{"title":"Illuminating Insights: The Impact of Chinese Infrastructure Projects on Economic Activities in Sub-Saharan Africa","authors":"Yan Wang, Yinyin Xu","doi":"10.1111/jors.70023","DOIUrl":"https://doi.org/10.1111/jors.70023","url":null,"abstract":"<p>This study investigates the impact of Chinese-funded infrastructure projects on economic activities in sub-Saharan Africa (SSA), focusing on both direct effects and spatial spillovers. Utilizing satellite-based nighttime light intensity as a proxy for economic activity, the research analyzes data from 4385 second-order administrative regions across 48 countries between 2012 and 2021. These geo-coded projects, financed by the China Development Bank and the Export-Import Bank of China, span sectors such as power, transportation, telecommunications, and water management. Employing various spatial econometric models, this study reveals that these infrastructure projects financed and co-financed by the Chinese development financial institutions significantly boost local economic activities and generate positive spillovers in neighboring areas. By highlighting the spatial dynamics, this study provides an in-depth but nuanced understanding of the localized economic benefits of these infrastructure projects at the second-order administrative level, emphasizing the importance of regional coordination and integration to maximize these benefits. The findings support the global effort to enhance infrastructure development through diverse financing approaches, offering empirical evidence for the role of infrastructure development in reshaping the spatial distribution of economic activities. This study enriches existing literature on the effectiveness of development finance by focusing on microregional impacts and demonstrating the transformative potential of infrastructure projects in fostering regional economic development in SSA.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"66 1","pages":"229-243"},"PeriodicalIF":2.7,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145987312","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}
Rafael González-Val, Pau Insa-Sánchez, Julio Martinez-Galarraga, Daniel A. Tirado-Fabregat
{"title":"Market Access, the Skill Premium and Human Capital in Spain (1860–1930)","authors":"Rafael González-Val, Pau Insa-Sánchez, Julio Martinez-Galarraga, Daniel A. Tirado-Fabregat","doi":"10.1111/jors.70020","DOIUrl":"https://doi.org/10.1111/jors.70020","url":null,"abstract":"<p>This paper explores the relationship between market access and human capital in the context of an industrializing economy, in this case Spain between the late 19th and early 20th centuries. Specifically, we examine whether differences in regional accumulations of human capital could be related to market access. To do this, we empirically test the relationship between education variables and market access for Spanish provinces between 1860 and 1930. We then focus on the mechanism that may be mediating this relationship, that is, the skill premium. The results suggest that there were sizeable provincial differences in the skill premium, the explanation for which would be that those provinces with the highest market access specialized more in skill-intensive sectors in which higher wages were paid.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"66 1","pages":"201-228"},"PeriodicalIF":2.7,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.70020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145983856","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":"How Do Natural Disasters Affect Regional Innovation?","authors":"Ziyang Zhan, Dongxing Jia, Kai Wu, Huiming Zhang","doi":"10.1111/jors.70019","DOIUrl":"https://doi.org/10.1111/jors.70019","url":null,"abstract":"<div>\u0000 \u0000 <p>This study examines the effect of natural disasters on regional innovation in the United States between 1994 and 2018. Using a comprehensive dataset of patents and natural disasters at the county level, we employ a panel-fixed-effects model to estimate the causal impact of disasters on patent applications. Our findings reveal that natural disasters significantly hinder innovation, with patent applications decreasing by 2%–2.4% in 2–4 years after a disaster event. The results remain robust in alternative samples, specifications, and endogeneity tests using propensity score matching and placebo tests. The dynamic effects demonstrate a persistent decline in patenting over time, with no evidence of pretrends. In addition, we find that the negative impact of disasters on innovation is particularly pronounced in counties with lower levels of human capital and financial infrastructure. Our findings suggest that natural disasters disrupt regional innovation systems, divert resources, and impede technological progress.