Pub Date : 2022-01-12DOI: 10.1080/17421772.2021.2012584
Sofía Jiménez, E. Dietzenbacher, R. Duarte, Julio Sánchez‐Chóliz
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.
{"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}
Pub Date : 2022-01-10DOI: 10.1080/17421772.2021.2018028
Jim Lee, Yuxia Huang
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.
{"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}
Pub Date : 2022-01-02DOI: 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
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.
{"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}
Pub Date : 2022-01-02DOI: 10.1080/17421772.2022.2018169
J. Ditzen, J. Elhorst
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):
空间经济分析很高兴宣布开设一个新的部分，即复制研究，专门介绍复制或扩展已发表的实证结果的简短论文，并讨论它们对模型、估计方法和/或解释的相关变化的敏感性。实证研究是社会科学支柱的一部分，因为它们有助于支持理论和形成政策建议。近几十年来，与专注于经济理论和计量经济学理论的文章相比，已发表的实证研究的份额增加了50%。此外，实证论文比理论论文被引用更多（Angrist et al.，2017）。Dewald等人（1986）在实证研究中强调复制的重要性已经35年了。在1980年发表在《货币、信贷和银行学杂志》上的54篇论文样本中，他们发现只有8篇（15%）是可以复制的，没有问题，14篇（26%）是不完整的。最近，Vilhuber（2020）发现，大约30%的复制尝试失败。不过，复制研究并不常见。来自发表良好、引用率高的文章或排名前五的期刊的实证研究更有可能被复制（Berry et al.，2017；Hamermesh，2007），但即使是发表良好的作品，复制研究的数量也很少。Berry等人（2017）发现，在2010年发表在《美国经济评论》上的引用实证著作的论文中，只有3.5%是复制品。区域科学、空间经济学和经济地理学的复制品也很少，而且据我们所知并不令人满意。相比之下，在实验经济学和金融经济学这两个经济学文献中的子领域中，复制更为常见（Ingerslev et al.，2021 Maniadis et al.，2017）。文献提出了缺乏复制研究的两个原因（Dewald等人，1986；Galiani等人，2017；Vilhuber，2020）：
{"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}
Pub Date : 2021-12-14DOI: 10.1080/17421772.2021.2009905
Humberto Bernal
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.
{"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}
Pub Date : 2021-11-18DOI: 10.1080/17421772.2021.1995620
Caterina Conigliani, V. Costantini, G. Finardi
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.
{"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}
Pub Date : 2021-10-27DOI: 10.1080/17421772.2021.1949483
H. Kelejian, G. Piras
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.
{"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}
Pub Date : 2021-10-07DOI: 10.1080/17421772.2021.1977377
D. Bragoli, C. Ferretti, P. Ganugi, G. Marseguerra, Davide Mezzogori, F. Zammori
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.
{"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}
Pub Date : 2021-10-02DOI: 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
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.
{"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}
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