Firstly,agriculture,industry and tourism in the Yangtze River Delta,Pearl River Delta and Bohai Economic Rim were chosen to represent the primary,secondary and tertiary industries respectively,and industrial agglomera...Firstly,agriculture,industry and tourism in the Yangtze River Delta,Pearl River Delta and Bohai Economic Rim were chosen to represent the primary,secondary and tertiary industries respectively,and industrial agglomeration in the three economic zones was analyzed using location quotient coefficient method.Afterwards,the critical factors influencing industrial agglomeration were discussed using gray correlation analysis.The results showed that industrial agglomeration of agriculture,industry and tourism formed gradually in the three economic zones,and the critical factors influencing industrial agglomeration were human capital,science and technology progress,and natural resources.Meanwhile,environmental pollution affected and restricted the development of industrial agglomeration.展开更多
Although China’s construction machinery thrives to meet the needs of construction,a number of challenges still remain to be overcome,such as lack of thorough knowledge of regional disparities and several limitations ...Although China’s construction machinery thrives to meet the needs of construction,a number of challenges still remain to be overcome,such as lack of thorough knowledge of regional disparities and several limitations in terms of carbon emissions and economic development.Meanwhile,a low-carbon economy was proposed and implemented in China.This research aims to investigate the differences in industrial agglomeration of construction machineries and further explore the relationship between industrial agglomeration and low-carbon economy.On this basis,spatiotemporal analysis was performed to evaluate the levels of industrial agglomeration in different regions based on the situations of China’s construction machinery industry.Furthermore,this study explored the interaction between industrial agglomeration and low-carbon economy utilizing the coupling coordination analysis method.Results showed that the coupling coordination of the two subsystems was extremely unbalanced in 2006,and it maintained an increasing trend,reaching a relatively high level in 2018.Finally,suggestions,such as establishing a policy guarantee system and implementing variable policies in different regions,were proposed to provide guidelines for the government decision-making and promote the sustainable development of China’s construction machinery industry.展开更多
This paper investigates the forces that determine the industrial distribution of foreign manufacturing investment. It highlights the importance of industrial agglomeration and industrial linkage in attracting foreign ...This paper investigates the forces that determine the industrial distribution of foreign manufacturing investment. It highlights the importance of industrial agglomeration and industrial linkage in attracting foreign investment to manufacturing industries. Using panel data for two-digit manufacturing industries in Beijing during the period of 1999-2004, this study finds that geographically agglomerated industries with strong intra-industrial linkages are indeed attractive to foreign investment. Previous foreign investment has led to the current industrial concentration or foreign investment. Investors also favor capital-intensive and technology-intensive industries, and they tend to be attracted to the most profitable and exporting industries, but avoid industries with high real labor costs and high entry barriers. Competitive local industries that possess comparative advantages are critical for attracting foreign investment. The existence of industrial clusters certainly enhances a city's attractiveness to foreign investment.展开更多
Understanding the driving forces of regional air pollution and its mechanism has gained much attention in academic research,which can provide scientific policy-making basis for economy-environment sustainability in Ch...Understanding the driving forces of regional air pollution and its mechanism has gained much attention in academic research,which can provide scientific policy-making basis for economy-environment sustainability in China.Being an important energy and industrial base,the North China Plain region has been experiencing severe air pollution.Therefore,understanding the relationship between industrialization and air quality in this region is of great importance for air quality improvement.In this study,the average annual concentrations of SO2,NO2 and PM10 in 47 sample cities at and above the prefecture level in the North China Plain region from 2007 to 2016 were used to illustrate the spatiotemporal characteristics of air pollution within this region.Furthermore,panel data model,panel vector autoregression model,and impulse response function were used to explore the correlation and driving mechanism between energy-intensive industries and regional air quality.The results show that:first,overall air quality improved in the study area between 2007 and 2016,with a significant greater fall in concentration of SO2 than that of NO2 and