Pub Date : 2022-05-25DOI: 10.1080/17421772.2022.2077417
Roberto Basile, N. Coniglio, Francesca Licar
ABSTRACT Diasporas play a fundamental role in explaining the location choice of new immigrants. We investigate the spatial dimension of diaspora externalities focusing on immigrants in Italian local labour market areas (LLMAs). We show that the net pull effect of diasporas spills over an estimated average distance of 82 km. We find evidence of negative spatial spillovers at greater geographical distances, suggesting a competition effect from neighbouring diasporas. Ethnic-specific labour markets and ethnic consumption externalities are important channels through which the distance–decay effects of diasporas take place. We also find that the spatial effects of diasporas are highly heterogeneous across gender and origin countries.
{"title":"Distance from diasporas and immigrants’ location choice: evidence from Italy","authors":"Roberto Basile, N. Coniglio, Francesca Licar","doi":"10.1080/17421772.2022.2077417","DOIUrl":"https://doi.org/10.1080/17421772.2022.2077417","url":null,"abstract":"ABSTRACT Diasporas play a fundamental role in explaining the location choice of new immigrants. We investigate the spatial dimension of diaspora externalities focusing on immigrants in Italian local labour market areas (LLMAs). We show that the net pull effect of diasporas spills over an estimated average distance of 82 km. We find evidence of negative spatial spillovers at greater geographical distances, suggesting a competition effect from neighbouring diasporas. Ethnic-specific labour markets and ethnic consumption externalities are important channels through which the distance–decay effects of diasporas take place. We also find that the spatial effects of diasporas are highly heterogeneous across gender and origin countries.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"18 1","pages":"108 - 125"},"PeriodicalIF":2.3,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43199978","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 : 2022-05-19DOI: 10.1080/17421772.2022.2070657
Bartlomiej Rokicki, A. Cieślik
ABSTRACT This paper reconsiders the relationship between individual wages and regional market access. We focus on Poland – a country that has experienced profound changes in market accessibility over the last two decades, first as a consequence of European Union accession in 2004, and second as a result of the unprecedented development of the major road transport network. Using data over the period 2000–15 we find that the positive relationship between wages and regional market access disappears after 2004. At the same time, individual wages begin to be positively correlated with the market potential of Poland’s main trading partners.
{"title":"Rethinking regional wage determinants: regional market potential versus trade partners’ potential","authors":"Bartlomiej Rokicki, A. Cieślik","doi":"10.1080/17421772.2022.2070657","DOIUrl":"https://doi.org/10.1080/17421772.2022.2070657","url":null,"abstract":"ABSTRACT This paper reconsiders the relationship between individual wages and regional market access. We focus on Poland – a country that has experienced profound changes in market accessibility over the last two decades, first as a consequence of European Union accession in 2004, and second as a result of the unprecedented development of the major road transport network. Using data over the period 2000–15 we find that the positive relationship between wages and regional market access disappears after 2004. At the same time, individual wages begin to be positively correlated with the market potential of Poland’s main trading partners.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"18 1","pages":"126 - 142"},"PeriodicalIF":2.3,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49483295","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 : 2022-04-22DOI: 10.1080/17421772.2022.2061722
Gerben van Roekel, M. Smit
ABSTRACT Agglomeration externalities are generally credited as the prime cause of cluster formation. This theory is far from uncontroversial. We create an alternative perspective on clustering by integrating herd behaviour into the conceptualization of this process. An innovative agent-based model is used in which cluster formation is constructed from individual relocation decisions. It thus connects individual relocation decisions to macro-level emergent patterns and shows that imitation has the potential to severely exacerbate the effects of agglomeration economies on clustering on an urban scale. The outcomes of this model challenge the dominant neoclassical view on clustering. An alternative hypothesis is postulated in which the interaction between herd behaviour and agglomeration externalities is proposed as an explanation for cluster formation.
{"title":"Herd behaviour and the emergence of clusters","authors":"Gerben van Roekel, M. Smit","doi":"10.1080/17421772.2022.2061722","DOIUrl":"https://doi.org/10.1080/17421772.2022.2061722","url":null,"abstract":"ABSTRACT Agglomeration externalities are generally credited as the prime cause of cluster formation. This theory is far from uncontroversial. We create an alternative perspective on clustering by integrating herd behaviour into the conceptualization of this process. An innovative agent-based model is used in which cluster formation is constructed from individual relocation decisions. It thus connects individual relocation decisions to macro-level emergent patterns and shows that imitation has the potential to severely exacerbate the effects of agglomeration economies on clustering on an urban scale. The outcomes of this model challenge the dominant neoclassical view on clustering. An alternative hypothesis is postulated in which the interaction between herd behaviour and agglomeration externalities is proposed as an explanation for cluster formation.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"499 - 519"},"PeriodicalIF":2.3,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46921952","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 : 2022-04-03DOI: 10.1080/17421772.2022.2053402
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(2) (2022). The first paper evaluates logistic regression and machine-learning methods for predicting firm bankruptcy. The second paper demonstrates that machine learning outperforms existing tools to improve the estimation of regional input–output tables. The third paper investigates whether network centrality depends on the probability that a tie between two nodes is formed, as well as its intensity. The fourth paper sets out a Bayesian estimation technique to estimate a spatial autoregressive multinomial logit model. The fifth paper develops a statistic to test for several misspecification problems in spatial econometric models. The sixth paper compares the prediction accuracy of spatial and non-spatial econometric models explaining the number of tourist arrivals across countries.
