The Journal of Regional Science (JRS) publishes original analytical research at the intersection of economics and quantitative geography. Since 1958, the JRS has published leading contributions to urban and regional thought including rigorous methodological contributions and seminal theoretical pieces. The JRS is one of the most highly cited journals in urban and regional research, planning, geography, and the environment. The JRS publishes work that advances our understanding of the geographic dimensions of urban and regional economies, human settlements, and policies related to cities and regions.

The Journal of Regional Science (JRS) has been publishing original analytical research at the intersection of economics and quantitative geography since 1958. The journal features significant contributions to urban and regional thought, including rigorous methodological studies and seminal theoretical articles. JRS is one of the most highly cited journals in urban and regional research, planning, geography, and the environment, and it aims to enhance our understanding of the geographic dimensions of urban and regional economies, human settlements, and policies related to cities and regions.

《Journal of Regional Science》是一本自1958年以来出版的期刊，专注于经济学与定量地理学交叉领域的原创分析研究。该期刊发表了许多在城市与区域思想方面的重要贡献，包括严谨的方法论研究和开创性的理论文章。《Journal of Regional Science》是城市与区域研究、规划、地理和环境领域中被引用最多的期刊之一，致力于推动我们对城市与区域经济、人类聚落以及与城市和区域相关政策的地理维度的理解。

Journal of Regional Science

Abstract Using a panel data set comprising 284 prefecture‐level and above cities in China during 2005–2018, this study develops a theoretical mechanism harnessing the spatial Durbin model (SDM) to accumulate evidence and explain how innovation affects China's economic growth. It is found that regional economic growth is facilitated by local innovation activities as well as the absorption capacity of innovation and technology spilled over from other regions. This study also identifies 12 regional innovation poles across the country, which are found to have played a significant role in promoting urban economic development within a physical distance range of 150 km of a given region. This finding attests to the radiation effect from regional innovation poles in cultivating more such poles for China, to promote sustainable high‐quality economic growth, suggesting a route for China to avoid the curse of the middle‐income trap.

Yu Zheng

Alan Collins

Shujie Yao

Promoting sustainable and high‐quality economic development in China via regional innovation poles

通过区域创新极推动中国可持续高质量发展

Abstract We estimate the spatially heterogeneous effects of the coronavirus disease 2019 pandemic on labor market dynamics in Germany until December 2021. While initially slightly stronger in rural regions and large agglomerations, adverse effects quickly become more pronounced and persistent in large agglomerations compared to all other region types. We ascribe the larger impact of the pandemic in large agglomerations to two factors. First, a combination of a higher share of skilled workers and jobs suitable for working from home is positively related to an increased inflow rate into unemployment. We argue that local spillover effects from reduced product market demand in large cities caused by changes in behavior such as working from home or online shopping are a possible explanation. Second, some of our results suggest that a lower outflow rate out of unemployment is associated with a higher precrisis unemployment rate in large agglomerations. This might reflect the less favorable composition of unemployment in large cities, which reduces the probability of transitions into employment during crises.

Silke Hamann

Annekatrin Niebuhr

Duncan Roth

Georg Sieglen

How does the Covid‐19 pandemic affect regional labor markets and why do large cities suffer most?

新冠疫情如何影响区域劳动力市场，为何大城市受影响最大？

Abstract The paper investigates whether firms have better access to bank credit in territories characterized by a larger degree of urbanization. It uses Italian bank‐firm data drawn from the Credit Register to devise an indicator of easiness of access to credit. The paper proposes an instrumental variable strategy that exploits as instruments past population density and urbanization driven by political economy considerations. The results show that urbanization positively affects access to credit for construction firms, whose collateral greatly benefits from thicker real estate markets. No impact is found for service and manufacturing firms.

Amanda Carmignani

Guido de Blasio

Cristina Demma

Alessio D'Ignazio

Urbanization and firm access to credit

ABSTRACT This paper links gender wage gaps with the urban wage premium. First, the study documents gender wage gaps are narrower in larger U.S. metropolitan areas in 2000 and 2010. Skill agglomerations are then considered to explain this. Specifically, if men and women employ heterogeneous skills, and these skills have differential productivities across city sizes, agglomerative forces may differentially reward men and women. Occupational data show that women are concentrated in jobs relatively more intensive in interactive and cognitive skills, while men are comparatively in physical skill‐intensive jobs. Decomposing the gender wage gap shows that explanatory factors (education, skills, and location) predict women would outearn men. Instead, agglomerative skill returns account for majority of the gap. These estimates suggest that even as women employ skills rewarded in agglomeration economies, they benefit less from agglomerations than men, resulting in the observed gap.

