Green innovation is an important driving force for high-quality development and an important guarantee for the revitalization of the old industrial base in Northeast China.However,research on green innovation is still...Green innovation is an important driving force for high-quality development and an important guarantee for the revitalization of the old industrial base in Northeast China.However,research on green innovation is still insufficient.Using the super-efficiency epsilon-based measure Malmquist model,kernel density estimation,and spatial econometric model,this study investigated the spatiotemporal evolution characteristics and influencing factors of green innovation efficiency(GIE)in Northeast China from 2005 to 2020.The results reveal that:1)The GIE in Northeast China has obvious phased characteristics,where 2005-2011 was a period of fluctuating decline while 2012-2020 was a period of fluctuating increase,reflecting the severe resource and environmental constraints faced by the green innovation process.2)The GIE in the Northeast China has a significant spatial dependence,which has not formed a relatively stable spatial club feature.The process for improving the GIE in the Northeast China in the future is still arduous and far off.3)The interweaving and mutual influence of nonequilibrium factors have led to the diversity and complexity of the spatiotemporal pattern evolution of GIE.Overall,the level of economic development and industrial structure has a positive effect,while foreign investment and industrial agglomeration have a negative effect.The direct effects of government regulation,resource endowment,science and technology,environmental regulation,and urbanization are not significant.The research conclusion of this article can provide important reference for the revitalization of Northeast China.展开更多
Rough tourism growth does not promote dual-carbon goals nor the implementation of a comprehensive saving strategy.Accordingly,the booming development of the digital economy in recent years has provided new momentum fo...Rough tourism growth does not promote dual-carbon goals nor the implementation of a comprehensive saving strategy.Accordingly,the booming development of the digital economy in recent years has provided new momentum for structural upgrades and green growth in the tourism industry.This study aims to test the impact and mechanism of developments in the digital economy on the green innovation efficiency(GIE)of the tourism industry.Using provincial panel data from 2011 to 2019,this study quantifies the GIE of the tourism industry using the Su-per-SBM model of unexpected output.In this study,the digital economy development index was measured using principal component analysis and empirically analyzed using a two-way fixed effects regression model.The results of the study revealed that the development of the digital economy has promoted in large part the improvement of Chinese tourism GIE;the enhancement effect of the digital economy development on the eastern region is more noticeable than that of central and western regions;the digital economy can promote the enhancement of Chinese tourism GIE by promoting innovation in green technology and upgrades to industrial structure.Moreover,a distinct threshold in the promotion of tourism GIE by the digital economy exists,corresponding to a nonlinear diminishing marginal product.This study provides a new perspective for assessing the impact of the digital economy on the development of tourism GIE.Moreover,it provides a policy reference for exploring the path of tourism GIE and re-alizing high-quality development.展开更多
This paper first constructed a system to evaluate the innovation efficiency of industrial companies within China's Mainland.Then,a principal component analysis(PCA) was performed to these indicators for dimensiona...This paper first constructed a system to evaluate the innovation efficiency of industrial companies within China's Mainland.Then,a principal component analysis(PCA) was performed to these indicators for dimensionality reduction,so as to figure out the technology innovation efficiency in these two phases,respectively.Finally,the overall efficiency of industrial companies in different regions was estimated and factorized via data envelopment analysis(DEA).The results showed that:(1)the efficiency of green technology innovation of industrial companies in China was relatively low as a whole,which mainly resulted from pure technical efficiency(PTE).Further,this huge gap continues to expand in these regions.And both PTE and scale efficiency(SE) in central and western regions leave much to be expected.(2)In the first phase of green technology development,when environmental factors were concerned,the efficiency was much lower than that without environmental considerations.Besides,the central and western regions were facing increasingly severe environmental problems,and there was a wide disparity in technology development efficiency among eastern,central,and western regions.(3)In the second phase of green technology commercialization,there were still more rooms for improvement in raising the efficiency of green technology innovation,and the efficiency in eastern,central,and western regions was ranked from highest to lowest.(4)Liaoning,Hebei,Heilongjiang,Xinjiang,Shanxi,Inner Mongolia,Yunnan,and Qinghai should focus on improving their technology;Jilin,Jiangxi,Anhui,and Guangxi should make their efforts to reduce resource redundancy;whereas Ningxia and Gansu should try to solve the above two issues.展开更多
Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for...Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for green efficiency of agricultural innovation,and discusses the evolution laws and influencing factors of the green efficiency of China’s agricultural innovation from 2005 to 2017 utilizing the DEA model,Malmquist index,and Tobit regression analysis.The results show that:1)The overall green efficiency of China’s agricultural innovation is not high,the green efficiency of agricultural innovation in eastern China is mainly driven by pure technical efficiency,while that in central and western China is mainly driven by the scale efficiency.The green efficiency of agricultural innovation shows significant spatial differences,and the low efficiency and relatively low-efficiency regions moved to central and southeastern China.2)Technical progress is the main force affecting the change of green total factor productivity of China’s agricultural innovation,seeing a trend of decrease followed by an increase.Pure technical efficiency and scale efficiency exhibit an increasing-decreasing trend,and gradually transform into key factors that restrict the improvement of the green total factor productivity of agricultural innovation.3)Agricultural technologies’diffusion,absorption,and implementation are three influencing factors of the green efficiency of agricultural innovation.The local level of informatization,the number of agricultural technicians in enterprises and institutions,average education level of residents,and the level of agricultural mechanization have positive impacts on the promotion of the green efficiency of agricultural innovation,promoting the diffusion,absorption and implementation of agricultural innovation technology can significantly improve the green efficiency of agricultural innovation.展开更多
Rapid economic development usually leads to serious environmental pollution problems.In order to solve the problem of pollutant emission in sustainable industrial development,it is urgent to examine the implementation...Rapid economic development usually leads to serious environmental pollution problems.In order to solve the problem of pollutant emission in sustainable industrial development,it is urgent to examine the implementation effect of emissions trading policy(ETP)and its impact on green industrial development.This study adopts China's ETP as a case study and selects provincial panel data from 2004 to 2018.We first use a non-radial,non-directed,slack-based measure-directional distance function(SBM-DDF)to measure industrial green innovation efficiency.Then we use a difference in differences(DID)model to empirically test the emissions reduction effect of China's policy and whether it promotes industrial green innovation.Thereafter,results show that:(1)the ETP reduces sulfur dioxide(SO2)emissions indicating the effectiveness of the policy;(2)the policy significantly improves industrial green innovation efficiency,meaning it promotes the sustainable development of the economy;(3)heterogeneity analysis highlights that ETP produces greater benefits for the most polluted regions of China which have more strict environmental regulations.The study examines the effect of emissions trading policy implementation from a new perspective.The study also provides a reference point for China to further refine its policy mechanisms and for other countries to formulate suitable ETP.展开更多
基金Under the auspices of the National Natural Science Foundation of China(No.42571228,42401212)National Natural Science Foundation of Shandong(No.ZR2024MD022)。
文摘Green innovation is an important driving force for high-quality development and an important guarantee for the revitalization of the old industrial base in Northeast China.However,research on green innovation is still insufficient.Using the super-efficiency epsilon-based measure Malmquist model,kernel density estimation,and spatial econometric model,this study investigated the spatiotemporal evolution characteristics and influencing factors of green innovation efficiency(GIE)in Northeast China from 2005 to 2020.The results reveal that:1)The GIE in Northeast China has obvious phased characteristics,where 2005-2011 was a period of fluctuating decline while 2012-2020 was a period of fluctuating increase,reflecting the severe resource and environmental constraints faced by the green innovation process.2)The GIE in the Northeast China has a significant spatial dependence,which has not formed a relatively stable spatial club feature.The process for improving the GIE in the Northeast China in the future is still arduous and far off.3)The interweaving and mutual influence of nonequilibrium factors have led to the diversity and complexity of the spatiotemporal pattern evolution of GIE.Overall,the level of economic development and industrial structure has a positive effect,while foreign investment and industrial agglomeration have a negative effect.The direct effects of government regulation,resource endowment,science and technology,environmental regulation,and urbanization are not significant.The research conclusion of this article can provide important reference for the revitalization of Northeast China.
基金The National Natural Science Foundation of China(42271238)The Guangdong Natural Science Foundation for Basic and Applied Basic Research(2023A1515011882)。
文摘Rough tourism growth does not promote dual-carbon goals nor the implementation of a comprehensive saving strategy.Accordingly,the booming development of the digital economy in recent years has provided new momentum for structural upgrades and green growth in the tourism industry.This study aims to test the impact and mechanism of developments in the digital economy on the green innovation efficiency(GIE)of the tourism industry.Using provincial panel data from 2011 to 2019,this study quantifies the GIE of the tourism industry using the Su-per-SBM model of unexpected output.In this study,the digital economy development index was measured using principal component analysis and empirically analyzed using a two-way fixed effects regression model.The results of the study revealed that the development of the digital economy has promoted in large part the improvement of Chinese tourism GIE;the enhancement effect of the digital economy development on the eastern region is more noticeable than that of central and western regions;the digital economy can promote the enhancement of Chinese tourism GIE by promoting innovation in green technology and upgrades to industrial structure.Moreover,a distinct threshold in the promotion of tourism GIE by the digital economy exists,corresponding to a nonlinear diminishing marginal product.This study provides a new perspective for assessing the impact of the digital economy on the development of tourism GIE.Moreover,it provides a policy reference for exploring the path of tourism GIE and re-alizing high-quality development.
