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
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
Cities are the main material processors asso- ciated with industrialization. The development of urban production based on fossil fuels is the major contributor to the rise of greenhouse gas density, and to global warm...Cities are the main material processors asso- ciated with industrialization. The development of urban production based on fossil fuels is the major contributor to the rise of greenhouse gas density, and to global warming. The concept of urban industrial structure optimization is considered to be a solution to urban sustainable develop- ment and global climate issues. Enforcing energy con- servation and reducing carbon emissions are playing key roles in addressing these issues. As such, quantitative accounting and the evaluation of energy consumption and corresponding carbon emissions, which are by-products of urban production, are critical, in order to discover potential opportunities to save energy and to reduce emissions. Conventional evaluation indicators, such as ＂energy consumption per unit output value＂ and ＂emissions per unit output value＂, are concerned with immediate consumptions and emissions; while the indirect consump- tions and emissions that occur throughout the supply chain are ignored. This does not support the optimization of the overall urban industrial system. To present a systematic evaluation framework for cities, this study constructs new evaluation indicators, based on the concepts of ＂embodied energy＂ and ＂embodied carbon emissions＂, which take both the immediate and indirect effects of energy consumption and emissions into account. Taking Beijing as a case, conventional evaluation indicators are compared with the newly constructed ones. Results show that the energy consumption and emissions of urban industries are represented better by the new indicators than by conventional indicators, and provide useful information for urban industrial structure optimization.展开更多
With analysis of producer's and factor supplier's dual optimization motives,this paper developed an optimal nominal output growth rate model that can conduct quantified estimation.Result of estimation of China...With analysis of producer's and factor supplier's dual optimization motives,this paper developed an optimal nominal output growth rate model that can conduct quantified estimation.Result of estimation of China's optimal industrial structure between1992 and 2009 indicates that optimal nominal output growth rate model has successfully quantified the impact of major events occurring in the process of China's economic operation on the level of deviation between actual industrial structure and optimal industrial structure.Quantitative indicators involved in this model can provide industrial policy instruments for the Chinese government in developing and adjusting industrial structure targets,optimizing resource allocation and advancing industrial structure optimization and upgrade.展开更多
Based on panel data from 31 Chinese provinces during 2010–2022,this study constructs a systematic theoretical framework incorporating clean energy investment,technological innovation,industrial structure optimization...Based on panel data from 31 Chinese provinces during 2010–2022,this study constructs a systematic theoretical framework incorporating clean energy investment,technological innovation,industrial structure optimization,and environ-mental governance,employing spatial econometric and threshold effect models to examine the impact mechanisms of clean energy development on sustainable economic growth.The findings reveal that clean energy development has a significant promoting effect on sustainable economic growth(impact coefficient 0.437)and generates notable spatial spillover effects(coefficient 0.328);technological innovation(38.24%),industrial structure optimization(31.47%),and environmental gov-ernance(25.89%)represent three crucial pathways through which clean energy drives sustainable economic development;this impact exhibits significant regional heterogeneity,with the eastern region(0.526)showing higher effects than central(0.437)and western regions(0.342),and demonstrating a strengthening trend over time.The innovative contributions of this paper include:the first combination of spatial econometrics and threshold effect models to study the economic effects of clean energy development;construction of a detailed measurement system for clean energy development that incorporates characteristics of different types of clean energy;and quantitative analysis of the inherent causes of regional differences using the Shapley value decomposition method.The research conclusions provide a theoretical foundation and practical guidance for formulating differentiated regional development strategies,strengthening technological innovation support,optimizing the industrial development environment,and enhancing environmental governance coordination.展开更多
A comprehensive evaluation index system is constructed,and the entropy weight TOPSIS method isused to measure the optimization level of the digital economy and tourism industry structure of 30 provinces inChina from 2...A comprehensive evaluation index system is constructed,and the entropy weight TOPSIS method isused to measure the optimization level of the digital economy and tourism industry structure of 30 provinces inChina from 2012 to 2021.Moreover,models such as quantile regression and panel threshold are used to explorethe influence of the digital economy(DIG)on the optimization of the tourism industry structure(TIS)as well as itstransmission mechanism.The study reveals that DIG significantly promotes TIS,which remains valid after endogeneity and robustness tests;the impact of DIG on TIS exhibited a“U-shape”effect that first decreases and thenincreases,and its highest significance is at the 90%quartile level.Threshold model tests revealed a nonlinearthreshold effect with DIG and tourism total factor productivity(TTFP)as a single threshold and tourism technological progress index(TECH)as a double threshold,and the second threshold has the largest effect of 0.163.Mechanism analysis found that the mediating impact of the DIG on the TIS was mediated by increasing the TTFP,and the TECH accounted for the highest proportion of 12.15%.Regional analysis revealed that the role of DIG onthe TIS is Central>East>West>Northeast,and the empowering effect is more significant in the high digital economylevel area and the high tourism industry structure optimization area.展开更多
This article focuses on the economic dividends of Heilongjiang Province hosting the 9th Asian Winter Games(2025),centered on the ice and snow economy’s high-quality development.Leveraging unique ice and snow resource...This article focuses on the economic dividends of Heilongjiang Province hosting the 9th Asian Winter Games(2025),centered on the ice and snow economy’s high-quality development.Leveraging unique ice and snow resources,Heilongjiang built a“sports events+full industrial chain”model,driving ice and snow tourism upgrading,equipment technology breakthroughs,and cultural brand internationalization.The event optimized the industrial structure by upgrading traditional industries,fostering emerging sectors,and advancing modern services.It also spurred infrastructure leapfrogs(transportation,smart cities,ecology),improved livelihoods(employment,income,public services),and boosted innovation(technology R&D,digital integration,opening-up).Looking ahead,Heilongjiang will use the event’s long-term effects to build a ice and snow-led modern industrial system for high-quality development.展开更多
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.
