Qinghai is the strategic base and important fulcrum of the Belt and Road Initiative while tourism is a strategic pillar industry in Qinghai Province.Due to its rich tourism resources and unique ecological environment,...Qinghai is the strategic base and important fulcrum of the Belt and Road Initiative while tourism is a strategic pillar industry in Qinghai Province.Due to its rich tourism resources and unique ecological environment,the integration of tourism in Qinghai into the Belt and Road has attracted great attention of the Asian Development Bank(ADB).With the spatial data of tourism elements POI and the statistical data of 44 counties in Qinghai to analyze the characteristics and influencing factors of the spatial agglomeration of tourism in Qinghai,the paper conducts research on spatial coupling and concludes with the following results:The spatial agglomeration of tourism in Qinghai presents the distribution pattern of“one circle and one belt”;economic density and population density play an important role in the formation of the spatial agglomeration pattern of tourism with some spatial spillovers;Belt and Road has a significant impact on the promotion of tourism agglomeration in Qinghai.The paper suggests that tourism in Qinghai should fully integrate into the Belt and Road,giving full play to the guiding role of Belt and Road in the allocation of social and economic resources,and optimizing the spatial layout.展开更多
To study the difference of industrial location among different industries, this article is to test the spatial agglomeration across industries and firm sizes at the city level. Our research bases on a unique plant-lev...To study the difference of industrial location among different industries, this article is to test the spatial agglomeration across industries and firm sizes at the city level. Our research bases on a unique plant-level data set of Beijing and employs a distance-based approach, which considers space as continuous. Unlike previous studies, we set two sets of references for service and manufacturing industries respectively to adapt to the investigation in the intra-urban area. Comparing among eight types of industries and different firm sizes, we find that: 1) producer service, high-tech industries and labor-intensive manufacturing industries are more likely to cluster, whereas personal service and capital-intensive industries tend to be randomly dispersed in Beijing; 2) the spillover of the co-location of finns is more important to knowledge-intensive industries and has more significant impact on their allocation than business-oriented services in the intra-urban area; 3) the spatial agglomeration of service industries are driven by larger establishments, whereas manufac- turing industries are mixed.展开更多
During the past two decades, the exhibition industry in China has been developing rapidly and has become an important part of the modern service industry, particularly the agglomeration characteristics of exhibition e...During the past two decades, the exhibition industry in China has been developing rapidly and has become an important part of the modern service industry, particularly the agglomeration characteristics of exhibition enterprises highlighted on the regional scale. Although the development of theoretical research on the western exhibition industry has taken place over time, the spatial perspective has not been at the centre of attention so far. This paper aims to fill this gap and report on the agglomeration characteristics of exhibition enterprises and their influential factors. Based on data about exhibition enterprises in the Pearl River Delta(PRD) during 1991–2013, using the Ripley K function analysis and kernel density estimation, this research identifies that: 1) the exhibition enterprise on the regional scale is significantly characterized by spatial agglomeration, and the agglomeration density and scale are continuously increasing; 2) the spatial pattern of agglomeration has developed from a single-center to multi-center form. Meanwhile, this paper profiles the factors influencing the spatial agglomeration of exhibition enterprises by selecting the panel data of nine cities in the PRD in 1999, 2002, 2006 and 2013. The results show that market capacity, urban informatization level and exhibition venues significantly influence the location choice of exhibition enterprises. Among them, the market capacity is a variable that exerts a far greater impact than other factors do.展开更多
With the further development of socialist market economy, the mobility of factor markets in China, especially the labor market, is strengthened. Externalities interacts with the agglomeration of productive factors. Un...With the further development of socialist market economy, the mobility of factor markets in China, especially the labor market, is strengthened. Externalities interacts with the agglomeration of productive factors. Under the framework of new economic geography, this article presents a theoretical model involving the endogenous population density affected by urban externalities. Results show that the population density is more concentrated around the center because the degree and extent of interaction between individuals intensifies when the distance from the center decreases. When there are several externalities resources, the aggregation of externalities changes the configuration of spatial factor allocation. These results fit well with the empirical facts about the decreasing density of floating population along the cities of Guangzhou, Dongguan and Shenzhen in Guangdong Province which is situated in the eastern coast of the Pearl River Delta. We fred that under the impacts of externalities released from Hong Kong into the coast, floating population was more concentrated around Shenzhen and Dongguan, which are more adjacent to Hong Kong compared with Guangzhou City.展开更多
