Pub Date : 2022-01-21DOI: 10.1177/01600176211066472
Yinghao Pan, Hao‐Yen Yang
Due to the nexus of wealth effect and cost effect, the impact of housing price on fertility is ambiguous in theory. However, the relation between housing price and fertility is essential for policymakers, especially in developing countries. This paper constructs an individual-level panel data set of over 40,000 randomly selected Chinese females with detailed fertility history during 2006–2010 from the Census 2010. Exploiting variation of housing price growth across cities over time and conditional on marriage status, we show that a 1,000 yuan upward shift in housing price induces the possibility of new birth by 13.9% for homeowners. Homeownership plays a vital role in housing price on fertility. These findings suggest that the wealth effect of housing price dominates the cost effect during the sample periods in China.
{"title":"Impacts of Housing Booms on Fertility in China: A Perspective From Homeownership","authors":"Yinghao Pan, Hao‐Yen Yang","doi":"10.1177/01600176211066472","DOIUrl":"https://doi.org/10.1177/01600176211066472","url":null,"abstract":"Due to the nexus of wealth effect and cost effect, the impact of housing price on fertility is ambiguous in theory. However, the relation between housing price and fertility is essential for policymakers, especially in developing countries. This paper constructs an individual-level panel data set of over 40,000 randomly selected Chinese females with detailed fertility history during 2006–2010 from the Census 2010. Exploiting variation of housing price growth across cities over time and conditional on marriage status, we show that a 1,000 yuan upward shift in housing price induces the possibility of new birth by 13.9% for homeowners. Homeownership plays a vital role in housing price on fertility. These findings suggest that the wealth effect of housing price dominates the cost effect during the sample periods in China.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"534 - 554"},"PeriodicalIF":2.3,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41785957","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 : 2022-01-19DOI: 10.1177/01600176211066470
Carla Mascarenhas, C. Marques, J. Ferreira, A. Galvão
This study sought to understand how the differences in university-industry (U-I) dynamics in two cross-border regions act on their research and innovation performance. Surveys were administered to academics from research centres or units in Portugal’s Northern Region and Spain’s Castile and Leon. Data were also collected from the Community Innovation Survey (CIS2014) conducted in Portugal and Spain, to obtain a broader perspective on the topic and regions under analysis. A comparison could thus be made between the researchers’ perspective (i.e. micro) and the companies’ perspective that answered the CIS questionnaire (i.e. meso) on U-I collaboration dynamics. The questionnaires were analysed using Partial least squares structural equation modelling, and the data from CIS survey using logistic regression. The results show that U-I cooperation is associated with (i) time spent on research and development, (ii) budgets based on direct contracts with industries, (iii) companies’ location and (iv) incentives for collaboration. However, the researchers’ age and academic field are the only factors affecting which incentives for collaboration are significant. The results also reveal that U-I collaboration influences regions’ innovation profiles. These findings contribute to a fuller, more empirical understanding of U-I cooperation, demonstrating that encouragement of this type of collaboration can be a driver of innovation in any region. This article contributes in policy terms to a better understanding of the necessary incentives for both U-I collaboration and the internationalisation of this collaboration.
