Regional Economic Growth and Carbon Emissions - A Case Study of Anhui Province

2013 ◽  
Vol 869-870 ◽  
pp. 1056-1062
Author(s):  
Xue Qin Wang ◽  
Cheng Xin Wang ◽  
Yun Wei Du ◽  
Jia Lu Shi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Energy Saving ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Reduction Process ◽  
Anhui Province ◽  
Energy Structure ◽  
Analysis Model ◽  
Promotion Policy

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.

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
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Structure ◽  
Ardl Model ◽  
Relationship Of ◽  
The Relationship ◽  
Reducing Energy

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.

scholarly journals How to Set the Proper CO2 Reduction Targets for the Provincial Building Sector of China?

2020 ◽  
Vol 12 (24) ◽  
pp. 10432
Author(s):  
Qingwei Shi ◽  
Hong Ren ◽  
Weiguang Cai ◽  
Jingxin Gao
Keyword(s):  
Energy Saving ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
National Level ◽  
Clean Energy ◽  
Energy Structure ◽  
Building Sector ◽  
Emission Abatement

The improvement of the energy and carbon emission efficiency of activities in the building sector is the key to China’s realization of the Paris Agreement. We can explore effective emission abatement approaches for the building sector by evaluating the carbon emissions and energy efficiency of construction activities, measuring the emission abatement potential of construction activities across the country and regions, and measuring the marginal abatement cost (MAC) of China and various regions. This study calculates the energy and carbon emissions performance of the building sector of 30 provinces and regions in China from 2005 to 2015, measures the dynamic changes in the energy-saving potential and carbon emission performance of the building sector, conducts relevant verification, and estimates the MAC of the building sector by using the slacks-based measure-directional distance function. The level of energy consumption per unit of the building sector of China has been decreasing yearly, but the energy structure has changed minimally (considering that clean energy is used). The total factor technical efficiency of the building sector of various provinces, cities, and regions is generally low, as verified in the evaluation of the energy-saving and emission abatement potential of the building sector of China. The energy saving and emission abatement of the building sector of China have great potential—that is, in approximately 50% of the total emissions of the building sector of China. In particular, Northeast and North China account for more than 50% of the total energy-saving and emission abatement potential. The study of the CO2 emissions and MAC of the building sector indicates that the larger the CO2 emissions are, the smaller MAC will be. The emission abatement efficiency is proportional to MAC. Based on this research, it can be more equitable and effective in formulating provincial emission reduction policy targets at the national level, and can maximize the contribution of the building sector of various provinces to the national carbon emission reduction.

Analysis of the Carbon Emissions Characteristics of Energy Consumption in Beijing between 1992-2011

2014 ◽  
Vol 962-965 ◽  
pp. 1587-1590
Author(s):  
Jing Ping Luo ◽  
Jian Feng Zhao
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Greenhouse Gases ◽  
Energy Saving ◽  
Carbon Emissions ◽  
High Speed ◽  
Carbon Recycling ◽  
Energy Saving Technology ◽  
Reduce Emissions

There is a long way to reduce emissions with the high speed of urbanization and economic growth in Beijing. In this article, depend on the IPCC country listing guidelines of greenhouse gases, carbon emissions has been calculated of Beijing beteeen1992-2011, then analysis of its historical characteristics . Beijing should seize the opportunity to research and carry out carbon recycling and energy saving technology in a planned and staged way.

Study on Energy Saving and Emission Reduction Using Data Envelopment Analysis Model

2012 ◽  
Vol 524-527 ◽  
pp. 2437-2441
Author(s):  
Lei Chen ◽  
Hao Qiang Pang ◽  
Tian Yuan Liu ◽  
Guang Mu Zhu ◽  
Wen Quan Tao
Keyword(s):  
Energy Consumption ◽  
Data Envelopment Analysis ◽  
Energy Saving ◽  
Emission Reduction ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Weight Method ◽  
Emission Reduction Target ◽  
Using Data

