Journal of Regional Science最新文献

{"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":"https://doi.org/10.1111/jors.12729","url":null,"abstract":"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.","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"38 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","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":"","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":"https://doi.org/10.1111/jors.12731","url":null,"abstract":"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.","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"6 1","pages":""},"PeriodicalIF":3.0,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","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":"","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":"https://doi.org/10.1111/jors.12730","url":null,"abstract":"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.","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"9 1","pages":""},"PeriodicalIF":3.0,"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,&nbsp;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,&nbsp;Javier Martín-Román,&nbsp;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}

{"title":"The drivers of intra- and interregional labor mobility over the industry life cycle of the high-tech sector","authors":"Jaakko Simonen,&nbsp;Philip McCann,&nbsp;Santtu Karhinen,&nbsp;Rauli Svento","doi":"10.1111/jors.12724","DOIUrl":"10.1111/jors.12724","url":null,"abstract":"<p>In this article, we analyze how industry- and region-specific characteristics influence individual-level decisions on mobility within and between regions during the life cycle of the industry. Using uniquely detailed panel-type data from the Finnish high technology sector, our analysis demonstrates that the influence of different regional features varies for different types of job changes and labor mobility and also according to the industry life cycle. We find that the classic agglomeration-type arguments regarding labor search and matching only really operate in the early growth stages of an industry life cycle. These patterns change throughout the various stages of the industry life cycle, although in quite different ways according to different factors, and understanding how these patterns change helps to provide a richer understanding of the labor market roles of agglomeration and clustering.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"64 5","pages":"1736-1759"},"PeriodicalIF":3.2,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12724","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141928681","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":"Good intentions gone awry: Rail lines and inner-city development","authors":"Tianshi Sun,&nbsp;Zhicheng Xu,&nbsp;Mingyue Wang,&nbsp;Xiuyan Liu","doi":"10.1111/jors.12726","DOIUrl":"https://doi.org/10.1111/jors.12726","url":null,"abstract":"<p>This study explored the impact of transportation systems in urban areas on economic activity. We examined the effect of traditional Chinese railway construction fencing on urban spatial development using nighttime luminance and railway data from prefecture-level cities. The study found that the fencing effect exacerbated uneven development on either side of the railway, especially in economically underdeveloped areas. These results were supported by different measures of development and a placebo test. The fencing effect was also found to affect the location of newly registered firms and the total factor productivity of industrial firms, leading to unbalanced growth on either side of the railway.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"64 5","pages":"1712-1735"},"PeriodicalIF":3.2,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664561","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":"Unintended distortion of regulating water use: Evidence from China","authors":"Hua Zhong","doi":"10.1111/jors.12721","DOIUrl":"https://doi.org/10.1111/jors.12721","url":null,"abstract":"<p>The Chinese government has been using water efficiency targets to manage commercial, institutional, and industrial water use across the country. This paper argues that water efficiency targets may influence provincial administrators’ preferences in tightening water regulation in cities with higher water use while disproportionately overregulating water use in productive cities to satisfy their efficiency goals. I develop a city-level production model with water regulation preferences and show that the unintended distortion of water regulation in response to water efficiency targets leads to efficiency loss of resource allocation and further reshapes regional output across cities, especially for productive cities. Using a sample of city-level water data from 2006 to 2016 in China, this paper empirically investigates the impact of the Three Red Lines (TRL) policy on provincial administrators’ preferences in water use regulation. The results indicate that the elasticity of water regulation in response to the policy is approximately −0.64 to −0.8 and has resulted in tighter water regulations for cities with higher economic outputs. Quantitatively, eliminating water distortions would reshape water use across cities and increase the aggregate output of an entire province by up to 0.069%. The results imply that possible consequences of the political consideration of provincial administrators in satisfying water efficiency targets include inefficiency and inequality in water allocation.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"64 5","pages":"1680-1711"},"PeriodicalIF":3.2,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665181","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":"The role of public social expenditure for mitigating local income inequality: An investigation across spatial scales in Austria","authors":"Tatjana Neuhuber,&nbsp;Antonia E. Schneider","doi":"10.1111/jors.12722","DOIUrl":"10.1111/jors.12722","url":null,"abstract":"<p>This paper investigates the role of municipal and provincial public social spending for local income inequality after taxes and transfers in Austria. We utilize a spatial multi-level model, which allows us to analyze the contribution of three spatial scales (municipal, district, and provincial level) to municipal income inequality. Our analysis shows that the effect of public social spending on local Gini indices does not only differ across provinces but also across municipalities which indicates that the potential cushioning effect of social expenditure is highly localized. Further splitting total public social expenditure into three distinct categories (education, health, social protection) reveals that spending on social protection has the highest effect on local inequality across all provinces, while health spending does not exert a discernible influence in any province. The method and results presented in this paper are of international interest for policymakers and researchers who aim to investigate whether the same patterns hold true in other countries.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"64 5","pages":"1647-1679"},"PeriodicalIF":3.2,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12722","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141770661","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}