PM10;second,provincial border areas suffered from severe air pollution and showed an apparent spatial agglomeration trend of pollution;and third,the test results from different models all proved that energy-intensive industries such as the chemical,non-metallic mineral production,electric and thermal power production and supply industries,had a significant positive correlation with concentrations of air pollutants,and indicated an obvious short-term impulse response effect.It concludes that upgradation of industrial structure,especially that of energy-intensive industries,plays a very important role in the improvement of regional air quality,which is recommended to be put in top priority for authorities.Therefore,policies as increasing investments in technological innovation in energy-intensive industries,deepening cooperation in environmental governance between different provinces and cities,and strengthening supervision and entry restrictions are suggested.展开更多
This paper reports the innovation effect of pharmaceutical industry agglomeration from the perspective of patterns of agglomeration and innovation,by using registration application data for innovative and generic drug...This paper reports the innovation effect of pharmaceutical industry agglomeration from the perspective of patterns of agglomeration and innovation,by using registration application data for innovative and generic drugs as indicators of pharmaceutical innovation.First,the distribution of the pharmaceutical industry in China is characterized by high agglomeration and low innovation.Second,no significant infuence is exerted by regional industrial and development zone agglomeration on the development of innovative drugs in different regions;the effect of the promotion of generic drugs is reflected mainly in the location entropy index.Third,the existence of a crowding effect weakens the effect of the promotion of agglomeration on pharmaceutical innovation and the adverse impact on innovative drugs is significantly greater than the effect on generic drugs.In further research,we explored the bias effect of agglomeration in development zones and the synergistic effects of different agglomeration models.It is difficult to improve the quality of independent innovation by spatial agglomeration.Government-led development zones play a rather limited role in pharmaceutical innovation.展开更多
Industrial Agglomeration and Cluster Strategy in China Authors: Houkai WEI et al.Year: 2008Publisher: Economy&Management Publishing House,Beijing ISBN: 978-7-5096-0290-4(450 pages,in Chinese)An industrial cluster ...Industrial Agglomeration and Cluster Strategy in China Authors: Houkai WEI et al.Year: 2008Publisher: Economy&Management Publishing House,Beijing ISBN: 978-7-5096-0290-4(450 pages,in Chinese)An industrial cluster is more than an organizational mode that emerges out of the modern economy. In ancient China,the ceramic production in Jingdezhen,embroidery in Suzhou,the tea markets in Hangzhou,etc.,were all good examples of industrial clusters. However,as the planned economic system was gradually implemented after the founding of People’s Republic of China。展开更多
Based on the plant level data from the First National Census of Basic Units, the Second National Census of Basic Units, and the First National Economic Census of China, this paper ex- amines the geographical agglomera...Based on the plant level data from the First National Census of Basic Units, the Second National Census of Basic Units, and the First National Economic Census of China, this paper ex- amines the geographical agglomeration of Chinese manufacturing industries at a more disaggregated level both by industrial classi-fication and spatial unit analysis. Applying the agglomeration index proposed by Maurel and Sedillot, studies show that the most agglomerated industries are resource-intensive, and capital and technology intensive while industries demanding localized inputs or serving localized markets or favored by local governments are fairly dispersed. The more disaggregated industries are more spa- tially agglomerated. At the finer spatial scale, industries are more dispersed. Results indicate that within-county spillovers are stronger than nearby-county spillovers, and within-prefecture spillovers are stronger than nearby prefecture spillovers. Local- ized spillovers are still quite substantial at a range beyond that of counties. Comparing the agglomeration index of Chinese manu- facturing industries in 1996, 2001 and 2004, agglomeration seems to be a general tendency. Results also indicate that some industries have experienced remarkable changes in their levels of agglom- eration in the period 1996–2004.展开更多