基金supported by the Humanities and Social Science project of Ministry of Education of China[Grant Number:16YJA790036]the National Natural Science Foundation of China[Grant Number:71503272]
文摘This paper first constructed a system to evaluate the innovation efficiency of industrial companies within China's Mainland.Then,a principal component analysis(PCA) was performed to these indicators for dimensionality reduction,so as to figure out the technology innovation efficiency in these two phases,respectively.Finally,the overall efficiency of industrial companies in different regions was estimated and factorized via data envelopment analysis(DEA).The results showed that:(1)the efficiency of green technology innovation of industrial companies in China was relatively low as a whole,which mainly resulted from pure technical efficiency(PTE).Further,this huge gap continues to expand in these regions.And both PTE and scale efficiency(SE) in central and western regions leave much to be expected.(2)In the first phase of green technology development,when environmental factors were concerned,the efficiency was much lower than that without environmental considerations.Besides,the central and western regions were facing increasingly severe environmental problems,and there was a wide disparity in technology development efficiency among eastern,central,and western regions.(3)In the second phase of green technology commercialization,there were still more rooms for improvement in raising the efficiency of green technology innovation,and the efficiency in eastern,central,and western regions was ranked from highest to lowest.(4)Liaoning,Hebei,Heilongjiang,Xinjiang,Shanxi,Inner Mongolia,Yunnan,and Qinghai should focus on improving their technology;Jilin,Jiangxi,Anhui,and Guangxi should make their efforts to reduce resource redundancy;whereas Ningxia and Gansu should try to solve the above two issues.
基金Under the auspices of National Natural Science Foundation of China(No.41971222)Planning Project of Philosophy and Social Science in Henan Province(No.2019BJJ019)+2 种基金Program for Innovative Research Team(in Science and Technology)in University of Henan Province(No.21IRTSTHN008)Graduate Education Quality Curriculum Construction Project of Henan Province(No.HNYJS2016KC24)First Class Discipline Development Project in Henan University(No.2019YLZDYJ12)。
文摘Agricultural innovation is important for the green transformation of agriculture.Based on the perspective of technology transformation,this paper builds a theoretical analysis framework and evaluation index system for green efficiency of agricultural innovation,and discusses the evolution laws and influencing factors of the green efficiency of China’s agricultural innovation from 2005 to 2017 utilizing the DEA model,Malmquist index,and Tobit regression analysis.The results show that:1)The overall green efficiency of China’s agricultural innovation is not high,the green efficiency of agricultural innovation in eastern China is mainly driven by pure technical efficiency,while that in central and western China is mainly driven by the scale efficiency.The green efficiency of agricultural innovation shows significant spatial differences,and the low efficiency and relatively low-efficiency regions moved to central and southeastern China.2)Technical progress is the main force affecting the change of green total factor productivity of China’s agricultural innovation,seeing a trend of decrease followed by an increase.Pure technical efficiency and scale efficiency exhibit an increasing-decreasing trend,and gradually transform into key factors that restrict the improvement of the green total factor productivity of agricultural innovation.3)Agricultural technologies’diffusion,absorption,and implementation are three influencing factors of the green efficiency of agricultural innovation.The local level of informatization,the number of agricultural technicians in enterprises and institutions,average education level of residents,and the level of agricultural mechanization have positive impacts on the promotion of the green efficiency of agricultural innovation,promoting the diffusion,absorption and implementation of agricultural innovation technology can significantly improve the green efficiency of agricultural innovation.
基金This work was supported by the National Social Science Fund projects[No.20BJY010]National Social Science Fund Postfinancing projects[No.19FJYB017]+5 种基金Sichuan-Tibet Railway Major Fundamental Science Problems Special Fund[No.71942006]Qinghai Natural Science Foundation[grant numbers 2020-JY-736]List of Key Science and Technology Projects in China's Transportation Industry in the International Science and Technology Cooperation Project[No.2018-GH-006 and grant numbers 2019-MS5-100]Shaanxi Social Science Fund[No.2017S004]Xi’an Construction Science and Technology Planning Project[No.SZJJ201915 and No.SZJJ201916]Fundamental Research for Funds for the Central Universities(Humanities and Social Sciences),Chang’an University[No.300102231641,300102230612,300102281669,300102230503].
文摘Rapid economic development usually leads to serious environmental pollution problems.In order to solve the problem of pollutant emission in sustainable industrial development,it is urgent to examine the implementation effect of emissions trading policy(ETP)and its impact on green industrial development.This study adopts China's ETP as a case study and selects provincial panel data from 2004 to 2018.We first use a non-radial,non-directed,slack-based measure-directional distance function(SBM-DDF)to measure industrial green innovation efficiency.Then we use a difference in differences(DID)model to empirically test the emissions reduction effect of China's policy and whether it promotes industrial green innovation.Thereafter,results show that:(1)the ETP reduces sulfur dioxide(SO2)emissions indicating the effectiveness of the policy;(2)the policy significantly improves industrial green innovation efficiency,meaning it promotes the sustainable development of the economy;(3)heterogeneity analysis highlights that ETP produces greater benefits for the most polluted regions of China which have more strict environmental regulations.The study examines the effect of emissions trading policy implementation from a new perspective.The study also provides a reference point for China to further refine its policy mechanisms and for other countries to formulate suitable ETP.