{"title":"University-Industry Collaboration in a Cross-Border Iberian Regions","authors":"Carla Mascarenhas, C. Marques, J. Ferreira, A. Galvão","doi":"10.1177/01600176211066470","DOIUrl":"https://doi.org/10.1177/01600176211066470","url":null,"abstract":"This study sought to understand how the differences in university-industry (U-I) dynamics in two cross-border regions act on their research and innovation performance. Surveys were administered to academics from research centres or units in Portugal’s Northern Region and Spain’s Castile and Leon. Data were also collected from the Community Innovation Survey (CIS2014) conducted in Portugal and Spain, to obtain a broader perspective on the topic and regions under analysis. A comparison could thus be made between the researchers’ perspective (i.e. micro) and the companies’ perspective that answered the CIS questionnaire (i.e. meso) on U-I collaboration dynamics. The questionnaires were analysed using Partial least squares structural equation modelling, and the data from CIS survey using logistic regression. The results show that U-I cooperation is associated with (i) time spent on research and development, (ii) budgets based on direct contracts with industries, (iii) companies’ location and (iv) incentives for collaboration. However, the researchers’ age and academic field are the only factors affecting which incentives for collaboration are significant. The results also reveal that U-I collaboration influences regions’ innovation profiles. These findings contribute to a fuller, more empirical understanding of U-I cooperation, demonstrating that encouragement of this type of collaboration can be a driver of innovation in any region. This article contributes in policy terms to a better understanding of the necessary incentives for both U-I collaboration and the internationalisation of this collaboration.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"444 - 471"},"PeriodicalIF":2.3,"publicationDate":"2022-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42809324","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 : 2022-01-12DOI: 10.1177/01600176211061831
Dan He, Zhiqiong Zhang, Minglong Han, Yizhi Kang, Peng Gao
While the challenges posed by multi-dimensional boundary effects to global economic integration are studied widely, regional economic integration within a sovereign country requires additional analysis. The Yangtze River Economic Belt (YREB), a super-scale interprovincial area including three nested urban alliances, is a meaningful vision of regional economic integration in China. After building the producer services-based urban corporate network, this study investigates the influence of multi-dimensional boundary effects on regional economic integration by social network analysis and the exponential random graph model. The findings show that the fragmented reality of YREB’s economy is significantly different from the vision of the Chinese central government. More specifically, although the natural boundary restraints represented by distance have disappeared, multi-dimensional barriers to regional economic integration are still posed by administrative, policy, economic, and cultural boundaries. The estimation results pass the robustness test of the grouping sample of producer services. Therefore, we confirm that the multi-dimensional boundary effects, particularly the intangible ones, significantly impact regional economic integration even within a country with a top-down ‘strong’ governance.
{"title":"Multi-dimensional boundary effects and regional economic integration: Evidence from the Yangtze River Economic Belt","authors":"Dan He, Zhiqiong Zhang, Minglong Han, Yizhi Kang, Peng Gao","doi":"10.1177/01600176211061831","DOIUrl":"https://doi.org/10.1177/01600176211061831","url":null,"abstract":"While the challenges posed by multi-dimensional boundary effects to global economic integration are studied widely, regional economic integration within a sovereign country requires additional analysis. The Yangtze River Economic Belt (YREB), a super-scale interprovincial area including three nested urban alliances, is a meaningful vision of regional economic integration in China. After building the producer services-based urban corporate network, this study investigates the influence of multi-dimensional boundary effects on regional economic integration by social network analysis and the exponential random graph model. The findings show that the fragmented reality of YREB’s economy is significantly different from the vision of the Chinese central government. More specifically, although the natural boundary restraints represented by distance have disappeared, multi-dimensional barriers to regional economic integration are still posed by administrative, policy, economic, and cultural boundaries. The estimation results pass the robustness test of the grouping sample of producer services. Therefore, we confirm that the multi-dimensional boundary effects, particularly the intangible ones, significantly impact regional economic integration even within a country with a top-down ‘strong’ governance.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"472 - 498"},"PeriodicalIF":2.3,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49131749","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 : 2022-01-08DOI: 10.1177/01600176211061835
A. Batabyal, H. Beladi
