Carbon emission is the current hot issue of global concern. How to assess various contributing factors for carbon emission is of great importance to find out the key factors and promote carbon emission reduction. In t...Carbon emission is the current hot issue of global concern. How to assess various contributing factors for carbon emission is of great importance to find out the key factors and promote carbon emission reduction. In this paper, the author constructs an identical equation for carbon emission, based on the economic aggregate, the economic structure, the efficiency of energy utilization, the structure of energy consumption, and the coefficient of carbon emission; by applying to LMDI decomposition technology, the author analyzes the carbon emission of China from 1995 to 2007 at industrial level and regional level. The results show that the expansion of economic aggregate is the main reason for China' s rapidly increasing carbon emission and the increase of energy utilization efficiency is the key factor that can hold back the increase of carbon emission. In addition, the change of industrial structure or regional structure and the change of traditional energy structure have limited influence on the carbon emission, and their potentials have not yet been exploited. At the end of this paper, the author proposes the efforts that China should make to reduce carbon emission.展开更多
This article described the changes in consumption of finished petroleum products in China since 2008, referring to the international economic environment that has reversed the consumption of finished oil products, and...This article described the changes in consumption of finished petroleum products in China since 2008, referring to the international economic environment that has reversed the consumption of finished oil products, and China's domestic economic situation and oil pricing policy and major factors related with changes in industrial sectors. This article, by making projections on future market trends, has estimated that in the foreseeable future the domestic finished oil products market will be glutted with oil products that will exceed the demand.展开更多
In this paper, the author uses super-efficiency DEA model to measure the national and regional energy efficiency in China; using spatial econometric model and from the perspective of geo-spatial spillover, the author ...In this paper, the author uses super-efficiency DEA model to measure the national and regional energy efficiency in China; using spatial econometric model and from the perspective of geo-spatial spillover, the author interprets the spatial characteristies of energy efficiency and extracts the main factors that influ- ence the regional energy efficiency. The analysis results show that: (1) the national and regional energy efficiency is consistent with inverted U-shaped curve, and the nationwide energy efficiency gap is increasing; (2) energy efficiency has the obvious effect of the spatial external effect, and when the government makes energy saving strategies, inter-regional energy cooperation and the prolif- eration of advanced production technology should be given more priority; (3) energy efficiency has significant negative correlation with government intervention, industrial structure, ownership structure, the energy consumption structure, and resource endowments, and has positive correlation with the degree of opening-up and energy price.展开更多
Here we utilize input-output tables for 2005 and 2010 to calculate the change in carbon dioxide emission intensity. Results show that total carbon dioxide emissions were 6.79 and 9.30 billion tons, and carbon dioxide ...Here we utilize input-output tables for 2005 and 2010 to calculate the change in carbon dioxide emission intensity. Results show that total carbon dioxide emissions were 6.79 and 9.30 billion tons, and carbon dioxide emission intensity was 0.37 and 0.33 ton per thousand CNY in 2005 and 2010, respectively. Carbon dioxide emission intensity declined 11% over these five years. We used structural decomposition analysis modeling to measure the effect of four factors on this reduction in intensity. We found that the contribution values of energy structure, energy efficiency, economic growth mode and economic structure were -0.001, -0.102, 0.050, and 0.013 ton per thousand CNY, respectively. Changes in energy efficiency and energy structure are major factors promoting decreases in carbon dioxide emission intensity; the effect of the former is more distinct than the latter. Economic growth mode and economic structure are major factors that increase carbon dioxide emission intensity, whereby the effect of the former is more distinct than the latter.展开更多
文摘Carbon emission is the current hot issue of global concern. How to assess various contributing factors for carbon emission is of great importance to find out the key factors and promote carbon emission reduction. In this paper, the author constructs an identical equation for carbon emission, based on the economic aggregate, the economic structure, the efficiency of energy utilization, the structure of energy consumption, and the coefficient of carbon emission; by applying to LMDI decomposition technology, the author analyzes the carbon emission of China from 1995 to 2007 at industrial level and regional level. The results show that the expansion of economic aggregate is the main reason for China' s rapidly increasing carbon emission and the increase of energy utilization efficiency is the key factor that can hold back the increase of carbon emission. In addition, the change of industrial structure or regional structure and the change of traditional energy structure have limited influence on the carbon emission, and their potentials have not yet been exploited. At the end of this paper, the author proposes the efforts that China should make to reduce carbon emission.
文摘This article described the changes in consumption of finished petroleum products in China since 2008, referring to the international economic environment that has reversed the consumption of finished oil products, and China's domestic economic situation and oil pricing policy and major factors related with changes in industrial sectors. This article, by making projections on future market trends, has estimated that in the foreseeable future the domestic finished oil products market will be glutted with oil products that will exceed the demand.
基金Interim research result of 2009 Planned Projectof Social Sciences of Fujian Province (Grant No.:2009B062)
文摘In this paper, the author uses super-efficiency DEA model to measure the national and regional energy efficiency in China; using spatial econometric model and from the perspective of geo-spatial spillover, the author interprets the spatial characteristies of energy efficiency and extracts the main factors that influ- ence the regional energy efficiency. The analysis results show that: (1) the national and regional energy efficiency is consistent with inverted U-shaped curve, and the nationwide energy efficiency gap is increasing; (2) energy efficiency has the obvious effect of the spatial external effect, and when the government makes energy saving strategies, inter-regional energy cooperation and the prolif- eration of advanced production technology should be given more priority; (3) energy efficiency has significant negative correlation with government intervention, industrial structure, ownership structure, the energy consumption structure, and resource endowments, and has positive correlation with the degree of opening-up and energy price.
基金National Natural Science Fund of China(No.71103012)Humanities and Social Science Project of Beijing University of Technology(No.X5104001201201)
文摘Here we utilize input-output tables for 2005 and 2010 to calculate the change in carbon dioxide emission intensity. Results show that total carbon dioxide emissions were 6.79 and 9.30 billion tons, and carbon dioxide emission intensity was 0.37 and 0.33 ton per thousand CNY in 2005 and 2010, respectively. Carbon dioxide emission intensity declined 11% over these five years. We used structural decomposition analysis modeling to measure the effect of four factors on this reduction in intensity. We found that the contribution values of energy structure, energy efficiency, economic growth mode and economic structure were -0.001, -0.102, 0.050, and 0.013 ton per thousand CNY, respectively. Changes in energy efficiency and energy structure are major factors promoting decreases in carbon dioxide emission intensity; the effect of the former is more distinct than the latter. Economic growth mode and economic structure are major factors that increase carbon dioxide emission intensity, whereby the effect of the former is more distinct than the latter.