the result of heterogeneous dynamics across the manufacturing and service sectors: the former showed a prolonged contraction in the number of employees and firms, whereas the latter experienced a strong recovery after a short-term negative effect. These dynamics have induced an increase in L’Aquila’s sector dissimilarity from other local labour market areas in Italy.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"103 6","pages":"Article 100058"},"PeriodicalIF":2.4,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-18DOI: 10.1016/j.pirs.2024.100057
Spyros Niavis, Dimitris Kallioras, George Petrakos
Interreg is an instrument of Cohesion Policy promoting cooperation among different organizations of Europe to tackle common challenges. Project funding within Interreg could become competitive, given the strong interest from numerous institutions in participating. This, in turn, may lead to disparities in the number of projects implemented across European regions. If participation is driven by factors such as the economic development level of regions, then the fundamental aim of Cohesion Policy—to reduce the gaps between developed and lagging regions—may not be well served by Interreg, as existing gaps may be exacerbated. Given this issue, the paper focuses on the 12 Interreg transnational programmes, which bring together regions from many different countries. The paper examines the distributional characteristics of these programmes using conventional statistical and network measures with data from the 2014–2020 programming period. It then develops a novel indicator of regional participation levels and constructs and empirically tests a framework for measuring the effect of various socioeconomic, geographical, and demographic factors on the participation levels of EU regions. The analysis reveals differences in the allocation patterns of projects among the programmes and shows that different types of networks are formed. Additionally, the instrument appears to benefit smaller and wealthier regions, which results in counteracting demographic inequalities but simultaneously augmenting economic ones. To address this challenge, the paper provides recommendations for management authorities to make the formation of partnerships more equitable.
{"title":"The distributional characteristics of Interreg Transnational Programmes and their role in promoting regional cohesion","authors":"Spyros Niavis, Dimitris Kallioras, George Petrakos","doi":"10.1016/j.pirs.2024.100057","DOIUrl":"10.1016/j.pirs.2024.100057","url":null,"abstract":"<div><div>Interreg is an instrument of Cohesion Policy promoting cooperation among different organizations of Europe to tackle common challenges. Project funding within Interreg could become competitive, given the strong interest from numerous institutions in participating. This, in turn, may lead to disparities in the number of projects implemented across European regions. If participation is driven by factors such as the economic development level of regions, then the fundamental aim of Cohesion Policy—to reduce the gaps between developed and lagging regions—may not be well served by Interreg, as existing gaps may be exacerbated. Given this issue, the paper focuses on the 12 Interreg transnational programmes, which bring together regions from many different countries. The paper examines the distributional characteristics of these programmes using conventional statistical and network measures with data from the 2014–2020 programming period. It then develops a novel indicator of regional participation levels and constructs and empirically tests a framework for measuring the effect of various socioeconomic, geographical, and demographic factors on the participation levels of EU regions. The analysis reveals differences in the allocation patterns of projects among the programmes and shows that different types of networks are formed. Additionally, the instrument appears to benefit smaller and wealthier regions, which results in counteracting demographic inequalities but simultaneously augmenting economic ones. To address this challenge, the paper provides recommendations for management authorities to make the formation of partnerships more equitable.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"103 6","pages":"Article 100057"},"PeriodicalIF":2.4,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142530910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-28DOI: 10.1016/j.pirs.2024.100053
Giorgio Fazio , Sara Maioli , Nirat Rujimora
This paper assesses the transition of UK regions towards the policy ambitions of “building back greener” and “levelling-up” the UK economy. We use data envelopment analysis (DEA) methods to calculate regional economic and environmental efficiency for 41 UK ITL2 regions between 2005 and 2020, and then assess their “unconditional” and “spatial” transition probabilities of improving one of the two efficiencies or both. We find evidence of a trade-off between the two for more than half of the regions and that the costs of transition are unequally distributed. We also find that regions are more likely to become efficient in both directions if they are already environmentally efficient; less economically efficient regions are more likely to become economically efficient than environmentally efficient. Economic efficiency improvements are easier to achieve than environmental efficiency improvements, requiring stronger policy support for the latter. The high inertia of regions requires central and local authorities’ intervention to reduce regional inequalities and improve both types of efficiency. Whilst we do not find evidence of spatial spillovers for environmental transitions, space (negatively) matters for regional economic efficiency. Without a combination of place-based and national policies, there is no natural regional convergence nor levelling up, whilst the transition to net zero will remain too slow.