The innovative city pilot policy(ICPP)is an essential manifestation of China’s construction of an innovative and green-driven development country.We incorporated urban green total factor productivity(GTFP)growth into...The innovative city pilot policy(ICPP)is an essential manifestation of China’s construction of an innovative and green-driven development country.We incorporated urban green total factor productivity(GTFP)growth into the evaluation of ICPP.Based on the panel data of 223 cities in China from 2005 to 2020,we used the difference-in-differences model to empirically assess the influence and mechanism of the ICPP on urban GTFP growth.The main results show that(i)The ICPP has maintained an effectively fluctuating promotion on urban GTFP growth,mainly manifested in the urban green technological progress improvement.(ii)The ICPP has urban heterogeneity in promoting GTFP growth in pilot cities,mainly affecting key cities such as provincial capitals.(iii)The interaction between the agglomeration of producer services and the ICPP inhibits GTFP growth in pilot cities.展开更多
The food industry has developed into a leading industry in Northeast China.However,various economic indicators have shown a significant downward trend in recent years.Through the systematic analysis of the development...The food industry has developed into a leading industry in Northeast China.However,various economic indicators have shown a significant downward trend in recent years.Through the systematic analysis of the development trend of food industry in Northeast China in the past ten years,especially in 2014,it is found that in the context of stable and smooth operation of the food industry in China,the efficiency of the main processing industries declines in the three northeastern provinces of China,there is a simultaneous decline in the share of output value of the leading industries in the output value of manufacturing sector in three provinces,the collective and individual capital withdrawal is obvious in the paid-up capital,and there is a simultaneous decline in the industrial production and sales rate and the export delivery value.The food industry in Northeast China has plunged into the dilemma of development.Finally,this article puts forward some targeted recommendations from aspects of policy making,industrial agglomeration and enterprise cultivation.展开更多
China's outward foreign direct investment(FDI)is different from traditional FDI in various ways,for example being rooted in“Guanxi”in Chinese culture,influenced by govern-ment,and located in developed economies ...China's outward foreign direct investment(FDI)is different from traditional FDI in various ways,for example being rooted in“Guanxi”in Chinese culture,influenced by govern-ment,and located in developed economies where they have limited ownership advantages compared with local firms.Chinese investment in the United States(the U.s.)is an example of how the location is influenced by economic factors,social linkages,as well as geopolitical events,such as the U.S.-China trade conflict,which deserves more academic attention.It is such a complex phenomenon that cannot be fully explained by traditional FDI theories,which mainly focus on economic factors.In this paper,we illustrate the historical development,distri-bution and firm heterogeneity of Chinese investment in the U.S.from 2000 to 2020,and use a conditional logit model to investigate the location factors.Our study reveals that the number of Chinese investment projects in the U.S.peaked in 2017 and has declined year-over-year since then.These projects are mainly located along the East and West coasts of the U.S.and around the Great Lakes,with the largest numbers in California and New York.Previous Chinese in-vestment agglomeration and ethnic networks both influence the location choice of China's outward FDl,even when controlling for regional attributes and economic embeddedness.In terms of firm heterogeneity,Chinese firms that enter the American market with greenfield in-vestment modes,state-owned enterprises and firms in high-tech sectors are more likely to fol-low previous Chinese investment,but place less emphasis on Chinese ethnic linkages,implying that previous Chinese investment agglomeration can replace the role of Chinese ethnic net-works for these firms.Finally,the U.S.-China trade conflict has significantly lessened the active role of Chinese ethnic networks and has reduced Chinese investment in states with higher in-dustrial output.展开更多
Understanding the high-tech industrial agglomeration from a spatial-spillover perspective is essential for cities to gain economic and technological competitive advantages.Along with rapid urbanization and the develop...Understanding the high-tech industrial agglomeration from a spatial-spillover perspective is essential for cities to gain economic and technological competitive advantages.Along with rapid urbanization and the development of fast transportation networks,socioeconomic interactions between cities have been ever-increasing,traditional spatial metrics are not enough to describe actual inter-city connections.High-skilled labor flow between cities strongly influences the high-tech industrial agglomeration,yet receives less attention.By exploiting unique large-scale datasets and tools from complex network and data mining,the authors construct an inter-city high-skilled labor flow network,which was integrated into spatial econometric models.The regression results indicate that spatial-spillover effects exist in the development of high-tech industries in the Yangtze River Delta Urban Agglomeration region.Moreover,the spatial-spillover effects are stronger among cities with a higher volume of high-skilled labor flows than among cities with just stronger geographic connections.Additionally,the authors investigate the channels for the spillover effects and discover that inadequate local government expenses on science and technology likely hamper the high-tech industrial agglomeration,so does the inadequate local educational provision.The increasing foreign direct investments in one city likely encourages the high-tech industrial agglomeration in other cities because of the policy inertia toward traditional industries.展开更多
