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The geographical and sectoral concentration of global supply chains 全球供应链的地域和部门集中
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2022-01-12 DOI: 10.1080/17421772.2021.2012584
Sofía Jiménez, E. Dietzenbacher, R. Duarte, Julio Sánchez‐Chóliz
{"title":"The geographical and sectoral concentration of global supply chains","authors":"Sofía Jiménez, E. Dietzenbacher, R. Duarte, Julio Sánchez‐Chóliz","doi":"10.1080/17421772.2021.2012584","DOIUrl":"https://doi.org/10.1080/17421772.2021.2012584","url":null,"abstract":"ABSTRACT Due to international fragmentation, production increasingly occurs in global supply chains (GSC). The common belief is that this leads to more specialization, which implies more concentration of imports and exports over time. In this paper, we empirically test this hypothesis by analysing the geographical and sectoral concentration of GSC over the period 1995–2011. We adapt the traditional Herfindahl’s concentration indexes to a multi-regional input–output framework. Taking the information on intersectoral and interregional linkages into full account gives the concentration indexes of GSC. The indexes are at different aggregation levels, which enables us to examine both geographical and sectoral concentration patterns. After that, we analyse the effect a country’s geographical and sectoral concentration on its gross domestic product (GDP) per capita. Our findings are: an increase of geographical and sectoral concentration of GSC from 1995 to 2011; a growing role in global production chains played by China and other Asian countries; less concentration for European Union countries; a significant positive effect of geographical concentration on GDP per capita; and a significant negative effect of sectoral concentration.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"370 - 394"},"PeriodicalIF":2.3,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44626368","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}
引用次数: 3
Covid-19 impact on US housing markets: evidence from spatial regression models 新冠肺炎对美国房地产市场的影响：来自空间回归模型的证据
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2022-01-10 DOI: 10.1080/17421772.2021.2018028
Jim Lee, Yuxia Huang
{"title":"Covid-19 impact on US housing markets: evidence from spatial regression models","authors":"Jim Lee, Yuxia Huang","doi":"10.1080/17421772.2021.2018028","DOIUrl":"https://doi.org/10.1080/17421772.2021.2018028","url":null,"abstract":"ABSTRACT This paper empirically investigates the conventional wisdom that urban residents have reacted to the Covid-19 pandemic by fleeing city centres for the suburbs. A conventional panel model of US ZIP code-level data provides mixed evidence in support of a shifting housing preference for more space or neighbourhoods farther from the urban core. Regressions accounting for spatial dependence and spatial heterogeneity show strong support of an urban flight within metro areas, but this local phenomenon is uneven across broad regions of the United States. The finding of geographical disparity underscores both the local as well as the regional nature of housing market conditions.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"395 - 415"},"PeriodicalIF":2.3,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44593055","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}
引用次数: 10
Raising the bar (19) 提高标准(19)
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2022-01-02 DOI: 10.1080/17421772.2022.2018168
P. Elhorst, M. Abreu, P. Amaral, A. Bhattacharjee, Steven Bond‐Smith, C. Chasco, L. Corrado, J. Ditzen, D. Felsenstein, F. Fuerst, P. McCann, V. Monastiriotis, F. Quatraro, Umed Temursho, Jihai Yu
{"title":"Raising the bar (19)","authors":"P. Elhorst, M. Abreu, P. Amaral, A. Bhattacharjee, Steven Bond‐Smith, C. Chasco, L. Corrado, J. Ditzen, D. Felsenstein, F. Fuerst, P. McCann, V. Monastiriotis, F. Quatraro, Umed Temursho, Jihai Yu","doi":"10.1080/17421772.2022.2018168","DOIUrl":"https://doi.org/10.1080/17421772.2022.2018168","url":null,"abstract":"ABSTRACT This editorial summarizes the papers published in issue 17(1) (2022). This issue begins with a second editorial calling on researchers to publish replication results from previous studies. The first paper applies a spatiotemporal Bayesian hierarchical model for understanding the dynamics of second home ownership in Corsica. The second paper determines the optimal time to invest in a new airport using real options analysis. The third paper employs unit root tests to provide empirical evidence that environmental policy changes have not been effective up to now. The fourth paper provides empirical evidence that regional spillover effects should play a crucial role in the policy discussion about climate change. The fifth paper forecasts the direct impact of climate change on crop yields in the agricultural sector and the indirect impacts on other sectors of the Brazilian economy up to 2100. The sixth paper investigates whether the percentage of women in national parliaments positively affects public expenditures on social needs both internally and in neighbouring countries. The seventh paper sets out a general framework for store sales evaluation and prediction.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"1 - 6"},"PeriodicalIF":2.3,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47514694","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}
引用次数: 0
