Journal of Regional Science最新文献

{"title":"Identifying and Mapping Industrial Districts Through a Spatially Constrained Cluster-Wise Regression Approach","authors":"Jacopo Canello,&nbsp;Francesco Vidoli,&nbsp;Elisa Fusco,&nbsp;Nicoletta Giudice","doi":"10.1111/jors.12743","DOIUrl":"https://doi.org/10.1111/jors.12743","url":null,"abstract":"<p>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 <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 \u0000 <mrow>\u0000 <mi>k</mi>\u0000 </mrow>\u0000 </mrow>\u0000 </semantics></math>-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.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 2","pages":"403-428"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12743","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143638915","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 Effect of Natural Disasters on Inbound Tourism: Synthetic Control Evidence From Italy","authors":"Federica Antonaglia,&nbsp;Elina De Simone,&nbsp;Lorenzo Dorato,&nbsp;Giuseppe Lucio Gaeta,&nbsp;Mauro Pinto","doi":"10.1111/jors.12745","DOIUrl":"https://doi.org/10.1111/jors.12745","url":null,"abstract":"<div>\u0000 \u0000 <p>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.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 2","pages":"429-445"},"PeriodicalIF":3.2,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143638916","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 Uneven Effect of Airbnb on the Housing Market: Evidence Across and Within Italian Cities","authors":"Raffaele Congiu,&nbsp;Flavio Pino,&nbsp;Laura Rondi","doi":"10.1111/jors.12737","DOIUrl":"https://doi.org/10.1111/jors.12737","url":null,"abstract":"<p>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.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 2","pages":"339-377"},"PeriodicalIF":3.2,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12737","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639240","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 Core-Periphery Model Under Additively Separable Preferences","authors":"Congcong Wang,&nbsp;Dao-Zhi Zeng,&nbsp;Xiwei Zhu","doi":"10.1111/jors.12744","DOIUrl":"https://doi.org/10.1111/jors.12744","url":null,"abstract":"<p>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.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 2","pages":"378-402"},"PeriodicalIF":3.2,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12744","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639241","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":"Stay Hungry, and Stay Calm in Upbeat Time: Local Leaders' Early-Life Famine Experience and Housing Sector Development in China","authors":"Linke Hou,&nbsp;Pinghan Liang,&nbsp;Siyuan Lyu","doi":"10.1111/jors.12741","DOIUrl":"https://doi.org/10.1111/jors.12741","url":null,"abstract":"<div>\u0000 \u0000 <p>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.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 2","pages":"324-338"},"PeriodicalIF":3.2,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639207","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":"Geographic Differences in the Effect of Immigration on the Native Wage Distribution: Evidence from Italian Provinces","authors":"Stefano Fusaro,&nbsp;Enrique López-Bazo","doi":"10.1111/jors.12742","DOIUrl":"https://doi.org/10.1111/jors.12742","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper examines geographic differences in the effect of immigration on the wage distribution of native Italian workers. The results suggest an insignificant effect across the wage distribution in northern provinces, but large and significant effects in the lower and middle parts of the distribution in the south. This is entirely because immigration pushed up wages at the lower end of the female wage distribution in southern local areas. This result is consistent with increases in labor market participation of native women that went hand in hand with improvements of women's skills at the bottom of the wage distribution.</p>\u0000 </div>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 2","pages":"313-323"},"PeriodicalIF":3.2,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639233","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":"Time is the enemy: The speed of proximity-based knowledge diffusion","authors":"Alessandra Perri,&nbsp;Francesco Rullani,&nbsp;Elisa Giuliani,&nbsp;Elisa Sabbadin,&nbsp;Raffaele Oriani","doi":"10.1111/jors.12740","DOIUrl":"https://doi.org/10.1111/jors.12740","url":null,"abstract":"<p>Does knowledge spread more quickly when firms are geographically closer? Focusing on knowledge diffusion from multinational enterprises (MNEs) subsidiaries in the context of the US semiconductor industry, our analysis suggests that the broader MNE patents are, in terms of the knowledge sources they draw on, the slower the speed of knowledge diffusion to more spatially proximate firms, compared to more distant ones. Moreover, our findings suggest that this outcome could be attributed to a greater reliance on knowledge sources that are internal to the MNE network or located geographically distant. We provide interpretative cues for these findings and provide policy recommendations in line with our results.