{"title":"Building back greener, levelling-up or both? An assessment of the economic and environmental efficiency transition of UK regions","authors":"Giorgio Fazio , Sara Maioli , Nirat Rujimora","doi":"10.1016/j.pirs.2024.100053","DOIUrl":"10.1016/j.pirs.2024.100053","url":null,"abstract":"<div><div>This paper assesses the transition of UK regions towards the policy ambitions of “building back greener” and “levelling-up” the UK economy. We use data envelopment analysis (DEA) methods to calculate regional economic and environmental efficiency for 41 UK ITL2 regions between 2005 and 2020, and then assess their “unconditional” and “spatial” transition probabilities of improving one of the two efficiencies or both. We find evidence of a trade-off between the two for more than half of the regions and that the costs of transition are unequally distributed. We also find that regions are more likely to become efficient in both directions if they are already environmentally efficient; less economically efficient regions are more likely to become economically efficient than environmentally efficient. Economic efficiency improvements are easier to achieve than environmental efficiency improvements, requiring stronger policy support for the latter. The high inertia of regions requires central and local authorities’ intervention to reduce regional inequalities and improve both types of efficiency. Whilst we do not find evidence of spatial spillovers for environmental transitions, space (negatively) matters for regional economic efficiency. Without a combination of place-based and national policies, there is no natural regional convergence nor levelling up, whilst the transition to net zero will remain too slow.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"103 6","pages":"Article 100053"},"PeriodicalIF":2.4,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1016/j.pirs.2024.100052
Francesco Cappellano , Anabela M. Santos , Nicola Francesco Dotti
This paper analyses how EU regions have aligned their innovation and policy endeavours to tackle exposure to the effects of Climate Change at regional level. Scholars hailed the need to orienting efforts and resources to tackle societal challenges. However, we have little empirical evidence on the alignment of R&I ecosystems and policy endeavours towards tackling Climate Change. Using regression analysis, we assess the relationship between such directionality and the exposure to risk of disasters (i.e., coastal floods, river floods, and landslides) that each region faces in the short, medium, and long term due to Climate Change. Results show a positive relationship between risk projection and climate change preparedness. However, a more in-depth analysis demonstrates the complexity of such geographical "problem-solution convergence": investigating whether the EU regions most at risk of being affected by climate change are also the ones most ready to target climate change through an aligned combination of R&I and policy efforts. Findings show that more developed regions appear more ready to tackle climate change effects compared to transition and less developed regions. These findings suggest that more support is needed for less developed regions facing major Climate Change-related risks.
{"title":"Regional R&I ventures to tackle climate change: A new geography of challenge-oriented innovation landscape","authors":"Francesco Cappellano , Anabela M. Santos , Nicola Francesco Dotti","doi":"10.1016/j.pirs.2024.100052","DOIUrl":"10.1016/j.pirs.2024.100052","url":null,"abstract":"<div><div>This paper analyses how EU regions have aligned their innovation and policy endeavours to tackle exposure to the effects of Climate Change at regional level. Scholars hailed the need to orienting efforts and resources to tackle societal challenges. However, we have little empirical evidence on the alignment of R&I ecosystems and policy endeavours towards tackling Climate Change. Using regression analysis, we assess the relationship between such directionality and the exposure to risk of disasters (i.e., coastal floods, river floods, and landslides) that each region faces in the short, medium, and long term due to Climate Change. Results show a positive relationship between risk projection and climate change preparedness. However, a more in-depth analysis demonstrates the complexity of such geographical \"problem-solution convergence\": investigating whether the EU regions most at risk of being affected by climate change are also the ones most ready to target climate change through an aligned combination of R&I and policy efforts. Findings show that more developed regions appear more ready to tackle climate change effects compared to transition and less developed regions. These findings suggest that more support is needed for less developed regions facing major Climate Change-related risks.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"103 5","pages":"Article 100052"},"PeriodicalIF":2.4,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1056819024000721/pdfft?md5=07906f3a5552d50f21232b153f69e2d8&pid=1-s2.0-S1056819024000721-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142311654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-16DOI: 10.1016/j.pirs.2024.100050
Yoojin Yi , Euijune Kim
Despite the continuous expansion of trade and investment agreements between China and South Korea, little is known about the distribution of benefits and losses stemming from synergy and competition at the regional level. This paper aims to investigate the complementary and competitive interactions among 14 economic regions of the two countries concerning bilateral export scale. Using a Dendrinos-Sonis model based on a zero-sum structure, we analyzed the interregional trade patterns between the two countries from 2002 to 2022. The evidence shows that the growth of Seoul metropolitan area is complementary to the growth of Shanghai metropolitan area in terms of regioinal export share, but not vice versa. Central Area in South Korea exhibits widespread complementarity, while Beijing metropolitan leans towards competition.