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"66 1","pages":"165-200"},"PeriodicalIF":2.7,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145969732","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":"Access to the Future: Traffic Convenience and the Birth of Startup Companies","authors":"Mingyue Lu, Shijin Zhou, Tong Xiang, Shiyue Luo, Yu Hao","doi":"10.1111/jors.70021","DOIUrl":"https://doi.org/10.1111/jors.70021","url":null,"abstract":"<div>\u0000 \u0000 <p>In the context of China's dynamic economic landscape, our research investigates the influence of traffic convenience (TC) on the proliferation of startup companies (SCs) across diverse geographic regions and industries. Utilizing panel data covering the period from 2000 to 2019 and encompassing 278 cities, we constructed a specialized data set for SCs in China using a text-based machine learning approach and employed highway density to measure TC. Our analysis reveals that a marginal increase of 1 m of highway per square kilometer is associated with an average increase of approximately 18 SCs, primarily concentrated in the tertiary sector. Further exploration into the channels underlying TC's impact on SC formation uncovers significant channel effects of foreign direct investment, regional product sales, and market potential. Moreover, the emergence of high-speed rail is also found to positively correlate with an increase in SC numbers. Our study identifies spatial and industrial disparities in the influence of TC, notably observing an insignificant effect on SCs in the northwestern and southern regions. Importantly, highway infrastructure improvements exert a lasting positive impact on startup formation, with effects remaining significant for up to 3 years. These findings contribute to the advancement of enterprise growth theory and shed light on the intricate relationship between transportation infrastructure and the enterprise ecosystem, providing valuable insights for policymakers and stakeholders engaged in urban planning and regional economic development initiatives.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"66 1","pages":"140-164"},"PeriodicalIF":2.7,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145969609","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}
Fernanda Alfaro, Scott Loveridge, Dusan Paredes, Mark Skidmore
{"title":"Explaining the Big Mac Urban-Rural Price Gap in the United States","authors":"Fernanda Alfaro, Scott Loveridge, Dusan Paredes, Mark Skidmore","doi":"10.1111/jors.70022","DOIUrl":"https://doi.org/10.1111/jors.70022","url":null,"abstract":"<p>The Law of One Price (LOP) is a fundamental economic principle, yet its application in regional studies often excludes rural areas due to data limitations. We analyze price equalization across the US using Big Mac prices to address this gap. Our analysis focuses on three key questions: (i) Is there evidence of price equalization between urban and rural areas in the US over the short and long run? (ii) What factors drive urban-rural price equalization? (iii) How does inflation influence the behavior of price equalization? Our findings reveal that inflation affects the speed of urban-rural gap convergence and determines the key variables that explain the price gap.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"66 1","pages":"124-139"},"PeriodicalIF":2.7,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145969773","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 Impact of the BP Oil Spill on Residential Mortgage Lending and Its Mechanisms","authors":"Robert Forster, Xiaojin Sun","doi":"10.1111/jors.70018","DOIUrl":"https://doi.org/10.1111/jors.70018","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper employs the BP oil spill as a quasi-natural experiment and examines its effects on residential mortgage lending in the affected Gulf coast areas. We construct a unique dataset by using information from the Shoreline Cleanup Assessment Technique program and mapping those observations to the Home Mortgage Disclosure Act lending dataset. Our difference-in-differences estimation results show that the denial rate of mortgage applications rose by nearly 2 percentage points as a result of the oil spill, whilst accounting for various fixed effects at the lender and census tract levels. We also find that the collateral value channel played a crucial role in the propagation mechanism of the oil spill and its impact on the lending activities of financial institutions. Furthermore, depending on lenders' funding models, the oil spill triggered a heterogeneous lending response, resulting in a more pronounced lending contraction for institutions with higher exposure to funding through securitization.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"66 1","pages":"105-123"},"PeriodicalIF":2.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145983848","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":"Hometown Favoritism and Political Rewards: Evidence From South Korean Municipalities","authors":"Min-Young Hwang, Dongwon Lee","doi":"10.1111/jors.70017","DOIUrl":"https://doi.org/10.1111/jors.70017","url":null,"abstract":"<div>\u0000 \u0000 <p>We examine whether politicians favor their hometowns in the allocation of transfers as a strategy to reward core supporters. In South Korea, regional governors have discretion to allocate certain grants to municipalities without approval from the legislature. Using data from 226 South Korean municipalities across 15 regions, we find that the hometowns of internal governors, those elected within their home regions, receive approximately 20% more discretionary grants. Consistent with the core supporter model, we show that elected internal governors allocate more grants to hometown municipalities with a higher concentration of supporters. In contrast, external governors, those elected outside their home regions, exhibit no hometown bias. Our findings suggest that regional governors favor their hometowns because these areas tend to provide strong electoral support.