The digital economy,which was born during the late third technological revolution,has caused significant economic and societal changes.Amid sluggish global economic growth,China’s economy is facing upgrades and trans...The digital economy,which was born during the late third technological revolution,has caused significant economic and societal changes.Amid sluggish global economic growth,China’s economy is facing upgrades and transformations.The sample selection for this study was conducted from 2013 to 2020.Data related to the digital economy and servitization of the industrial structure of 30 Chinese provinces,municipalities,and autonomous regions were collected.This study presents the human capital variable,based on which an econometric analysis was conducted,and examines its moderating effect.The findings indicate that even after the replacement variable indicator’s robustness test,the relationship between the digital economy and the servitization of industrial structures remains unchanged.This study demonstrats that the quality of human capital plays a positive role in this effect.Finally,a heterogeneity test demonstrated that there are different pathways for the impact of the digital economy on the servitization of industrial structures in the eastern,central,and western regions.This study provides evidence to help researchers understand the moderating utility of human capital.展开更多
With the swift advancement of the modern economy,the digital economy has progressively merged into various sectors.By leveraging cutting-edge information technology,it has become a pivotal strategy to enhance both pro...With the swift advancement of the modern economy,the digital economy has progressively merged into various sectors.By leveraging cutting-edge information technology,it has become a pivotal strategy to enhance both production efficiency and quality,representing the inevitable route for the transformation and upgrading of modern enterprises and industries.As the digital economy continues to develop and spread,technology has not only given rise to numerous new industries but also fostered a conducive environment for the transformation and upgrading of traditional sectors.This study takes this context as its research backdrop,examining the development background of the digital economy.It outlines the impact mechanisms through which the digital economy influences industrial structure upgrading and subsequently identifies the specific effects of the digital economy on such upgrades.Furthermore,it constructs a reform paradigm for the digital economy aimed at facilitating the upgrading of industrial structures.展开更多
Under the background of this era,green finance and the upgrading and optimization of industrial structure have become a hot research topic.The article focuses on Jiangsu Province,carefully explores the impact of green...Under the background of this era,green finance and the upgrading and optimization of industrial structure have become a hot research topic.The article focuses on Jiangsu Province,carefully explores the impact of green financial development on the upgrading and optimization of industrial structure and the real effect,collates and summarizes the theories of green finance and industrial structure at home and abroad,and carefully analyzes the development of green finance in Jiangsu Province,such as the gradual expansion of green credit scale,the characteristics of industrial structure,the change of the proportion of three industries,the development situation of emerging industries and so on.By means of econometrics,an empirical model covering Green Financial Development Indicators and industrial structure optimization indicators is established to do multiple linear regression analysis and stability test.The empirical results show that the development of green finance in Jiangsu plays an obvious positive role in the optimization and upgrading of industrial structure.Green finance is environmental protection,new energy and other green industries are given important financial support,which drives their scale expansion and technological innovation,and makes the industrial structure develop towards a higher level and a more reasonable direction.From this point of view,corresponding proposals are put forward to improve the policy incentive system,add green financial products,and strengthen the construction of green financial market.The purpose is to give better play to the advantages of green finance,accelerate the optimization and upgrading of industrial structure in Jiangsu,and provide theoretical basis and practical guidance for achieving green economic transformation and sustainable development.展开更多
Green finance,as an important policy to promote high-quality economic development,has become a focus of attention in the academic and policy circles for its promotion of industrial structure optimization.Based on the ...Green finance,as an important policy to promote high-quality economic development,has become a focus of attention in the academic and policy circles for its promotion of industrial structure optimization.Based on the data of six provinces in Central China from 2010 to 2023,this paper constructs a comprehensive index of green finance development by using entropy value method and empirically analyses the impact of green finance on industrial structure optimization.The results show that the level of green finance development has a significant contribution to the optimization of the industrial structure in the central region.Accordingly,this study provides suggestions for deepening green finance reform and accelerating industrial transformation and upgrading.展开更多
The aim was to study the main industry effect the double of the per capi- ta net income of farmers economic. The relation between six industry net income per capita income of farmers including grain, animal husbandry,...The aim was to study the main industry effect the double of the per capi- ta net income of farmers economic. The relation between six industry net income per capita income of farmers including grain, animal husbandry, flue-cured tobacco, walnut, long-term labor expot, seasonal labor export and the net income of farmers per capita in the Wazitian Village of Baoshan, Yunnan was studied by means of the effect main industry doubled net income of farmers per capita economic and the grey correlation analysis. The correlation degree of six industry and the net income of farmers per capita economic was long-term labor export〉seasonal labor export〉 walnut〉grain〉animal husbandry〉flue-cured tobacco. The pillar industry affecting the net income of farmers per capita economic was long-term labor export, seasonal la- bor export and walnut. The study provided the scionce theoretical basis and method of support for net income per capita economic multiplier of farmers in Baoshan, Yunnan province and even a similar low latitude mountain plateau.展开更多
Based on statistics, this paper reviews China＇s economic growth and industrial upgrade since the reform and opening up in 1978 and estimates the contribution of industrial restructuring to economic growth. With the y...Based on statistics, this paper reviews China＇s economic growth and industrial upgrade since the reform and opening up in 1978 and estimates the contribution of industrial restructuring to economic growth. With the years of schooling as the proxy variable of human capital, this paper describes changes in China＇s labor competence during the industrial restructuring process. Then, this paper estimates China＇s future human capital demand and shortage based on economic and demographic forecast. Lastly, this paper proposes recommendations for improving human capital in China with skills development and education.展开更多
