{"title":"Gender differences in distance dependence of internal migration","authors":"Tatsuya Kusumi","doi":"10.1016/j.pirs.2025.100114","DOIUrl":"10.1016/j.pirs.2025.100114","url":null,"abstract":"<div><div>Distance is a primary deterrent to welfare-improving migration, yet less is known about how this deterrent effect varies across individuals. This study investigates gender differences in the distance dependence of internal migration. Analyzing rich, individual-level panel data from Japan with a multinomial choice model, we find a significant gender difference: women are less deterred by distance than men, ceteris paribus. This result, which stands in stark contrast to observations from aggregate data, is uncovered only after using microdata to control for the confounding effects of socioeconomic attributes such as education and employment. Our findings challenge common assumptions about migration patterns and suggest that population-attraction policies may need to be gender-specific.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 5","pages":"Article 100114"},"PeriodicalIF":2.3,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Unpacking the black box of knowledge externalities: intra-MNE networks vs. spatial spillovers","authors":"Andrea Ascani , Luca Bettarelli , Laura Resmini","doi":"10.1016/j.pirs.2025.100115","DOIUrl":"10.1016/j.pirs.2025.100115","url":null,"abstract":"<div><div>Combining economic geography and international business literature on Multinational Enterprises (MNEs), we explore knowledge dissemination patterns within and across NUTS-3 regions. Our results, based on Italy, indicate that external knowledge collected by MNEs through their network of subsidiaries abroad is positively associated with the innovative output of the regions of origin of MNEs. Moreover, its diffusion over space occurs through two intra-firm mechanisms: one involving MNEs and their domestic affiliates, and the other involving indigenous firms co-located with MNEs and owning other firms in different regions. The intensity of these mechanisms strongly depends on the technological space in which firms operate.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 5","pages":"Article 100115"},"PeriodicalIF":2.3,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Housing market investment in peripheral areas: Evidence from Italy","authors":"Giuseppe Pernagallo , Giampaolo Vitali","doi":"10.1016/j.pirs.2025.100113","DOIUrl":"10.1016/j.pirs.2025.100113","url":null,"abstract":"<div><div>The causal relationship between living in a peripheral area and real estate investment decisions is currently unexplored in empirical literature. Using survey data on 2711 Italian respondents collected between 2022 and 2023, we show that living in a peripheral area has a negative impact on the probability of having invested or investing in real estate in the future. OLS estimates suggest that being in a peripheral area reduces the likelihood of having invested in real estate in the last 24 months by about 3–4 percent and the likelihood of investing in real estate in the next 24 months by about 4–6 percent. These results are robust, having tried different models (OLS, probit, bivariate probit, and rare events logistic regression), different control variables, and also an instrumental variable approach to control for the potential endogeneity of homeownership. In this regard, our work introduces a new instrument to tackle the endogeneity problem of homeownership: hereditary motivation to purchase a home. The instrument has all the necessary characteristics to address this problem, such as a very strong first stage. Finally, we adopt a new machine learning algorithm, ABESS, to show the importance of including residence in a peripheral area as an explanatory variable and to select the best subset. This approach could also be exploited in further real estate and regional studies.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 5","pages":"Article 100113"},"PeriodicalIF":2.3,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessing the local cost of urban climate resilience: An analysis of the Financial District and Seaport Climate Resilience (FiDi) Master Plan","authors":"Caroline Welter, Daniel Centuriao","doi":"10.1016/j.pirs.2025.100110","DOIUrl":"10.1016/j.pirs.2025.100110","url":null,"abstract":"<div><div>Cities worldwide face increasing challenges in adapting to the devastating effects of severe weather events, including flooding, hurricanes, and rising temperatures. New York City, severely impacted by Hurricane Sandy in 2012, has developed the Financial District and Seaport Climate Resilience Master Plan (FiDi) as part of its effort to enhance climate resilience in Lower Manhattan. This study evaluates the local economic, environmental, and fiscal impacts of implementing this plan, which represents a US$5 to US$7 billion investment over 10 to 15 years. Using a multi-regional input–output (MRIO) modeling approach, we capture the economic interactions between Lower Manhattan and other New York City boroughs, as well as spillover effects across New York State. We address the substantial uncertainties surrounding the plan’s execution by integrating the S-curve framework to simulate financial disbursement patterns over time. This framework allows for periodic cost–benefit analysis. Our results indicate that the FiDi plan might generate significant net economic benefits, though concentrated environmental impacts occur during specific implementation phases. Tax revenue effects reveal opportunities for enhanced coordination among federal, state, and local governments to support urban resilience initiatives. This research contributes to the literature by demonstrating the utility of combining MRIO modeling with the S-curve framework to address financial uncertainties and assess large-scale infrastructure projects before their implementation. It also offers a replicable framework for ex-ante simulation of the economic and environmental trade-offs of climate resilience projects in cities globally.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 5","pages":"Article 100110"},"PeriodicalIF":2.3,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144903941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Manufacturing automation and its implications for local employment outcomes: Evidence from Sweden","authors":"Peter Njekwa Ryberg","doi":"10.1016/j.pirs.2025.100112","DOIUrl":"10.1016/j.pirs.2025.100112","url":null,"abstract":"<div><div>This study examines the relationship between firm-level automation in manufacturing and local labor market employment outcomes using 2001–2022 Swedish linked employer-employee data. I utilize a shift-share instrumental variable approach and obtain robust results that automation affects employment both directly in automating firms and indirectly in nonautomating firms and nonmanufacturing firms. Firms that embrace automation experience employment growth. These gains come at the expense of employment losses in nonautomating firms and other sectors, as labor flows in response to the shift in labor demand. By introducing regional heterogeneous impacts, this study further shows that the effects of automation differ across local labor markets because of the uneven spatiotemporal diffusion of automation technologies. The results outlined in this study shed light on the mechanisms underlying the uneven impacts of automation-induced structural change, both within and across regional economies.