Pub Date : 2023-12-08DOI: 10.1177/01600176231217952
Bernard Fingleton
Using a dynamic spatial panel model applied to 377 US Metropolitan Statistical Areas (MSAs), estimated over the period 2011-2021, significant differences are found between large MSAs regarding the relationship between labour productivity and economic mass, as measured by GDP. The methodology adopted illustrates the state of the art for spatial econometric modeling as it is often needed in practice, allowing for multiple endogenous regressors and dynamic effects. The estimation method applies synthetic instruments designed to limit negative effects of instrument overabundance.
{"title":"A Spatial Econometric Analysis of Productivity Variations Across US Cities","authors":"Bernard Fingleton","doi":"10.1177/01600176231217952","DOIUrl":"https://doi.org/10.1177/01600176231217952","url":null,"abstract":"Using a dynamic spatial panel model applied to 377 US Metropolitan Statistical Areas (MSAs), estimated over the period 2011-2021, significant differences are found between large MSAs regarding the relationship between labour productivity and economic mass, as measured by GDP. The methodology adopted illustrates the state of the art for spatial econometric modeling as it is often needed in practice, allowing for multiple endogenous regressors and dynamic effects. The estimation method applies synthetic instruments designed to limit negative effects of instrument overabundance.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"9 5","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138586274","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 : 2023-11-14DOI: 10.1177/01600176231214205
Sung Eun Sally Oh, Daeyoung Kwon, Brian H. S. Kim
COVID-19 exacerbated food system vulnerabilities globally. This study assesses the impact of shock events on food accessibility in New York City (NYC) by examining its association with neighborhood characteristics between 2019 and 2020. We model food accessibility using socioeconomic and built environment factors, adjusting for spatial effects with spatial econometric models and geographically weighted regression (GWR). Our spatial modeling methods reveal diverging relationships between minority racial/ethnic groups and food accessibility, as well as a negative change in the effect of income. Overall, our results indicate that food accessibility worsened or polarized during the pandemic, suggesting the need for improved network connectivity and smaller-scale food stores to achieve equitable and resilient food systems.
{"title":"Neighborhood Food Accessibility and Health Disparity: Examining the Impact of COVID-19 Using Spatial Models","authors":"Sung Eun Sally Oh, Daeyoung Kwon, Brian H. S. Kim","doi":"10.1177/01600176231214205","DOIUrl":"https://doi.org/10.1177/01600176231214205","url":null,"abstract":"COVID-19 exacerbated food system vulnerabilities globally. This study assesses the impact of shock events on food accessibility in New York City (NYC) by examining its association with neighborhood characteristics between 2019 and 2020. We model food accessibility using socioeconomic and built environment factors, adjusting for spatial effects with spatial econometric models and geographically weighted regression (GWR). Our spatial modeling methods reveal diverging relationships between minority racial/ethnic groups and food accessibility, as well as a negative change in the effect of income. Overall, our results indicate that food accessibility worsened or polarized during the pandemic, suggesting the need for improved network connectivity and smaller-scale food stores to achieve equitable and resilient food systems.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"38 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134992427","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 : 2023-10-04DOI: 10.1177/01600176231202451
Ian Sue Wing, Adam Rose, Dan Wei, Anne Wein
We develop and apply a dynamic economic simulation model to analyze the multi-regional impacts of, and mechanisms of recovery from, a major disaster, the HayWired scenario — a hypothetical Magnitude 7.0 earthquake affecting California’s San Francisco Bay Area. The model integrates loss pathways: capital stock damage, labor supply shocks due to short-term population displacement and longer-run out-migration from damaged areas, and the exacerbating effects of damage to transportation infrastructure capital, as well as various aspects of static and dynamic economic resilience. With input substitution-based static inherent resilience and dynamic resilience in the form of optimal intertemporal and spatial investment allocation, gross output losses range from 0.5 percent to 6 percent across regions, and welfare losses are 0.4 percent statewide but can be ten times as large in hardest-hit areas. Large-scale reconstruction investment is supported by substantial interregional transfers of resources through intra-state trade. Increased output via firms engaging in the key adaptive resilience tactic of production recapture can alleviate a substantial fraction of losses—but only if upstream and downstream barriers to recovery can be lowered quickly.