Introducing the Replication Studies section 介绍复制研究部分
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2022-01-02 DOI: 10.1080/17421772.2022.2018169
J. Ditzen, J. Elhorst
{"title":"Introducing the Replication Studies section","authors":"J. Ditzen, J. Elhorst","doi":"10.1080/17421772.2022.2018169","DOIUrl":"https://doi.org/10.1080/17421772.2022.2018169","url":null,"abstract":"Spatial Economic Analysis is pleased to announce a new section, Replication Studies, devoted to short papers that replicate or extend published empirical results and discuss their sensitivity to relevant changes in the model, estimation method and/or interpretation. Empirical studies are part of the backbone of the social sciences because they help to support theories and form policy recommendations. In recent decades there has been a 50% increase in the share of published empirical studies in comparison with articles focused on economic theory and econometric theory. In addition, empirical papers receive more citations than theoretical papers (Angrist et al., 2017). It is 35 years since Dewald et al. (1986) emphasized the importance of replications in empirical research. Out of a sample of 54 published papers in the Journal ofMoney, Credit and Banking in 1980, they found only eight (15%) were replicable without problems and 14 (26%) were incomplete. More recently, Vilhuber (2020) found that about 30% of replication attempts fail. Still, replication studies are not common. Empirical work from well-published and highly cited articles or top five journals is more likely to be reproduced (Berry et al., 2017; Hamermesh, 2007), but the number of replication studies for even well-published works is small. Berry et al. (2017) find that only 3.5% of the papers that cited empirical works published in the American Economic Review in 2010 are replications. Replications in regional science, spatial economics and economic geography are also scarce and unsatisfactory to our knowledge. By contrast, in experimental economics and financial economics, two subfields within the economics literature, replications are more common (Ingerslev et al., 2021 Maniadis et al., 2017). The literature suggests two reasons for the lack of replication studies (Dewald et al., 1986; Galiani et al., 2017; Vilhuber, 2020):","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"7 - 9"},"PeriodicalIF":2.3,"publicationDate":"2022-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48885476","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}
引用次数: 3
Intra-industry agglomeration and the external economies of scale model: empirical evidence from Colombia 产业内集聚与外部规模经济模型:来自哥伦比亚的经验证据
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2021-12-14 DOI: 10.1080/17421772.2021.2009905
Humberto Bernal
{"title":"Intra-industry agglomeration and the external economies of scale model: empirical evidence from Colombia","authors":"Humberto Bernal","doi":"10.1080/17421772.2021.2009905","DOIUrl":"https://doi.org/10.1080/17421772.2021.2009905","url":null,"abstract":"ABSTRACT This paper provides an economic model of localization economies under intra-industry agglomeration. When firms in an industry experience diseconomies of scale and homogeneous goods agglomerate, external economies of scale emerge, creating incentives for competitive firms to agglomerate. This study tests this model on the Colombian basic-plastics industry, using a dynamic panel regression for the period 1995–2015. Data analyses of 195 firms using an agglomerate index revealed the total cost declines by 0.031% as the agglomeration index increases marginally by 1.0%. These findings are beneficial to economic policymakers working to achieve agglomerations in other economic sectors through, for example, free-trade zones.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"332 - 353"},"PeriodicalIF":2.3,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44060830","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}
引用次数: 4
Climate-related natural disasters and forced migration: a spatial regression analysis 与气候有关的自然灾害和强迫移民：空间回归分析
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2021-11-18 DOI: 10.1080/17421772.2021.1995620
Caterina Conigliani, V. Costantini, G. Finardi
{"title":"Climate-related natural disasters and forced migration: a spatial regression analysis","authors":"Caterina Conigliani, V. Costantini, G. Finardi","doi":"10.1080/17421772.2021.1995620","DOIUrl":"https://doi.org/10.1080/17421772.2021.1995620","url":null,"abstract":"ABSTRACT We investigate the role of spatial effects in the analysis of the relationship between climate-related disasters and forced migration. As a case study we select South and Southeast Asia due to the area’s large exposure to these hazards. The spatial regressions show that short- to medium-distance forced migrations are considerably affected by climate-related disasters, independently of the economic expectation associated with the destination. Moreover, we find that this relationship is disaster-type specific. Finally, we detect a competition among migrants, as the decision to move as an adaptation strategy is found to be dependent on the migratory behaviour of neighbouring countries.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"416 - 439"},"PeriodicalIF":2.3,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48251740","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}
引用次数: 4
A simple test for stability of a spatial model 空间模型稳定性的简单测试