The Yangtze River Delta(YRD) is a region in China with a serious contradiction between economic growth and environmental pollution. Exploring the spatiotemporal effects and influencing factors of air pollution in the ...The Yangtze River Delta(YRD) is a region in China with a serious contradiction between economic growth and environmental pollution. Exploring the spatiotemporal effects and influencing factors of air pollution in the region is highly important for formulating policies to promote the high-quality development of urban industries. This study uses the spatial Durbin model(SDM) to analyze the local direct and spatial spillover effects of industrial transformation on air pollution and quantifies the contribution of each factor. From 2008 to 2018, there was a significant spatial agglomeration of industrial sulfur dioxide emissions(ISDE) in the YRD, and every 1% increase in ISDE led to a synchronous increase of 0.603% in the ISDE in adjacent cities. The industrial scale index(ISCI) and industrial structure index(ISTI), as the core factors of industrial transformation, significantly affect the emissions of sulfur dioxide in the YRD, and the elastic coefficients are 0.677 and-0.368, respectively. The order of the direct effect of the explanatory variables on local ISDE is ISCI>ISTI>foreign direct investment(FDI)>enterprise technological innovation(ETI)>environmental regulation(ER)> per capita GDP(PGDP). Similarly, the order of the spatial spillover effect of all variables on ISDE in adjacent cities is ISCI>PGDP>FDI>ETI>ISTI>ER, and the coefficients of the ISCI and ISTI are 1.531 and 0.113, respectively. This study contributes to the existing research that verifies the environmental Kuznets curve in the YRD, denies the pollution heaven hypothesis, indicates the Porter hypothesis, and provides empirical evidence for the formation mechanism of regional environmental pollution from a spatial spillover perspective.展开更多
基金Supported by the Major Program of Humanities and Social Sciences,Ministry of Education of China(10JYC790312)
文摘Firstly,agriculture,industry and tourism in the Yangtze River Delta,Pearl River Delta and Bohai Economic Rim were chosen to represent the primary,secondary and tertiary industries respectively,and industrial agglomeration in the three economic zones was analyzed using location quotient coefficient method.Afterwards,the critical factors influencing industrial agglomeration were discussed using gray correlation analysis.The results showed that industrial agglomeration of agriculture,industry and tourism formed gradually in the three economic zones,and the critical factors influencing industrial agglomeration were human capital,science and technology progress,and natural resources.Meanwhile,environmental pollution affected and restricted the development of industrial agglomeration.
基金This work was supported by the National Natural Science Foundation of China(Grant No.72071043)the Natural Science Foundation of Jiangsu Province(Grant No.BK20201280)+1 种基金MOE(Ministry of Education in China)Project of Humanities and Social Sciences(Grant No.20YJAZH114)the major consulting research project of the Chinese Academy of Engineering“Strategic Research of China Construction 2035”(Grant No.2019-XZ-34-03).
文摘Although China’s construction machinery thrives to meet the needs of construction,a number of challenges still remain to be overcome,such as lack of thorough knowledge of regional disparities and several limitations in terms of carbon emissions and economic development.Meanwhile,a low-carbon economy was proposed and implemented in China.This research aims to investigate the differences in industrial agglomeration of construction machineries and further explore the relationship between industrial agglomeration and low-carbon economy.On this basis,spatiotemporal analysis was performed to evaluate the levels of industrial agglomeration in different regions based on the situations of China’s construction machinery industry.Furthermore,this study explored the interaction between industrial agglomeration and low-carbon economy utilizing the coupling coordination analysis method.Results showed that the coupling coordination of the two subsystems was extremely unbalanced in 2006,and it maintained an increasing trend,reaching a relatively high level in 2018.Finally,suggestions,such as establishing a policy guarantee system and implementing variable policies in different regions,were proposed to provide guidelines for the government decision-making and promote the sustainable development of China’s construction machinery industry.