Creative talents play a very important role in the vitality of a city. It is obvious that highly developed creative cities tend to have higher concentration of creative talents geographically. The article analyzed its...Creative talents play a very important role in the vitality of a city. It is obvious that highly developed creative cities tend to have higher concentration of creative talents geographically. The article analyzed its effects on six aspects: information sharing,collective learning, talents' learning & growing, knowledge spillover,innovation and scale in Shanghai for last 10 years by using the entropy method based on the established effect index system with15 indices. It attempted to understand not only achievements and challenges,but also internal relations between the effects of creative talents' agglomeration in Shanghai. The article would be a contribution for enhancing the agglomeration of creative talents in cities,promoting the development of creative industry and enhancing urban vitality and innovation in China.展开更多
The new spatial agglomeration of an open economy should conform to the spatial agglomeration theory of the new economic geography and the characteristic conditions of the Chinese population,follow the historical pract...The new spatial agglomeration of an open economy should conform to the spatial agglomeration theory of the new economic geography and the characteristic conditions of the Chinese population,follow the historical practice and development trend of the spatial agglomeration of China’s open economy for the past 40 years since reform and opening up,fit the transformation of the development status and goals of the Chinese economy,and fulfill the requirements of the new era brought about by the new trends of economic globalization.It is necessary to guide the open economy towards a proper clustering in the central and western regions and accelerate the regional opening up.Meanwhile,in order to promote the proper distribution of production factors and the coordinated development of an open economy,we should facilitate the spatial optimization distribution of production factors by employing the comparative regional advantages and endowments,thereby improving the international competitiveness of China’s open economy.展开更多
The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration rat...The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.展开更多
Pulmonary tuberculosis is an infectious disease caused by Mycobacterium tuberculosis,which currently has a high incidence worldwide.Based on the incidence and mortality data of tuberculosis in 31 provinces,municipalit...Pulmonary tuberculosis is an infectious disease caused by Mycobacterium tuberculosis,which currently has a high incidence worldwide.Based on the incidence and mortality data of tuberculosis in 31 provinces,municipalities and autonomous regions in Chinese mainland from 2015 to 2019,this paper analyzes and studies the spatial agglomeration and local accumulation effects of tuberculosis incidence in Chinese mainland.Studies show that there is an obvious seasonal trend in the transmission of tuberculosis.The incidence peaks in March each year after the bottom in February.In addition,the tuberculosis incidence shows obvious spatial agglomeration,with a relatively high incidence rate in Xinjiang,Tibet,Qinghai,Guizhou,etc.,while a low incidence rate in Beijing,Tianjin,Shanghai,Shandong,Jiangsu,Zhejiang,etc.Overall,the incidence has a clear upward trend from east to west,and the incidence rate in inland areas is higher than that in coastal areas.In addition,the paper also considers other factors that contribute to high-frequency transmissions,such as bad climate,poor air quality,and an underdeveloped economy.The most influential factor to the tuberculosis incidence is economic development level,and poor air quality in the northwest and southwest regions is also important reason for the high tuberculosis incidence.展开更多
On the basis of analyzing yearly data and spatial relationships between tourism spots, star hotels and travel agencies of Hainan Province, and comparing all the methods of measuring industrial spatial agglomeration, t...On the basis of analyzing yearly data and spatial relationships between tourism spots, star hotels and travel agencies of Hainan Province, and comparing all the methods of measuring industrial spatial agglomeration, this paper chose Hefindahl index, Location Quotient, nearest neighbor index, spatial connection index and geographic concentration index to measure Hainan tourism agglomeration. By applying these methods, total tourism agglomeration, agglomeration of tourism factors and regional agglomeration differences were studied. The results showed that the overall agglomeration increases as time flows, and the eastern part is the most agglomerated, the west takes the second, with the middle ranking the least. The large-scale agglomeration regions are Sanya and Haikou. The influencing factors of Hainan tourism spatial agglomeration were concluded as tourism resource endowment, industrial attributes, geographic conditions, governmental policies and the overall economic development level, etc. In addition, the paper proposed tourism spatial agglomeration modes of Hainan Province at various spatial scales.展开更多