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2021-10-27 DOI: 10.1080/17421772.2021.1949483
H. Kelejian, G. Piras
{"title":"A simple test for stability of a spatial model","authors":"H. Kelejian, G. Piras","doi":"10.1080/17421772.2021.1949483","DOIUrl":"https://doi.org/10.1080/17421772.2021.1949483","url":null,"abstract":"ABSTRACT This paper suggests a simple test to check if a spatial model’s specifications hold for the entire sample period, that is, to see if the model is stable. Our test is general in that it allows for possible unknown changes, one or more times, in the weighting matrix, in the exogenous variables and/or in the parameters. These changes may occur cross-sectionally or at unknown points in time. The test also allows for additional endogenous regressors, and the error terms are non-parametrically specified. However, if instabilities are detected, our test does not indicate which set of model components is responsible for it. Our Monte Carlo results suggest that the test has extremely high power for almost all the experiments considered. However, the size of the test is low for small sample sizes when additional endogenous regressors are part of the model.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"245 - 261"},"PeriodicalIF":2.3,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45595182","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}
引用次数: 2
Machine-learning models for bankruptcy prediction: do industrial variables matter? 破产预测的机器学习模型：工业变量重要吗？
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2021-10-07 DOI: 10.1080/17421772.2021.1977377
D. Bragoli, C. Ferretti, P. Ganugi, G. Marseguerra, Davide Mezzogori, F. Zammori
{"title":"Machine-learning models for bankruptcy prediction: do industrial variables matter?","authors":"D. Bragoli, C. Ferretti, P. Ganugi, G. Marseguerra, Davide Mezzogori, F. Zammori","doi":"10.1080/17421772.2021.1977377","DOIUrl":"https://doi.org/10.1080/17421772.2021.1977377","url":null,"abstract":"ABSTRACT We provide a predictive model specifically designed for the Italian economy that classifies solvent and insolvent firms one year in advance using the AIDA Bureau van Dijk data set for the period 2007–15. We apply a full battery of bankruptcy forecasting models, including both traditional and more sophisticated machine-learning techniques, and add to the financial ratios used in the literature a set of industrial/regional variables. We find that XGBoost is the best performer, and that industrial/regional variables are important. Moreover, belonging to a district, having a high mark-up and a greater market share diminish bankruptcy probability.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"156 - 177"},"PeriodicalIF":2.3,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45465969","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}
引用次数: 10
Spatial Economic Analysis 2021 Awards 2021年空间经济分析奖
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2021-10-02 DOI: 10.1080/17421772.2021.1980994
Xun Zhang, Guanghua Wan, Jing Li
{"title":"Spatial Economic Analysis 2021 Awards","authors":"Xun Zhang, Guanghua Wan, Jing Li","doi":"10.1080/17421772.2021.1980994","DOIUrl":"https://doi.org/10.1080/17421772.2021.1980994","url":null,"abstract":"","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"16 1","pages":"570 - 570"},"PeriodicalIF":2.3,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48027196","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}
引用次数: 0
Raising the bar (18) 提高标准(18)
IF 2.3 3区 经济学
Spatial Economic Analysis Pub Date : 2021-10-02 DOI: 10.1080/17421772.2021.1980993
P. Elhorst, M. Abreu, P. Amaral, A. Bhattacharjee, C. Chasco, L. Corrado, J. Ditzen, J. Doran, D. Felsenstein, F. Fuerst, J. Le Gallo, P. McCann, V. Monastiriotis, F. Quatraro, Umed Temursho, Jihai Yu
{"title":"Raising the bar (18)","authors":"P. Elhorst, M. Abreu, P. Amaral, A. Bhattacharjee, C. Chasco, L. Corrado, J. Ditzen, J. Doran, D. Felsenstein, F. Fuerst, J. Le Gallo, P. McCann, V. Monastiriotis, F. Quatraro, Umed Temursho, Jihai Yu","doi":"10.1080/17421772.2021.1980993","DOIUrl":"https://doi.org/10.1080/17421772.2021.1980993","url":null,"abstract":"ABSTRACT This editorial summarizes the papers published in issue 16(4) (2021). The first paper adopts a higher order spatial autoregressive model with endogenous spatial weight matrices. The second paper investigates the existence of the law of one price using regional observations over time. The third paper develops an economic-theoretical model that goes against the common belief that the most productive individuals and firms agglomerate at the core. The fourth paper provides empirical evidence that merger and acquisition deals are more likely to occur between firms in culturally than in geographically contiguous countries. The fifth paper develops a spatial econometric estimator based on the indirect inference principle. The sixth paper examines the investment behaviour of First Nation governments through joint ventures. The seventh paper employs a spatial econometric model with an endogenous spatial weight matrix to construct intraregional input-output models.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"16 1","pages":"417 - 421"},"PeriodicalIF":2.3,"publicationDate":"2021-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45066330","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}
引用次数: 0
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