Pub Date : 2022-10-13DOI: 10.1177/01600176221132231
Junghoo Park
This study examines the relationship between statewide contexts and individuals’ COVID-19 vaccine hesitancy by using the Household Pulse Survey, a national and near real-time data timely deployed by the U.S. Census Bureau. Controlling for the individual- and state-level variables in addition to temporal effect, this study finds that racial and ethnic minorities and COVID-19-infected people are more hesitant than their counterparts to receive a vaccine. Individuals who reside in a state where more stringent social distancing measures – particularly mask mandate – are implemented and vaccine rollout conditions are better appear to be less hesitant to receive a COVID-19 vaccine. Vulnerable subpopulation groups such as people of color and COVID-19-infected individuals are more hesitant to vaccine uptake even if regional circumstances are equal. These findings suggest that the continuation and extension of vaccine campaigns at the regional as well as individual levels are all important for expediting COVID-19 vaccination and reducing vaccine hesitancy as the world is in the middle of the third year of the pandemic.
{"title":"Regional Disparities in COVID-19 Vaccine Hesitancy: The Moderating Role of Social Distancing and Vaccine Rollout in the U.S.","authors":"Junghoo Park","doi":"10.1177/01600176221132231","DOIUrl":"https://doi.org/10.1177/01600176221132231","url":null,"abstract":"This study examines the relationship between statewide contexts and individuals’ COVID-19 vaccine hesitancy by using the Household Pulse Survey, a national and near real-time data timely deployed by the U.S. Census Bureau. Controlling for the individual- and state-level variables in addition to temporal effect, this study finds that racial and ethnic minorities and COVID-19-infected people are more hesitant than their counterparts to receive a vaccine. Individuals who reside in a state where more stringent social distancing measures – particularly mask mandate – are implemented and vaccine rollout conditions are better appear to be less hesitant to receive a COVID-19 vaccine. Vulnerable subpopulation groups such as people of color and COVID-19-infected individuals are more hesitant to vaccine uptake even if regional circumstances are equal. These findings suggest that the continuation and extension of vaccine campaigns at the regional as well as individual levels are all important for expediting COVID-19 vaccination and reducing vaccine hesitancy as the world is in the middle of the third year of the pandemic.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47150601","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 : 2022-10-08DOI: 10.1177/01600176221125700
André Carrascal-Incera, G. Hewings
Consumer expenditures in the United Kingdom account for over 50% of Gross Domestic Product on the expenditure side, yet their impact on economic activity is often overshadowed by attention to technological change, value chain analysis and especially international trade. In this paper, a recently developed interregional model of the UK economy, SEIM (Socio-Economic Impact Model) will be used to provide some parallel perspectives to the role of interregional trade in goods and services by focusing on the interregional structure and impact of income and expenditures by households. Drawing on the original contributions of Miyazawa (1976) to highlight the contribution and structure of income interdependence complemented by interpretations offered by average propagation length, field of influence, and feedback loop analyses. The findings reveal the nature and strength of asymmetries in the structure of income formation and their impacts across the multiregional system. While there is only modest variation in aggregate income propagation by region, the accumulation of income is dominated by regions in the London area and secondarily by other metropolitan areas providing a source of explanation for the sustained income inequalities that have characterized the UK economy for almost a century.
{"title":"Income Interdependence in the UK Multi-Regional Economy: A Meso-Level Analysis","authors":"André Carrascal-Incera, G. Hewings","doi":"10.1177/01600176221125700","DOIUrl":"https://doi.org/10.1177/01600176221125700","url":null,"abstract":"Consumer expenditures in the United Kingdom account for over 50% of Gross Domestic Product on the expenditure side, yet their impact on economic activity is often overshadowed by attention to technological change, value chain analysis and especially international trade. In this paper, a recently developed interregional model of the UK economy, SEIM (Socio-Economic Impact Model) will be used to provide some parallel perspectives to the role of interregional trade in goods and services by focusing on the interregional structure and impact of income and expenditures by households. Drawing on the original contributions of Miyazawa (1976) to highlight the contribution and structure of income interdependence complemented by interpretations offered by average propagation length, field of influence, and feedback loop analyses. The findings reveal the nature and strength of asymmetries in the structure of income formation and their impacts across the multiregional system. While there is only modest variation in aggregate income propagation by region, the accumulation of income is dominated by regions in the London area and secondarily by other metropolitan areas providing a source of explanation for the sustained income inequalities that have characterized the UK economy for almost a century.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"1 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42407556","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 : 2022-09-24DOI: 10.1177/01600176221125692
S. Craig, Edward C. Hoang, J. Kohlhase
Our paper explores the broad influences that stimulate technological change in governmental service delivery. Using panel data by state, we examine whether residents are able to apply for Unemployment Insurance (UI) benefits via technology services such as the internet or automated telephone, or are required to apply in person. The reduced form model tests for the relative influence of residential demand, political pressure, and bureaucratic influence. We find that it is the dispersion of the urban population across a state that provides the impetus for government adoption of new technology, in stark contrast to the importance of urban concentration found for the private sector. A unique additional influence we test is the ability of the entrenched bureaucracy to impede technology options. We find that governors of either political party in their term-limited term—when compromise with bureaucrats is less important—save 4% in administrative costs. We find that technology adoption can be delayed but not prevented by bureaucratic interests.