In the paper, on the basis of the comprehensive weight method, the total energy saving and emission reduction target is distributed to every region. Then the DEA model is adopted to evaluate the actual effect of the energy consumption and the emission reduction. Finally, the optimal scheme is put forward. Taking China as example to compare the efficiency of the program A, B and the program C, we get that program B is more suitable for China, and in more developed economical region, the task of energy saving and emission reduction is done better.

scholarly journals Dynamic relationship between urban carbon dioxide emissions and economic growth

2020 ◽  
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Granger Causality ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Dioxide Emission ◽  
Dynamic Relationship

<p>Urban economic development cannot be separated from energy consumption, and energy consumption directly leads to a large number of carbon emissions. It is of great significance to study the relationship between carbon dioxide emissions and economic growth for the implementation of energy conservation, emission reduction and the development of low-carbon economy in cities. A new method of dynamic relationship between urban carbon dioxide emission and economic growth is put forward. The carbon dioxide emission data in cities are calculated by using urban carbon dioxide emission measurement method. The data of economic attributes are obtained by using classification algorithm under uncertain data flow environment. Based on this data, a decoupling model of carbon emission and economic growth is constructed to measure economic growth elasticity of urban carbon emissions; Granger causality test model is established to analyze the Granger causality between urban carbon dioxide emissions and economic growth. The experimental results show that the growth rate of urban economy is obviously faster than that of carbon emissions. Economic growth is the Granger causality of carbon dioxide emissions. On the contrary, the implementation of carbon emission reduction measures will not hinder economic growth.</p>

scholarly journals The impact of socio-economic institutional change on agricultural carbon dioxide emission reduction in China

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251816
Author(s):  
Deng Jie Long ◽  
Li Tang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Dioxide Emissions ◽  
Emission Reduction ◽  
Carbon Dioxide Emission ◽  
Carbon Sources ◽  
Diesel Oil ◽  
The Impact

With the change of social economic system and the rapid growth of agricultural economy in China, the amount of agricultural energy consumption and carbon dioxide emissions has increased dramatically. Based on the estimation of agricultural carbon dioxide emissions from 1991 to 2018 in China, this paper uses EKC model to analyze economic growth and agricultural carbon dioxide emissions. The Kaya method is used to decompose the factors affecting agricultural carbon dioxide emissions. The experimental results show that there is a co-integration relationship between economic growth and the total intensity of agricultural carbon emissions, and between economic growth and the intensity of carbon emissions caused by five types of carbon sources: fertilizer, pesticide, agricultural film, agricultural diesel oil and tillage. Economic growth is the main driving factor of agricultural carbon dioxide emissions. In addition, technological progress has a strong role in promoting carbon emission reduction, but it has a certain randomness. However, the impact of energy consumption structure and population size on carbon emissions is not obvious.

Differences on the Relationship between Energy Consumption and Economic Growth in Developed Countries and Newly Industrialized Countries

2012 ◽  
Vol 524-527 ◽  
pp. 2415-2419 ◽  
Author(s):  
Jie Zhang ◽  
Yu Tian Qin ◽  
Zhi Yuan Zhang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Energy Saving ◽  
Causal Relationship ◽  
Emission Reduction ◽  
Developed Countries ◽  
Oecd Countries ◽  
Industrialized Countries ◽  
Phase Step ◽  
Newly Industrialized Countries

Based on the statistics of the energy consumption and economic growth of the OECD countries and BRICs from the year 1986 to the year 2009, this paper applied Panel Data Econometrics Method to process and analyze those statistics and found that(1) in the long term, the energy consumption and economic growth of OECD countries and BRICs don’t maintain a long-standing equilibrium relationship.(2) in the short term, OECD countries have a one-direction causal relationship from their economic growth to energy consumption while the BRICs have just the opposite, a one-direction of causal relationship from energy consumption to economic growth. The research founding indicates that developed countries represented by OECD should strictly implement policies concerning energy saving and emission reduction and shoulder duties of providing fund and technological aid;the emerging industrialized countries represented by the BRICs should implement policies concerning energy saving and emission reduction phase by phase,step by step and also assume the reasonable task of saving energy and reducing carbon dioxid