文摘Cities are the main material processors asso- ciated with industrialization. The development of urban production based on fossil fuels is the major contributor to the rise of greenhouse gas density, and to global warming. The concept of urban industrial structure optimization is considered to be a solution to urban sustainable develop- ment and global climate issues. Enforcing energy con- servation and reducing carbon emissions are playing key roles in addressing these issues. As such, quantitative accounting and the evaluation of energy consumption and corresponding carbon emissions, which are by-products of urban production, are critical, in order to discover potential opportunities to save energy and to reduce emissions. Conventional evaluation indicators, such as ＂energy consumption per unit output value＂ and ＂emissions per unit output value＂, are concerned with immediate consumptions and emissions; while the indirect consump- tions and emissions that occur throughout the supply chain are ignored. This does not support the optimization of the overall urban industrial system. To present a systematic evaluation framework for cities, this study constructs new evaluation indicators, based on the concepts of ＂embodied energy＂ and ＂embodied carbon emissions＂, which take both the immediate and indirect effects of energy consumption and emissions into account. Taking Beijing as a case, conventional evaluation indicators are compared with the newly constructed ones. Results show that the energy consumption and emissions of urban industries are represented better by the new indicators than by conventional indicators, and provide useful information for urban industrial structure optimization.
基金sponsored by major program of Human and Social Sciences Key Research Center under the Ministry of Education,Theory and Policy Research for the Development of China's Strategic Emerging Industries(Approval No.10JJD790013)National Social Sciences Fund major program"New Tendencies of World Industrial Development and China's Fostering of Strategic Emerging Industries"(Approval No.12&ZD068)major program of Liaoning Social Sciences Planning Fund Research on Strategies for Industrial Structure Optimization of Liaoning Province(Approval No.L10AJL004)
文摘With analysis of producer's and factor supplier's dual optimization motives,this paper developed an optimal nominal output growth rate model that can conduct quantified estimation.Result of estimation of China's optimal industrial structure between1992 and 2009 indicates that optimal nominal output growth rate model has successfully quantified the impact of major events occurring in the process of China's economic operation on the level of deviation between actual industrial structure and optimal industrial structure.Quantitative indicators involved in this model can provide industrial policy instruments for the Chinese government in developing and adjusting industrial structure targets,optimizing resource allocation and advancing industrial structure optimization and upgrade.
文摘Based on panel data from 31 Chinese provinces during 2010–2022,this study constructs a systematic theoretical framework incorporating clean energy investment,technological innovation,industrial structure optimization,and environ-mental governance,employing spatial econometric and threshold effect models to examine the impact mechanisms of clean energy development on sustainable economic growth.The findings reveal that clean energy development has a significant promoting effect on sustainable economic growth(impact coefficient 0.437)and generates notable spatial spillover effects(coefficient 0.328);technological innovation(38.24%),industrial structure optimization(31.47%),and environmental gov-ernance(25.89%)represent three crucial pathways through which clean energy drives sustainable economic development;this impact exhibits significant regional heterogeneity,with the eastern region(0.526)showing higher effects than central(0.437)and western regions(0.342),and demonstrating a strengthening trend over time.The innovative contributions of this paper include:the first combination of spatial econometrics and threshold effect models to study the economic effects of clean energy development;construction of a detailed measurement system for clean energy development that incorporates characteristics of different types of clean energy;and quantitative analysis of the inherent causes of regional differences using the Shapley value decomposition method.The research conclusions provide a theoretical foundation and practical guidance for formulating differentiated regional development strategies,strengthening technological innovation support,optimizing the industrial development environment,and enhancing environmental governance coordination.
基金The National Natural Science Foundation of China(42261042)The Hunan Provincial Natural Science Foundation(2024JJ7410)The Hunan Provincial Graduate Student Research and Innovation Program(CX20221095)。
文摘A comprehensive evaluation index system is constructed,and the entropy weight TOPSIS method isused to measure the optimization level of the digital economy and tourism industry structure of 30 provinces inChina from 2012 to 2021.Moreover,models such as quantile regression and panel threshold are used to explorethe influence of the digital economy(DIG)on the optimization of the tourism industry structure(TIS)as well as itstransmission mechanism.The study reveals that DIG significantly promotes TIS,which remains valid after endogeneity and robustness tests;the impact of DIG on TIS exhibited a“U-shape”effect that first decreases and thenincreases,and its highest significance is at the 90%quartile level.Threshold model tests revealed a nonlinearthreshold effect with DIG and tourism total factor productivity(TTFP)as a single threshold and tourism technological progress index(TECH)as a double threshold,and the second threshold has the largest effect of 0.163.Mechanism analysis found that the mediating impact of the DIG on the TIS was mediated by increasing the TTFP,and the TECH accounted for the highest proportion of 12.15%.Regional analysis revealed that the role of DIG onthe TIS is Central>East>West>Northeast,and the empowering effect is more significant in the high digital economylevel area and the high tourism industry structure optimization area.
文摘This article focuses on the economic dividends of Heilongjiang Province hosting the 9th Asian Winter Games(2025),centered on the ice and snow economy’s high-quality development.Leveraging unique ice and snow resources,Heilongjiang built a“sports events+full industrial chain”model,driving ice and snow tourism upgrading,equipment technology breakthroughs,and cultural brand internationalization.The event optimized the industrial structure by upgrading traditional industries,fostering emerging sectors,and advancing modern services.It also spurred infrastructure leapfrogs(transportation,smart cities,ecology),improved livelihoods(employment,income,public services),and boosted innovation(technology R&D,digital integration,opening-up).Looking ahead,Heilongjiang will use the event’s long-term effects to build a ice and snow-led modern industrial system for high-quality development.
