Abstract This study investigates determinants of science and technology parks (STPs) performance in China. We estimate dynamic panel data models on a sample comprising 53 STPs for 2008 – 2018. FDI and human capital impact labor productivity and innovation of STPs and explain differences in performance among them. We find evidence for beta‐ and sigma‐convergence of labor productivity and beta‐, but not sigma‐convergence of innovation. Our study provides novel insights for research on STPs and innovation policy regarding heterogeneity in performance of STPs, and specifically, some evidence concerning formation of ‘clubs’ of STPs based on the city‐tier system in China.
{"title":"Heterogeneity in performance of science and technology parks in China: Is there ‘club’ convergence?","authors":"Chen Rui, Boris Lokshin, Pierre Mohnen","doi":"10.1111/pirs.12759","DOIUrl":"https://doi.org/10.1111/pirs.12759","url":null,"abstract":"Abstract This study investigates determinants of science and technology parks (STPs) performance in China. We estimate dynamic panel data models on a sample comprising 53 STPs for 2008 – 2018. FDI and human capital impact labor productivity and innovation of STPs and explain differences in performance among them. We find evidence for beta‐ and sigma‐convergence of labor productivity and beta‐, but not sigma‐convergence of innovation. Our study provides novel insights for research on STPs and innovation policy regarding heterogeneity in performance of STPs, and specifically, some evidence concerning formation of ‘clubs’ of STPs based on the city‐tier system in China.","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135779940","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}
Abstract This paper explores the influence of spatial mobility on the risk of overeducation of French young workers. Mobilizing a survey following a cohort of young graduates entering the labour market from 2010 until 2013, our results reveal that interregional migration decreases the risk of (statistical and subjective) overeducation. We also evidence that migration to an economic centre (the Paris region) has an even stronger negative effect and that more educated workers benefit more from spatial mobility. These results are robust to controlling for self‐selection and the endogeneity of migration, as well as to various specifications of the model.
{"title":"Spatial mobility and overeducation of young workers: New evidence from France","authors":"Florian Fouquet, Florent Sari","doi":"10.1111/pirs.12755","DOIUrl":"https://doi.org/10.1111/pirs.12755","url":null,"abstract":"Abstract This paper explores the influence of spatial mobility on the risk of overeducation of French young workers. Mobilizing a survey following a cohort of young graduates entering the labour market from 2010 until 2013, our results reveal that interregional migration decreases the risk of (statistical and subjective) overeducation. We also evidence that migration to an economic centre (the Paris region) has an even stronger negative effect and that more educated workers benefit more from spatial mobility. These results are robust to controlling for self‐selection and the endogeneity of migration, as well as to various specifications of the model.","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135823296","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}
Abstract The smart specialization concept requires regions to design their strategies based on regional capabilities and strengths. The present study provides a framework to empirically integrate regional capabilities in the form of workplace knowledge and skills with the smart specialisation concept. The smart specialisation concept requires a thorough assessment of regional capabilities and strengths to be able to define region‐specific policies to reach innovation‐led growth. %However, the empirical smart specialisation literature does not explicitly account for regional capabilities even though the policy design and evaluation should ideally be drawn on them. The present study proposes a framework that is based on regional workplace knowledge and skills which are good proxies of regional capabilities. In this regard, it evaluates the smart specialisation priorities of regions with respect to their industry spaces built upon regional skill bases characterised by skill relatedness and skill complexity measures. By doing so, it analyses to what extent smart specialisation strategies are built on regional capabilities and strengths. It shows that regional heterogeneity plays an important role in the smart specialisation policy design. High income regions tend to prioritise industries in which they have enough capabilities while low income regions opt for new production paths.
{"title":"Skills for Smart Specialisation: Relatedness, Complexity and Evaluation of Priorities","authors":"Duygu Buyukyazici","doi":"10.1111/pirs.12756","DOIUrl":"https://doi.org/10.1111/pirs.12756","url":null,"abstract":"Abstract The smart specialization concept requires regions to design their strategies based on regional capabilities and strengths. The present study provides a framework to empirically integrate regional capabilities in the form of workplace knowledge and skills with the smart specialisation concept. The smart specialisation concept requires a thorough assessment of regional capabilities and strengths to be able to define region‐specific policies to reach innovation‐led growth. %However, the empirical smart specialisation literature does not explicitly account for regional capabilities even though the policy design and evaluation should ideally be drawn on them. The present study proposes a framework that is based on regional workplace knowledge and skills which are good proxies of regional capabilities. In this regard, it evaluates the smart specialisation priorities of regions with respect to their industry spaces built upon regional skill bases characterised by skill relatedness and skill complexity measures. By doing so, it analyses to what extent smart specialisation strategies are built on regional capabilities and strengths. It shows that regional heterogeneity plays an important role in the smart specialisation policy design. High income regions tend to prioritise industries in which they have enough capabilities while low income regions opt for new production paths.","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136079037","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}
Abstract The empirical literature examining the determinants of city size almost exclusively uses the closed city version of the Mills‐Muth model, in which population is exogenous. The closed city approach is particularly useful in that it yields a single equation empirical framework easily estimated with OLS. The general theory, however, offers the open city as an alternative, where population and possibly income are endogenous. The open city, in contrast to the closed version, yields a system of equations that should be estimated with seemingly unrelated regression (SUR). This paper finds that population and income are endogenous for broad samples of small and large American urbanized areas and explores the extent to which the empirically preferred open city SUR approach yields empirical results that resemble the closed city OLS model.
