{"title":"The impact of government support on rural grocery stores—A regression discontinuity approach","authors":"Cecilia Hammarlund, Martin Nordin","doi":"10.1111/jors.12735","DOIUrl":"https://doi.org/10.1111/jors.12735","url":null,"abstract":"<p>We evaluate a place-based policy aimed at commercial service providers. In 2016, the Swedish government introduced special operating support for grocery stores in remote rural areas to slow down the process of store closures. We estimate the local causal effect in a regression discontinuity design framework using the fact that only stores located at least 15 km away from another store were eligible for the support. The results indicate a 15%–20% increase in store survival rates due to the support. For surviving stores, the effects on employment are negative, possibly due to labor-saving investments.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"156-188"},"PeriodicalIF":3.2,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12735","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143119700","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}
{"title":"Network versus spatial proximity and firm innovation: The case of the R&D service sector","authors":"Ekaterina Turkina, Anthony Frigon, David Doloreux","doi":"10.1111/jors.12734","DOIUrl":"https://doi.org/10.1111/jors.12734","url":null,"abstract":"<p>The paper analyzes the relationship between different types of proximities—network and spatial—in relation to innovation in the context of the R&D service industry. In doing so, it contributes to the recent debate in the literature on the effects of network connectivity versus geographical colocation. The paper uses original data from a survey of 145 R&D service establishments in Montreal (Canada) and their interactions with both local and nonlocal organizations. The findings of the paper indicate that collaborative networks (both local and nonlocal) have a stronger association with R&D service innovation than spatial proximity to R&D service organizations and other collaborators. However, when these two dimensions are interacted, they are shown to function as substitutes. The paper also demonstrates that the relationship between spatial proximity and networking varies across three dimensions: local versus nonlocal networking, the type of relationship (client, supplier, competitor, and research institutes and university), and the type of network connectivity—brokerage versus closure.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"135-155"},"PeriodicalIF":3.2,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116620","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":"Temperature fluctuations, climate uncertainty, and financing hindrance","authors":"Qingyang Wu, Muhammad Shahbaz, Ioannis Kyriakou","doi":"10.1111/jors.12733","DOIUrl":"https://doi.org/10.1111/jors.12733","url":null,"abstract":"<p>Undesirable temperature fluctuations pose significant financial risks for enterprises. By merging fine-grained meteorological data with a panel of publicly listed firms, we delve into the relationship between temperature volatility and financing constraints. Our analysis reveals a positive correlation between temperature fluctuations and increasingly stringent financing limitations. State-owned or large-scale enterprises endowed with greater resources and risk diversification mechanisms are more likely to counteract the adverse effects of temperature volatility. Furthermore, we furnish evidence indicating that temperature fluctuations exert a substantial influence on corporate labor productivity. In response, companies tend to expand their workforce and elevate wages during the fiscal year. Faced with dwindling income and escalating operational costs, enterprises significantly amplify their insurance expenditures. The pronounced escalation in default risk and borrowing costs could undermine investors' sanguine profit expectations, subsequently prompting declines in firms' price-to-earnings and price-to-book ratios. Our study underscores the imperative for executive management teams to prudently account for climate change-induced financing constraints when devising investment and production strategies.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"112-134"},"PeriodicalIF":3.2,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12733","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115178","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}
Anna Garashchuk, Fernando Isla-Castillo, Pablo Podadera-Rivera
{"title":"The empirical evidence of digital trends in more disadvantaged European Union regions in terms of income and population density","authors":"Anna Garashchuk, Fernando Isla-Castillo, Pablo Podadera-Rivera","doi":"10.1111/jors.12729","DOIUrl":"10.1111/jors.12729","url":null,"abstract":"<p>Remote rural and postindustrial regions are much more vulnerable to population drain in comparison with industrialized centers and capitals, due to obvious reasons such as meager job opportunities, difficulties in accessing public services in education, healthcare and transport, housing, entertainment, lack of integration with other territories and, finally, less advanced levels of digitalization. This represents an open challenge for the European Union within the framework of its Cohesion Policy. This paper analyzes the impact of digital trends, represented by the percentage of the population with access to internet and broadband and the percentage of individuals who buy goods and internet services (percentages provided by Eurostat) in less populated EU NUTS2 regions with lower income, on the crude population growth rate composed of natural changes in population and migratory flows and on the unemployment rate by applying panel data analysis. It has been possible to confirm that digitalization has a positive impact on natural changes in population in EU regions with lower economic development. On the contrary, the unemployment rate does not affect natural changes in population, but it does have a negative impact on migratory flows. The findings show that digitalization may contribute to reversing negative demographic trends in more disadvantaged EU regions in terms of income and population density.