There are no theoretical studies in regional science that examine which region to locate in from the standpoint of a creative class member, given that the pertinent regional authorities (RAs) are competing among themselves to attract the creative class using subsidies. This gap provides the motivation for our paper. This paper’s contribution is that it is the first to theoretically study the regional location choice of creative class members when the RAs of the locations in which they might locate are using subsidies to attract them. Specifically, a knowledge good producing creative class member must decide which of two regions (A or B) to locate his plant in. This good is produced using a Cobb–Douglas function with creative and physical capital. We analyze plant location in four cases. In the benchmark case, we show that the representative creative class member ought to locate his plant in the less expensive region B. Next, we show that a small subsidy to creative capital by region A switches the plant location decision from region B to A. Finally, when both regions grant identical subsidies to creative capital, the representative creative class member is indifferent between locating in regions A and B. So, for identical subsidies to affect the plant location decision, they are better targeted to physical and not to creative capital. JEL Codes: R11, R58
{"title":"The Response of Creative Class Members to Regions Vying to Attract Them With Subsidies","authors":"A. Batabyal, H. Beladi","doi":"10.1177/01600176211061835","DOIUrl":"https://doi.org/10.1177/01600176211061835","url":null,"abstract":"There are no theoretical studies in regional science that examine which region to locate in from the standpoint of a creative class member, given that the pertinent regional authorities (RAs) are competing among themselves to attract the creative class using subsidies. This gap provides the motivation for our paper. This paper’s contribution is that it is the first to theoretically study the regional location choice of creative class members when the RAs of the locations in which they might locate are using subsidies to attract them. Specifically, a knowledge good producing creative class member must decide which of two regions (A or B) to locate his plant in. This good is produced using a Cobb–Douglas function with creative and physical capital. We analyze plant location in four cases. In the benchmark case, we show that the representative creative class member ought to locate his plant in the less expensive region B. Next, we show that a small subsidy to creative capital by region A switches the plant location decision from region B to A. Finally, when both regions grant identical subsidies to creative capital, the representative creative class member is indifferent between locating in regions A and B. So, for identical subsidies to affect the plant location decision, they are better targeted to physical and not to creative capital. JEL Codes: R11, R58","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"581 - 600"},"PeriodicalIF":2.3,"publicationDate":"2022-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45834776","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 : 2021-09-27DOI: 10.1177/01600176211034131
Sébastien Bourdin, Jiwan Tai1
This article analyzes electoral behaviors related to voting abstention in the Metropolis of Paris. We highlight the interest of a contextual approach to examine non-voting behaviors. Using socio-economic and demographic data at the level of municipalities, we construct a spatial model to explain the reasons for abstention. Our results support the idea that abstentionism expresses a disengagement behavior as well as a protestation behavior. People disengage from politics because they believe that politicians (no matter which party is in power) will not be able to change their situation. This hypothesis applies to non-voters peripheral to political life. We also show that these people tend to live in socio-economically marginalized areas. The protest attitude is found especially in “left-behind” areas that have experienced a significant decline in the supply of public services and local shops. Bridging the divide in these neglected areas is essential to avoid further marginalization and growing protest.
{"title":"Abstentionist Voting – Between Disengagement and Protestation in Neglected Areas: A Spatial Analysis of The Paris Metropolis","authors":"Sébastien Bourdin, Jiwan Tai1","doi":"10.1177/01600176211034131","DOIUrl":"https://doi.org/10.1177/01600176211034131","url":null,"abstract":"This article analyzes electoral behaviors related to voting abstention in the Metropolis of Paris. We highlight the interest of a contextual approach to examine non-voting behaviors. Using socio-economic and demographic data at the level of municipalities, we construct a spatial model to explain the reasons for abstention. Our results support the idea that abstentionism expresses a disengagement behavior as well as a protestation behavior. People disengage from politics because they believe that politicians (no matter which party is in power) will not be able to change their situation. This hypothesis applies to non-voters peripheral to political life. We also show that these people tend to live in socio-economically marginalized areas. The protest attitude is found especially in “left-behind” areas that have experienced a significant decline in the supply of public services and local shops. Bridging the divide in these neglected areas is essential to avoid further marginalization and growing protest.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"263 - 292"},"PeriodicalIF":2.3,"publicationDate":"2021-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49024257","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 : 2021-08-11DOI: 10.1177/01600176211034134
