On account of the background of China's "new normal" characterized by slower economic growth, this paper analyses the low-carbon economy status quo in the Beijing-Tianjin-Hebei region and empirically inv...On account of the background of China's "new normal" characterized by slower economic growth, this paper analyses the low-carbon economy status quo in the Beijing-Tianjin-Hebei region and empirically investigates the relationship between carbon dioxide(CO_2) emissions and its various factors for China's Beijing-Tianjin-Hebei region using panel data econometric technique. We find evidence of existence of Environmental Kuznets Curve. Results also show that economic scale, industrial structure, and urbanization rate are crucial factors to promote CO_2emissions. However, technological progress, especially the domestic independent research and development, plays a key role in C0_2 emissions abatement. Next, we further analyze the correlation between each subregion and various factors according to Grey Relation Analysis. Thereby,our findings provide important implications for policymakers in air pollution control and C0_2 emissions reduction for this region.展开更多
This paper provides a computation on both the China's aggregate CO2 emission volume and the emission of each sector over the period of 2002-2007, based on the input-output analysis. Further analysis is also given on ...This paper provides a computation on both the China's aggregate CO2 emission volume and the emission of each sector over the period of 2002-2007, based on the input-output analysis. Further analysis is also given on the various determinants of the change in the emission volume, with the aid of structural decomposition analysis (SDA) based on a residual-free method. Based on the input-output table of China in 2002 and 2007, the merge of sectors and the adjustment of price change have been made during the study. The emissions of carbon dioxide in China increased from 2,887.3 million ton to 5,664.6 million ton during 2002-2007. The average rate of increase is 13.3%, faster than the average rate of gross domestic product (GDP) growth 11.6% slightly. According to the process of SDA, the changes in emission are analyzed in terms of four different factors. Among the four factors studied in the paper, it is found that the change of emission intensity and structure of demand are the main reason of the decrease of emission, while production technology and scale effect increase the emission volume. The paper also finds that although the direct emission intensity decreased during the study period, the total emission intensity increased with the annual rate of 3.8%, which reflects the result of energy policy is not equal in different sectors.展开更多
In this paper,the quadratic polynomial and cubic polynomial functions were applied to analyze the environmental Kuznets curve(EKC)of carbon emissions in Hebei Province.The improved STIRPAT model was also applied to as...In this paper,the quadratic polynomial and cubic polynomial functions were applied to analyze the environmental Kuznets curve(EKC)of carbon emissions in Hebei Province.The improved STIRPAT model was also applied to assess the driving factors and reduction paths for carbon emissions in Hebei Province.The results lead to three main conclusions.Firstly,carbon emissions and economic growth in Hebei Province are in a positive correlation stage which has not formed the EKC curve,and the“decoupling”stage between carbon emissions and economic growth has not arrived yet.Secondly,the industrial structure,per capita GDP,fixed assets investment,population size and urbanization rate account for the highest proportion of carbon emissions.Carbon emissions can be reduced greatly by changing the energy structure,in which the proportion of coal is decreased year by year.Environmental regulation also has an obvious effect on the reduction of carbon emissions.Thirdly,it is suggested that the reduction of carbon emissions in Hebei Province should focus on four tasks:controlling the development of heavy industry,avoiding overcapacity,optimizing the industrial structure and accelerating the development of clean energy.展开更多
基金supported by National Social Science Foundation Project of China-A study on the Long-term Mechanism and Policy of Promoting the Construction of Ecological Civilization with Green Technological Innovation in China:[Grant Number 14AJL017]
文摘On account of the background of China's "new normal" characterized by slower economic growth, this paper analyses the low-carbon economy status quo in the Beijing-Tianjin-Hebei region and empirically investigates the relationship between carbon dioxide(CO_2) emissions and its various factors for China's Beijing-Tianjin-Hebei region using panel data econometric technique. We find evidence of existence of Environmental Kuznets Curve. Results also show that economic scale, industrial structure, and urbanization rate are crucial factors to promote CO_2emissions. However, technological progress, especially the domestic independent research and development, plays a key role in C0_2 emissions abatement. Next, we further analyze the correlation between each subregion and various factors according to Grey Relation Analysis. Thereby,our findings provide important implications for policymakers in air pollution control and C0_2 emissions reduction for this region.
文摘This paper provides a computation on both the China's aggregate CO2 emission volume and the emission of each sector over the period of 2002-2007, based on the input-output analysis. Further analysis is also given on the various determinants of the change in the emission volume, with the aid of structural decomposition analysis (SDA) based on a residual-free method. Based on the input-output table of China in 2002 and 2007, the merge of sectors and the adjustment of price change have been made during the study. The emissions of carbon dioxide in China increased from 2,887.3 million ton to 5,664.6 million ton during 2002-2007. The average rate of increase is 13.3%, faster than the average rate of gross domestic product (GDP) growth 11.6% slightly. According to the process of SDA, the changes in emission are analyzed in terms of four different factors. Among the four factors studied in the paper, it is found that the change of emission intensity and structure of demand are the main reason of the decrease of emission, while production technology and scale effect increase the emission volume. The paper also finds that although the direct emission intensity decreased during the study period, the total emission intensity increased with the annual rate of 3.8%, which reflects the result of energy policy is not equal in different sectors.
基金The National Natural Science Foundation of China(71991481,71991484,41971163)The Humanities and Social Science Research Project of Hebei Education Department(SQ2021081)The National key research and development program(2016YFA0602800)。
文摘In this paper,the quadratic polynomial and cubic polynomial functions were applied to analyze the environmental Kuznets curve(EKC)of carbon emissions in Hebei Province.The improved STIRPAT model was also applied to assess the driving factors and reduction paths for carbon emissions in Hebei Province.The results lead to three main conclusions.Firstly,carbon emissions and economic growth in Hebei Province are in a positive correlation stage which has not formed the EKC curve,and the“decoupling”stage between carbon emissions and economic growth has not arrived yet.Secondly,the industrial structure,per capita GDP,fixed assets investment,population size and urbanization rate account for the highest proportion of carbon emissions.Carbon emissions can be reduced greatly by changing the energy structure,in which the proportion of coal is decreased year by year.Environmental regulation also has an obvious effect on the reduction of carbon emissions.Thirdly,it is suggested that the reduction of carbon emissions in Hebei Province should focus on four tasks:controlling the development of heavy industry,avoiding overcapacity,optimizing the industrial structure and accelerating the development of clean energy.