By comparing the growth trajectories of East Asia and Latin America,this study finds that during industrialization,East Asian economies actively advanced their manufacturing sectors toward high-end production and achi...By comparing the growth trajectories of East Asia and Latin America,this study finds that during industrialization,East Asian economies actively advanced their manufacturing sectors toward high-end production and achieved a higher relative density of high-skilled labor within this sector.In contrast,Latin American economies experienced a“low-end lock-in”in manufacturing,with high-skilled labor more heavily concentrated in the service sector.To provide a unified explanation of these patterns of industrial transformation and labor allocation,this paper develops a three-sector general equilibrium model that includes basic manufacturing(BM),high-end manufacturing(HM),and services,and incorporates labor heterogeneity.The model captures how,under different development thresholds for HM,the allocation of high-skilled labor across sectors leads to two distinct structural transformation paths:from BM to HM,or from BM to services.These paths,in turn,generate different trajectories of human capital accumulation and economic growth performance.Simulation analysis shows that dynamically adjusted industrial policies are more effective than static ones,and that combining education policy with industrial policy yields better outcomes than either policy alone.This study extends theoretical research on industrial structural transformation,highlights the importance of HM for latecomer economies,and offers theoretical underpinnings and decision-making insights for advancing new industrialization and deepening integration between industrial and talent chains.展开更多
Water is a key restricting factor of the economic development and eco-environmental protection in arid inland river basins of Northwest China. Although water supplies are short, the water utilization structure and the...Water is a key restricting factor of the economic development and eco-environmental protection in arid inland river basins of Northwest China. Although water supplies are short, the water utilization structure and the corresponding industrial structure are unbalanced. We constructed a System Dynamic Model for mutual optimization based on the mechanism of their interaction. This model is applied to the Heihe River Basin where the share of limited water resources among ecosystem, production and human living is optimized. Results show that, by mutual optimization, the water utilization structure and the industrial structures fit in with each other. And the relationships between the upper, middle and lower reaches of the Heihe River Basin can be harmonized. Mutual benefits of ecology, society and economy can be reached, and a sustainable ecology-production-living system can be obtained. This study gives a new insight and method for the sustainable utilization of water resources in arid inland river basins.展开更多
Using a sample of 14 prefecture-level cities in Liaoning Province, this study first explored the spatial hierarchy and structural characteristics of energy efficiency from the following three viewpoints： energy techn...Using a sample of 14 prefecture-level cities in Liaoning Province, this study first explored the spatial hierarchy and structural characteristics of energy efficiency from the following three viewpoints： energy technical efficiency based on data envelopment analysis, energy consumption per unit of GDP, and energy utilization efficiency combining the previous two indexes After measuring and analyzing the advancement, rationality, and concentration of the industrial structure in each city, we made some generalizations about the coupling features of the energy efficiency and industrial structure in Liaoning, using the coupling degree rating model Some of our conclusions are as follows： （1） The 14 cities differ significantly in their en- ergy efficiency, with Shenyang, Dalian, Anshan, and Jinzhou enjoying the highest energy effi- ciency. Northwestern Liaoning and other heavy-industrial cities such as Fushun and Benxi belong to low-efficiency and high-consumption areas. （2） In areas with higher efficiency, the spatial patterns of the energy technical efficiency, energy consumption per unit of GDP, and energy utilization efficiency are, respectively, ＂π ＂-, ＂Ⅱ＂- and ＂H＂- shaped. Geographically, the energy utilization efficiency shows different trends from east to west and from north to south. Factors such as the binuclear structure of economic development have a major effect on this spatial pattern of energy efficiency. （3） Southeastern Liaoning enjoys a highly advanced in- dustrial structure. Areas with a highly rational industrial structure form an ＂H＂ shape, with Shenyang and Dalian at the two poles. The urban agglomerations in middle and southern Liaoning have a highly concentrated industrial structure. （4） Overall, the coupling between energy efficiency and industrial structure is low in Liaoning, except for Shenyang and Dalian at both ends, where the coupling between an advanced industrial structure and energy efficiency is higher than in other cities.展开更多
Based on the data of gross domestic product(GDP),industrial added value and the proportion of industrial employees from 2000 to 2008,this paper studies the effect of industrial structure change on the regional economi...Based on the data of gross domestic product(GDP),industrial added value and the proportion of industrial employees from 2000 to 2008,this paper studies the effect of industrial structure change on the regional economic growth of Beijing-Tianjin-Hebei Metropolitan Region in China using the shift-share method.The results show that:1) In the 21st century,the industrial output of three industries,namely,primary,secondary,and tertiary,and the GDP grew rapidly in the study period.The tertiary industry grew the fastest;it had the largest contribution to the GDP and mean-while had become the most competitive industry in the metropolitan region.2) The development of cities within the region was not balanced.Firstly,compared with Tianjin,Beijing,as one of the two core cities,was more rational in the industrial structure.Secondly,the surrounding eight cities,which are Shijiazhuang,Qinhuangdao,Tangshan,Langfang,Baoding,Cangzhou,Zhangjiakou,and Chengde,were all uncompetitive than the two core cities.3) There was a great industrial gradient in the region(especially between the two core cities and the cities of Tangshan,Baoding,Zhangjia-kou,Chengde,Cangzhou,and Langfang).As a result,it is foreseeable that the industry transfer in the Bei-jing-Tianjin-Hebei Metropolitan Region will be one of the trends in regional development,and the industry transfer is inevitably to promote the regional integration.展开更多