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"75-111"},"PeriodicalIF":3.2,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12729","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203890","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}
{"title":"Electoral consequences of globalization for social democratic parties across European regions","authors":"Michal Mádr","doi":"10.1111/jors.12732","DOIUrl":"https://doi.org/10.1111/jors.12732","url":null,"abstract":"<p>The paper investigates the influence of regional import shocks from low-wage countries on electoral support for European social democratic parties in 289 NUTS2 regions (2002–2022). The estimates suggest that a one standard deviation increase in the import shock from low-wage countries over an election period may lead to a decline in support for social democratic parties between 0.6 and 1.2 percentage points. Similar results also apply to imports from Asian economies, such as China and India. The negative impact on electoral support for social democratic parties is amplified in moderately industrial and predominantly rural regions. For the former, the decline in industrial employment led to a shift of social democratic voters to the radical right. In contrast, in the latter case, the relatively slower growth of employment in the tertiary and quaternary sectors and the peripheral position of these regions caused a shift to the radical left.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"43-74"},"PeriodicalIF":3.2,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12732","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143120559","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}
{"title":"The geography of intergenerational mobility in Norway: Labor market diversity, career opportunities, and gender","authors":"Lena Magnusson Turner, Terje Wessel","doi":"10.1111/jors.12731","DOIUrl":"10.1111/jors.12731","url":null,"abstract":"<p>We investigate intergenerational income mobility across labor market regions in Norway, looking at gender differences in response to industrial diversity. Our identification strategy exploits variation in the timing of regional migration, measured over the age spans 6−19 and 13−19 years. We make extensive use of fixed effects so that each region only affects adult outcomes, measured as income rank, through differences in exposure time. Our results reveal significantly larger exposure effects among daughters than among sons. The difference is particularly large when we contrast sons to fathers and daughters to mothers, but it is also apparent when we place sons and daughters, respectively, fathers and mothers, in the same distribution. We further find that industrial diversity, and thus the range of job opportunities, matters most during the teenage years. The patterns are, to some extent, detectible on maps, for example, with better mobility opportunities for men in coastal regions based on maritime and/or marine specialization. We conclude with assessments, a recommendation for regional policy, and some international considerations.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"25-42"},"PeriodicalIF":3.2,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12731","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203891","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}
{"title":"Climate change and real estate: An introduction to the special issue","authors":"Edward Coulson, Juan Palacios, Siqi Zheng","doi":"10.1111/jors.12728","DOIUrl":"https://doi.org/10.1111/jors.12728","url":null,"abstract":"<p>Climate change is increasing the frequency and intensity of natural disasters, putting tens of millions of real estate properties at significant physical and financial risk. A recent climate change assessment by the Biden administration estimates that extreme weather events cost the United States approximately $150 billion in direct damages annually (USGCRP, <span>2023</span>).1 In addition to imposing a substantial welfare cost on property owners, mounting risks could threaten the stability of the property market, financial sector, and macroeconomy itself. At the same time, the real estate and building sector consumes around one-third of the world's energy annually and is responsible for a similar share of greenhouse gas (GHG) emissions. Given its volume, reducing emissions from the sector is central to achieving the pledged net-zero goals of nations.