{"title":"Is Shanghai a rival to Seoul? Analysis on complementary and competitive relationships in trade","authors":"Yoojin Yi , Euijune Kim","doi":"10.1016/j.pirs.2024.100050","DOIUrl":"10.1016/j.pirs.2024.100050","url":null,"abstract":"<div><p>Despite the continuous expansion of trade and investment agreements between China and South Korea, little is known about the distribution of benefits and losses stemming from synergy and competition at the regional level. This paper aims to investigate the complementary and competitive interactions among 14 economic regions of the two countries concerning bilateral export scale. Using a Dendrinos-Sonis model based on a zero-sum structure, we analyzed the interregional trade patterns between the two countries from 2002 to 2022. The evidence shows that the growth of Seoul metropolitan area is complementary to the growth of Shanghai metropolitan area in terms of regioinal export share, but not <em>vice versa</em>. <em>Central Area</em> in South Korea exhibits widespread complementarity, while Beijing metropolitan leans towards competition.</p></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"103 6","pages":"Article 100050"},"PeriodicalIF":2.4,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1056819024000708/pdfft?md5=e2ca02a90d35c576f8b44e2347b332da&pid=1-s2.0-S1056819024000708-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142238425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-12DOI: 10.1016/j.pirs.2024.100051
Fernando de la Torre Cuevas , Michael L. Lahr , Edelmiro López-Iglesias
Regions and industries are not isolated islands; so, when evaluating productivity growth, regional and sectoral growth paths should not be expected to generate independently. Moreover, accounting for spatial interactions via econometric models has become normal practice; but modelling interindustry dependencies has not. Thus, we expand labour productivity econometric convergence models by introducing interindustry spillovers in addition to spillovers that are spatial in nature. To illustrate our findings, we present an empirical application predicated upon Galicia (extreme northwest Spain), a region posing major challenges to such modelling. Our results point to the relevance of interindustry spillovers in explaining productivity growth. Furthermore, the approach allows us to better interpret covariates that explain the different growth paths across regions and industries, thus enabling more reliable policy recommendations. We find that interindustry dependencies transmit productivity shocks across regions. In addition, our results suggest that spatial and interindustry dependencies should be considered when formulating (sub)regional economic development policies. Finally, our approach corrects possible misspecification problems that arise from data scarcity. This makes it a viable alternative for multiregional econometric tests in which some sectoral detail is needed. It is particularly useful for sets of regions where data needed to populate such models is scarce.
{"title":"Spatial and interindustry interactions in labour productivity convergence: An Industrial Journey via Galician Shires, 2010–2018","authors":"Fernando de la Torre Cuevas , Michael L. Lahr , Edelmiro López-Iglesias","doi":"10.1016/j.pirs.2024.100051","DOIUrl":"10.1016/j.pirs.2024.100051","url":null,"abstract":"<div><p>Regions and industries are not isolated islands; so, when evaluating productivity growth, regional and sectoral growth paths should not be expected to generate independently. Moreover, accounting for spatial interactions via econometric models has become normal practice; but modelling interindustry dependencies has not. Thus, we expand labour productivity econometric convergence models by introducing interindustry spillovers in addition to spillovers that are spatial in nature. To illustrate our findings, we present an empirical application predicated upon Galicia (extreme northwest Spain), a region posing major challenges to such modelling. Our results point to the relevance of interindustry spillovers in explaining productivity growth. Furthermore, the approach allows us to better interpret covariates that explain the different growth paths across regions and industries, thus enabling more reliable policy recommendations. We find that interindustry dependencies transmit productivity shocks across regions. In addition, our results suggest that spatial and interindustry dependencies should be considered when formulating (sub)regional economic development policies. Finally, our approach corrects possible misspecification problems that arise from data scarcity. This makes it a viable alternative for multiregional econometric tests in which some sectoral detail is needed. It is particularly useful for sets of regions where data needed to populate such models is scarce.</p></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"103 5","pages":"Article 100051"},"PeriodicalIF":2.4,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S105681902400071X/pdfft?md5=33f2f7869b78c8886d54b0c90ce08566&pid=1-s2.0-S105681902400071X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-05DOI: 10.1016/j.pirs.2024.100049
Paolo Coccorese
In this paper we investigate the role of EU structural funds in promoting economic growth of Italian provinces (NUTS 3), and whether a more developed local banking sector may expedite the process. We focus on total value added growth for the period 2000–2019, and employ a panel growth regression approach where a measure of funds coming from EU public programs, and spent in a given province, is interacted with a variable measuring local banking development. Our empirical results show that areas receiving structural funds have relatively higher value added growth rates when local banking markets are more developed. This evidence is robust to alternative model specifications, and holds even when we employ spatial panel models so as to account for geographic spillovers between provinces.
{"title":"EU regional policy and local economic growth: Does banking development matter?","authors":"Paolo Coccorese","doi":"10.1016/j.pirs.2024.100049","DOIUrl":"10.1016/j.pirs.2024.100049","url":null,"abstract":"<div><p>In this paper we investigate the role of EU structural funds in promoting economic growth of Italian provinces (NUTS 3), and whether a more developed local banking sector may expedite the process. We focus on total value added growth for the period 2000–2019, and employ a panel growth regression approach where a measure of funds coming from EU public programs, and spent in a given province, is interacted with a variable measuring local banking development. Our empirical results show that areas receiving structural funds have relatively higher value added growth rates when local banking markets are more developed. This evidence is robust to alternative model specifications, and holds even when we employ spatial panel models so as to account for geographic spillovers between provinces.</p></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"103 5","pages":"Article 100049"},"PeriodicalIF":2.4,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1056819024000691/pdfft?md5=6a2ef13df574447dcf8e1ded704c8f8d&pid=1-s2.0-S1056819024000691-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142151158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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