{"title":"The Long Shadow of a Major Disaster: Modeled Dynamic Impacts of the Hypothetical HayWired Earthquake on California’s Economy","authors":"Ian Sue Wing, Adam Rose, Dan Wei, Anne Wein","doi":"10.1177/01600176231202451","DOIUrl":"https://doi.org/10.1177/01600176231202451","url":null,"abstract":"We develop and apply a dynamic economic simulation model to analyze the multi-regional impacts of, and mechanisms of recovery from, a major disaster, the HayWired scenario — a hypothetical Magnitude 7.0 earthquake affecting California’s San Francisco Bay Area. The model integrates loss pathways: capital stock damage, labor supply shocks due to short-term population displacement and longer-run out-migration from damaged areas, and the exacerbating effects of damage to transportation infrastructure capital, as well as various aspects of static and dynamic economic resilience. With input substitution-based static inherent resilience and dynamic resilience in the form of optimal intertemporal and spatial investment allocation, gross output losses range from 0.5 percent to 6 percent across regions, and welfare losses are 0.4 percent statewide but can be ten times as large in hardest-hit areas. Large-scale reconstruction investment is supported by substantial interregional transfers of resources through intra-state trade. Increased output via firms engaging in the key adaptive resilience tactic of production recapture can alleviate a substantial fraction of losses—but only if upstream and downstream barriers to recovery can be lowered quickly.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135590672","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 : 2023-10-03DOI: 10.1177/01600176231202457
Elizabeth A. Mack, Scott Loveridge, Thomas Keene, John Mann
This article provides a systematic review of the quantitative social science research on broadband Internet technology in rural areas. Specifically, we summarize the literature on 1) rural broadband availability and adoption behaviors and 2) the implications of these behaviors for rural businesses, public policy initiatives, and regional development. In the studies reviewed, rural areas suffer from both lower availability and lower adoption rates compared to their urban counterparts. However, researchers disagree on whether supply frictions inherent to rural areas or heterogeneous demand and adoption behaviors are the major cause of this outcome. Researchers widely agree that high-speed Internet improves economic outcomes of rural areas, whether it is through increases in business activity or in more general economic development measures (e.g. productivity, jobs, income). Impact evaluations of rural broadband policy initiatives produced mixed results, highlighting the need for a better understanding of agents’ incentives. This review points to four areas for future research. One, assessments of the long-term impact of broadband on rural economies. Two, analyses of the net effect of broadband on economic development outcomes (e.g. migrants, job creation). Three, assessments of economic development impacts associated with broadband speed. Four, assessments of the efficacy of broadband policies.