{"title":"Raising the bar (20)","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":"10.1080/17421772.2022.2053402","DOIUrl":"https://doi.org/10.1080/17421772.2022.2053402","url":null,"abstract":"ABSTRACT This editorial summarizes the papers published in issue 17(2) (2022). The first paper evaluates logistic regression and machine-learning methods for predicting firm bankruptcy. The second paper demonstrates that machine learning outperforms existing tools to improve the estimation of regional input–output tables. The third paper investigates whether network centrality depends on the probability that a tie between two nodes is formed, as well as its intensity. The fourth paper sets out a Bayesian estimation technique to estimate a spatial autoregressive multinomial logit model. The fifth paper develops a statistic to test for several misspecification problems in spatial econometric models. The sixth paper compares the prediction accuracy of spatial and non-spatial econometric models explaining the number of tourist arrivals across countries.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"151 - 155"},"PeriodicalIF":2.3,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47515544","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 : 2022-03-18DOI: 10.1080/17421772.2022.2045344
Orsa Kekezi, S. Dall’erba, Dongwoo Kang
ABSTRACT This paper relies on a regional knowledge production function to examine the heterogeneous determinants of knowledge creation across five US manufacturing sectors and 853 metropolitan counties over the period 2001–08. Using a Tobit model with state fixed effects, the results indicate that local intra- and inter-sectoral research and development (R&D) investments by the private sector as well as university R&D play a key role in knowledge creation across all sectors under study. We also find that the role of short- versus long-distance interregional spillovers on knowledge creation varies greatly across sectors. These key features improve the design of future local and national innovation policies.
{"title":"The role of interregional and inter-sectoral knowledge spillovers on regional knowledge creation across US metropolitan counties","authors":"Orsa Kekezi, S. Dall’erba, Dongwoo Kang","doi":"10.1080/17421772.2022.2045344","DOIUrl":"https://doi.org/10.1080/17421772.2022.2045344","url":null,"abstract":"ABSTRACT This paper relies on a regional knowledge production function to examine the heterogeneous determinants of knowledge creation across five US manufacturing sectors and 853 metropolitan counties over the period 2001–08. Using a Tobit model with state fixed effects, the results indicate that local intra- and inter-sectoral research and development (R&D) investments by the private sector as well as university R&D play a key role in knowledge creation across all sectors under study. We also find that the role of short- versus long-distance interregional spillovers on knowledge creation varies greatly across sectors. These key features improve the design of future local and national innovation policies.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"291 - 310"},"PeriodicalIF":2.3,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46567986","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 : 2022-02-19DOI: 10.1080/17421772.2022.2036361
Massimo Giannini, Cristiana Fiorelli, B. Martini
ABSTRACT This study examines the effects of ageing on per capita labour income, consumption and wealth of the working population in Italian provinces. Starting from the overlapping generations (OLG) model of perpetual youth, we estimate a spatial vector autoregressive (VAR) model to investigate how ageing affects the model’s dynamics. We find that ageing positively impacts per capita labour income and wealth, consequently having an adverse effect on consumption (over-accumulation). A simple exercise shows that over-accumulation is beneficial to the Italian social security system.
{"title":"Ageing in the labour market: a spatial VAR approach","authors":"Massimo Giannini, Cristiana Fiorelli, B. Martini","doi":"10.1080/17421772.2022.2036361","DOIUrl":"https://doi.org/10.1080/17421772.2022.2036361","url":null,"abstract":"ABSTRACT This study examines the effects of ageing on per capita labour income, consumption and wealth of the working population in Italian provinces. Starting from the overlapping generations (OLG) model of perpetual youth, we estimate a spatial vector autoregressive (VAR) model to investigate how ageing affects the model’s dynamics. We find that ageing positively impacts per capita labour income and wealth, consequently having an adverse effect on consumption (over-accumulation). A simple exercise shows that over-accumulation is beneficial to the Italian social security system.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"538 - 556"},"PeriodicalIF":2.3,"publicationDate":"2022-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45373813","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 : 2022-02-17DOI: 10.1080/17421772.2022.2036362
Daniel Forero-Vargas, Victor Iturra
ABSTRACT The economic and social crisis faced by Venezuela since 2013 has led to a massive migration of its population to neighbouring countries, with Colombia being the nation that has been the most impacted. This paper estimates the impact of Venezuelan immigration on housing rents in Colombia’s main cities. Using a repeated cross-section data of Colombian households between 2013 and 2019, along with an instrumental variables approach, this study finds that a 1% increase in the proportion of Venezuelan immigrants to residents in the main cities in Colombia raises housing rents, on average, by about 1.25%.