This paper uses the mediation effect and a spatial panel model using panel data from 30 provinces in China from 2011 to 2019 to study the relationship between the digital economy,industrial structure,and carbon emissi...This paper uses the mediation effect and a spatial panel model using panel data from 30 provinces in China from 2011 to 2019 to study the relationship between the digital economy,industrial structure,and carbon emission.The research results show that the development of digital economy can effectively promote the reduction of carbon emissions.The development of the digital economy has a significant role in promoting the rationalization of the industrial structure.The digital economy not only directly suppresses carbon emissions,but also indirectly has a significant inhibitory effect on carbon emissions by promoting the rationalization and improvement of the industrial structure.The development of the digital economy suppresses the optimization of the industrial structure.The improvement of industrialization has hindered the industrialization process.It is necessary to strengthen research and development into digital technology and enhance the capacity of the digital economy to promote carbon emissions reduction.展开更多
Industrial transformation represents a unique economic phenomenon in China’s regional economy, and old industrial city reconstruction has long been a key problem that affects state security. As a typical old industri...Industrial transformation represents a unique economic phenomenon in China’s regional economy, and old industrial city reconstruction has long been a key problem that affects state security. As a typical old industrial city in China, Shenyang established its heavy industrial city position in the First Five-year Plan period(1953-1957), and this industrial structure has been consolidated for a long time. After 1978, Shenyang began its long lasting industrial reconstruction in an all-round way by 3 main initiatives including restructuring economic system, upgrading traditional industrial technology and developing high-tech industry. In the end of the 1990s, it could be identified that remarkable structural changes took place in city economy at large as well as individual industrial sector. According to the GDP proportion change, Shenyang is on the way to a high level industrial structure. The secondary industry also engendered significant shifting as smelting and textile industry declined sharply but IT industry increased largely. Although the ratio of the heavy industry to the light industry changed periodically, the heavy industrial output value most time kept a high proportion over 60% of the gross industrial output value in the past five decades. Shenyang has favorable conditions for developing equipment manufacturing industry, but it should carry out the program by establishing its leading role in urban economy plan, building "Theme Industrial Parks", improving Tiexi Industrial Zone, removing any kind of system barrier, enlarging private and other ownerships economy and improving technology, marketing and management by IT application. In response to economy globalization, Shenyang needs to expand the cooperation worldwide and improve the cohesion with surrounding cities.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
Over the past seven decades since the founding of the People's Republic of China in 1949,China's industrial structure has experienced transformations in various stages,which is consistent with the general patt...Over the past seven decades since the founding of the People's Republic of China in 1949,China's industrial structure has experienced transformations in various stages,which is consistent with the general pattern of industrialization and China's domestic and international situations.These changes also have to do with China's reforms in building the socialist market economic system.China's seven-decade industrial structural transformation offers valuable experiences:In promoting its industrial development,China has persistently carried out economic reforms,kept pace with changing factor and demand structures,invested in technology importation and innovation,leveraged global resources and markets,and formulated development policies in line with specific industrial development stages.Despite industrial structural problems,China has set the stage for innovation-driven development,further opening up,and balanced regional development.China's industrial structure will keep evolving amid its transition toward a competitive industrial nation.展开更多
Employing decoupling index and industrial structure characteristic bias index methods, this study analyzed the spatial-temporal characteristics of industrial structure transformations and their resulting carbon emissi...Employing decoupling index and industrial structure characteristic bias index methods, this study analyzed the spatial-temporal characteristics of industrial structure transformations and their resulting carbon emissions in the Xuzhou Metropolitan Area from 2000 to 2014, with a focus on their relationships and driving factors. Our research indicates that carbon emission intensity from industrial structures in the Xuzhou Metropolitan Area at first showed an increasing trend, which then decreased. Furthermore, the relationship between emissions and industrial economic growth has been trending toward absolute decoupling. From the perspective of the center-periphery, the Xuzhou Metropolitan Area formed a concentric pattern, where both progress towards low emissions and the level of technological advancement gradually diminished from the center to the periphery. In terms of variation across provinces, the ISCB index in the eastern Henan has decreased the slowest, followed by the southern Shandong and the northern Anhui, with the northern Jiangsu ranking last. During this period, resource-and labor-intensive industries were the primary growth industries in the northern Anhui and the eastern Henan, while labor-intensive industries dominated the southern Shandong and capital-intensive industries dominated the northern Jiangsu. In terms of city types, the spatial pattern for industrial structure indicates that recession resource-based cities had higher carbon emission intensities than mature resource-based cities, followed by non-resource-based cities and regenerative resource-based cities. Generally, the industrial structure in the Xuzhou Metropolitan Area has transformed from being resource-intensive to capital-intensive, and has been trending toward technology-intensive as resource availability has been exploited to exhaustion and then been regenerated. Industrial structure has been the leading factor causing heterogeneity of carbon emission intensities between metropolitan cities. Therefore, the key to optimizing the industrial structure and layout of metropolitan areas is to promote industrial structure transformation and improve the system controlling collaborative industrial development between cities.展开更多
Based on the panel data of 30 provinces, municipalities, and autonomous regions in China from 2011 to 2018, this paper uses the digital inclusive financial index and industrial structure upgrading coefficient of the I...Based on the panel data of 30 provinces, municipalities, and autonomous regions in China from 2011 to 2018, this paper uses the digital inclusive financial index and industrial structure upgrading coefficient of the Internet Research Center of Peking University as the core explanatory and explained variables to construct a spatial panel. Bin model performs </span><span style="font-family:Verdana;">regression</span><span style="font-family:Verdana;"> analysis on the effect of digital inclusive finance in the upgrading of industrial structure. The results prove that the development of digital inclusive finance in this province and city has significantly promoted the upgrading of the regional industrial structure, and it has a positive overall effect on the upgrading of industrial structure.展开更多