This paper analyzes the present situation of China's territorial development and holds that the spatial framework for socio-economic development can not be naturally extended under the present conditions. Hence it...This paper analyzes the present situation of China's territorial development and holds that the spatial framework for socio-economic development can not be naturally extended under the present conditions. Hence it is necessary to strengthen rationally spatial agglomeration. The basic concept and framework for future territorial devel- opment are raised based on the elaboration of factors affecting the territorial development of China.展开更多
The resources-oriented industry cluster is geographically close to natural resources development and processing industry.The knowledge-intensive,technology-intensive,capital-intensive,and labor-intensive is a relative...The resources-oriented industry cluster is geographically close to natural resources development and processing industry.The knowledge-intensive,technology-intensive,capital-intensive,and labor-intensive is a relatively aggregate associated with natural resources and will structure commonality and complementary coupling so that economic and social development play a leading role in the complex adaptive systems closely related to ecological environment.A resources-oriented industry cluster in Yunnan has general common characteristics of industrial clusters and will form the characteristics of the enterprise spatial aggregation of innovative network of the industrial chain and value chain.According to the market structure of resources and resources market behavior in Yunnan,the particularity of resources commodity production has conduced resources market structure and general merchandise market structure many differences.Optimizing the cluster structure and extending the industrial chain have improved the productivity of the cluster and extension the lifecycle of the cluster to achieve sustainable development.展开更多
基金Asian Development Bank(ADB)Technical Assistance(TA)on the Integration of Tourism in Qinghai Province Into the Belt and Road Initiative(149788-S53524).
文摘Qinghai is the strategic base and important fulcrum of the Belt and Road Initiative while tourism is a strategic pillar industry in Qinghai Province.Due to its rich tourism resources and unique ecological environment,the integration of tourism in Qinghai into the Belt and Road has attracted great attention of the Asian Development Bank(ADB).With the spatial data of tourism elements POI and the statistical data of 44 counties in Qinghai to analyze the characteristics and influencing factors of the spatial agglomeration of tourism in Qinghai,the paper conducts research on spatial coupling and concludes with the following results:The spatial agglomeration of tourism in Qinghai presents the distribution pattern of“one circle and one belt”;economic density and population density play an important role in the formation of the spatial agglomeration pattern of tourism with some spatial spillovers;Belt and Road has a significant impact on the promotion of tourism agglomeration in Qinghai.The paper suggests that tourism in Qinghai should fully integrate into the Belt and Road,giving full play to the guiding role of Belt and Road in the allocation of social and economic resources,and optimizing the spatial layout.
基金State Key Program of National Natural Science of China(No.41230632)National Natural Science Foundation of China(No.41301123,41201169)
文摘To study the difference of industrial location among different industries, this article is to test the spatial agglomeration across industries and firm sizes at the city level. Our research bases on a unique plant-level data set of Beijing and employs a distance-based approach, which considers space as continuous. Unlike previous studies, we set two sets of references for service and manufacturing industries respectively to adapt to the investigation in the intra-urban area. Comparing among eight types of industries and different firm sizes, we find that: 1) producer service, high-tech industries and labor-intensive manufacturing industries are more likely to cluster, whereas personal service and capital-intensive industries tend to be randomly dispersed in Beijing; 2) the spillover of the co-location of finns is more important to knowledge-intensive industries and has more significant impact on their allocation than business-oriented services in the intra-urban area; 3) the spatial agglomeration of service industries are driven by larger establishments, whereas manufac- turing industries are mixed.