基金a grant from the Natural Science Foundation of China (No.40401015)
文摘This paper investigates the forces that determine the industrial distribution of foreign manufacturing investment. It highlights the importance of industrial agglomeration and industrial linkage in attracting foreign investment to manufacturing industries. Using panel data for two-digit manufacturing industries in Beijing during the period of 1999-2004, this study finds that geographically agglomerated industries with strong intra-industrial linkages are indeed attractive to foreign investment. Previous foreign investment has led to the current industrial concentration or foreign investment. Investors also favor capital-intensive and technology-intensive industries, and they tend to be attracted to the most profitable and exporting industries, but avoid industries with high real labor costs and high entry barriers. Competitive local industries that possess comparative advantages are critical for attracting foreign investment. The existence of industrial clusters certainly enhances a city's attractiveness to foreign investment.
基金National Natural Science Foundation of China,No.41771133,No.41771181The Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDA19040403。
文摘Understanding the driving forces of regional air pollution and its mechanism has gained much attention in academic research,which can provide scientific policy-making basis for economy-environment sustainability in China.Being an important energy and industrial base,the North China Plain region has been experiencing severe air pollution.Therefore,understanding the relationship between industrialization and air quality in this region is of great importance for air quality improvement.In this study,the average annual concentrations of SO2,NO2 and PM10 in 47 sample cities at and above the prefecture level in the North China Plain region from 2007 to 2016 were used to illustrate the spatiotemporal characteristics of air pollution within this region.Furthermore,panel data model,panel vector autoregression model,and impulse response function were used to explore the correlation and driving mechanism between energy-intensive industries and regional air quality.The results show that:first,overall air quality improved in the study area between 2007 and 2016,with a significant greater fall in concentration of SO2 than that of NO2 and PM10;second,provincial border areas suffered from severe air pollution and showed an apparent spatial agglomeration trend of pollution;and third,the test results from different models all proved that energy-intensive industries such as the chemical,non-metallic mineral production,electric and thermal power production and supply industries,had a significant positive correlation with concentrations of air pollutants,and indicated an obvious short-term impulse response effect.It concludes that upgradation of industrial structure,especially that of energy-intensive industries,plays a very important role in the improvement of regional air quality,which is recommended to be put in top priority for authorities.Therefore,policies as increasing investments in technological innovation in energy-intensive industries,deepening cooperation in environmental governance between different provinces and cities,and strengthening supervision and entry restrictions are suggested.
文摘This paper reports the innovation effect of pharmaceutical industry agglomeration from the perspective of patterns of agglomeration and innovation,by using registration application data for innovative and generic drugs as indicators of pharmaceutical innovation.First,the distribution of the pharmaceutical industry in China is characterized by high agglomeration and low innovation.Second,no significant infuence is exerted by regional industrial and development zone agglomeration on the development of innovative drugs in different regions;the effect of the promotion of generic drugs is reflected mainly in the location entropy index.Third,the existence of a crowding effect weakens the effect of the promotion of agglomeration on pharmaceutical innovation and the adverse impact on innovative drugs is significantly greater than the effect on generic drugs.In further research,we explored the bias effect of agglomeration in development zones and the synergistic effects of different agglomeration models.It is difficult to improve the quality of independent innovation by spatial agglomeration.Government-led development zones play a rather limited role in pharmaceutical innovation.
