{"title":"Do population density, socio-economic ranking and Gini Index of cities influence infection rates from coronavirus? Israel as a case study.","authors":"Yuval Arbel, Chaim Fialkoff, Amichai Kerner, Miryam Kerner","doi":"10.1007/s00168-021-01073-y","DOIUrl":"https://doi.org/10.1007/s00168-021-01073-y","url":null,"abstract":"<p><p>A prominent characteristic of the COVID-19 pandemic is the marked geographic variation in COVID-19 prevalence. The objective of the current study is to assess the influence of population density and socio-economic measures (socio-economic ranking and the Gini Index) across cities on coronavirus infection rates. Israel provides an interesting case study based on the highly non-uniform distribution of urban populations, the existence of one of the most densely populated cities in the world and diversified populations. Moreover, COVID19 challenges the consensus regarding compact planning design. Consequently, it is important to analyze the relationship between COVID19 spread and population density. The outcomes of our study show that <i>ceteris paribus</i> projected probabilities to be infected from coronavirus <i>rise</i> with population density from 1.6 to 2.72% up to a maximum of 5.17-5.238% for a population density of 20,282-20,542 persons per square kilometer (sq. km.). Above this benchmark, the anticipated infection rate <i>drops</i> up to 4.06-4.50%. Projected infection rates of 4.06-4.50% are equal in cities, towns and regional councils (Local Authorities) with the maximal population density of 26,510 and 11,979-13,343 persons per sq. km. A possible interpretation is that while denser cities facilitate human interactions, they also enable and promote improved health infrastructure. This, in turn, contributes to medical literacy, namely, elevated awareness to the benefits associated with compliance with hygienic practices (washing hands), social distancing rules and wearing masks. Findings may support compact planning design principles, namely, development of dense, mixed use, walkable and transit accessible community design in compact and polycentric regions. Indeed, city planners should weigh the costs and benefits of many risk factors, including the COVID19 pandemic.</p>","PeriodicalId":512272,"journal":{"name":"The Annals of Regional Science","volume":"68 1","pages":"181-206"},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8403256/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39385376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The great recession and job loss spillovers: impact of tradable employment shocks on supporting services.","authors":"Ha Nguyen, Shawheen Rezaei, Divya Agarwal","doi":"10.1007/s00168-021-01104-8","DOIUrl":"https://doi.org/10.1007/s00168-021-01104-8","url":null,"abstract":"<p><p>This paper explores the spillover effects of job losses via input-output linkages during the Great Recession. Exploiting exogenous variation in tradable employment shocks across US counties, the paper finds that job losses in a county's tradable industries cause further job losses in the county's supporting services. A 10% exogenous decline in tradable employment reduces supporting industries' employment by 3.1%. In addition, a county's regional supporting services are relatively less affected by its tradable job losses than its local supporting services, reinforcing the argument that the spillovers are due to input-output linkages.</p>","PeriodicalId":512272,"journal":{"name":"The Annals of Regional Science","volume":"68 3","pages":"789-815"},"PeriodicalIF":1.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764891/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39851834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"China's regional public safety efficiency: a data envelopment analysis approach.","authors":"Yongguang Zou, Yuemei He, Weiling Lin, Sha Fang","doi":"10.1007/s00168-020-01025-y","DOIUrl":"https://doi.org/10.1007/s00168-020-01025-y","url":null,"abstract":"<p><p>This study develops a comprehensive public safety efficiency index that includes the inputs and outputs of regional public safety. The DEA-BC<sup>2</sup> model was used to measure the technical efficiency (TE), pure technical efficiency (PTE), and scale efficiency (SE) of public safety at 31 province-level administrative divisions (regions) in China from 2014 to 2018, and to analyze the effectiveness of public safety in each year. The findings indicate that the average TE, PTE, and SE of all regions from 2014 and 2018 were mostly redundant and ineffective. The average Malmquist index continued to decline, with the lack of technological progress identified as the main hindering factor. The public safety efficiency of 31 regions was affected by the technical progress change, pure technical efficiency change, and scale efficiency change at different periods. The findings suggest that all regions should improve the public safety inputs, better allocate various input elements and utilize public safety resources more effectively.