基金Under the auspices of Humanities and Social Science Foundation of Ministry of Education of China(No.10YJA790047)Funding Project for Academic Human Resources Development in Beijing Union University
文摘During the past two decades, the exhibition industry in China has been developing rapidly and has become an important part of the modern service industry, particularly the agglomeration characteristics of exhibition enterprises highlighted on the regional scale. Although the development of theoretical research on the western exhibition industry has taken place over time, the spatial perspective has not been at the centre of attention so far. This paper aims to fill this gap and report on the agglomeration characteristics of exhibition enterprises and their influential factors. Based on data about exhibition enterprises in the Pearl River Delta(PRD) during 1991–2013, using the Ripley K function analysis and kernel density estimation, this research identifies that: 1) the exhibition enterprise on the regional scale is significantly characterized by spatial agglomeration, and the agglomeration density and scale are continuously increasing; 2) the spatial pattern of agglomeration has developed from a single-center to multi-center form. Meanwhile, this paper profiles the factors influencing the spatial agglomeration of exhibition enterprises by selecting the panel data of nine cities in the PRD in 1999, 2002, 2006 and 2013. The results show that market capacity, urban informatization level and exhibition venues significantly influence the location choice of exhibition enterprises. Among them, the market capacity is a variable that exerts a far greater impact than other factors do.
基金This paper was supported by National Natural Science Foundation of China (Grant No. 40341008)
文摘With the further development of socialist market economy, the mobility of factor markets in China, especially the labor market, is strengthened. Externalities interacts with the agglomeration of productive factors. Under the framework of new economic geography, this article presents a theoretical model involving the endogenous population density affected by urban externalities. Results show that the population density is more concentrated around the center because the degree and extent of interaction between individuals intensifies when the distance from the center decreases. When there are several externalities resources, the aggregation of externalities changes the configuration of spatial factor allocation. These results fit well with the empirical facts about the decreasing density of floating population along the cities of Guangzhou, Dongguan and Shenzhen in Guangdong Province which is situated in the eastern coast of the Pearl River Delta. We fred that under the impacts of externalities released from Hong Kong into the coast, floating population was more concentrated around Shenzhen and Dongguan, which are more adjacent to Hong Kong compared with Guangzhou City.
基金National Natural Science Foundation of China(No.41301105)Ministry of Education in China Project of Humanities and Social Sciences(No.17YJAZH114)+5 种基金Shanghai Municipal Education Commission Project of Education Science,China(No.B14011)Shanghai Municipal Education Commission Scientific Research Innovation Project,China(No.2017-01-07-00-03-E00044)Talent Support Plan of Donghua University,China(No.15D210805)the Liberal Arts Research Beforehand of Donghua University,Chinathe Fundamental Research Funds for the Central University,China(No.17D110810)Shanghai Style Fashion Design&Value Creation Collaborative Innovation Center,China
文摘Creative talents play a very important role in the vitality of a city. It is obvious that highly developed creative cities tend to have higher concentration of creative talents geographically. The article analyzed its effects on six aspects: information sharing,collective learning, talents' learning & growing, knowledge spillover,innovation and scale in Shanghai for last 10 years by using the entropy method based on the established effect index system with15 indices. It attempted to understand not only achievements and challenges,but also internal relations between the effects of creative talents' agglomeration in Shanghai. The article would be a contribution for enhancing the agglomeration of creative talents in cities,promoting the development of creative industry and enhancing urban vitality and innovation in China.