{"title":"A Review of the Literature About Broadband Internet Connections and Rural Development (1995-2022)","authors":"Elizabeth A. Mack, Scott Loveridge, Thomas Keene, John Mann","doi":"10.1177/01600176231202457","DOIUrl":"https://doi.org/10.1177/01600176231202457","url":null,"abstract":"This article provides a systematic review of the quantitative social science research on broadband Internet technology in rural areas. Specifically, we summarize the literature on 1) rural broadband availability and adoption behaviors and 2) the implications of these behaviors for rural businesses, public policy initiatives, and regional development. In the studies reviewed, rural areas suffer from both lower availability and lower adoption rates compared to their urban counterparts. However, researchers disagree on whether supply frictions inherent to rural areas or heterogeneous demand and adoption behaviors are the major cause of this outcome. Researchers widely agree that high-speed Internet improves economic outcomes of rural areas, whether it is through increases in business activity or in more general economic development measures (e.g. productivity, jobs, income). Impact evaluations of rural broadband policy initiatives produced mixed results, highlighting the need for a better understanding of agents’ incentives. This review points to four areas for future research. One, assessments of the long-term impact of broadband on rural economies. Two, analyses of the net effect of broadband on economic development outcomes (e.g. migrants, job creation). Three, assessments of economic development impacts associated with broadband speed. Four, assessments of the efficacy of broadband policies.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135695856","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 : 2023-07-12DOI: 10.1177/01600176231189433
Sébastien Bourdin, N. Levratto
This special issue of the International Regional Science Review illuminates the “geography of COVID-19”, examining the spatial patterns, distribution, and interconnectedness of COVID-19 cases. It explores the regional disparities in infection rates, highlighting how socioeconomic factors, mobility, and healthcare accessibility contributed to these inequalities. The issue is divided into three sections, focusing on regional economic dynamics and labor markets, public health responses and vaccination policies, and social and demographic vulnerabilities. Each section comprises research papers presenting insights and analyses on their respective topics, from labor mobility responses to vaccine hesitancy, job insecurity, regional resilience, and more. This issue underscores the importance of regional science in addressing the multifaceted challenges posed by the pandemic and formulating effective, location-specific strategies to mitigate its impacts.
{"title":"Regional Implications of COVID-19","authors":"Sébastien Bourdin, N. Levratto","doi":"10.1177/01600176231189433","DOIUrl":"https://doi.org/10.1177/01600176231189433","url":null,"abstract":"This special issue of the International Regional Science Review illuminates the “geography of COVID-19”, examining the spatial patterns, distribution, and interconnectedness of COVID-19 cases. It explores the regional disparities in infection rates, highlighting how socioeconomic factors, mobility, and healthcare accessibility contributed to these inequalities. The issue is divided into three sections, focusing on regional economic dynamics and labor markets, public health responses and vaccination policies, and social and demographic vulnerabilities. Each section comprises research papers presenting insights and analyses on their respective topics, from labor mobility responses to vaccine hesitancy, job insecurity, regional resilience, and more. This issue underscores the importance of regional science in addressing the multifaceted challenges posed by the pandemic and formulating effective, location-specific strategies to mitigate its impacts.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48867611","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 : 2023-05-31DOI: 10.1177/01600176231173433
B. Karahasan
New firms have been regarded as one of the key elements for local development. Existing studies focus on the direct impact of new firms via labour markets and job creation. However, the impact of new firms on regional innovation is less investigated. Our analyses are conducted for a developing country, Turkey. Findings of the study show that new firms are crucial for the regional differences in innovation. Results are robust to spatial dependence, an alternative firm formation measure, various regional controls and endogeneity issues. Additionally, impact of the new firms is spatially non-homogenous reminding the ineffectiveness of one-size-fits-all type policies.
{"title":"Do New Firms Boost Local Innovation? Evidence From Turkey","authors":"B. Karahasan","doi":"10.1177/01600176231173433","DOIUrl":"https://doi.org/10.1177/01600176231173433","url":null,"abstract":"New firms have been regarded as one of the key elements for local development. Existing studies focus on the direct impact of new firms via labour markets and job creation. However, the impact of new firms on regional innovation is less investigated. Our analyses are conducted for a developing country, Turkey. Findings of the study show that new firms are crucial for the regional differences in innovation. Results are robust to spatial dependence, an alternative firm formation measure, various regional controls and endogeneity issues. Additionally, impact of the new firms is spatially non-homogenous reminding the ineffectiveness of one-size-fits-all type policies.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49015670","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 : 2023-05-29DOI: 10.1177/01600176231177672
Yan Xu, Shengjun Zhu
While the impact of transport infrastructure on regional disparity has been widely examined, its effect on intra-regional inequality has received less attention. Based on panel data at China’s prefecture-city level during 2007–2018, we adopt the Difference-in-Differences model to investigate whether high-speed rail affects one type of intra-regional inequality, the urban-rural income gap. The results show that high-speed rail operation has widened the urban-rural income gap by boosting the agglomeration of population, financial capital, and economic activities in urban areas adjacent to high-speed rail stations. Furthermore, the effect varies across cities. The impact of high-speed rail on the urban-rural income gap is more evident in small and less developed cities due to the polarization effect. In contrast, this is not observed in large and developed cities. One possible reason is that, in the latter, the diffusion effect is much stronger.