{"title":"Adoption of Technological Change in the Public Sector: Evidence From US States","authors":"S. Craig, Edward C. Hoang, J. Kohlhase","doi":"10.1177/01600176221125692","DOIUrl":"https://doi.org/10.1177/01600176221125692","url":null,"abstract":"Our paper explores the broad influences that stimulate technological change in governmental service delivery. Using panel data by state, we examine whether residents are able to apply for Unemployment Insurance (UI) benefits via technology services such as the internet or automated telephone, or are required to apply in person. The reduced form model tests for the relative influence of residential demand, political pressure, and bureaucratic influence. We find that it is the dispersion of the urban population across a state that provides the impetus for government adoption of new technology, in stark contrast to the importance of urban concentration found for the private sector. A unique additional influence we test is the ability of the entrenched bureaucracy to impede technology options. We find that governors of either political party in their term-limited term—when compromise with bureaucrats is less important—save 4% in administrative costs. We find that technology adoption can be delayed but not prevented by bureaucratic interests.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"299 - 327"},"PeriodicalIF":2.3,"publicationDate":"2022-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44439121","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 : 2022-09-16DOI: 10.1177/01600176221125703
Ana María López-Villuendas, Cristina del Campo
The aim of this research is to identify the regional economic disparities in the level of economic wealth and its dynamics in the NUTS 3 regions in EU28 over the period from 2000 to 2017. By performing a time-series clustering analysis at NUTS 3 level, we expect to uncover the economic disparities that might have been hidden in the aggregate NUTS 2 regions. Our results indicate that at a finer spatial scale (NUTS 3 level) disparities flourish, particularly in the period after the global crisis of 2008, in which different recovery rates are observed. In general, NUTS 2 regions tend to spatially cluster at the national level and, although NUTS 3 regions show slightly this tendency as well, the spatial effect is not as strong as it is for NUTS 2 level, revealing specific behaviours of the local economies and markets that remain hidden at the aggregate NUTS 2 level.
{"title":"Regional Economic Disparities in Europe: Time-Series Clustering of NUTS 3 Regions","authors":"Ana María López-Villuendas, Cristina del Campo","doi":"10.1177/01600176221125703","DOIUrl":"https://doi.org/10.1177/01600176221125703","url":null,"abstract":"The aim of this research is to identify the regional economic disparities in the level of economic wealth and its dynamics in the NUTS 3 regions in EU28 over the period from 2000 to 2017. By performing a time-series clustering analysis at NUTS 3 level, we expect to uncover the economic disparities that might have been hidden in the aggregate NUTS 2 regions. Our results indicate that at a finer spatial scale (NUTS 3 level) disparities flourish, particularly in the period after the global crisis of 2008, in which different recovery rates are observed. In general, NUTS 2 regions tend to spatially cluster at the national level and, although NUTS 3 regions show slightly this tendency as well, the spatial effect is not as strong as it is for NUTS 2 level, revealing specific behaviours of the local economies and markets that remain hidden at the aggregate NUTS 2 level.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"265 - 298"},"PeriodicalIF":2.3,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43961111","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 : 2022-09-15DOI: 10.1177/01600176221125693
S. Bagchi‐Sen, Elizabeth A. Mack
This focused issue entitled “Universities and Regional Development” contains three papers. All three papers focus on universities and their involvement in translating research for commercialization, which in turn supports economic development that often extends beyond the local region.