Taewon Kang, Sira Maliphol, D. Kogler, Keungoui Kim
Knowledge has replaced labor as the key factor for productivity growth in innovation discourse. The Knowledge Spillover Theory of Entrepreneurship (KSTE) provides the theoretical foundation to bridge the gap between knowledge and productivity growth. The way regional knowledge actually contributes to productivity growth requires a theoretical explanation because knowledge capability is an indirect and intangible input for regional productivity growth. Previous research has shown that entrepreneurship alone is insufficient to drive productivity improvements. We examine how knowledge capabilities lead to meaningful growth outcomes of new firms in a region. This study examines the determinants of productivity growth by analyzing the factors of entrepreneurship and knowledge capabilities at the regional level, especially considering the moderating effect of entrepreneurship between knowledge and regional growth; by comparing different dimensions of local knowledge capabilities; and by aggregating the contribution of knowledge capabilities and entrepreneurship to productivity growth at the regional level. The empirical analysis is performed on Italian NUTS-3 regions by utilizing an integrated data set combining patent data from the EPO PATSTAT database, and regional data from Eurostat regional statistics. This study makes two main contributions to the KSTE literature by linking knowledge, entrepreneurship, and regional growth and by providing empirical results on different aspects of regional knowledge capability. Our findings identify which types of local knowledge capabilities are more important and how related innovative activity interacts with entrepreneurial activity, elucidating the mechanisms by which knowledge affects labor productivity through entrepreneurship.
{"title":"Regional Knowledge Capabilities, Entrepreneurial Activity, and Productivity Growth: Evidence from Italian NUTS-3 Regions","authors":"Taewon Kang, Sira Maliphol, D. Kogler, Keungoui Kim","doi":"10.1177/01600176211034134","DOIUrl":"https://doi.org/10.1177/01600176211034134","url":null,"abstract":"Knowledge has replaced labor as the key factor for productivity growth in innovation discourse. The Knowledge Spillover Theory of Entrepreneurship (KSTE) provides the theoretical foundation to bridge the gap between knowledge and productivity growth. The way regional knowledge actually contributes to productivity growth requires a theoretical explanation because knowledge capability is an indirect and intangible input for regional productivity growth. Previous research has shown that entrepreneurship alone is insufficient to drive productivity improvements. We examine how knowledge capabilities lead to meaningful growth outcomes of new firms in a region. This study examines the determinants of productivity growth by analyzing the factors of entrepreneurship and knowledge capabilities at the regional level, especially considering the moderating effect of entrepreneurship between knowledge and regional growth; by comparing different dimensions of local knowledge capabilities; and by aggregating the contribution of knowledge capabilities and entrepreneurship to productivity growth at the regional level. The empirical analysis is performed on Italian NUTS-3 regions by utilizing an integrated data set combining patent data from the EPO PATSTAT database, and regional data from Eurostat regional statistics. This study makes two main contributions to the KSTE literature by linking knowledge, entrepreneurship, and regional growth and by providing empirical results on different aspects of regional knowledge capability. Our findings identify which types of local knowledge capabilities are more important and how related innovative activity interacts with entrepreneurial activity, elucidating the mechanisms by which knowledge affects labor productivity through entrepreneurship.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"293 - 320"},"PeriodicalIF":2.3,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45821238","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 : 2021-08-10DOI: 10.1177/01600176211034133
Sven-Olov Daunfeldt, Oana Mihaescu, N. Rudholm
We use the entry of 17 external shopping malls in Sweden to investigate how they have affected the performance of incumbent firms located in the city centres of small cities. Estimating a traditional fixed effects regression model while controlling for firm-specific heterogeneity, we find that entry by external shopping malls decreased the labour productivity of incumbent firms in city centres by 5.31%. Revenues decrease by 6.62%, while the reduction in the number of employees (0.45%) is small and not significantly different from zero. However, using time-specific fixed effects to control for common time trends in retailing in small cities, we find that the impact on labour productivity, revenues and the number of employees due to the entry of external shopping malls becomes insignificant. Thus, incumbent firms in small cities have a negative development path mainly due to long-term economic trends, possibly because of the combination of urbanization effects and a lack of local investments.