Marigee Bacolod

SKILLS, THE GENDER WAGE GAP, AND CITIES

技能、性别工资差距与城市

Journal of Regional ScienceVolume 50, Issue 5 p. 1014-1015 BOOK REVIEWS Introduction to Spatial Econometrics, by James LeSage and R. Kelly Pace Kathleen P. Bell, Kathleen P. Bell School of EconomicsUniversity of MaineSearch for more papers by this author Kathleen P. Bell, Kathleen P. Bell School of EconomicsUniversity of MaineSearch for more papers by this author First published: 02 December 2010 https://doi.org/10.1111/j.1467-9787.2010.00709_7.xCitations: 5Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Citing Literature Volume50, Issue5December 2010Pages 1014-1015 RelatedInformation

Kathleen P. Bell

Introduction to Spatial Econometrics, by James LeSage and R. Kelly Pace

ABSTRACT The aim of this article is to exploit an innovative spatial econometric approach to map and study the evolving patterns of industrial districts (IDs). The procedure can be classified as a ‐means cluster‐wise regression procedure and is designed to detect homogeneous areas of subcontracting activity. These spatially contiguous aggregations of subcontractors are identified in terms of production function homogeneity and are defined as spatial regimes. Using this procedure, it is possible to detect two important sources of agglomeration economies that are commonly associated with the presence of an industrial district. The methodology is tested on a sample of Italian micro and small‐sized subcontracting firms operating in the footwear industry, showing its effectiveness in identifying the most commonly known IDs in this sector. Most ID regimes are persistent over time, despite the high turnover rates in the local subcontracting population after the 2008 financial crisis. These results can be explained by the presence of locally rooted competencies and context‐specific knowledge bases that persist despite the changing actors operating in the locality. Our evidence also shows that location in an ID does not necessarily entail benefits in terms of performance for subcontracting firms.

Jacopo Canello

Francesco Vidoli

Elisa Fusco

Nicoletta Giudice

Identifying and Mapping Industrial Districts Through a Spatially Constrained Cluster‐Wise Regression Approach

通过空间约束的集群回归方法识别和绘制工业区

ABSTRACT This study enhances the expanding but still limited body of evidence concerning the influence of natural hazards on tourism. We augment prior scholarly investigations by scrutinizing the repercussions of the 2009 L'Aquila earthquake on incoming tourism, thereby addressing an existing void in the literature regarding the ramifications of extreme events on high‐income nations such as Italy. Moreover, our contribution is novel in its application of the quasi‐experimental Synthetic Control Method within the realm of tourism research. Our findings underscore the enduringly deleterious consequences of the L'Aquila hazard on tourism, persisting over a protracted temporal horizon. In particular, the analysis shows a drop in overnight stays with a pronounced effect on hotel accommodations.

Federica Antonaglia

Elina De Simone

Lorenzo Dorato

Giuseppe Lucio Gaeta

Mauro Pinto

The Effect of Natural Disasters on Inbound Tourism: Synthetic Control Evidence From Italy

自然灾害对入境旅游的影响：来自意大利的合成控制证据

ABSTRACT This paper reexamines Krugman's core‐periphery model by substituting his constant elasticity of substitution (CES) utility with a general additively separable utility that comprehensively captures the pro‐competitive effect while preserving the income effect. The heterogeneous consumption patterns of skilled workers and unskilled workers introduce a demand adjustment effect. The resulting interaction &lt;span&gt;between&lt;/span&gt; the dispersion force, driven by the pro‐competitive effect and the demand adjustment effect, and the agglomeration force stemming from the “second nature,” leads to various possible location patterns. These comprehensive demand and supply linkages generate novel evolutionary paths and bifurcation diagrams. Notably, high trade costs do not always lead to complete dispersion, and free trade does not necessarily result in agglomeration. Furthermore, multiple phases of redispersion are also possible.

Congcong Wang

Dao‐Zhi Zeng

Xiwei Zhu

The Core‐Periphery Model Under Additively Separable Preferences

加性可分偏好下的核心-外围模型

Abstract We investigate if Airbnb diffusion affects residential property values differently across and within cities leveraging the heterogeneity of five Italian cities in terms of tourist attractiveness, local housing markets, and socioeconomic conditions. We find that Airbnb density growth leads to increases in house prices in all cities. Within‐city, the impact is positive both in centers and in the suburbs in more touristic towns, but only in the center in the others. Moreover, Airbnb may increase or decrease the center–periphery price gap. Our results suggest that the different impact of Airbnb on housing submarkets is driven by local disparity conditions.

Raffaele Congiu

Flavio Pino

Laura Rondi

The uneven effect of Airbnb on the housing market: Evidence across and within Italian cities

Airbnb对住房市场的不均衡影响：意大利城市内外证据

Abstract This paper shows that local officials' personal preferences formed through early‐life experience affects Chinese housing sector development. We exploit a county‐level panel between 2000 and 2007 and use the Great Famine in 1959–1961 in China as a natural experiment. Our specification exploits the spatial variation in the early‐life exposure to the famine, and shows that local officials' early‐life exposure to more severe famine leads to significantly less development in the housing sector in their jurisdictions. Our findings remain robust to alternative specifications, placebo tests, and competing hypotheses. Furthermore, we employ satellite nightlight data to show that the early‐life famine experience of local officials is negatively correlated with the extent of statistical data manipulation, indicating changing risk attitudes due to early‐life famine experiences.

短名	J. Reg. Sci.
Journal Impact	3.01
国际分区	REGIONAL & URBAN PLANNING(Q2)
期刊索引	SCI Q2中科院 3 区

ISSN	0022-4146, 1467-9787
h-index	90
国内分区	经济学(3区)经济学经济学(3区)经济学环境研究(3区)经济学区域与城市规划(4区)

涉及主题	经济地理数学计算机科学社会学政治学法学业务经济地理学工程类计量经济学历史生物
出版信息	出版商: Wiley-Blackwell Publishing Ltd，出版周期: ，期刊类型: journal，开源期刊: 否
基本数据	创刊年份: 1958，原创研究文献占比: 100.00%，自引率:6.20%， Gold OA占比: 39.86%

Journal of Regional Science

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