</p>","PeriodicalId":512272,"journal":{"name":"The Annals of Regional Science","volume":"66 2","pages":"409-438"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s00168-020-01025-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38424111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trading with richer and poorer countries: trade integration and regional inequality in Greece.","authors":"Andrés Rodríguez-Pose, Alexandra Sotiriou","doi":"10.1007/s00168-021-01062-1","DOIUrl":"https://doi.org/10.1007/s00168-021-01062-1","url":null,"abstract":"<p><p>This paper examines the link between increased trade and regional GDP growth across the regional income distribution in Greece during the post-EMU period (2000-2013). By means of quantile regression techniques, panel fixed effects and system generalized method of moments (GMM), we disentangle the effects of EU trade-trading with generally richer countries-versus global trade-in the case of Greece, mostly trading with poorer countries-at several points of the regional income distribution to identify differences in trade elasticities. The analysis finds that the impact of EU trade is highly heterogeneous and mainly affects negatively the economy of the richer regions in Greece. In contrast, the effects of EU trade display insignificant results for the lower-income regions, attributed to the absence of direct substitution effects.</p>","PeriodicalId":512272,"journal":{"name":"The Annals of Regional Science","volume":"67 3","pages":"697-725"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s00168-021-01062-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39087671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modelling European regional FDI flows using a Bayesian spatial Poisson interaction model.","authors":"Tamás Krisztin, Philipp Piribauer","doi":"10.1007/s00168-021-01058-x","DOIUrl":"https://doi.org/10.1007/s00168-021-01058-x","url":null,"abstract":"<p><p>This paper presents an empirical study of spatial origin and destination effects of European regional FDI dyads. Recent regional studies primarily focus on locational determinants, but ignore bilateral origin- and intervening factors, as well as associated spatial dependence. This paper fills this gap by using observations on interregional FDI flows within a spatially augmented Poisson interaction model. We explicitly distinguish FDI activities between three different stages of the value chain. Our results provide important insights on drivers of regional FDI activities, both from origin and destination perspectives. We moreover show that spatial dependence plays a key role in both dimensions.</p>","PeriodicalId":512272,"journal":{"name":"The Annals of Regional Science","volume":"67 3","pages":"593-616"},"PeriodicalIF":1.7,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s00168-021-01058-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39578768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Key sector analysis for a subnational region with leakages","authors":"C. Seung","doi":"10.1007/s00168-020-00997-1","DOIUrl":"https://doi.org/10.1007/s00168-020-00997-1","url":null,"abstract":"","PeriodicalId":512272,"journal":{"name":"The Annals of Regional Science","volume":"44 6","pages":"619 - 644"},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141206772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Key sector analysis for a subnational region with leakages","authors":"C. Seung","doi":"10.1007/s00168-020-00997-1","DOIUrl":"https://doi.org/10.1007/s00168-020-00997-1","url":null,"abstract":"","PeriodicalId":512272,"journal":{"name":"The Annals of Regional Science","volume":"46 9","pages":"619 - 644"},"PeriodicalIF":0.0,"publicationDate":"2020-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141206746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Mariotti, Mariachiara Barzotto, Giancarlo Corò, Stefano Saloriani
{"title":"Industrial districts, urban areas or both? The location behaviour of foreign and domestic firms in an Italian manufacturing region","authors":"I. Mariotti, Mariachiara Barzotto, Giancarlo Corò, Stefano Saloriani","doi":"10.1007/s00168-020-00990-8","DOIUrl":"https://doi.org/10.1007/s00168-020-00990-8","url":null,"abstract":"","PeriodicalId":512272,"journal":{"name":"The Annals of Regional Science","volume":" 11","pages":"523 - 546"},"PeriodicalIF":0.0,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141223330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}