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 5","pages":"Article 100112"},"PeriodicalIF":2.3,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144909057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A novel method for estimating multiregional input-output tables using data at different aggregation levels","authors":"Jonas Westin","doi":"10.1016/j.pirs.2025.100111","DOIUrl":"10.1016/j.pirs.2025.100111","url":null,"abstract":"<div><div>Estimating MRIO tables is often hindered by limited access to regional data. The paper presents a novel method for estimating interregional trade matrices based on a gravity-RAS approach using survey and non-survey data at different aggregation levels. The new aggregate-disaggregate-aggregate RAS method combines estimation of à priori matrices using aggregated survey data with RAS balancing using disaggregated non-survey data for multiple commodities. The paper uses data from the Swedish Commodity Flow Survey to showcase the method's potential to improve estimations of multiregional trade matrices, highlighting trade-offs between aggregation bias and sampling errors. The performance of the method is evaluated using Monte Carlo simulation in an approach that simulates both trade matrices comprised of multiple commodities and a data sampling process for collecting CFS data. Simulation results indicate that RAS balancing at a disaggregated level can significantly improve model accuracy compared to both aggregated and disaggregated methods, highlighting the effectiveness of disaggregate-level RAS balancing. The method is demonstrated using a case study based on Swedish Commodity Flow Survey data, which also illustrates common challenges in MRIO construction under real-world data constraints.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 5","pages":"Article 100111"},"PeriodicalIF":2.3,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roberta Capello, Kenneth Castillo-Hidalgo, Giovanni Perucca
{"title":"Regional income redistribution in an era of rising market concentration","authors":"Roberta Capello, Kenneth Castillo-Hidalgo, Giovanni Perucca","doi":"10.1016/j.pirs.2025.100106","DOIUrl":"10.1016/j.pirs.2025.100106","url":null,"abstract":"<div><div>Starting from the superstar firm hypothesis of Autor et al. (2020), the paper conceptually analyses the regional industrial market power-induced effect on profit shares elaborating on the role of space. Our idea is that an industrial market power-induced effect exists, but this is heterogeneous across regions due to: i) the different capacity of regions to host superstar firms; ii) the multiplicative negative effects on inequalities that propagate in the area through the local <em>filière</em> of companies. We test these assumptions in European Union regions, thanks to a micro-level approach able to capture the real income redistribution between capital and labor remuneration, in different regions. The industry market power-induced effect on profit share is estimated for 82 industries competing at European level, observed between 2013 and 2019. Our findings suggest that the increase in the firms’ profit share is positively affected by an increasing industrial market power, and that this is higher, the larger the number of superstar firms located in the region. This effect is more intense in regions highly specialized in the same industry as the superstar firms located there.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 4","pages":"Article 100106"},"PeriodicalIF":2.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144739058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adolescence socioeconomic segregation and high-skill jobs in adulthood","authors":"Sofia Wixe , Charlotta Mellander , José Lobo","doi":"10.1016/j.pirs.2025.100108","DOIUrl":"10.1016/j.pirs.2025.100108","url":null,"abstract":"<div><div>The influence of neighborhood environments on children’s future outcomes has attracted significant scholarly attention in recent years. This study contributes to the existing literature by examining how neighborhood segregation during adolescence affects the likelihood of securing a high-skill occupation in adulthood. Utilizing comprehensive Swedish microdata, we control for intergenerational persistence in labor market outcomes and cognitive abilities through military enlistment data. Our findings show that growing up in neighborhoods characterized by high poverty and low educational attainment reduces the probability of pursuing jobs that require advanced higher education. In contrast, obtaining managerial positions seems less influenced by socioeconomic background. Furthermore, our findings reveal that obtaining a higher education and relocating to metropolitan areas can help mitigate neighborhood disadvantages, underscoring the importance of spatial mobility and access to university studies for disadvantaged youth. However, socioeconomic disadvantages at the family level remain persistent and challenging to overcome.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 4","pages":"Article 100108"},"PeriodicalIF":2.4,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miguel Ángel Almazán-Gómez , Carlos Llano , Julián Pérez , Dimitris Kallioras , Maria Tsiapa
{"title":"Regional economic impact of the Next Generation European Union recovery plan","authors":"Miguel Ángel Almazán-Gómez , Carlos Llano , Julián Pérez , Dimitris Kallioras , Maria Tsiapa","doi":"10.1016/j.pirs.2025.100105","DOIUrl":"10.1016/j.pirs.2025.100105","url":null,"abstract":"<div><div>This paper analyzes the economic impact of the Next Generation Funds package of the European Union (NGEU), focusing on the allocation of NGEU funds across European regions and the impact on rent distribution using new datasets on direct investments and remittances. Employing the input-output framework this work assesses the effects of the pandemic and the implications of NGEU funds, considering two alternative scenarios of sectoral and regional allocation, and a second round of rent distribution. The analysis reveals that the positive effects of the NGEU are largely overshadowed by the negative impacts of pandemic in most regions. Additionally, when considering the final redistributive effect, including interregional capital and remittance flows, the spatial pattern shifts, indicating that despite overall improvements, core regions capture rents from peripheral regions, leading to anti-cohesion outcomes. These results prompt further investigation into the role of NGEU in regional recovery and cohesion, suggesting additional research into rent distribution and the long-term economic impacts.</div></div>","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":"104 4","pages":"Article 100105"},"PeriodicalIF":2.4,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144653025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}