{"title":"The Decline of Small Cities: Increased Competition from External Shopping Malls or Long-Term Negative Trends?","authors":"Sven-Olov Daunfeldt, Oana Mihaescu, N. Rudholm","doi":"10.1177/01600176211034133","DOIUrl":"https://doi.org/10.1177/01600176211034133","url":null,"abstract":"We use the entry of 17 external shopping malls in Sweden to investigate how they have affected the performance of incumbent firms located in the city centres of small cities. Estimating a traditional fixed effects regression model while controlling for firm-specific heterogeneity, we find that entry by external shopping malls decreased the labour productivity of incumbent firms in city centres by 5.31%. Revenues decrease by 6.62%, while the reduction in the number of employees (0.45%) is small and not significantly different from zero. However, using time-specific fixed effects to control for common time trends in retailing in small cities, we find that the impact on labour productivity, revenues and the number of employees due to the entry of external shopping malls becomes insignificant. Thus, incumbent firms in small cities have a negative development path mainly due to long-term economic trends, possibly because of the combination of urbanization effects and a lack of local investments.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"225 - 257"},"PeriodicalIF":2.3,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47592576","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 : 2021-08-06DOI: 10.1177/01600176211034140
M. Beenstock
Macroeconomics and regional science have developed as separate disciplines. However, the fact that the gross domestic product is the sum of gross regional products suggests that the two disciplines are related. The present study considers the implications of regional science and economic geography for macroeconomics. Specifically, a spatial econometric model for Israel is simulated to explore the implications of regional productivity and amenity shocks for gross regional products and the gross domestic product. We show that the effects of productivity shocks on the gross domestic product depend on where they occur and may even be negative. These results question estimates of the effect of productivity shocks in macroeconomic models in terms of spatial aggregation bias. They also provide empirical evidence rejecting the spatial granularity hypothesis regarding the secular relation between macroeconomic economic activity and regional economic activity. The study concludes with speculations about the implications of macroeconomics for regional science.
{"title":"Macroeconomics Meets regional science: How national economic activity is Related to regional economic activity","authors":"M. Beenstock","doi":"10.1177/01600176211034140","DOIUrl":"https://doi.org/10.1177/01600176211034140","url":null,"abstract":"Macroeconomics and regional science have developed as separate disciplines. However, the fact that the gross domestic product is the sum of gross regional products suggests that the two disciplines are related. The present study considers the implications of regional science and economic geography for macroeconomics. Specifically, a spatial econometric model for Israel is simulated to explore the implications of regional productivity and amenity shocks for gross regional products and the gross domestic product. We show that the effects of productivity shocks on the gross domestic product depend on where they occur and may even be negative. These results question estimates of the effect of productivity shocks in macroeconomic models in terms of spatial aggregation bias. They also provide empirical evidence rejecting the spatial granularity hypothesis regarding the secular relation between macroeconomic economic activity and regional economic activity. The study concludes with speculations about the implications of macroeconomics for regional science.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"321 - 351"},"PeriodicalIF":2.3,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45915346","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 : 2021-08-03DOI: 10.1177/01600176211018728
Hyunha Shin, Junseok Hwang
Korea has pursued a cluster-based policy to increase industrial competitiveness and to alleviate development gaps between the regions. However, local governments have often oversupplied clusters without an objective examination of the demands and conditions in the regions. Based on these concerns, this study analyses effects and interdependencies of factors related to regional innovation and growth in Korea. Employing a PCA method and a GLS regression models on panel data, we generated three composite factors, social, capacity, and clustering, and estimated their effects on regional economic performance. The results show that it is important to have a favorable socio-economic setting to foster growth by clusters. In addition, cluster-based policies may have weaker effects than expected, because the effect of R&D capacity on regional growth was stronger and longer lasting. Finally, some specific elements that most affected economic growth in Korea’s regions are identified. The overall results indicate favorable environments should be established beforehand to foster regional growth with clusters, which confirms “jobs follow people.”