Acting as an important driving force for the change of the regional land use,the change of industrial structure also has some influences on the ecological environment.The assessment and mechanism analysis of these inf...Acting as an important driving force for the change of the regional land use,the change of industrial structure also has some influences on the ecological environment.The assessment and mechanism analysis of these influences will be beneficial to the sustainable development of regional economy and the im- provement of relationships between man and earth.Taking Chuzhou City in Anhui Province as an example,on the basis of a qualitative analysis of the influence of the development of differ- ent industry on the regional ecological environment,this paper builds the influence factor of industrial structure on natural envi- ronment and the influence index of industrial structure on natural environment,makes a quantitative assessment of the change of the industrial structure and its comprehensive influences on the eco- logical environment in the Chuzhou City from 1974 to 1995. Studies show that,during the analysed period,Chuzhou City's industrial structure has changed markedly,having undergone two transformations.The influence of industrial structure on natural environment from 1974 to 1995 increased as a whole,while from 1996 to 2004,the influence of industrial structure on natural en- vironment decreased year-on-year.These changes indicate that the regional change of industrial structure results in better ecological effects.Finally,we propose appropriate regulatory measures ac- cording to our research results.展开更多
DEA is a new research field in operations research. It has unique virtues in dealing with assessment problem with multi-inputs especially multi-outputs. In this paper, DEA model of D?着C2R has been applied to evaluate...DEA is a new research field in operations research. It has unique virtues in dealing with assessment problem with multi-inputs especially multi-outputs. In this paper, DEA model of D?着C2R has been applied to evaluate the relative efficiency of several different schemes of industrial structure adjustment of agriculture and finally select the optimal scheme. Furthermore, the inferior scheme has been improved according to some useful insights got from DEA model.展开更多
Optimizing industrial structure is an important research object of human-economic geography, and it is also the object of government departments to strengthen macro-control. This has become even greater problem that C...Optimizing industrial structure is an important research object of human-economic geography, and it is also the object of government departments to strengthen macro-control. This has become even greater problem that China has entered the "new normal" in recent years. The study uses a multi-regional input-output model, with linear programming to build an optimal model of industrial structure as well as a model of optimization degree under the energy constraint. The results of the study revealed that:(1) the degree of optimization of industrial structure in Anhui Province is optimal(0.763), while that of Shanxi Province is the lowest(0.662);(2) the degree of optimization of industrial structure is negatively related to energy consumption per unit output value and the proportion of heavy industry; and(3) overall, central China should maintain or moderately increase the proportions of resource-based industry, greatly increase the proportions of manufacturing, including transport and telecommunications equipment, computers and other electronic equipment, and moderately reduce the proportions of smelting and pressing of metals and non-metal mineral products. In terms of service industries, the region should greatly increase the proportions of the production and supply of natural gas and tap water, moderately reduce or maintain the proportions of transport and storage as well as tourism, and maintain or moderately reduce the proportions of wholesale trade, retail trade and catering services.展开更多
This study undertakes a systematic examination of characteristics of the spatio-temporal evolution of industrial economies in Central Asia from the perspectives of industrial scale,structural rationality,industrial co...This study undertakes a systematic examination of characteristics of the spatio-temporal evolution of industrial economies in Central Asia from the perspectives of industrial scale,structural rationality,industrial competitiveness,and industrial isomorphism.The results show that industrial structures in Central Asian countries are becoming increasingly advanced,with certain differences among them in the characteristics of this evolution.Kazakhstan has long had a tertiary-secondary-primary industrial pattern,and productive services have played an increasingly prominent role in the development of its tertiary industry.The transformation of the industrial structure in Uzbekistan,from a secondary-tertiary-primary pattern at its independence from the Soviet Union to a tertiary-secondary-primary pattern,is apparent.Tajikistan's industrial structure has also changed significantly in recent times.Its secondary industries shrunk while tertiary industries developed rapidly.In Kyrgyzstan,the ratios of secondary and tertiary industries to total industrial output have fluctuated significantly while considerable progress has been made in the service sector.The industrial structure of Turkmenistan is significantly lower than the other countries,and Turkmenistan is the only country in the Central Asian region which still shows a tertiary-secondary-primary industrial pattern.The feasibility and competitiveness of the industrial structures of these five Central Asian countries have different characteristics.Kazakhstan has structural advantages but lags in competitiveness,Uzbekistan is driven by both structural and competitive advantages,Tajikistan enjoys structural advantages while Kyrgyzstan lags behind in competitiveness,and Turkmenistan has a competitiveness-driven economy.Furthermore,values of the similar coefficient index of the three industrial structures in these countries were mostly above 0.95,the coefficients of the secondary industrial subdivisions in some countries were below 0.85,and those of tertiary industrial subdivisions among most countries were above 0.89,indicating considerable similarities in industrial structure among them.These findings are important in the context of establishing an effective industrial development strategy for the Silk Road Economic Belt,improving international cooperation,and upgrading industrial structures to achieve economic prosperity.展开更多
基金funded by the National Natural Science Foundation of China(Grant No.:72074035)the Fundamental Research Funds for the Central Universities(Grant No.:2022CDSKXYGG006)the Graduate Research and Innovation Foundation of Chongqing,China(Grant No.:CYB22057).