{"title":"Transport Infrastructure, Intra-Regional Inequality and Urban-Rural Divide: Evidence From China’s High-Speed Rail Construction","authors":"Yan Xu, Shengjun Zhu","doi":"10.1177/01600176231177672","DOIUrl":"https://doi.org/10.1177/01600176231177672","url":null,"abstract":"While the impact of transport infrastructure on regional disparity has been widely examined, its effect on intra-regional inequality has received less attention. Based on panel data at China’s prefecture-city level during 2007–2018, we adopt the Difference-in-Differences model to investigate whether high-speed rail affects one type of intra-regional inequality, the urban-rural income gap. The results show that high-speed rail operation has widened the urban-rural income gap by boosting the agglomeration of population, financial capital, and economic activities in urban areas adjacent to high-speed rail stations. Furthermore, the effect varies across cities. The impact of high-speed rail on the urban-rural income gap is more evident in small and less developed cities due to the polarization effect. In contrast, this is not observed in large and developed cities. One possible reason is that, in the latter, the diffusion effect is much stronger.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44283098","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 : 2023-05-15DOI: 10.1177/01600176231173437
Seung‐hun Chung, M. Partridge
Economic development can be influenced by various policies such as improving infrastructure, changing the legal system, or increasing educational attainment. However, to the extent that culture influences economic outcomes, that is very difficult for policy to alter. To examine culture’s role, we assess religion’s influence on historical regional economic development using 19th-century Prussian data. We find that compared to predominantly Catholic Prussian regions, Protestantism facilitated 19th-century industrialization and agricultural productivity growth. On the other hand, there was not a positive and significant impact of Protestantism on early 19th-century regional population growth, though there is a negative and significant effect in the latter 19th century. This result is robust to using IV regression. Protestantism’s positive impacts on the growth of industrialization and agricultural growth is not explained by differing education levels or by differing birthrates across regions, ruling out other indirect effects of Protestantism, suggesting other cultural roles of religion.
{"title":"Impact of Religion on Regional Economic Development: Evidence From 19th Century Prussia","authors":"Seung‐hun Chung, M. Partridge","doi":"10.1177/01600176231173437","DOIUrl":"https://doi.org/10.1177/01600176231173437","url":null,"abstract":"Economic development can be influenced by various policies such as improving infrastructure, changing the legal system, or increasing educational attainment. However, to the extent that culture influences economic outcomes, that is very difficult for policy to alter. To examine culture’s role, we assess religion’s influence on historical regional economic development using 19th-century Prussian data. We find that compared to predominantly Catholic Prussian regions, Protestantism facilitated 19th-century industrialization and agricultural productivity growth. On the other hand, there was not a positive and significant impact of Protestantism on early 19th-century regional population growth, though there is a negative and significant effect in the latter 19th century. This result is robust to using IV regression. Protestantism’s positive impacts on the growth of industrialization and agricultural growth is not explained by differing education levels or by differing birthrates across regions, ruling out other indirect effects of Protestantism, suggesting other cultural roles of religion.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42547013","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 : 2023-05-10DOI: 10.1177/01600176231160491
Paul H. Jung, J. Thill
We explore how the hub-and-spoke system in the international freight transportation network contributes to the global shrinkage of space. The friction in long-distance trade routes varies by the location of shippers and nodal characteristics of traversed ports, and is mitigated by the quality of scale economies driven by the hub-and-spoke distribution system along the trajectory of the logistic process. In order to confirm the shrinkage of space brought about by the hub-and-spoke shipping economies through transshipment routes via hub ports, we examine disaggregated cross-Atlantic cargo shipping trajectory data from Europe to the U.S. recorded both on landside and seaside with a discrete choice model. The results present that hub-and-spoke shipping economies arise with the scales of landside and maritime port operations and with shipping line diversity. Generally, they are found to offset distance friction that occurs along landside and maritime shipping voyages, but hub-and-spoke shipping economies arise differently depending on how hub-and-spoke configurations are set. They mainly stem from larger scale of ports’ operation and more diverse shipping lines serving the final port of export. The hub-and-spoke system is confirmed as a main driver of global shrinkage of space in terms of long-distance commercial activities.