{"title":"CLOSED VS. OPEN CITY MODELS: A NEW EMPIRICAL APPROACH TO AN OLD QUESTION","authors":"Jeffrey A. DiBartolomeo, Geoffrey K. Turnbull","doi":"10.1111/pirs.12757","DOIUrl":"https://doi.org/10.1111/pirs.12757","url":null,"abstract":"Abstract The empirical literature examining the determinants of city size almost exclusively uses the closed city version of the Mills‐Muth model, in which population is exogenous. The closed city approach is particularly useful in that it yields a single equation empirical framework easily estimated with OLS. The general theory, however, offers the open city as an alternative, where population and possibly income are endogenous. The open city, in contrast to the closed version, yields a system of equations that should be estimated with seemingly unrelated regression (SUR). This paper finds that population and income are endogenous for broad samples of small and large American urbanized areas and explores the extent to which the empirically preferred open city SUR approach yields empirical results that resemble the closed city OLS model.","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136209448","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}
Jorge A. Velez‐Ospina, Josh Siepel, Inge Hill, F. Rowe
This study aims to compare the drivers of clustering of rural and urban creative industries in England, UK. We use pre‐pandemic web‐scraped data from 154,618 creative industry organisations in England, and use a novel technique to identify 71 distinct rural creative ‘microclusters’ of geographically proximate creative firms. We then consider the role of place‐based assets and agglomeration in the presence of microclusters at a micro‐level geography and find that the determinants of microclustering are generally consistent between rural and urban areas. On that basis we argue that policies to support creative clusters may drive rural regional development.
{"title":"Determinants of rural creative microclustering: Evidence from web‐scraped data for England","authors":"Jorge A. Velez‐Ospina, Josh Siepel, Inge Hill, F. Rowe","doi":"10.1111/pirs.12754","DOIUrl":"https://doi.org/10.1111/pirs.12754","url":null,"abstract":"This study aims to compare the drivers of clustering of rural and urban creative industries in England, UK. We use pre‐pandemic web‐scraped data from 154,618 creative industry organisations in England, and use a novel technique to identify 71 distinct rural creative ‘microclusters’ of geographically proximate creative firms. We then consider the role of place‐based assets and agglomeration in the presence of microclusters at a micro‐level geography and find that the determinants of microclustering are generally consistent between rural and urban areas. On that basis we argue that policies to support creative clusters may drive rural regional development.","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43253197","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}
{"title":"Book review: Land. How the Hunger for Ownership Shaped the Modern World (by Simon Winchester, HarperCollins, 2022, ISBN: 9780062938343)","authors":"Roberto Dellisanti","doi":"10.1111/pirs.12753","DOIUrl":"https://doi.org/10.1111/pirs.12753","url":null,"abstract":"","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49589248","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}
Kyriakos Drivas, C. Economidou, I. Kaplanis, Maria Theano Tagaraki
{"title":"Examination of Related Diversification in Laggard Regions","authors":"Kyriakos Drivas, C. Economidou, I. Kaplanis, Maria Theano Tagaraki","doi":"10.1111/pirs.12752","DOIUrl":"https://doi.org/10.1111/pirs.12752","url":null,"abstract":"","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49086077","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}
{"title":"Mental health assimilation of rural–urban migrants in developing countries: Evidence from Indonesia’s four cities","authors":"Rus’an Nasrudin, Budy P. Resosudarmo","doi":"10.1111/pirs.12751","DOIUrl":"https://doi.org/10.1111/pirs.12751","url":null,"abstract":"","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45148821","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}
{"title":"How the world really works: The science behind how we got here and where we are going. By VaclavSmil, Penguin. 2022.","authors":"Yuqing Nie","doi":"10.1111/pirs.12749","DOIUrl":"https://doi.org/10.1111/pirs.12749","url":null,"abstract":"","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41502392","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}
Eduardo Jimenez‐Moro, Panagiotis Piperopoulos, M. Kafouros, Alan Au Kai Ming
{"title":"Innovation dynamics and club convergence in innovation activity in China: A temporal perspective","authors":"Eduardo Jimenez‐Moro, Panagiotis Piperopoulos, M. Kafouros, Alan Au Kai Ming","doi":"10.1111/pirs.12750","DOIUrl":"https://doi.org/10.1111/pirs.12750","url":null,"abstract":"","PeriodicalId":51458,"journal":{"name":"Papers in Regional Science","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46429275","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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