{"title":"Illusions of Clustering: A Systematic Evaluation on the Effects of Clusters on Regional Economic Performance in Korea","authors":"Hyunha Shin, Junseok Hwang","doi":"10.1177/01600176211018728","DOIUrl":"https://doi.org/10.1177/01600176211018728","url":null,"abstract":"Korea has pursued a cluster-based policy to increase industrial competitiveness and to alleviate development gaps between the regions. However, local governments have often oversupplied clusters without an objective examination of the demands and conditions in the regions. Based on these concerns, this study analyses effects and interdependencies of factors related to regional innovation and growth in Korea. Employing a PCA method and a GLS regression models on panel data, we generated three composite factors, social, capacity, and clustering, and estimated their effects on regional economic performance. The results show that it is important to have a favorable socio-economic setting to foster growth by clusters. In addition, cluster-based policies may have weaker effects than expected, because the effect of R&D capacity on regional growth was stronger and longer lasting. Finally, some specific elements that most affected economic growth in Korea’s regions are identified. The overall results indicate favorable environments should be established beforehand to foster regional growth with clusters, which confirms “jobs follow people.”","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"135 - 160"},"PeriodicalIF":2.3,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44474317","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 : 2021-07-08DOI: 10.1177/01600176211028761
C. Carpenter, Anders Van Sandt, R. Dudensing, S. Loveridge
Business location research often focuses on evaluating specific policies or explaining outcomes for a particular region. Further, the micro-foundations of random profit maximization supporting manufacturing location analysis often lack the intuitive nature of demand thresholds. While this article maintains these micro-foundations, it introduces a unifying concept of profit pools and examines how proximate supply/cost factors determine potential local manufacturing size. The approach avoids a number of limitations associated with other locational choice models. Restricted-access establishment-level data from the Longitudinal Business Database along with secondary data sources produce a model to estimate county-level contributors to outcomes of manufacturing establishment growth and consolidation. The analysis offers improved methods and accuracy for modeling establishment location outcomes, including accuracy in measuring industry size and methods for choosing among various count data distributions. The locational factors associated with county-level potential for manufacturing vary in magnitude and significance depending on the type of manufacturing, while affirming the importance of agglomeration across manufacturing types.
{"title":"Profit Pools and Determinants of Potential County-Level Manufacturing Growth","authors":"C. Carpenter, Anders Van Sandt, R. Dudensing, S. Loveridge","doi":"10.1177/01600176211028761","DOIUrl":"https://doi.org/10.1177/01600176211028761","url":null,"abstract":"Business location research often focuses on evaluating specific policies or explaining outcomes for a particular region. Further, the micro-foundations of random profit maximization supporting manufacturing location analysis often lack the intuitive nature of demand thresholds. While this article maintains these micro-foundations, it introduces a unifying concept of profit pools and examines how proximate supply/cost factors determine potential local manufacturing size. The approach avoids a number of limitations associated with other locational choice models. Restricted-access establishment-level data from the Longitudinal Business Database along with secondary data sources produce a model to estimate county-level contributors to outcomes of manufacturing establishment growth and consolidation. The analysis offers improved methods and accuracy for modeling establishment location outcomes, including accuracy in measuring industry size and methods for choosing among various count data distributions. The locational factors associated with county-level potential for manufacturing vary in magnitude and significance depending on the type of manufacturing, while affirming the importance of agglomeration across manufacturing types.","PeriodicalId":51507,"journal":{"name":"International Regional Science Review","volume":"45 1","pages":"188 - 224"},"PeriodicalIF":2.3,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/01600176211028761","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42693113","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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