</p><p>Real estate investors are increasingly putting sustainability at the center of their decision-making processes, given the close association between climate risk and real estate assets, both of which are location-based. In the meantime, more stringent building decarbonization regulations are putting pressure on real estate owners and investors, who must invest heavily to retrofit their buildings or pay “carbon penalties” and see their assets lose value. In recognition of the real estate sector's vulnerability and its contribution to climate change, the MIT Inaugural Climate and Real Estate Symposium was held on the MIT campus on December 4 and 5, 2022. Sponsored by the MIT Center for Real Estate, the conference brought together some of the leading experts on the interface of real estate markets and their reaction and adaptation to climate change. Academic, policy, and industry experts convened to listen to and discuss the leading research in this area.</p><p>The <i>Journal of Regional Science</i> is pleased to publish this special issue, consisting of five papers from that conference. Edited by Juan Palacios of Maastricht University and MIT (assisted by Siqi Zheng and Ed Coulson), the papers have been vetted through the conference discussions as well as the journal's standard refereeing process. The contributors include some of the leading scholars in the area of sustainable real estate, and the papers represent a broad set of analyses on important issues in this field:</p><p>Le (<span>2024</span>) sheds light on the dynamics of residential markets following Hurricane Sandy, and factors explaining the price recovery. The estimates show that remodeling expenditures are responsible for the return of prices to pre-storm levels, rather than changes in risk perception. In addition, the author documents an increase in flood insurance take-up rates in affected areas outside of floodplains after the hurricane.</p><p>On the other hand, the increasing availability of green finance instruments offers a promising set of solutions to transform real estate into a more resilient and environmentally friend","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"64 4","pages":"991-993"},"PeriodicalIF":3.2,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12728","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142165759","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}
{"title":"Out-of-area home purchase and U.S. internal migration","authors":"Minghao Li, Pengfei Liu, Chuan Tang","doi":"10.1111/jors.12730","DOIUrl":"10.1111/jors.12730","url":null,"abstract":"<p>This study demonstrates that out-of-area (OOA) property transactions can serve as a proxy for migration. Using micro-level transaction data, we document that about 35% of migrants make OOA property purchases. The goodness-of-fit between migration and OOA purchases is higher for aggregate migration measures and lower for migration flows between disaggregated areas. Furthermore, in most specifications, a one percent increase in OOA purchases is associated with an approximately one percent increase in migration. We characterize the monthly out-migration from NYC zip codes to surrounding areas after the outbreak of the COVID-19 pandemic to demonstrate the high temporal and spatial resolution of OOA transaction data.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"5-24"},"PeriodicalIF":3.2,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203893","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":"We're not in dreamland anymore: The consequences of community opioid use on local industrial composition","authors":"W. Scott Langford, Maryann P. Feldman","doi":"10.1111/jors.12727","DOIUrl":"10.1111/jors.12727","url":null,"abstract":"<p>We estimate the effect of opioid use rates on local economic resilience through changes in industrial composition. We find regional opioid use rates adversely affect firm growth in general, with the greatest impact on small firms. Our results are robust to several identification strategies (Difference in Differences, Propensity Score Matching, and Instrumental Variables) and alternative empirical specifications. Our findings establish that local industrial composition and long-term resilience are each adversely affected by the opioid public health crisis.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"64 5","pages":"1811-1831"},"PeriodicalIF":3.2,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203892","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":"What contributes to rising inequality in large cities?","authors":"Luis Ayala, Javier Martín-Román, Juan Vicente","doi":"10.1111/jors.12725","DOIUrl":"10.1111/jors.12725","url":null,"abstract":"<p>This paper aims to analyze the trends in income inequality in large cities within a selected sample of OECD countries. Specifically, we consider a set of individual characteristics that account for changes in the income distribution and estimate their contribution to differences in inequality in large cities over the last two decades. We use a combination of reweighting techniques and recentered influence functions (RIF) to detect an upward trend in inequality within large cities. This result is mainly driven by changes in the returns to endowments rather than by changes in its distribution. Our findings suggest that these results are not of the same magnitude across the countries analyzed. A key finding is that the contribution to inequality of the skill premium is considerably higher in North American countries than in European countries.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"64 5","pages":"1760-1810"},"PeriodicalIF":3.2,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12725","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142203894","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}