文摘Industrial Agglomeration and Cluster Strategy in China Authors: Houkai WEI et al.Year: 2008Publisher: Economy&Management Publishing House,Beijing ISBN: 978-7-5096-0290-4(450 pages,in Chinese)An industrial cluster is more than an organizational mode that emerges out of the modern economy. In ancient China,the ceramic production in Jingdezhen,embroidery in Suzhou,the tea markets in Hangzhou,etc.,were all good examples of industrial clusters. However,as the planned economic system was gradually implemented after the founding of People’s Republic of China。
文摘Based on the plant level data from the First National Census of Basic Units, the Second National Census of Basic Units, and the First National Economic Census of China, this paper ex- amines the geographical agglomeration of Chinese manufacturing industries at a more disaggregated level both by industrial classi-fication and spatial unit analysis. Applying the agglomeration index proposed by Maurel and Sedillot, studies show that the most agglomerated industries are resource-intensive, and capital and technology intensive while industries demanding localized inputs or serving localized markets or favored by local governments are fairly dispersed. The more disaggregated industries are more spa- tially agglomerated. At the finer spatial scale, industries are more dispersed. Results indicate that within-county spillovers are stronger than nearby-county spillovers, and within-prefecture spillovers are stronger than nearby prefecture spillovers. Local- ized spillovers are still quite substantial at a range beyond that of counties. Comparing the agglomeration index of Chinese manu- facturing industries in 1996, 2001 and 2004, agglomeration seems to be a general tendency. Results also indicate that some industries have experienced remarkable changes in their levels of agglom- eration in the period 1996–2004.
基金Study on the Path of Promoting the Integration of“Three Societies”and Help Rural Revitalization in Chongqing,Chongqing Social Science Planning Office[Grant number.2019WT13]Study on the Cultivation of Language Service Talents Under the Background of Belt and Road Initiative,Chongqing Social Science Planning Office[Grant number.2021WYZX12].
文摘The innovative city pilot policy(ICPP)is an essential manifestation of China’s construction of an innovative and green-driven development country.We incorporated urban green total factor productivity(GTFP)growth into the evaluation of ICPP.Based on the panel data of 223 cities in China from 2005 to 2020,we used the difference-in-differences model to empirically assess the influence and mechanism of the ICPP on urban GTFP growth.The main results show that(i)The ICPP has maintained an effectively fluctuating promotion on urban GTFP growth,mainly manifested in the urban green technological progress improvement.(ii)The ICPP has urban heterogeneity in promoting GTFP growth in pilot cities,mainly affecting key cities such as provincial capitals.(iii)The interaction between the agglomeration of producer services and the ICPP inhibits GTFP growth in pilot cities.
基金Supported by National Natural Science Foundation of China(41301111)the "Thirteenth Five-Year Plan" Project of Northeast Institute of Geography and Agroecology of Chinese Academy of Sciences(Y6H2091001-3)
文摘The food industry has developed into a leading industry in Northeast China.However,various economic indicators have shown a significant downward trend in recent years.Through the systematic analysis of the development trend of food industry in Northeast China in the past ten years,especially in 2014,it is found that in the context of stable and smooth operation of the food industry in China,the efficiency of the main processing industries declines in the three northeastern provinces of China,there is a simultaneous decline in the share of output value of the leading industries in the output value of manufacturing sector in three provinces,the collective and individual capital withdrawal is obvious in the paid-up capital,and there is a simultaneous decline in the industrial production and sales rate and the export delivery value.The food industry in Northeast China has plunged into the dilemma of development.Finally,this article puts forward some targeted recommendations from aspects of policy making,industrial agglomeration and enterprise cultivation.