{"title":"Assessing the impact of recent Venezuelan immigration on housing rents in Colombia","authors":"Daniel Forero-Vargas, Victor Iturra","doi":"10.1080/17421772.2022.2036362","DOIUrl":"https://doi.org/10.1080/17421772.2022.2036362","url":null,"abstract":"ABSTRACT The economic and social crisis faced by Venezuela since 2013 has led to a massive migration of its population to neighbouring countries, with Colombia being the nation that has been the most impacted. This paper estimates the impact of Venezuelan immigration on housing rents in Colombia’s main cities. Using a repeated cross-section data of Colombian households between 2013 and 2019, along with an instrumental variables approach, this study finds that a 1% increase in the proportion of Venezuelan immigrants to residents in the main cities in Colombia raises housing rents, on average, by about 1.25%.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"520 - 537"},"PeriodicalIF":2.3,"publicationDate":"2022-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42415579","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 : 2022-01-24DOI: 10.1080/17421772.2021.2020889
Shishir Shakya, Alicia Plemmons
ABSTRACT Historically, compensation and productivity steadily trended synchronously with one another. However, since the mid-1970s, these two measures have diverged as productivity increases have outpaced compensation. This divergence is indicative of evidence of wage stagnation and rising income inequality. We provide arguments on the productivity–compensation gap and illuminate possible explanations about whether and why the gap exists in different industries incorporating spatial and trade networks. We confirm that the gap narrows once we account for productivity spillovers between bordering and trading states using spatially lagged X (SLX) models. The results vary across industries and provide insights for policymakers and firms about productivity and compensation patterns.
{"title":"Productivity spillovers and the productivity–compensation gap","authors":"Shishir Shakya, Alicia Plemmons","doi":"10.1080/17421772.2021.2020889","DOIUrl":"https://doi.org/10.1080/17421772.2021.2020889","url":null,"abstract":"ABSTRACT Historically, compensation and productivity steadily trended synchronously with one another. However, since the mid-1970s, these two measures have diverged as productivity increases have outpaced compensation. This divergence is indicative of evidence of wage stagnation and rising income inequality. We provide arguments on the productivity–compensation gap and illuminate possible explanations about whether and why the gap exists in different industries incorporating spatial and trade networks. We confirm that the gap narrows once we account for productivity spillovers between bordering and trading states using spatially lagged X (SLX) models. The results vary across industries and provide insights for policymakers and firms about productivity and compensation patterns.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"354 - 369"},"PeriodicalIF":2.3,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44029792","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 : 2022-01-18DOI: 10.1080/17421772.2021.2014944
Hiroshi Ikari, Tatsuhito Kono, Yiming Zhou
ABSTRACT We investigate the cumulative causation between agglomeration of skilled workers and technological growth across cities with human capital externalities and agglomeration economies. We classify industry sectors in terms of technological growth: a modern sector with improving technology and a traditional sector with mature technology. Our model includes multiple specialization patterns of modern and traditional sectors across cities. We show that both ‘the cumulative causation between the agglomeration of skilled workers and technological growth’ and ‘the impacts of transport costs on that causation’ differ across industrial specialization patterns, implying that industrial specialization patterns matter for technological growth.
{"title":"Industrial specialization patterns across cities, agglomeration of skilled labour and technological growth","authors":"Hiroshi Ikari, Tatsuhito Kono, Yiming Zhou","doi":"10.1080/17421772.2021.2014944","DOIUrl":"https://doi.org/10.1080/17421772.2021.2014944","url":null,"abstract":"ABSTRACT We investigate the cumulative causation between agglomeration of skilled workers and technological growth across cities with human capital externalities and agglomeration economies. We classify industry sectors in terms of technological growth: a modern sector with improving technology and a traditional sector with mature technology. Our model includes multiple specialization patterns of modern and traditional sectors across cities. We show that both ‘the cumulative causation between the agglomeration of skilled workers and technological growth’ and ‘the impacts of transport costs on that causation’ differ across industrial specialization patterns, implying that industrial specialization patterns matter for technological growth.","PeriodicalId":47008,"journal":{"name":"Spatial Economic Analysis","volume":"17 1","pages":"311 - 331"},"PeriodicalIF":2.3,"publicationDate":"2022-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48383078","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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