{"title":"Universities and Regional Development","authors":"S. Bagchi‐Sen, Elizabeth A. Mack","doi":"10.1177/01600176221125693","DOIUrl":"https://doi.org/10.1177/01600176221125693","url":null,"abstract":"This focused issue entitled “Universities and Regional Development” contains three papers. All three papers focus on universities and their involvement in translating research for commercialization, which in turn supports economic development that often extends beyond the local region.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"603 - 605"},"PeriodicalIF":2.3,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44118530","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 : 2022-08-07DOI: 10.1177/01600176221116566
S. Rey, Elijah Knaap
This paper investigates the long-term impacts of the federal Home Owners’ Loan Corporation (HOLC) mortgage risk assessment maps on the spatial dynamics of recent income and racial distributions in California metropolitan areas over the 1990-2010 period. We combine historical HOLC boundaries with modern Census tract data and apply recently developed methods of spatial distribution dynamics to examine if legacy impacts are reflected in recent urban dynamics. Cities with HOLC assessments are found to have higher levels of isolation segregation than the non-HOLC group, but no difference in unevenness segregation between the two groups of cities are found. We find no difference in income or racial and ethnic distributional dynamics between the two groups of cities over the period. At the intra-urban scale, we find that the intersectionality of residing in a C or D graded tract that is also a low-income tract falls predominately upon the minority populations in these eight HOLC cities. Our findings indicate that neighborhoods with poor housing markets and high minority concentrations rarely experience a dramatic change in either their racial and ethnic or socioeconomic compositions—and that negative externalities (e.g. lower home prices and greater segregation levels) emanate from these neighborhoods, with inertia spilling over into nearby zones.
{"title":"The Legacy of Redlining: A Spatial Dynamics Perspective","authors":"S. Rey, Elijah Knaap","doi":"10.1177/01600176221116566","DOIUrl":"https://doi.org/10.1177/01600176221116566","url":null,"abstract":"This paper investigates the long-term impacts of the federal Home Owners’ Loan Corporation (HOLC) mortgage risk assessment maps on the spatial dynamics of recent income and racial distributions in California metropolitan areas over the 1990-2010 period. We combine historical HOLC boundaries with modern Census tract data and apply recently developed methods of spatial distribution dynamics to examine if legacy impacts are reflected in recent urban dynamics. Cities with HOLC assessments are found to have higher levels of isolation segregation than the non-HOLC group, but no difference in unevenness segregation between the two groups of cities are found. We find no difference in income or racial and ethnic distributional dynamics between the two groups of cities over the period. At the intra-urban scale, we find that the intersectionality of residing in a C or D graded tract that is also a low-income tract falls predominately upon the minority populations in these eight HOLC cities. Our findings indicate that neighborhoods with poor housing markets and high minority concentrations rarely experience a dramatic change in either their racial and ethnic or socioeconomic compositions—and that negative externalities (e.g. lower home prices and greater segregation levels) emanate from these neighborhoods, with inertia spilling over into nearby zones.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49027846","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}
This paper evaluates the potential responses of international labor mobility to the recent COVID-19 health shocks, using a New Economic Geography model inspired by recent events in Central and North America. The model suggests that the restraining impact of COVID-19 on migratory flows may retain potential emigrants in Mexico and Central America, enlarge the home market in the region, attract foreign and local businesses, and increase real wages. Moreover, this prediction unveils opportunities for the future from the opening of new, regular migratory pathways between Central America and Mexico. These would concentrate population and industry in Mexico, raise the market potential in the area and boost real wages in Mexico – and possibly in Central America as well – despite the partial deindustrialization of the Central American hinterland.
{"title":"Rekindling New Economic Geography in Times of COVID-19: Labor Mobility Responses to Health Shocks in Central and North America","authors":"Adolfo Cristóbal Campoamor, Ernesto Rodríguez-Crespo","doi":"10.1177/01600176221116565","DOIUrl":"https://doi.org/10.1177/01600176221116565","url":null,"abstract":"This paper evaluates the potential responses of international labor mobility to the recent COVID-19 health shocks, using a New Economic Geography model inspired by recent events in Central and North America. The model suggests that the restraining impact of COVID-19 on migratory flows may retain potential emigrants in Mexico and Central America, enlarge the home market in the region, attract foreign and local businesses, and increase real wages. Moreover, this prediction unveils opportunities for the future from the opening of new, regular migratory pathways between Central America and Mexico. These would concentrate population and industry in Mexico, raise the market potential in the area and boost real wages in Mexico – and possibly in Central America as well – despite the partial deindustrialization of the Central American hinterland.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2022-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48608262","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 : 2022-07-19DOI: 10.1177/01600176221116568
Tian Lan, P. Longley
This paper develops an improved method for estimating the ethnicity of individuals based on individual level pairings of given and family names. It builds upon previous research by using a global database of names from c. 1.7 billion living individuals, supplemented by individual level historical census data. In focusing upon Great Britain, these resources enable, respectively, greater precision in estimating probable global origins and better estimation of self-identification amongst long-established family groups such as the Irish Diaspora. We report on geographic issues in adjusting the weighting of groups that are systematically under- or over-predicted using other methods. Our individual level estimates are evaluated using both small area Great Britain census data for 2011 and individual level data for asylum seekers in Canada between 1995 and 2012. Our conclusions assess the value of such estimates in the conduct of social equity audits and in depicting the social mobility outcomes of residential mobility and migration across Great Britain.
