Smart cities,a new kind of urbanization,offer a means of achieving the condition in which environmental conservation and economic growth are mutually beneficial.As a result,it is important to think about whether and h...Smart cities,a new kind of urbanization,offer a means of achieving the condition in which environmental conservation and economic growth are mutually beneficial.As a result,it is important to think about whether and how the development of smart cities might support the high-quality growth of urban economies.Based on the panel data of 163 prefecture-level cities in China from 2009–2018,the green total factor productivity(GTFP)of each prefecture-level city is measured using the SBM-GML model,and the appropriate spatial econometric model is screened by various types of tests.The spatial effect of smart city construction on GFTP is studied,and it is concluded that the pilot cities have a significant positive spatial spillover effect.The decomposition econometric model also shows that the pilot cities have a significant positive spatial spillover effect,and it also indicating that the smart city construction can also drive the surrounding cities to jointly improve the quality of economic development.Finally,the robustness of the spatial effect of smart city policy is also verified by changing the spatial measurement model and the type of spatial weight matrix,which also shows that the results of the spatial spillover effect of smart city construction are reliable.展开更多
This paper focuses on China's primary provinces along its Belt and Road Initiative,measures and analyses the provincial green total factor productivity (GTFP) development by GML index based on SBM directional dist...This paper focuses on China's primary provinces along its Belt and Road Initiative,measures and analyses the provincial green total factor productivity (GTFP) development by GML index based on SBM directional distance function,discusses the temporal evolution characteristics of spatial convergence of the provincial GTFP under multiple spatial weight matrices,and estimates the net effect of China's Belt and Road Initiative on the development gap of provincial GTFP by regression discontinuity.The research shows that the provincial GTFP is generally good while the internal gap is relatively large.There is spatial absolute βconvergence and condition βconvergence in provincial GTFP,and the convergence speed has been signifcantly accelerated since the construction of China's Belt and Road Initiative.The current low economy level and infrastructure allocation efficiency of primary provinces restrict the GTFP development,while government expenditure has promoted the GTFP development,trade between provinces and countries along China's Belt and Road Initiative is negative to GTFP.China's Belt and Road Initiative has significantly narrowed the gap of provincial GTFP development with the net effect of-0.016.展开更多
We use the directional slacks-based measure of efficiency and inverse distance weighting method to analyze the spatial pattern evolution of the industrial green total factor productivity of 108 cities in the Yangtze R...We use the directional slacks-based measure of efficiency and inverse distance weighting method to analyze the spatial pattern evolution of the industrial green total factor productivity of 108 cities in the Yangtze River Economic Belt in 2003–2013.Results show that both the subprime mortgage crisis and ‘the new normal' had significant negative effects on productivity growth,leading to the different spatial patterns between 2003–2008 and 2009–2013.Before 2008,green poles had gathered around some capital cities and formed a tripartite pattern,which was a typical core-periphery pattern.Due to a combination of the polarization and the diffusion effects,capital cities became the growth poles and ‘core' regions,while surrounding areas became the ‘periphery'.This was mainly caused by the innate advantage of capital cities and ‘the rise of central China' strategy.After 2008,the tripartite pattern changed to a multi-poles pattern where green poles continuously and densely spread in the midstream and downstream areas.This is due to the regional difference in the leading effect of green poles.The leading effect of green poles in midstream and downstream areas has changed from polarization to diffusion,while the polarization effect still leads in the upstream area.展开更多
This paper analyzes the relationship between transportation infrastructure and total factor productivity (TFP)growth in China with the spatial econometrics of panel data.The results of the empirical study show that th...This paper analyzes the relationship between transportation infrastructure and total factor productivity (TFP)growth in China with the spatial econometrics of panel data.The results of the empirical study show that there is anobvious spatial autocorrelation among China’s interlocal TFP from 1997 to 2007.Transportation infrastructure hasa positive impact on TFP in China; the addition of railway and road infrastructure caused China’s TFP to increase11.075 percentage points from 2001-07, making up 59.10% of TFP’s amplification.Freeways and first-class roadinfrastructure’s positive impacts are more obvious; direct effects are only 25.7% while indirect effects are 74.3%.Railinfrastructure had persistent positive impacts on China’s TFP from 2001-07; freeway infrastructure had persistentpositive impacts on China’s TFP from 1997-2007, but other road infrastructure has not shown these persistent effects.展开更多