文摘The digital economy,which was born during the late third technological revolution,has caused significant economic and societal changes.Amid sluggish global economic growth,China’s economy is facing upgrades and transformations.The sample selection for this study was conducted from 2013 to 2020.Data related to the digital economy and servitization of the industrial structure of 30 Chinese provinces,municipalities,and autonomous regions were collected.This study presents the human capital variable,based on which an econometric analysis was conducted,and examines its moderating effect.The findings indicate that even after the replacement variable indicator’s robustness test,the relationship between the digital economy and the servitization of industrial structures remains unchanged.This study demonstrats that the quality of human capital plays a positive role in this effect.Finally,a heterogeneity test demonstrated that there are different pathways for the impact of the digital economy on the servitization of industrial structures in the eastern,central,and western regions.This study provides evidence to help researchers understand the moderating utility of human capital.
文摘With the swift advancement of the modern economy,the digital economy has progressively merged into various sectors.By leveraging cutting-edge information technology,it has become a pivotal strategy to enhance both production efficiency and quality,representing the inevitable route for the transformation and upgrading of modern enterprises and industries.As the digital economy continues to develop and spread,technology has not only given rise to numerous new industries but also fostered a conducive environment for the transformation and upgrading of traditional sectors.This study takes this context as its research backdrop,examining the development background of the digital economy.It outlines the impact mechanisms through which the digital economy influences industrial structure upgrading and subsequently identifies the specific effects of the digital economy on such upgrades.Furthermore,it constructs a reform paradigm for the digital economy aimed at facilitating the upgrading of industrial structures.
基金The Impact of Digital Economy on Green Development Efficiency.2025 Nanjing University of Science and Technology Zijin College Campus Level Scientific Research Project(Project No.:2025ZXSK0401011)。
文摘Under the background of this era,green finance and the upgrading and optimization of industrial structure have become a hot research topic.The article focuses on Jiangsu Province,carefully explores the impact of green financial development on the upgrading and optimization of industrial structure and the real effect,collates and summarizes the theories of green finance and industrial structure at home and abroad,and carefully analyzes the development of green finance in Jiangsu Province,such as the gradual expansion of green credit scale,the characteristics of industrial structure,the change of the proportion of three industries,the development situation of emerging industries and so on.By means of econometrics,an empirical model covering Green Financial Development Indicators and industrial structure optimization indicators is established to do multiple linear regression analysis and stability test.The empirical results show that the development of green finance in Jiangsu plays an obvious positive role in the optimization and upgrading of industrial structure.Green finance is environmental protection,new energy and other green industries are given important financial support,which drives their scale expansion and technological innovation,and makes the industrial structure develop towards a higher level and a more reasonable direction.From this point of view,corresponding proposals are put forward to improve the policy incentive system,add green financial products,and strengthen the construction of green financial market.The purpose is to give better play to the advantages of green finance,accelerate the optimization and upgrading of industrial structure in Jiangsu,and provide theoretical basis and practical guidance for achieving green economic transformation and sustainable development.
基金Project of Hunan Federation of Social Sciences,“Research on the Coupling Coordination Relationship between Green Finance and Industrial Structure Optimization in Hunan Province”(Project No.:XSP2023GLC027)。
文摘Green finance,as an important policy to promote high-quality economic development,has become a focus of attention in the academic and policy circles for its promotion of industrial structure optimization.Based on the data of six provinces in Central China from 2010 to 2023,this paper constructs a comprehensive index of green finance development by using entropy value method and empirically analyses the impact of green finance on industrial structure optimization.The results show that the level of green finance development has a significant contribution to the optimization of the industrial structure in the central region.Accordingly,this study provides suggestions for deepening green finance reform and accelerating industrial transformation and upgrading.
基金Supported by Yunnan Modern Agricultural Maize Industry Technology System Construction Program[(2009)53]Yunnan Modern Agricultural Maize Industry Technology System Construction Program[(2009)171]~~
文摘The aim was to study the main industry effect the double of the per capi- ta net income of farmers economic. The relation between six industry net income per capita income of farmers including grain, animal husbandry, flue-cured tobacco, walnut, long-term labor expot, seasonal labor export and the net income of farmers per capita in the Wazitian Village of Baoshan, Yunnan was studied by means of the effect main industry doubled net income of farmers per capita economic and the grey correlation analysis. The correlation degree of six industry and the net income of farmers per capita economic was long-term labor export〉seasonal labor export〉 walnut〉grain〉animal husbandry〉flue-cured tobacco. The pillar industry affecting the net income of farmers per capita economic was long-term labor export, seasonal la- bor export and walnut. The study provided the scionce theoretical basis and method of support for net income per capita economic multiplier of farmers in Baoshan, Yunnan province and even a similar low latitude mountain plateau.