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"284-308"},"PeriodicalIF":3.2,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12740","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143116387","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":"Spatial inequality in unsolved crimes: Evidence from small neighborhoods","authors":"Nils Braakmann,&nbsp;Bahadir Dursun,&nbsp;Diego Zambiasi","doi":"10.1111/jors.12739","DOIUrl":"https://doi.org/10.1111/jors.12739","url":null,"abstract":"<p>Using administrative data on the universe of police recorded crime linked to judicial outcomes for England and Wales from January 2013 to December 2018, we document—for the first time—large and persistent spatial inequalities in the proportion of solved and unsolved crimes across small neighborhoods covering a whole country. We find substantial differences across neighborhoods in the same municipality or police force. Fixed effects decompositions suggest that neighborhoods have different clearance rates across different crimes and that high-crime neighborhoods also have high clearance rates, but with substantial heterogeneity across offences. Clearance rates correlate systematically with neighborhood composition.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"258-283"},"PeriodicalIF":3.2,"publicationDate":"2024-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jors.12739","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143115236","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":"All (economic) politics is local: Voting responses to localized price shocks during the great recession","authors":"Ron Cheung,&nbsp;Rachel Meltzer","doi":"10.1111/jors.12736","DOIUrl":"https://doi.org/10.1111/jors.12736","url":null,"abstract":"<p>The connection between individual and macroeconomic conditions and voting behavior is well-established. We contribute to the less resolved “spatial gap” in the literature that centers on how the localized economic conditions of where voters live influence their likelihood to vote. We test how space mediates the tension between voter mobilization and withdrawal in the face of economic shocks. We consider a scenario, the Great Recession, where economic shocks were quite localized and sudden, and compile an extensive dataset of all registered voters in the four-county Tampa metropolitan area between 2006 and 2015. Using sales prices and property characteristics from the tax assessor rolls, we estimate a neighborhood-level shock to housing values induced by the Great Recession. Results show that when we do not account for local neighborhood variation, the Great Recession is associated with a significant decrease in voter turnout. However, when we account for localized economic shocks, we find that residents in neighborhoods with negative price shocks were more likely to vote after the Recession, especially in non-local elections. In addition, the propensity to vote increases with the size of the negative price shock. There is some evidence that variation at the neighborhood level matters more than voter-level heterogeneity. The positive voting response is most profound in predominantly Black neighborhoods, and, to a lesser extent, in predominantly Hispanic and the lowest income neighborhoods. Increases in the propensity to vote are robust to models controlling for baseline economic vulnerabilities, such as localized unemployment, the weakness of the local housing market and exposure to sectors hit hardest by the Recession. The results indicate that dramatic and sudden changes in localized economic conditions can drive voting behavior, and in ways that are distinct from macroeconomic drivers. In addition, the housing asset channel appears to be a powerful one, which can induce significant voting responses at the national level apart from other localized economic drivers, especially among homeowners.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"221-257"},"PeriodicalIF":3.2,"publicationDate":"2024-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112902","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":"Amazon deforestation and CO2 emissions: A macroeconomic approach using the GVAR","authors":"Luccas Assis Attílio","doi":"10.1111/jors.12738","DOIUrl":"https://doi.org/10.1111/jors.12738","url":null,"abstract":"<p>We analyzed the relationship between economic variables, Amazon deforestation, and CO₂ emissions in Brazil. We used a macroeconomic approach of a system of open economies (global vector autoregressive [GVAR]). We constructed the international economy using 34 countries, representing 77% of the world GDP and 80% of world CO₂ emissions. GVAR allows us to simulate the world economy, capture spillover effects, incorporate the externality of gas emissions, treating Brazil as a small open economy, and including trade integration in the analysis. We found that domestic and external shocks affect Amazon deforestation and CO₂ emissions; the principal external shock is the Chinese one, followed by the European and the US shocks. China, directly and indirectly, affects CO₂ emissions and deforestation in Brazil through two channels (exchange rates and policy rates). The estimates showed that Brazilian currency and commodity prices are relevant for deforestation, while industrial production is for gas emissions. Other results are that (i) the Brazilian economy affects CO₂ emissions in Latin America (and the principal influence of China is on Asia), and (ii) the Chinese shock loses importance when using bilateral trade in 1999–2001, when China was not a fundamental trade partner of Brazil. Alternative model configurations demonstrate that soybean prices and Argentina influence Brazilian carbon emissions and Amazon deforestation. Specifically, soybean prices emerge as a major driver of carbon emissions. These results suggest that geography and trade integration matter to understanding Amazon deforestation and CO₂ emissions. Our estimates highlight the importance of government policies and international cooperation in curbing Amazon deforestation.</p>","PeriodicalId":48059,"journal":{"name":"Journal of Regional Science","volume":"65 1","pages":"189-220"},"PeriodicalIF":3.2,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143121435","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}