{"title":"Global Shrinkage of Space and the Hub-and-Spoke System in the Global Trade Network","authors":"Paul H. Jung, J. Thill","doi":"10.1177/01600176231160491","DOIUrl":"https://doi.org/10.1177/01600176231160491","url":null,"abstract":"We explore how the hub-and-spoke system in the international freight transportation network contributes to the global shrinkage of space. The friction in long-distance trade routes varies by the location of shippers and nodal characteristics of traversed ports, and is mitigated by the quality of scale economies driven by the hub-and-spoke distribution system along the trajectory of the logistic process. In order to confirm the shrinkage of space brought about by the hub-and-spoke shipping economies through transshipment routes via hub ports, we examine disaggregated cross-Atlantic cargo shipping trajectory data from Europe to the U.S. recorded both on landside and seaside with a discrete choice model. The results present that hub-and-spoke shipping economies arise with the scales of landside and maritime port operations and with shipping line diversity. Generally, they are found to offset distance friction that occurs along landside and maritime shipping voyages, but hub-and-spoke shipping economies arise differently depending on how hub-and-spoke configurations are set. They mainly stem from larger scale of ports’ operation and more diverse shipping lines serving the final port of export. The hub-and-spoke system is confirmed as a main driver of global shrinkage of space in terms of long-distance commercial activities.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47896093","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 : 2023-05-03DOI: 10.1177/01600176231173438
G. Arbia, V. Nardelli
Macro econometrics has been recently affected by the so-called ‘Google Econometrics’. Comparatively less attention has been paid to the subject by the regional and spatial sciences where the Big Data revolution is challenging the conventional econometric techniques with the availability of a variety of non- traditionally collected data (such as, e. g., crowdsourcing, web scraping, etc) which are almost invariably geo-coded. However, these unconventionally collected data represent only what in statistics is known as a “convenience sample” that does not allow any sound probabilistic inference. This paper aims at making aware researchers of the consequence of the unwise use of such data in the applied work and to propose a technique to minimize such the negative effects in the estimation of spatial regression. The method consists of manipulating the data prior their use in an inferential context.
{"title":"Using Web-Data to Estimate Spatial Regression Models","authors":"G. Arbia, V. Nardelli","doi":"10.1177/01600176231173438","DOIUrl":"https://doi.org/10.1177/01600176231173438","url":null,"abstract":"Macro econometrics has been recently affected by the so-called ‘Google Econometrics’. Comparatively less attention has been paid to the subject by the regional and spatial sciences where the Big Data revolution is challenging the conventional econometric techniques with the availability of a variety of non- traditionally collected data (such as, e. g., crowdsourcing, web scraping, etc) which are almost invariably geo-coded. However, these unconventionally collected data represent only what in statistics is known as a “convenience sample” that does not allow any sound probabilistic inference. This paper aims at making aware researchers of the consequence of the unwise use of such data in the applied work and to propose a technique to minimize such the negative effects in the estimation of spatial regression. The method consists of manipulating the data prior their use in an inferential context.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43218599","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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