The spatial spillover effect of energy insecurity on total factor productivity in the iron and steel industry,as well as the potential moderating role of industrial agglomeration,remains poorly understood.This study i...The spatial spillover effect of energy insecurity on total factor productivity in the iron and steel industry,as well as the potential moderating role of industrial agglomeration,remains poorly understood.This study inves-tigated the spatial spillover effect of energy security on total factor productivity and the moderating role of industrial agglomeration in the relationship between energy security and total factor productivity in the iron and steel industry.Panel data from 24 provinces in China spanning the years 2010 to 2019 were used for this analysis.The research findings demonstrate a positive spatial spillover effect of energy security on total factor productivity,which displays a distinct pattern of attenuated spatial spillover effects.Moreover,evidence from quasi-natural experiments shows a negative spillover effect on total factor productivity when using the energy security-policy interaction term,high-lighting the significant impact of policy factors on total factor productivity.Threshold effect tests reveal a“strong-weak”V-shaped trend in the impact of energy security with the increase of industrial agglomeration levels.In addition,this study found an inverted U-shaped relationship between energy security and the impact of industrial agglomeration,suggesting that enhancing energy security contributes to the growth of total factor productivity in the iron and steel industry.The ultimate objective of this research is to provide valuable policy recommendations to the government for ensuring energy security and promoting the sustainable growth of total factor productivity in the iron and steel industry.展开更多
In advancing the high-quality development of the tourism industry,enhancing green total factor productivity in tourism(GTFPT)within the sector emerges as a critical strategy for mitigating vulnerabilities and a vital ...In advancing the high-quality development of the tourism industry,enhancing green total factor productivity in tourism(GTFPT)within the sector emerges as a critical strategy for mitigating vulnerabilities and a vital mechanism for strengthening tourism industry resilience.This study constructs analytical frameworks for both tourism industry resilience and GTFPT,and develops a dynamic spatial effect model to investigate the temporal and spatial influence mechanisms through which GTFPT promotes tourism resilience in China from 2012 to 2020.Thefindings reveal several key insights:(1)The resilience of China’s tourism industry follows a fluctuating upward trajectory,with marked regional disparities,particularly notable in the Southwest and Northwest regions,which benefit from latecomer growth advantages.(2)GTFPT in tourism significantly enhances industry resilience,with technological innovation and technology finance serving as positive moderating factors in this relationship.(3)GTFPT in tourism not only strengthens resilience at the local level but also generates substantial spatial spillover effects,benefitting neighboring provinces in both the short and long term,with the magnitude of these spillover effects surpassing direct impacts.These findings provide compelling evidence of the connection between green development and the sustainable,high-quality advancement of the tourism sector,offering valuable insights for boosting tourism resilience and fostering stronger regional spatial interactions.展开更多
基金Jilin Province Social Science Project:Path Analysis and Empirical Research on Empowering Rural Industry Integration with Digital Economy in Jilin Province 2023B40Key Project of Education Science Planning in Jilin Province:Exploration of Talent Training Model for Economic Statistics Majors in Universities Based on OBE Theory-Taking Jilin Jianzhu University as an Example.ZD22028.
文摘Smart cities,a new kind of urbanization,offer a means of achieving the condition in which environmental conservation and economic growth are mutually beneficial.As a result,it is important to think about whether and how the development of smart cities might support the high-quality growth of urban economies.Based on the panel data of 163 prefecture-level cities in China from 2009–2018,the green total factor productivity(GTFP)of each prefecture-level city is measured using the SBM-GML model,and the appropriate spatial econometric model is screened by various types of tests.The spatial effect of smart city construction on GFTP is studied,and it is concluded that the pilot cities have a significant positive spatial spillover effect.The decomposition econometric model also shows that the pilot cities have a significant positive spatial spillover effect,and it also indicating that the smart city construction can also drive the surrounding cities to jointly improve the quality of economic development.Finally,the robustness of the spatial effect of smart city policy is also verified by changing the spatial measurement model and the type of spatial weight matrix,which also shows that the results of the spatial spillover effect of smart city construction are reliable.
文摘This paper focuses on China's primary provinces along its Belt and Road Initiative,measures and analyses the provincial green total factor productivity (GTFP) development by GML index based on SBM directional distance function,discusses the temporal evolution characteristics of spatial convergence of the provincial GTFP under multiple spatial weight matrices,and estimates the net effect of China's Belt and Road Initiative on the development gap of provincial GTFP by regression discontinuity.The research shows that the provincial GTFP is generally good while the internal gap is relatively large.There is spatial absolute βconvergence and condition βconvergence in provincial GTFP,and the convergence speed has been signifcantly accelerated since the construction of China's Belt and Road Initiative.The current low economy level and infrastructure allocation efficiency of primary provinces restrict the GTFP development,while government expenditure has promoted the GTFP development,trade between provinces and countries along China's Belt and Road Initiative is negative to GTFP.China's Belt and Road Initiative has significantly narrowed the gap of provincial GTFP development with the net effect of-0.016.