文摘Based on statistics, this paper reviews China＇s economic growth and industrial upgrade since the reform and opening up in 1978 and estimates the contribution of industrial restructuring to economic growth. With the years of schooling as the proxy variable of human capital, this paper describes changes in China＇s labor competence during the industrial restructuring process. Then, this paper estimates China＇s future human capital demand and shortage based on economic and demographic forecast. Lastly, this paper proposes recommendations for improving human capital in China with skills development and education.
文摘By comparing the growth trajectories of East Asia and Latin America,this study finds that during industrialization,East Asian economies actively advanced their manufacturing sectors toward high-end production and achieved a higher relative density of high-skilled labor within this sector.In contrast,Latin American economies experienced a“low-end lock-in”in manufacturing,with high-skilled labor more heavily concentrated in the service sector.To provide a unified explanation of these patterns of industrial transformation and labor allocation,this paper develops a three-sector general equilibrium model that includes basic manufacturing(BM),high-end manufacturing(HM),and services,and incorporates labor heterogeneity.The model captures how,under different development thresholds for HM,the allocation of high-skilled labor across sectors leads to two distinct structural transformation paths:from BM to HM,or from BM to services.These paths,in turn,generate different trajectories of human capital accumulation and economic growth performance.Simulation analysis shows that dynamically adjusted industrial policies are more effective than static ones,and that combining education policy with industrial policy yields better outcomes than either policy alone.This study extends theoretical research on industrial structural transformation,highlights the importance of HM for latecomer economies,and offers theoretical underpinnings and decision-making insights for advancing new industrialization and deepening integration between industrial and talent chains.
基金Key Project of National Natural Science Foundation of China, No.40335049 National Natural Science Foundation of China, No.40471059
文摘Water is a key restricting factor of the economic development and eco-environmental protection in arid inland river basins of Northwest China. Although water supplies are short, the water utilization structure and the corresponding industrial structure are unbalanced. We constructed a System Dynamic Model for mutual optimization based on the mechanism of their interaction. This model is applied to the Heihe River Basin where the share of limited water resources among ecosystem, production and human living is optimized. Results show that, by mutual optimization, the water utilization structure and the industrial structures fit in with each other. And the relationships between the upper, middle and lower reaches of the Heihe River Basin can be harmonized. Mutual benefits of ecology, society and economy can be reached, and a sustainable ecology-production-living system can be obtained. This study gives a new insight and method for the sustainable utilization of water resources in arid inland river basins.
基金The MOE Project of Key Research Institute of Humanities and Social Sciences in University,No.14JJD790044Science and Technology Research Program Supported by the Education Department of Liaoning Province,No.L2013411
文摘Using a sample of 14 prefecture-level cities in Liaoning Province, this study first explored the spatial hierarchy and structural characteristics of energy efficiency from the following three viewpoints： energy technical efficiency based on data envelopment analysis, energy consumption per unit of GDP, and energy utilization efficiency combining the previous two indexes After measuring and analyzing the advancement, rationality, and concentration of the industrial structure in each city, we made some generalizations about the coupling features of the energy efficiency and industrial structure in Liaoning, using the coupling degree rating model Some of our conclusions are as follows： （1） The 14 cities differ significantly in their en- ergy efficiency, with Shenyang, Dalian, Anshan, and Jinzhou enjoying the highest energy effi- ciency. Northwestern Liaoning and other heavy-industrial cities such as Fushun and Benxi belong to low-efficiency and high-consumption areas. （2） In areas with higher efficiency, the spatial patterns of the energy technical efficiency, energy consumption per unit of GDP, and energy utilization efficiency are, respectively, ＂π ＂-, ＂Ⅱ＂- and ＂H＂- shaped. Geographically, the energy utilization efficiency shows different trends from east to west and from north to south. Factors such as the binuclear structure of economic development have a major effect on this spatial pattern of energy efficiency. （3） Southeastern Liaoning enjoys a highly advanced in- dustrial structure. Areas with a highly rational industrial structure form an ＂H＂ shape, with Shenyang and Dalian at the two poles. The urban agglomerations in middle and southern Liaoning have a highly concentrated industrial structure. （4） Overall, the coupling between energy efficiency and industrial structure is low in Liaoning, except for Shenyang and Dalian at both ends, where the coupling between an advanced industrial structure and energy efficiency is higher than in other cities.
