Study on the Relationship between Energy Consumption, Carbon Emission and Economic Growth in China

2013 ◽  
Vol 869-870 ◽  
pp. 746-749
Author(s):  
Tian Tian Jin ◽  
Jin Suo Zhang

Abstract. Based on ARDL model, this paper discussed the relationship of energy consumption, carbon emission and economic growth.The results indicated that the key to reduce carbon emissions lies in reducing energy consumption, optimizing energy structure.

2014 ◽  
Vol 1010-1012 ◽  
pp. 2072-2079 ◽  
Author(s):  
Li Hui Liu ◽  
Huan Ping Xin

Guangdong province, as a large energy consumption province as well as a large economic province in China, is facing more and more severe pressure from reducing carbon emission. Reducing agricultural carbon emissions and developing agricultural carbon storage and carbon sequestration, will result in a brilliant future for Guangdong agriculture. In this paper, agricultural carbon emissions of Guangdong during 1991-2012 are quantitatively analyzed to discover its variation characteristics. An evident evolution law between Guangdong economic growth and agricultural carbon emissions is revealed. The evolution law showed "N" shaped curve rather than the typical inverted "U" shaped curve of EKC, and there is no indication when the inflection point will appear, which indicates that agricultural carbon pollution will be more serious with economic growth in Guangdong. Finally, some corresponding suggestions on the policy are put forward to reduce carbon emissions.


2021 ◽  
Author(s):  
Lei Jin ◽  
Yuan-hua Chang ◽  
Meng Wang ◽  
Xin-zhu Zheng ◽  
Jian-xun Yang ◽  
...  

Abstract Previous studies have done more research on the relationship between carbon emission reduction, energy consumption and economic growth in specific countries or regions, which rarely consider the issue of heterogeneity between countries or regions, and also lack the refinement of energy consumption categories. Using panel data from 2000 to 2017,this paper divided the top 28 global carbon emission countries into developed countries and developing countries, and explores cointegration and causality between renewable energy consumption,non-renewable energy consumption, economic growth and carbon emission. Results suggested that there is a two-way causal relationship between carbon emissions and economic growth in all economies. There is a two-way causal relationshipbetween economic growth in developed countries and consumption of renewable and non-renewable energy, while there is no significant relationship between economic growth and energy consumption in developing countries. There is a two-way causal relationship between carbon emissions and renewable energyin all economies, but there are significant differences; there is a two-way causal relationship between carbon emissions in developed countries and non-renewable energy, and only one-way causality exists in developing countries.


2012 ◽  
Vol 524-527 ◽  
pp. 2474-2481
Author(s):  
Zhi Gang Huang ◽  
Jiao Ling Xie ◽  
Wen Ping Wu

Carbon emissions permits has its own particularity,and with the development of carbon finance,carbon emissions permits possess the commodity attributes and financial attributes.So its price isn’t determined only by the relationship of commodity supply and demand,but also affected by a variety of factors.But because the transaction data is not available,so the pricing of the carbon emissions permits can not really consider from the angle of the influencing factors of price.Therefore, this paper is on the basis of previous studies using mathematical tools and introducing the option pricing mechanism to study th pricing of China's carbon emissions permits basing on carbon emissions,which is designed for providing reference on the pricing of China's carbon emissions,being of both theoretical and practical significance.


2014 ◽  
Vol 522-524 ◽  
pp. 176-180
Author(s):  
Jian Xu ◽  
Wei Zhang ◽  
Jin Suo Zhang

Using the calculation methodology based on energy consumption, the amount of carbon emissions due to energy consumption in Shaanxi province were calculated from 2000 to 2010. The decreasing trends in carbon emission were analyzed in terms of energy structure, economic growth and industry structure. The increasing of carbon oxide emission of energy consumption of Shaanxi province was mainly drove by economic increasing. The carbon emission of the Secondary industry is the biggest one in energy consumption which is 60% in the gross carbon emission, then, the Tertiary industry is 20% of the gross carbon emission.


2013 ◽  
Vol 869-870 ◽  
pp. 1056-1062
Author(s):  
Xue Qin Wang ◽  
Cheng Xin Wang ◽  
Yun Wei Du ◽  
Jia Lu Shi

This essay tends to probe into the decoupling relationship between economic growth and carbon emissions through structuring the decoupling analysis model. The results show that: In recent years, the decoupling relationship between economic growth and carbon emissions in Anhui province has improved. Through the research about some intermediate variables, we find that the change trend of energy consumption elastic elasticity of carbon emissions and the one of GDP elastic elasticity of carbon emissions are basically the same. Meanwhile, Anhui province is relatively backward in the energy-saving and emission reduction process, carbon emissions growth and energy consumption growth did not achieve effective decoupling, which reflects that this province still has some defects in the adjustment of energy structure, energy saving and emission reduction technology promotion policy etc.