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"66 1","pages":"89-104"},"PeriodicalIF":2.7,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145993932","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":"Geography of Climate Change Adaptation in US Agriculture","authors":"Jingfang Zhang, Emir Malikov, Ruiqing Miao, Prasenjit Ghosh","doi":"10.1111/jors.70014","DOIUrl":"https://doi.org/10.1111/jors.70014","url":null,"abstract":"<div>\u0000 \u0000 <p>Geography is a salient feature in agricultural adaptation to a warming climate. Facing heterogeneous natural-resource and climatic endowments, farmers in different locations choose adaptive strategies that are best suited to their environments, resulting in inhomogeneous adaptation across space. We provide novel evidence of this <i>explicitly spatial</i> heterogeneity in heat sensitivity of US crop yields and their adaptation thereto. We generalize a popular long-differences approach by explicitly incorporating geographic information of crop-producing counties in a semiparametric fashion, using local kernel averaging. This lets us control for spatially clustered local heterogeneity that may be non-neutral in that it moderates climate effects on agriculture. Obtained measurements of historical adaptation are also more granular and account for local contexts, as do projected yield changes due to climate change. We find that corn and soybean adaptation to overheat mainly occurred in the Northern Great Plains and Upper Midwest. There is a geographic bifurcation in expected climate change effects by the mid-century, with some regions projected to experience large yield declines and others to benefit from significant yield gains. Considering the net offset potential of this bifurcation, our average yield impact projections are generally smaller relative to traditional approaches.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"66 1","pages":"46-88"},"PeriodicalIF":2.7,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145983907","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}
Sarra Ben Yahmed, Francesco Berlingieri, Eduard Brüll
{"title":"Local Labour Market Resilience: The Role of Digitalisation and Working From Home","authors":"Sarra Ben Yahmed, Francesco Berlingieri, Eduard Brüll","doi":"10.1111/jors.70013","DOIUrl":"https://doi.org/10.1111/jors.70013","url":null,"abstract":"<p>This article shows that digital capital and working from home were essential for the resilience of local labour markets in the context of the COVID-19 crisis in Germany. Employment responses differed widely across local labour markets, with differences in short-time work rates of up to 30 percentage points at the beginning of the pandemic. Using recent advancements in the difference-in-differences approach with a continuous treatment, we find that digital capital potential higher by one standard deviation led to a short-time work rate that was lower by 1.5 percentage points on average at the onset of the shock. The effect was nonlinear, disproportionately disadvantaging regions at the lower end of the digital capital distribution. We also find that working from home potential led to lower short-time work, especially during the first lockdown period. However, digital capital smoothed the employment shock beyond the effect of remote work, extending into 2021. Moreover, local digital capital potential increased the adoption of remote work after the shock.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 5","pages":"1506-1532"},"PeriodicalIF":2.7,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.70013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145443060","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 Impact of Commuting Time on Students' Academic Performance: Evidence From Nearby Enrollment Policy in China","authors":"Jiahui Cheng","doi":"10.1111/jors.70015","DOIUrl":"https://doi.org/10.1111/jors.70015","url":null,"abstract":"<div>\u0000 \u0000 <p>This study investigates the impact of commuting time on students' academic performance based on the nearby enrollment policy in China. Using a sample of middle school students without school-choice behavior, we capture relatively exogenous commuting times. The results indicate that an additional 10 min of one-way commute time leads to a decrease of 0.017 standard deviations in students' scores. A further discussion of mechanisms suggests that more lateness and absenteeism, more unhappiness and lack of concentration are the primary mechanisms. Heterogeneity analysis reveals that the negative effect is smaller for active commuters when the commute time is under 26.59 min. Commuters attending suburban schools experience less negative impact compared to those in urban centers or rural areas. No significant differences are observed in the effects based on gender or school start times. Finally, we explore the nonlinear effects of commuting time.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"66 1","pages":"22-45"},"PeriodicalIF":2.7,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145983845","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}