文摘The new spatial agglomeration of an open economy should conform to the spatial agglomeration theory of the new economic geography and the characteristic conditions of the Chinese population,follow the historical practice and development trend of the spatial agglomeration of China’s open economy for the past 40 years since reform and opening up,fit the transformation of the development status and goals of the Chinese economy,and fulfill the requirements of the new era brought about by the new trends of economic globalization.It is necessary to guide the open economy towards a proper clustering in the central and western regions and accelerate the regional opening up.Meanwhile,in order to promote the proper distribution of production factors and the coordinated development of an open economy,we should facilitate the spatial optimization distribution of production factors by employing the comparative regional advantages and endowments,thereby improving the international competitiveness of China’s open economy.
基金Under the auspices of National Natural Science Foundation of China(No.41371135)Science and Technology Guide Plan Soft Science Project of Jilin Province(No.20120635)
文摘The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.
文摘Pulmonary tuberculosis is an infectious disease caused by Mycobacterium tuberculosis,which currently has a high incidence worldwide.Based on the incidence and mortality data of tuberculosis in 31 provinces,municipalities and autonomous regions in Chinese mainland from 2015 to 2019,this paper analyzes and studies the spatial agglomeration and local accumulation effects of tuberculosis incidence in Chinese mainland.Studies show that there is an obvious seasonal trend in the transmission of tuberculosis.The incidence peaks in March each year after the bottom in February.In addition,the tuberculosis incidence shows obvious spatial agglomeration,with a relatively high incidence rate in Xinjiang,Tibet,Qinghai,Guizhou,etc.,while a low incidence rate in Beijing,Tianjin,Shanghai,Shandong,Jiangsu,Zhejiang,etc.Overall,the incidence has a clear upward trend from east to west,and the incidence rate in inland areas is higher than that in coastal areas.In addition,the paper also considers other factors that contribute to high-frequency transmissions,such as bad climate,poor air quality,and an underdeveloped economy.The most influential factor to the tuberculosis incidence is economic development level,and poor air quality in the northwest and southwest regions is also important reason for the high tuberculosis incidence.
基金Sponsored by National Natural Science Foundation of China(51309134)Research Starting Funds for Imported TalentsNingxia University(BQD2012011)
文摘On the basis of analyzing yearly data and spatial relationships between tourism spots, star hotels and travel agencies of Hainan Province, and comparing all the methods of measuring industrial spatial agglomeration, this paper chose Hefindahl index, Location Quotient, nearest neighbor index, spatial connection index and geographic concentration index to measure Hainan tourism agglomeration. By applying these methods, total tourism agglomeration, agglomeration of tourism factors and regional agglomeration differences were studied. The results showed that the overall agglomeration increases as time flows, and the eastern part is the most agglomerated, the west takes the second, with the middle ranking the least. The large-scale agglomeration regions are Sanya and Haikou. The influencing factors of Hainan tourism spatial agglomeration were concluded as tourism resource endowment, industrial attributes, geographic conditions, governmental policies and the overall economic development level, etc. In addition, the paper proposed tourism spatial agglomeration modes of Hainan Province at various spatial scales.
基金Under the auspices of National Natural Science Foundation of China (No. 40871071)
文摘This paper analyzes the present situation of China's territorial development and holds that the spatial framework for socio-economic development can not be naturally extended under the present conditions. Hence it is necessary to strengthen rationally spatial agglomeration. The basic concept and framework for future territorial devel- opment are raised based on the elaboration of factors affecting the territorial development of China.
文摘The resources-oriented industry cluster is geographically close to natural resources development and processing industry.The knowledge-intensive,technology-intensive,capital-intensive,and labor-intensive is a relatively aggregate associated with natural resources and will structure commonality and complementary coupling so that economic and social development play a leading role in the complex adaptive systems closely related to ecological environment.A resources-oriented industry cluster in Yunnan has general common characteristics of industrial clusters and will form the characteristics of the enterprise spatial aggregation of innovative network of the industrial chain and value chain.According to the market structure of resources and resources market behavior in Yunnan,the particularity of resources commodity production has conduced resources market structure and general merchandise market structure many differences.Optimizing the cluster structure and extending the industrial chain have improved the productivity of the cluster and extension the lifecycle of the cluster to achieve sustainable development.