This paper studies the environmental effects of technical change using a spatial model with panel data from 284 prefecture-cities over 2004-2015 in China.We find that the effects of technical change vary across differ...This paper studies the environmental effects of technical change using a spatial model with panel data from 284 prefecture-cities over 2004-2015 in China.We find that the effects of technical change vary across different dimensions of technical change and different pollution indicators.Furthermore,we also provide robust evidence for the existence of the spatial effects of technical change on environmental pollution across cities.First,indigenous technical change displays three patterns of effects on the four pollutants:a positive effect on wastewater,a negative effect on PM_(2.5)concentrations,and an inverted U-shaped relationship with SO_(2)and soot emissions.The spatial effect of indigenous technical change promotes cleaner industrial productions(fewer emissions of SO_(2),soot and wastewater)but higher PM_(2.5)concentrations.Second,technology transfers from foreign direct investment are associated with less pollution except for wastewater,and their spatial effects are unanimously negative on all pollutants.Finally,absorptive capacity can also promote cleaner industrial production,but its spatial effects can do otherwise.Accordingly,the government should take the spatial spillover effects of technical change into account when implementing specific policies,pin down specific pollutants to make full use of the pollution-reducing effects of technical change,and improve the absorptive capacity of domestic firms.展开更多
Cities are increasingly vital in global carbon mitigation efforts,yet few have specifically tailored carbon neutrality pathways.Furthermore,out-of-boundary indirect greenhouse gas(GHG)emissions,aside from those relate...Cities are increasingly vital in global carbon mitigation efforts,yet few have specifically tailored carbon neutrality pathways.Furthermore,out-of-boundary indirect greenhouse gas(GHG)emissions,aside from those related to electricity and heat imports,are often overlooked in existing pathways,despite their significance in comprehensive carbon mitigation strategies.Addressing this gap,here we introduce an integrated analysis framework focusing on both production and consumption-related GHG emissions.Applied to Wuyishan,a service-oriented city in Southern China,this framework provides a holistic view of a city's carbon neutrality pathway,from a full-scope GHG emission perspective.The findings reveal the equal importance of carbon reduction within and outside the city's boundaries,with out-of-boundary emissions accounting for 42%of Wuyishan's present total GHG emissions.This insight highlights the necessity of including these external factors in GHG accounting and mitigation strategy development.This framework serves as a practical tool for cities,particularly in developing countries,to craft effective carbon neutrality roadmaps that encompass the full spectrum of GHG emissions.展开更多
Based on the regional water resources carrying capacity(WRCC)evaluation principles and evaluation index system in the National Technical Outline of Water Resources Carrying Capacity Monitoring and Early Warning(hereaf...Based on the regional water resources carrying capacity(WRCC)evaluation principles and evaluation index system in the National Technical Outline of Water Resources Carrying Capacity Monitoring and Early Warning(hereafter referred to as the Technical Outline),this paper elaborates on the collection and sorting of the basic data of water resources conditions,water resources development and utilization status,social and economic development in basins,analysis and examination of integrity,consistency,normativeness,and rationality of the basic data,and the necessity of WRCC evaluation.This paper also describes the technique of evaluating the WRCC in prefecture-level cities and city-level administrative divisions in the District of the Taihu Lake Basin,which is composed of the Taihu Lake Basin and the Southeastern River Basin.The evaluation process combines the binary index evaluation method and reduction index evaluation method.The former,recommended by the Technical Outline,uses the total water use and the amount of exploited groundwater as evaluation indices,showing stronger operability,while the latter is developed by simplifying and optimizing the comprehensive index system with greater systematicness and completeness.The mutual validation and adjustment of the results of the above-mentioned two evaluation methods indicate that the WRCC of the District of the Taihu Lake Basin is overloaded in general because some prefecture-level cities and city-level administrative divisions in the Taihu Lake Basin and the Southeastern River Basin are in a severely overloaded state.In order to explain this conclusion,this paper analyzes the causes of WRCC overloading from the aspects of basin water environment,water resources development and utilization,water resources regulation and control ability,water resources utilization efficiency,and water resources management.展开更多
With the rise of smart phones,mobile applications have been widely used in daily life.However,the relationship between individuals’mobile application usage and cities’economic development has yet to be investigated....With the rise of smart phones,mobile applications have been widely used in daily life.However,the relationship between individuals’mobile application usage and cities’economic development has yet to be investigated.To study this question,this work utilizes a dataset containing users’history of mobile application usage records(MAURs)and investigates how MAURs are related to Chinese cities’economic development.Our analysis shows the cities’GDP and number of MAURs are highly correlated,and at the individual level,people in wealthier cities(higher GDP per capita)tend to have more active mobile application usage(MAURs per capita).The results also demonstrate the relevance between cities’GDP and MAURs varies significantly among different demographic groups,with male users’relevance consistently higher than female users’and working-age people’s relevance higher than other age groups.A boosted tree regression model is then applied to predict cities’GDP with MAURs and proves to achieve high goodness-of-fit(over 0.8 R-square)and good prediction accuracy,especially for the economically developed and populous regions in China.To the best of our knowledge,this is the first time that the relationship between MAURs and cities’economic development is revealed,which contributes to novel knowledge discovery for regionalization and urban development.展开更多
基金This work was supported by Chinese Academy of Social Sciences Peak Strategy Project“the Advantageous Discipline(Industrial Economics)”and Major Projects of National Social Science Foundation of China“Research on Promoting New Industrialization and Optimization and Upgradong of Economic System”[Grant number.21ZD021].