Probe into the Strategies of Regional Energy-Saving and Emission-Reduction Based on the Energy Consumption Structure Evolution

2015 ◽  
Vol 737 ◽  
pp. 956-962
Author(s):  
Xiao Geng Niu ◽  
Nan Nan Cao
Keyword(s):  
Carbon Dioxide ◽  
Energy Consumption ◽  
Energy Saving ◽  
Emission Intensity ◽  
Emission Reduction ◽  
Carbon Dioxide Emission ◽  
Structure Evolution ◽  
Energy Structure ◽  
Consumption Structure ◽  
Regional Energy

From 1980 to 2012 there were 80% carbon dioxide emission from traditional fossil energy in the world, and the proportion reached 90% in China, which was the top of carbon dioxide emission and energy consumption. In order to release the pressure of short term energy-saving and emission-reduction, as well as implement energy system cleaning in long term, reversing the positive situation of energy structure adjustment and the advancing the continuous evolution of energy consumption structure will be the effective methods. This paper takes Hebei Province and the whole country as the research objects, analyzes the influence of energy consumption structure changes on carbon dioxide emission and the correlation effect between energy consumption structure and carbon dioxide emission intensity by constructing a correlation model between energy consumption structure and carbon dioxide emission intensity, discusses the effective strategies for the regional energy-saving and emission-reduction.

Calculation and Decomposition of China’s Carbon Emissions from Transportation Energy Consumption: Based on LMDI Method

2014 ◽  
Vol 926-930 ◽  
pp. 4411-4414
Author(s):  
Mei Ling He ◽  
Xiao Hui Wu
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Intensity ◽  
Influence Factor ◽  
Energy Structure ◽  
Logarithmic Mean ◽  
Transportation Energy ◽  
Negative Effect ◽  
Positive Effect

According to the calculation method of the IPCC, the paper calculates the composition and intensity of carbon emissions from transportation energy consumption in China from 2000 to 2011. Based on logarithmic mean divisia index (LMDI) decomposition technique, changes of carbon emissions quantity are analyzed by three factors which are the transportation energy intensity, the economic growth and the transportation energy structure. The results show: (1) Transportation energy intensity was significantly decreased. Under its influence carbon emission intensity from the transportation energy was decreased, indicating that the energy efficiency was improved continuously. (2) Transport carbon emissions were in a growing trend. The greatest influence factor was the economic growth which had a positive effect and enlarged transportation carbon emissions quantity. On the other hand, the factors of the transportation energy intensity had a negative effect. Except 2011, the transportation energy structure always had a negative effect, which reduced transportation carbon emissions quantity.

Analysing Nexus between Economic Growth, GHG Emissions, and Energy Consumption for India

2021 ◽  
Vol 17 (1) ◽  
pp. 1-16
Author(s):  
Asim Hasan ◽  
Rahil Akhtar Usmani
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Carbon Emissions ◽  
Series Data ◽  
Gas Emissions ◽  
Current Time ◽  
Causal Influence ◽  
Integration Test

Rising greenhouse gas emissions is an important issue of the current time. India’s massive greenhouse gas emissions is ranked third globally. The escalating energy demand in the country has opened the gateway for further increase in emissions. Recent studies suggest strong nexus between energy consumption, economic growth, and carbon emissions. This study has the objective to empirically test the aforementioned interdependencies. The co-integration test and multivariate vector error correction model (VECM) are used for the analysis and the Granger Causality test is used to establish the direction of causality. The time-series data for the period of 1971–2011 is used for the analysis. The results of the study confirm strong co-integration between variables. The causality results show that economic growth exerts a causal influence on carbon emissions, energy consumption exerts a causal influence on economic growth, and carbon emissions exert a causal influence on economic growth. Based on the results, the study suggests a policy that focuses on energy conservation and gradual replacement of fossil fuels with renewable energy sources, which would be beneficial for the environment and the society.

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