{"title":"An Individual Level Method for Improved Estimation of Ethnic Characteristics","authors":"Tian Lan, P. Longley","doi":"10.1177/01600176221116568","DOIUrl":"https://doi.org/10.1177/01600176221116568","url":null,"abstract":"This paper develops an improved method for estimating the ethnicity of individuals based on individual level pairings of given and family names. It builds upon previous research by using a global database of names from c. 1.7 billion living individuals, supplemented by individual level historical census data. In focusing upon Great Britain, these resources enable, respectively, greater precision in estimating probable global origins and better estimation of self-identification amongst long-established family groups such as the Irish Diaspora. We report on geographic issues in adjusting the weighting of groups that are systematically under- or over-predicted using other methods. Our individual level estimates are evaluated using both small area Great Britain census data for 2011 and individual level data for asylum seekers in Canada between 1995 and 2012. Our conclusions assess the value of such estimates in the conduct of social equity audits and in depicting the social mobility outcomes of residential mobility and migration across Great Britain.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"328 - 353"},"PeriodicalIF":2.3,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47572858","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 : 2022-06-10DOI: 10.1177/01600176221106132
Isabel Díez‐Vial, J. Belso-Martínez, Martín-de-Castro Gregorio
This paper analyses how green product and process innovations affect firms’ sustainable performance. It seems evident that green innovations should benefit not only society but also the firms, although it is not clearly stated how this relationship works, especially inside clusters. We theorise that green process and product innovations have a curvilinear relationship with firm sustainable performance and that the geographical concentration of clusters has a positive reinforcing role for green product innovations. To test these theoretical expectations, moderated regression and quantile regression were applied to a sample of 175 firms from the Spanish footwear industry. Results confirm that although green innovations do improve performance, they have an inverted “U” shape that makes investments in green innovation less profitable above a certain threshold. In addition, we observe that geographical concentration is stronger for green product innovations since green process innovations need more tacit-based knowledge and internal capabilities, making the cluster effect less significant.
{"title":"Extending Green Innovations Across Clusters: HOW can Firms Benefit Most?","authors":"Isabel Díez‐Vial, J. Belso-Martínez, Martín-de-Castro Gregorio","doi":"10.1177/01600176221106132","DOIUrl":"https://doi.org/10.1177/01600176221106132","url":null,"abstract":"This paper analyses how green product and process innovations affect firms’ sustainable performance. It seems evident that green innovations should benefit not only society but also the firms, although it is not clearly stated how this relationship works, especially inside clusters. We theorise that green process and product innovations have a curvilinear relationship with firm sustainable performance and that the geographical concentration of clusters has a positive reinforcing role for green product innovations. To test these theoretical expectations, moderated regression and quantile regression were applied to a sample of 175 firms from the Spanish footwear industry. Results confirm that although green innovations do improve performance, they have an inverted “U” shape that makes investments in green innovation less profitable above a certain threshold. In addition, we observe that geographical concentration is stronger for green product innovations since green process innovations need more tacit-based knowledge and internal capabilities, making the cluster effect less significant.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"149 - 178"},"PeriodicalIF":2.3,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45388127","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 : 2022-05-18DOI: 10.1177/01600176221099178
Adalgiso Amendola, C. Barra, R. Zotti
An important issue in economic geography is the link between higher education institutions and economic performance at local level. This paper exploits some aspects of the university funding system in Italy to estimate the effects of hosting higher education institutions on local productivity and furthermore tests whether local institutions have a moderating role in this relationship. The findings firstly confirm that university performance positively affects local economies. Secondly, we argue that an important channel linking universities to greater economic activity is the administrative capacity of local governments to create strong social and economic structures.
{"title":"Universities, Local Economic Productivity and Quality of Institutions: Evidence From Italy","authors":"Adalgiso Amendola, C. Barra, R. Zotti","doi":"10.1177/01600176221099178","DOIUrl":"https://doi.org/10.1177/01600176221099178","url":null,"abstract":"An important issue in economic geography is the link between higher education institutions and economic performance at local level. This paper exploits some aspects of the university funding system in Italy to estimate the effects of hosting higher education institutions on local productivity and furthermore tests whether local institutions have a moderating role in this relationship. The findings firstly confirm that university performance positively affects local economies. Secondly, we argue that an important channel linking universities to greater economic activity is the administrative capacity of local governments to create strong social and economic structures.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"46 1","pages":"179 - 209"},"PeriodicalIF":2.3,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48623504","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：