文摘This paper studies the environmental effects of technical change using a spatial model with panel data from 284 prefecture-cities over 2004-2015 in China.We find that the effects of technical change vary across different dimensions of technical change and different pollution indicators.Furthermore,we also provide robust evidence for the existence of the spatial effects of technical change on environmental pollution across cities.First,indigenous technical change displays three patterns of effects on the four pollutants:a positive effect on wastewater,a negative effect on PM_(2.5)concentrations,and an inverted U-shaped relationship with SO_(2)and soot emissions.The spatial effect of indigenous technical change promotes cleaner industrial productions(fewer emissions of SO_(2),soot and wastewater)but higher PM_(2.5)concentrations.Second,technology transfers from foreign direct investment are associated with less pollution except for wastewater,and their spatial effects are unanimously negative on all pollutants.Finally,absorptive capacity can also promote cleaner industrial production,but its spatial effects can do otherwise.Accordingly,the government should take the spatial spillover effects of technical change into account when implementing specific policies,pin down specific pollutants to make full use of the pollution-reducing effects of technical change,and improve the absorptive capacity of domestic firms.
基金supported by the National Natural Science Foundation of China:An emission scenario-air quality modelbased study on the evaluation of“Dual Attainments”of Chinese city(Grant No.72074154)Research on the optimization of synergistic regional pathways under carbon emission peak and carbon neutrality goals(Grant No.72140004)Research on pathway optimization and implementation mechanism of synergistic control of GHGs and pollution for key regions(Grant No.72243008).
文摘Cities are increasingly vital in global carbon mitigation efforts,yet few have specifically tailored carbon neutrality pathways.Furthermore,out-of-boundary indirect greenhouse gas(GHG)emissions,aside from those related to electricity and heat imports,are often overlooked in existing pathways,despite their significance in comprehensive carbon mitigation strategies.Addressing this gap,here we introduce an integrated analysis framework focusing on both production and consumption-related GHG emissions.Applied to Wuyishan,a service-oriented city in Southern China,this framework provides a holistic view of a city's carbon neutrality pathway,from a full-scope GHG emission perspective.The findings reveal the equal importance of carbon reduction within and outside the city's boundaries,with out-of-boundary emissions accounting for 42%of Wuyishan's present total GHG emissions.This insight highlights the necessity of including these external factors in GHG accounting and mitigation strategy development.This framework serves as a practical tool for cities,particularly in developing countries,to craft effective carbon neutrality roadmaps that encompass the full spectrum of GHG emissions.
基金supported by the National Natural Science Foundation of China(Grant No.51379181)Phase Ⅲ Project(2018-2021)of the Priority Academic Program Development of Jiangsu Higher Education Institutions
文摘Based on the regional water resources carrying capacity(WRCC)evaluation principles and evaluation index system in the National Technical Outline of Water Resources Carrying Capacity Monitoring and Early Warning(hereafter referred to as the Technical Outline),this paper elaborates on the collection and sorting of the basic data of water resources conditions,water resources development and utilization status,social and economic development in basins,analysis and examination of integrity,consistency,normativeness,and rationality of the basic data,and the necessity of WRCC evaluation.This paper also describes the technique of evaluating the WRCC in prefecture-level cities and city-level administrative divisions in the District of the Taihu Lake Basin,which is composed of the Taihu Lake Basin and the Southeastern River Basin.The evaluation process combines the binary index evaluation method and reduction index evaluation method.The former,recommended by the Technical Outline,uses the total water use and the amount of exploited groundwater as evaluation indices,showing stronger operability,while the latter is developed by simplifying and optimizing the comprehensive index system with greater systematicness and completeness.The mutual validation and adjustment of the results of the above-mentioned two evaluation methods indicate that the WRCC of the District of the Taihu Lake Basin is overloaded in general because some prefecture-level cities and city-level administrative divisions in the Taihu Lake Basin and the Southeastern River Basin are in a severely overloaded state.In order to explain this conclusion,this paper analyzes the causes of WRCC overloading from the aspects of basin water environment,water resources development and utilization,water resources regulation and control ability,water resources utilization efficiency,and water resources management.
基金Wuhan University State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing,No.21S02。
文摘With the rise of smart phones,mobile applications have been widely used in daily life.However,the relationship between individuals’mobile application usage and cities’economic development has yet to be investigated.To study this question,this work utilizes a dataset containing users’history of mobile application usage records(MAURs)and investigates how MAURs are related to Chinese cities’economic development.Our analysis shows the cities’GDP and number of MAURs are highly correlated,and at the individual level,people in wealthier cities(higher GDP per capita)tend to have more active mobile application usage(MAURs per capita).The results also demonstrate the relevance between cities’GDP and MAURs varies significantly among different demographic groups,with male users’relevance consistently higher than female users’and working-age people’s relevance higher than other age groups.A boosted tree regression model is then applied to predict cities’GDP with MAURs and proves to achieve high goodness-of-fit(over 0.8 R-square)and good prediction accuracy,especially for the economically developed and populous regions in China.To the best of our knowledge,this is the first time that the relationship between MAURs and cities’economic development is revealed,which contributes to novel knowledge discovery for regionalization and urban development.