Fine cost management is a systematic, refined, and dynamic management method. This paper provides us the background and meanings of fine cost management, it defines and analyzes the connotation of fine cost management...Fine cost management is a systematic, refined, and dynamic management method. This paper provides us the background and meanings of fine cost management, it defines and analyzes the connotation of fine cost management in detail.展开更多
By examining how China’s total factor productivity(TFP)evolved over time on the industry level,we can help determine where China should head for in a new era featured by a shift from old to new growth drivers and pro...By examining how China’s total factor productivity(TFP)evolved over time on the industry level,we can help determine where China should head for in a new era featured by a shift from old to new growth drivers and promote high-quality economic development.Based on consistent and comparable data of input and output,this paper measures total factor productivity on the industry level through growth accounting method and then estimate the overall productivity of the entire economy with aggregate production possibility frontier(APPF)and cross-industry direct aggregation.On this basis,China’s growth drivers are analyzed.Results show that from 1985 to 2015,capital input was the top contributor to China’s economic growth and TFP also played an important role.Up to 70 percent of the aggregate TFP growth could be attributed to increases in industrial TFP,while the remaining 30 percent came from improved cross-industrial resource allocation.展开更多
Introduction:One of the most striking features of urbanization is the replacement of the original natural land cover type by artificial impervious surface area(ISA).However,the extent of the contribution of various en...Introduction:One of the most striking features of urbanization is the replacement of the original natural land cover type by artificial impervious surface area(ISA).However,the extent of the contribution of various environmental factors,especially the growth of 3D space to ISA expansion,and the scope and mechanism of their influences in dramatically expanding cities,are yet to be determined.The boosted regression tree(BRT)model was adopted to analyze the main influencing factors and driving mechanisms of ISA change in Shenyang,China between 2010 and 2017.Outcomes:The nearly complete-coverage ISA(≥0.7)increased from 42%in 2010 to 47%in 2017.The percentage of landscape with a high ISA fraction increased,while the landscape evenness and diversity of ISA decreased.The BRT analysis revealed that elevation,regional population density,and landscape class had the largest influences on the change of urban ISA,contributing 22.55%,18.16%,and 11.18%to the model,respectively.Conclusion:Overall,topographic and socioeconomic factors had the greatest influence on urban ISA change in Shenyang,followed by land use type and building pattern indices.The trend of high aggregation was strong in large commercial and residential areas.The 3D expansion of the city had an influence on its areal expansion.展开更多
文摘Fine cost management is a systematic, refined, and dynamic management method. This paper provides us the background and meanings of fine cost management, it defines and analyzes the connotation of fine cost management in detail.
基金supported by the Youth Program of the National Social Science Fund of China(18CJL017)the National Statistics Research Program of National Bureau of Statistics(2019LZ20)+1 种基金the special fund from China Postdoctoral Science Foundation(2018T110079)the Tsinghua China Data Center’s China TFP Estimation and Prediction”program.
文摘By examining how China’s total factor productivity(TFP)evolved over time on the industry level,we can help determine where China should head for in a new era featured by a shift from old to new growth drivers and promote high-quality economic development.Based on consistent and comparable data of input and output,this paper measures total factor productivity on the industry level through growth accounting method and then estimate the overall productivity of the entire economy with aggregate production possibility frontier(APPF)and cross-industry direct aggregation.On this basis,China’s growth drivers are analyzed.Results show that from 1985 to 2015,capital input was the top contributor to China’s economic growth and TFP also played an important role.Up to 70 percent of the aggregate TFP growth could be attributed to increases in industrial TFP,while the remaining 30 percent came from improved cross-industrial resource allocation.
基金This study was supported by the China National R&D Program(No.2017YFC0505704)the National Natural Science Foundation of China(Nos.41871162 and 41871192)the Fundamental Research Funds for the Central Universities of China(No.N2011005)。
文摘Introduction:One of the most striking features of urbanization is the replacement of the original natural land cover type by artificial impervious surface area(ISA).However,the extent of the contribution of various environmental factors,especially the growth of 3D space to ISA expansion,and the scope and mechanism of their influences in dramatically expanding cities,are yet to be determined.The boosted regression tree(BRT)model was adopted to analyze the main influencing factors and driving mechanisms of ISA change in Shenyang,China between 2010 and 2017.Outcomes:The nearly complete-coverage ISA(≥0.7)increased from 42%in 2010 to 47%in 2017.The percentage of landscape with a high ISA fraction increased,while the landscape evenness and diversity of ISA decreased.The BRT analysis revealed that elevation,regional population density,and landscape class had the largest influences on the change of urban ISA,contributing 22.55%,18.16%,and 11.18%to the model,respectively.Conclusion:Overall,topographic and socioeconomic factors had the greatest influence on urban ISA change in Shenyang,followed by land use type and building pattern indices.The trend of high aggregation was strong in large commercial and residential areas.The 3D expansion of the city had an influence on its areal expansion.