基金National Natural Science Foundation of China,No.42130510National Natural Science Foundation of China,No.41871110The National Social Science Fund of China,No.23BJL113。
文摘China's outward foreign direct investment(FDI)is different from traditional FDI in various ways,for example being rooted in“Guanxi”in Chinese culture,influenced by govern-ment,and located in developed economies where they have limited ownership advantages compared with local firms.Chinese investment in the United States(the U.s.)is an example of how the location is influenced by economic factors,social linkages,as well as geopolitical events,such as the U.S.-China trade conflict,which deserves more academic attention.It is such a complex phenomenon that cannot be fully explained by traditional FDI theories,which mainly focus on economic factors.In this paper,we illustrate the historical development,distri-bution and firm heterogeneity of Chinese investment in the U.S.from 2000 to 2020,and use a conditional logit model to investigate the location factors.Our study reveals that the number of Chinese investment projects in the U.S.peaked in 2017 and has declined year-over-year since then.These projects are mainly located along the East and West coasts of the U.S.and around the Great Lakes,with the largest numbers in California and New York.Previous Chinese in-vestment agglomeration and ethnic networks both influence the location choice of China's outward FDl,even when controlling for regional attributes and economic embeddedness.In terms of firm heterogeneity,Chinese firms that enter the American market with greenfield in-vestment modes,state-owned enterprises and firms in high-tech sectors are more likely to fol-low previous Chinese investment,but place less emphasis on Chinese ethnic linkages,implying that previous Chinese investment agglomeration can replace the role of Chinese ethnic net-works for these firms.Finally,the U.S.-China trade conflict has significantly lessened the active role of Chinese ethnic networks and has reduced Chinese investment in states with higher in-dustrial output.
基金supported by the National Natural Science Foundation of China under Grant Nos.71803007 and 61903020Humanities and Social Sciences Fund of the Ministry of Education of China under Grant No.18YJC630170+1 种基金Natural Science Fund of Zhejiang Province under Grant No.LQ19G010004Fundamental Research Funds for the Central Universities under Grant No.FRF-TP-20-024A2,buctrc201825。
文摘Understanding the high-tech industrial agglomeration from a spatial-spillover perspective is essential for cities to gain economic and technological competitive advantages.Along with rapid urbanization and the development of fast transportation networks,socioeconomic interactions between cities have been ever-increasing,traditional spatial metrics are not enough to describe actual inter-city connections.High-skilled labor flow between cities strongly influences the high-tech industrial agglomeration,yet receives less attention.By exploiting unique large-scale datasets and tools from complex network and data mining,the authors construct an inter-city high-skilled labor flow network,which was integrated into spatial econometric models.The regression results indicate that spatial-spillover effects exist in the development of high-tech industries in the Yangtze River Delta Urban Agglomeration region.Moreover,the spatial-spillover effects are stronger among cities with a higher volume of high-skilled labor flows than among cities with just stronger geographic connections.Additionally,the authors investigate the channels for the spillover effects and discover that inadequate local government expenses on science and technology likely hamper the high-tech industrial agglomeration,so does the inadequate local educational provision.The increasing foreign direct investments in one city likely encourages the high-tech industrial agglomeration in other cities because of the policy inertia toward traditional industries.
基金The Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDA23020101National Natural Science Foundation of China,No.41901181。
文摘The Yangtze River Delta(YRD) is a region in China with a serious contradiction between economic growth and environmental pollution. Exploring the spatiotemporal effects and influencing factors of air pollution in the region is highly important for formulating policies to promote the high-quality development of urban industries. This study uses the spatial Durbin model(SDM) to analyze the local direct and spatial spillover effects of industrial transformation on air pollution and quantifies the contribution of each factor. From 2008 to 2018, there was a significant spatial agglomeration of industrial sulfur dioxide emissions(ISDE) in the YRD, and every 1% increase in ISDE led to a synchronous increase of 0.603% in the ISDE in adjacent cities. The industrial scale index(ISCI) and industrial structure index(ISTI), as the core factors of industrial transformation, significantly affect the emissions of sulfur dioxide in the YRD, and the elastic coefficients are 0.677 and-0.368, respectively. The order of the direct effect of the explanatory variables on local ISDE is ISCI>ISTI>foreign direct investment(FDI)>enterprise technological innovation(ETI)>environmental regulation(ER)> per capita GDP(PGDP). Similarly, the order of the spatial spillover effect of all variables on ISDE in adjacent cities is ISCI>PGDP>FDI>ETI>ISTI>ER, and the coefficients of the ISCI and ISTI are 1.531 and 0.113, respectively. This study contributes to the existing research that verifies the environmental Kuznets curve in the YRD, denies the pollution heaven hypothesis, indicates the Porter hypothesis, and provides empirical evidence for the formation mechanism of regional environmental pollution from a spatial spillover perspective.