基金Under the auspices of Major Program of National Social Science Foundation of China (No. 10ZD&022)Youth Research Project of Ministry of Education (Humanities and Social Sciences) (No. 10YJC790020)Central University of Finance and Economics'121 Talent Project' Fundation for Youth Doctor Development (No. QBJGL201004)
文摘Based on the data of gross domestic product(GDP),industrial added value and the proportion of industrial employees from 2000 to 2008,this paper studies the effect of industrial structure change on the regional economic growth of Beijing-Tianjin-Hebei Metropolitan Region in China using the shift-share method.The results show that:1) In the 21st century,the industrial output of three industries,namely,primary,secondary,and tertiary,and the GDP grew rapidly in the study period.The tertiary industry grew the fastest;it had the largest contribution to the GDP and mean-while had become the most competitive industry in the metropolitan region.2) The development of cities within the region was not balanced.Firstly,compared with Tianjin,Beijing,as one of the two core cities,was more rational in the industrial structure.Secondly,the surrounding eight cities,which are Shijiazhuang,Qinhuangdao,Tangshan,Langfang,Baoding,Cangzhou,Zhangjiakou,and Chengde,were all uncompetitive than the two core cities.3) There was a great industrial gradient in the region(especially between the two core cities and the cities of Tangshan,Baoding,Zhangjia-kou,Chengde,Cangzhou,and Langfang).As a result,it is foreseeable that the industry transfer in the Bei-jing-Tianjin-Hebei Metropolitan Region will be one of the trends in regional development,and the industry transfer is inevitably to promote the regional integration.
文摘This paper uses the mediation effect and a spatial panel model using panel data from 30 provinces in China from 2011 to 2019 to study the relationship between the digital economy,industrial structure,and carbon emission.The research results show that the development of digital economy can effectively promote the reduction of carbon emissions.The development of the digital economy has a significant role in promoting the rationalization of the industrial structure.The digital economy not only directly suppresses carbon emissions,but also indirectly has a significant inhibitory effect on carbon emissions by promoting the rationalization and improvement of the industrial structure.The development of the digital economy suppresses the optimization of the industrial structure.The improvement of industrialization has hindered the industrialization process.It is necessary to strengthen research and development into digital technology and enhance the capacity of the digital economy to promote carbon emissions reduction.
文摘Industrial transformation represents a unique economic phenomenon in China’s regional economy, and old industrial city reconstruction has long been a key problem that affects state security. As a typical old industrial city in China, Shenyang established its heavy industrial city position in the First Five-year Plan period(1953-1957), and this industrial structure has been consolidated for a long time. After 1978, Shenyang began its long lasting industrial reconstruction in an all-round way by 3 main initiatives including restructuring economic system, upgrading traditional industrial technology and developing high-tech industry. In the end of the 1990s, it could be identified that remarkable structural changes took place in city economy at large as well as individual industrial sector. According to the GDP proportion change, Shenyang is on the way to a high level industrial structure. The secondary industry also engendered significant shifting as smelting and textile industry declined sharply but IT industry increased largely. Although the ratio of the heavy industry to the light industry changed periodically, the heavy industrial output value most time kept a high proportion over 60% of the gross industrial output value in the past five decades. Shenyang has favorable conditions for developing equipment manufacturing industry, but it should carry out the program by establishing its leading role in urban economy plan, building "Theme Industrial Parks", improving Tiexi Industrial Zone, removing any kind of system barrier, enlarging private and other ownerships economy and improving technology, marketing and management by IT application. In response to economy globalization, Shenyang needs to expand the cooperation worldwide and improve the cohesion with surrounding cities.
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.
文摘Over the past seven decades since the founding of the People's Republic of China in 1949,China's industrial structure has experienced transformations in various stages,which is consistent with the general pattern of industrialization and China's domestic and international situations.These changes also have to do with China's reforms in building the socialist market economic system.China's seven-decade industrial structural transformation offers valuable experiences:In promoting its industrial development,China has persistently carried out economic reforms,kept pace with changing factor and demand structures,invested in technology importation and innovation,leveraged global resources and markets,and formulated development policies in line with specific industrial development stages.Despite industrial structural problems,China has set the stage for innovation-driven development,further opening up,and balanced regional development.China's industrial structure will keep evolving amid its transition toward a competitive industrial nation.
基金Under the auspices of the National Natural Science Foundation of China(No.41371146,41671123)National Social Science Foundation of China(No.13BJY067)
文摘Employing decoupling index and industrial structure characteristic bias index methods, this study analyzed the spatial-temporal characteristics of industrial structure transformations and their resulting carbon emissions in the Xuzhou Metropolitan Area from 2000 to 2014, with a focus on their relationships and driving factors. Our research indicates that carbon emission intensity from industrial structures in the Xuzhou Metropolitan Area at first showed an increasing trend, which then decreased. Furthermore, the relationship between emissions and industrial economic growth has been trending toward absolute decoupling. From the perspective of the center-periphery, the Xuzhou Metropolitan Area formed a concentric pattern, where both progress towards low emissions and the level of technological advancement gradually diminished from the center to the periphery. In terms of variation across provinces, the ISCB index in the eastern Henan has decreased the slowest, followed by the southern Shandong and the northern Anhui, with the northern Jiangsu ranking last. During this period, resource-and labor-intensive industries were the primary growth industries in the northern Anhui and the eastern Henan, while labor-intensive industries dominated the southern Shandong and capital-intensive industries dominated the northern Jiangsu. In terms of city types, the spatial pattern for industrial structure indicates that recession resource-based cities had higher carbon emission intensities than mature resource-based cities, followed by non-resource-based cities and regenerative resource-based cities. Generally, the industrial structure in the Xuzhou Metropolitan Area has transformed from being resource-intensive to capital-intensive, and has been trending toward technology-intensive as resource availability has been exploited to exhaustion and then been regenerated. Industrial structure has been the leading factor causing heterogeneity of carbon emission intensities between metropolitan cities. Therefore, the key to optimizing the industrial structure and layout of metropolitan areas is to promote industrial structure transformation and improve the system controlling collaborative industrial development between cities.
