Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic growth.If explainable and available carbon emission data can be accurately obtained,it will hel...Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic growth.If explainable and available carbon emission data can be accurately obtained,it will help policy regulators and enterprise managers to more accurately implement this development strategy.A lot of research has been carried out,but it is still a difficult problem that how to accommodate and adapt the complex carbon emission data computing models and factor libraries developed by different regions,different industries and different enterprises.Meanwhile,with the rapid development of the Industrial Internet,it has not only been used for the supply chain optimization and intelligent scheduling of the manufacturing industry,but also been used by more and more industries as an important way of digital transformation.Especially in China,the Industrial Internet identification and resolution system is becoming an important digital infrastructure to uniquely identify objects and share data.Hence,a compatible carbon efficiency information service framework based on the Industrial Internet Identification is proposed in this paper to address the problem of computing and querying multi-source heterogeneous carbon emission data.We have defined a multi cooperation carbon emission data interaction model consisting of three roles and three basic operations.Further,the implementation of the framework includes carbon emission data identification,modeling,calculation,query and sharing.The practice results show that its capability and effectiveness in improving the responsiveness,accuracy,and credibility of compatible carbon efficiency data query and sharing services.展开更多
This paper uses an input-output table of China's provinces(2007-2016) to measure carbon emissions of these industries.It employs a Malmquist-Luenberger(ML) index with expected and undesired outputs,and an absolute...This paper uses an input-output table of China's provinces(2007-2016) to measure carbon emissions of these industries.It employs a Malmquist-Luenberger(ML) index with expected and undesired outputs,and an absolute β convergence and a conditional β convergence model,to conduct an in-depth analysis of dynamic changes and spatial convergence.Carbon emission efficiency of forest processing industries in 25 regions,including Shanghai,Chongqing,Zhejiang,and Jiangsu are increasing,whereas those of Tianjin,Liaoning,Heilongjiang,and Tibet are decreasing.The main contributing factors of carbon emission efficiency in three major regions vary over time.Further,carbon emission efficiency in the eastern,central,and western regions all have absolute β convergence and conditional β convergence,indicating that different regions are developing toward their own goals and industry,yet regions with lower efficiency are catching up with those where with more efficient strategies in place.Finally,this paper proposes according recommendations.展开更多
According to the logic process of carbon reduction in China which arises from the measurement to reduction,from reduction to offsetting,the measurement of carbon emission in the tourism industry was the first and key ...According to the logic process of carbon reduction in China which arises from the measurement to reduction,from reduction to offsetting,the measurement of carbon emission in the tourism industry was the first and key step.Based on the life cycle assessment theory and input-output analysis,this article used economic and environmental measurement technologies,The System of National Accounting(SNA),Tourism Satellite Account(TSA),System of Integrated Environment and Economic Accounting(SEEA),and so on,and built up a top-down carbon emission analysis framework for the tourism industry and estimated carbon emission of the tourism industry in China in 2007.The finding showed that the total carbon emission of the tourism industry in China in 2007 was 169.78 million tons,covering 2.71%of carbon emission of all industries in China in 2007,and 2.44%of the total carbon emission in China in 2007.The direct carbon emission of the tourism industry in China in 2007 was 73.56 million tons,including transportation(50.14 million tons),sightseeing(1.33 million tons),lodging(4.19 million tons),accommodation(4.73 million tons),shopping(8.14 million tons),entertainment(0.67 million tons),communication(0.45 million tons),and others(3.90 million tons).The indirect carbon emission of the tourism industry in China in 2007 was 96.23 million tons,mostly contributed by coking,gas,and petroleum processing industries,transportation and warehousing industry,machinery and equipment manufacturing industry,and food manufacturing and tobacco processing industry,which covered 57%.展开更多
基金supported by the 2018 Industrial Internet Innovation and Development Project——Industrial Internet Identification Resolution Sys⁃tem:National Top-Level Node Construction Project(Phase I).
文摘Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic growth.If explainable and available carbon emission data can be accurately obtained,it will help policy regulators and enterprise managers to more accurately implement this development strategy.A lot of research has been carried out,but it is still a difficult problem that how to accommodate and adapt the complex carbon emission data computing models and factor libraries developed by different regions,different industries and different enterprises.Meanwhile,with the rapid development of the Industrial Internet,it has not only been used for the supply chain optimization and intelligent scheduling of the manufacturing industry,but also been used by more and more industries as an important way of digital transformation.Especially in China,the Industrial Internet identification and resolution system is becoming an important digital infrastructure to uniquely identify objects and share data.Hence,a compatible carbon efficiency information service framework based on the Industrial Internet Identification is proposed in this paper to address the problem of computing and querying multi-source heterogeneous carbon emission data.We have defined a multi cooperation carbon emission data interaction model consisting of three roles and three basic operations.Further,the implementation of the framework includes carbon emission data identification,modeling,calculation,query and sharing.The practice results show that its capability and effectiveness in improving the responsiveness,accuracy,and credibility of compatible carbon efficiency data query and sharing services.
文摘This paper uses an input-output table of China's provinces(2007-2016) to measure carbon emissions of these industries.It employs a Malmquist-Luenberger(ML) index with expected and undesired outputs,and an absolute β convergence and a conditional β convergence model,to conduct an in-depth analysis of dynamic changes and spatial convergence.Carbon emission efficiency of forest processing industries in 25 regions,including Shanghai,Chongqing,Zhejiang,and Jiangsu are increasing,whereas those of Tianjin,Liaoning,Heilongjiang,and Tibet are decreasing.The main contributing factors of carbon emission efficiency in three major regions vary over time.Further,carbon emission efficiency in the eastern,central,and western regions all have absolute β convergence and conditional β convergence,indicating that different regions are developing toward their own goals and industry,yet regions with lower efficiency are catching up with those where with more efficient strategies in place.Finally,this paper proposes according recommendations.
基金funded by the Hunan Province Key Science and Technology Project[grant number 2013SK2012]the Hunan Province Education Fund Young Project[grant number13B146]+1 种基金the Hunan Planning Office of Philosophy and Social Science Fund[grant number 13JD25]the Hunan Province philosophy and Social Science Achievement Assessment Community Fund[grant number 2014JKB08032]
文摘According to the logic process of carbon reduction in China which arises from the measurement to reduction,from reduction to offsetting,the measurement of carbon emission in the tourism industry was the first and key step.Based on the life cycle assessment theory and input-output analysis,this article used economic and environmental measurement technologies,The System of National Accounting(SNA),Tourism Satellite Account(TSA),System of Integrated Environment and Economic Accounting(SEEA),and so on,and built up a top-down carbon emission analysis framework for the tourism industry and estimated carbon emission of the tourism industry in China in 2007.The finding showed that the total carbon emission of the tourism industry in China in 2007 was 169.78 million tons,covering 2.71%of carbon emission of all industries in China in 2007,and 2.44%of the total carbon emission in China in 2007.The direct carbon emission of the tourism industry in China in 2007 was 73.56 million tons,including transportation(50.14 million tons),sightseeing(1.33 million tons),lodging(4.19 million tons),accommodation(4.73 million tons),shopping(8.14 million tons),entertainment(0.67 million tons),communication(0.45 million tons),and others(3.90 million tons).The indirect carbon emission of the tourism industry in China in 2007 was 96.23 million tons,mostly contributed by coking,gas,and petroleum processing industries,transportation and warehousing industry,machinery and equipment manufacturing industry,and food manufacturing and tobacco processing industry,which covered 57%.