2020 ◽  
pp. 713-727
Author(s):  
Xiaohui Wang, Xin Zhang

The study on the relationship between investment in environmental governance, carbon emission and economic growth is helpful for the relevant government departments to coordinate the influence among them when formulating the policies of reducing emission and conserving energy, so as to take the comparative advantages of various factors and promote the benign interaction between economic development and environmental governance. In this paper, the data of Per capita GDP, per capita investment in environmental governance and per capita CARBON dioxide emissions in China from 2000 to 2019 are selected as the research basis, and variables are studied by means of Granger causality and impulse response function. As shown in the results, there is a single Granger relationship between investment in environmental governance and carbon emissions, that is, the increase of investment in environmental governance leads to the reduction of carbon emissions. The influence of economic growth on environmental governance investment is small, but in the long term, it can restrain the growth of carbon emissions. Investment in environmental governance can promote economic growth and stimulate a reduction in the emissions in the short term; Economic growth was hindered by the emissions in the long term and fail to stimulate increased investment in environmental governance. Based on these findings, this paper proposes policy Suggestions for optimizing the structure of environmental governance investment, improving the carbon emission monitoring and response mechanism, and strengthening the technological level of energy conservation and emission reduction.


2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jing-min Wang ◽  
Yu-fang Shi ◽  
Xue Zhao ◽  
Xue-ting Zhang

Beijing-Tianjin-Hebei is a typical developed region in China. The development of economy has brought lots of carbon emissions. To explore an effective way to reduce carbon emissions, we applied the Logarithmic Mean Divisia Index (LMDI) model to find drivers behind carbon emission from 2003 to 2013. Results showed that, in Beijing, Tianjin, and Hebei, economic output was main contributor to carbon emissions. Then we utilized the decoupling model to comprehensively analyze the relationship between economic output and carbon emission. Based on the two-level model, results indicated the following: (1) Industry sector accounted for almost 80% of energy consumption in whole region. The reduced proportion of industrial GDP will directly reduce the carbon emissions. (2) The carbon factor for CO2/energy in whole region was higher than that of Beijing and Tianjin but lower than that of Hebei. The impact of energy structure on carbon emission depends largely on the proportion of coal in industry. (3) The energy intensity in whole region decreased from 0.79 in 2003 to 0.40 in 2013 (unit: tons of standard coal/ten thousand yuan), which was lower than national average. (4) The cumulative effects of industrial structure, energy structure, and energy intensity were negative, positive, and negative, respectively.


2013 ◽  
Vol 448-453 ◽  
pp. 4281-4284 ◽  
Author(s):  
Shao Bo Liu

Using IPCC methodology, the carbon emissions of Chinese Northeast Old Industrial Base is calculated, and the energy's synthesized impact on carbon emissions intensity is presented. The resulting shows that the carbon emissions in the three northeast provinces decreased 52.87% from 2000 to 2010, of which, Liaoning, Jilin and Heilongjiang are individually 60.09%, 45.47% and 54.14% lower. The implications are that the energy structure is one of the main factors in carbon emission in the Old Industrial Base of Northeast China, and its industrial structure is changing greatly due to energy consumption carbon emission. To adjust optimally the energy and industrial structure, and to develop the energy technology to promote energy utilization are recommended.


2012 ◽  
Vol 12 (14) ◽  
pp. 6197-6206 ◽  
Author(s):  
H. Wang ◽  
R. Zhang ◽  
M. Liu ◽  
J. Bi

Abstract. As increasing urbanization has become a national policy priority for economic growth in China, cities have become important players in efforts to reduce carbon emissions. However, their efforts have been hampered by the lack of specific and comparable carbon emission inventories. Comprehensive carbon emission inventories for twelve Chinese cities, which present both a relatively current snapshot and also show how emissions have changed over the past several years, were developed using a bottom-up approach. Carbon emissions in most Chinese cities rose along with economic growth from 2004 to 2008. Yet per capita carbon emissions varied between the highest and lowest emitting cities by a factor of nearly 7. Average contributions of sectors to per capita emissions for all Chinese cities were 65.1% for industrial energy consumption, 10.1% for industrial processes, 10.4% for transportation, 7.7% for household energy consumption, 4.2% for commercial energy consumption and 2.5% for waste processing. However, these shares are characterized by considerable variability due to city-specific factors. The levels of per capita carbon emissions in China's cities were higher than we anticipated before comparing them with the average of ten cities in other parts of the world. This is mainly due to the major contribution of the industry sector in Chinese cities.


2022 ◽  
pp. 200-215
Author(s):  
Nurcan Kilinc-Ata

The presented study analyzes the asymmetry effect of research and development (R&D) expenditures, population growth, energy consumption, and economic growth on carbon emissions in the sample of Turkey for the period 1990-2020. Nonlinear ARDL is used to control the asymmetry of the variables. Linear ARDL is used to control the long-term and short-term relationships between the variables. The findings show that there is a symmetrical or linear relationship between the variables of R&D expenditures, population growth, energy consumption, economic growth, and carbon emissions. The findings display that economic growth and R&D are effective in reducing carbon emissions, while energy consumption seems to increase carbon emissions. Interestingly, the population was found to be effective in reducing carbon emissions in the study. In order for Turkey to reach its 2050 target, it is necessary to give priority to environmental regulations and policies.


Sign in / Sign up

Export Citation Format

Share Document