基金Under the auspices of the post-funded project of National Social Science Foundation of China(No.16FJL009)
文摘We use the directional slacks-based measure of efficiency and inverse distance weighting method to analyze the spatial pattern evolution of the industrial green total factor productivity of 108 cities in the Yangtze River Economic Belt in 2003–2013.Results show that both the subprime mortgage crisis and ‘the new normal' had significant negative effects on productivity growth,leading to the different spatial patterns between 2003–2008 and 2009–2013.Before 2008,green poles had gathered around some capital cities and formed a tripartite pattern,which was a typical core-periphery pattern.Due to a combination of the polarization and the diffusion effects,capital cities became the growth poles and ‘core' regions,while surrounding areas became the ‘periphery'.This was mainly caused by the innate advantage of capital cities and ‘the rise of central China' strategy.After 2008,the tripartite pattern changed to a multi-poles pattern where green poles continuously and densely spread in the midstream and downstream areas.This is due to the regional difference in the leading effect of green poles.The leading effect of green poles in midstream and downstream areas has changed from polarization to diffusion,while the polarization effect still leads in the upstream area.
文摘This paper analyzes the relationship between transportation infrastructure and total factor productivity (TFP)growth in China with the spatial econometrics of panel data.The results of the empirical study show that there is anobvious spatial autocorrelation among China’s interlocal TFP from 1997 to 2007.Transportation infrastructure hasa positive impact on TFP in China; the addition of railway and road infrastructure caused China’s TFP to increase11.075 percentage points from 2001-07, making up 59.10% of TFP’s amplification.Freeways and first-class roadinfrastructure’s positive impacts are more obvious; direct effects are only 25.7% while indirect effects are 74.3%.Railinfrastructure had persistent positive impacts on China’s TFP from 2001-07; freeway infrastructure had persistentpositive impacts on China’s TFP from 1997-2007, but other road infrastructure has not shown these persistent effects.
基金The National Natural Science Foundation of China(71871016,72394372)。
文摘The spatial spillover effect of energy insecurity on total factor productivity in the iron and steel industry,as well as the potential moderating role of industrial agglomeration,remains poorly understood.This study inves-tigated the spatial spillover effect of energy security on total factor productivity and the moderating role of industrial agglomeration in the relationship between energy security and total factor productivity in the iron and steel industry.Panel data from 24 provinces in China spanning the years 2010 to 2019 were used for this analysis.The research findings demonstrate a positive spatial spillover effect of energy security on total factor productivity,which displays a distinct pattern of attenuated spatial spillover effects.Moreover,evidence from quasi-natural experiments shows a negative spillover effect on total factor productivity when using the energy security-policy interaction term,high-lighting the significant impact of policy factors on total factor productivity.Threshold effect tests reveal a“strong-weak”V-shaped trend in the impact of energy security with the increase of industrial agglomeration levels.In addition,this study found an inverted U-shaped relationship between energy security and the impact of industrial agglomeration,suggesting that enhancing energy security contributes to the growth of total factor productivity in the iron and steel industry.The ultimate objective of this research is to provide valuable policy recommendations to the government for ensuring energy security and promoting the sustainable growth of total factor productivity in the iron and steel industry.
基金The National Natural Science Foundation of China(72302037,72402201)The Liaoning Provincial Board of Education’s Scientific Research Project of 2024 for Higher Education Institutions(LJ112410173011)。
文摘In advancing the high-quality development of the tourism industry,enhancing green total factor productivity in tourism(GTFPT)within the sector emerges as a critical strategy for mitigating vulnerabilities and a vital mechanism for strengthening tourism industry resilience.This study constructs analytical frameworks for both tourism industry resilience and GTFPT,and develops a dynamic spatial effect model to investigate the temporal and spatial influence mechanisms through which GTFPT promotes tourism resilience in China from 2012 to 2020.Thefindings reveal several key insights:(1)The resilience of China’s tourism industry follows a fluctuating upward trajectory,with marked regional disparities,particularly notable in the Southwest and Northwest regions,which benefit from latecomer growth advantages.(2)GTFPT in tourism significantly enhances industry resilience,with technological innovation and technology finance serving as positive moderating factors in this relationship.(3)GTFPT in tourism not only strengthens resilience at the local level but also generates substantial spatial spillover effects,benefitting neighboring provinces in both the short and long term,with the magnitude of these spillover effects surpassing direct impacts.These findings provide compelling evidence of the connection between green development and the sustainable,high-quality advancement of the tourism sector,offering valuable insights for boosting tourism resilience and fostering stronger regional spatial interactions.