文摘Based on the panel data of 30 provinces, municipalities, and autonomous regions in China from 2011 to 2018, this paper uses the digital inclusive financial index and industrial structure upgrading coefficient of the Internet Research Center of Peking University as the core explanatory and explained variables to construct a spatial panel. Bin model performs </span><span style="font-family:Verdana;">regression</span><span style="font-family:Verdana;"> analysis on the effect of digital inclusive finance in the upgrading of industrial structure. The results prove that the development of digital inclusive finance in this province and city has significantly promoted the upgrading of the regional industrial structure, and it has a positive overall effect on the upgrading of industrial structure.
基金This paper was sponsored by the key project of National Natural Science Foundation of China （Grant Nos. 49831070, 40371106, 70341021）.
文摘Acting as an important driving force for the change of the regional land use,the change of industrial structure also has some influences on the ecological environment.The assessment and mechanism analysis of these influences will be beneficial to the sustainable development of regional economy and the im- provement of relationships between man and earth.Taking Chuzhou City in Anhui Province as an example,on the basis of a qualitative analysis of the influence of the development of differ- ent industry on the regional ecological environment,this paper builds the influence factor of industrial structure on natural envi- ronment and the influence index of industrial structure on natural environment,makes a quantitative assessment of the change of the industrial structure and its comprehensive influences on the eco- logical environment in the Chuzhou City from 1974 to 1995. Studies show that,during the analysed period,Chuzhou City's industrial structure has changed markedly,having undergone two transformations.The influence of industrial structure on natural environment from 1974 to 1995 increased as a whole,while from 1996 to 2004,the influence of industrial structure on natural en- vironment decreased year-on-year.These changes indicate that the regional change of industrial structure results in better ecological effects.Finally,we propose appropriate regulatory measures ac- cording to our research results.
文摘DEA is a new research field in operations research. It has unique virtues in dealing with assessment problem with multi-inputs especially multi-outputs. In this paper, DEA model of D?着C2R has been applied to evaluate the relative efficiency of several different schemes of industrial structure adjustment of agriculture and finally select the optimal scheme. Furthermore, the inferior scheme has been improved according to some useful insights got from DEA model.
基金National Natural Science Foundation of China,No.41271146,No.41201171
文摘Optimizing industrial structure is an important research object of human-economic geography, and it is also the object of government departments to strengthen macro-control. This has become even greater problem that China has entered the "new normal" in recent years. The study uses a multi-regional input-output model, with linear programming to build an optimal model of industrial structure as well as a model of optimization degree under the energy constraint. The results of the study revealed that:(1) the degree of optimization of industrial structure in Anhui Province is optimal(0.763), while that of Shanxi Province is the lowest(0.662);(2) the degree of optimization of industrial structure is negatively related to energy consumption per unit output value and the proportion of heavy industry; and(3) overall, central China should maintain or moderately increase the proportions of resource-based industry, greatly increase the proportions of manufacturing, including transport and telecommunications equipment, computers and other electronic equipment, and moderately reduce the proportions of smelting and pressing of metals and non-metal mineral products. In terms of service industries, the region should greatly increase the proportions of the production and supply of natural gas and tap water, moderately reduce or maintain the proportions of transport and storage as well as tourism, and maintain or moderately reduce the proportions of wholesale trade, retail trade and catering services.
基金The Strategic Priority Research Program of the CAS,No.XDA20040400National Natural Science Foundation of China,No.41801114。
文摘This study undertakes a systematic examination of characteristics of the spatio-temporal evolution of industrial economies in Central Asia from the perspectives of industrial scale,structural rationality,industrial competitiveness,and industrial isomorphism.The results show that industrial structures in Central Asian countries are becoming increasingly advanced,with certain differences among them in the characteristics of this evolution.Kazakhstan has long had a tertiary-secondary-primary industrial pattern,and productive services have played an increasingly prominent role in the development of its tertiary industry.The transformation of the industrial structure in Uzbekistan,from a secondary-tertiary-primary pattern at its independence from the Soviet Union to a tertiary-secondary-primary pattern,is apparent.Tajikistan's industrial structure has also changed significantly in recent times.Its secondary industries shrunk while tertiary industries developed rapidly.In Kyrgyzstan,the ratios of secondary and tertiary industries to total industrial output have fluctuated significantly while considerable progress has been made in the service sector.The industrial structure of Turkmenistan is significantly lower than the other countries,and Turkmenistan is the only country in the Central Asian region which still shows a tertiary-secondary-primary industrial pattern.The feasibility and competitiveness of the industrial structures of these five Central Asian countries have different characteristics.Kazakhstan has structural advantages but lags in competitiveness,Uzbekistan is driven by both structural and competitive advantages,Tajikistan enjoys structural advantages while Kyrgyzstan lags behind in competitiveness,and Turkmenistan has a competitiveness-driven economy.Furthermore,values of the similar coefficient index of the three industrial structures in these countries were mostly above 0.95,the coefficients of the secondary industrial subdivisions in some countries were below 0.85,and those of tertiary industrial subdivisions among most countries were above 0.89,indicating considerable similarities in industrial structure among them.These findings are important in the context of establishing an effective industrial development strategy for the Silk Road Economic Belt,improving international cooperation,and upgrading industrial structures to achieve economic prosperity.
