scholarly journals Dynamic evolution analysis of the factors driving the growth of energy-related CO2 emissions in China: An input-output analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243557
Author(s):  
Yan Ma ◽  
Zhe Song ◽  
Shuangqi Li ◽  
Tangyang Jiang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
High Carbon ◽  
Output Analysis ◽  
Fossil Energy ◽  
Input Output Analysis ◽  
Secondary Industry ◽  
Demand Effect

In recent years, the global greenhouse effect caused by excessive energy-related carbon emissions has attracted more and more attention. In this paper, we studied the dynamic evolution of factors driving China's energy-related CO2 emissions growth from 2007 to 2015 by using energy consumption method and input-output analysis and used the IO-SDA model to decompose the energy carbon emissions. Within the research interval, the results showed that (1) on the energy supply-side, the high carbon energy represented by raw coal was still the main factor to promote the growth of energy-related CO2 emissions. However, the optimization of energy consumption structure is conducive to reducing emissions. Specifically, the high carbon energy represented by raw coal exhibited a downward trend in promoting the increment of energy-related CO2 emissions, while the clean energy represented by natural gas showed an upward trend in promoting the increment of CO2 emissions. It is worth noting that there is still a lot of room for optimization of China’s energy consumption structure to reduce emissions. (2) On the energy demand-side, the final demand effect is the main driving force of the growth of carbon emissions from fossil energy. Among them, the secondary industry plays a major role in the final demand effect. The "high carbonization" of the final product reflects the characteristics of China's high energy input in the process of industrialization. At the same time, since the carbon emission efficiency of the tertiary industry and the primary industry is better than that of the secondary industry, actively optimizing the industrial structure is conducive to slowing down the growth of carbon emission brought by the demand effect. (3) The input structure effect is the main restraining factor for the growth of energy carbon emissions, while the energy intensity effect has a slight driving effect on the growth of energy carbon emissions. The results show that China's "extensive" economic growth model has been effectively reversed, but the optimization of fossil energy utilization efficiency is still not obvious, and there is still a large space to curb carbon emissions by improving fossil energy utilization efficiency in the future.

Carbon Emission of Mining Industry’s Energy Consumption in Heilongjiang Province

2015 ◽  
Vol 1092-1093 ◽  
pp. 1597-1600
Author(s):  
Zhong Hua Wang ◽  
Xin Ye Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Mining Industry ◽  
Calculation Model ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Heilongjiang Province ◽  
Low Carbon

The need to reduce carbon emission in Heilongjiang Province of China is urgent challenge facing sustainable development. This paper aims to make explicit the problem-solving of carbon emission to find low carbon emission ways. According to domestic and foreign literatures on estimating and calculating carbon emissions and by integrating calculation methods of carbon emissions, it was not possible to consider all of the many contributions to carbon emissions. Calculation model of carbon emissions suitable to this paper is selected. The carbon emissions of energy consumption in mining industry are estimated and calculated from 2005 to 2012, and the characteristics of carbon emission are analyzed at the provincial level. It makes the point that carbon emissions of energy consumption in mining industry can be reduced when we attempt to alter energy consumption structure, adjust industrial structure and improve energy utilization efficiency.

Input-output analysis of carbon emissions embodied in China-Japan trade

2015 ◽  
Vol 48 (16) ◽  
pp. 1515-1529 ◽  
Author(s):  
Yuhuan Zhao ◽  
Song Wang ◽  
Jiaqin Yang ◽  
Zhonghua Zhang ◽  
Ya Liu
Keyword(s):  
Carbon Emissions ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis

scholarly journals Analysis of total carbon emission of the logistics industry in Guangdong and solutions to emission reduction

2021 ◽  
Vol 245 ◽  
pp. 01020
Author(s):  
Aixia Xu ◽  
Xiaoyong Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Utilization ◽  
Total Carbon ◽  
Utilization Rate ◽  
Low Carbon ◽  
Logistics Industry ◽  
Direct Energy ◽  
Reduce Emissions

The input-output method is employed in this study to measure the total carbon emission of the logistics industry in Guangdong. The findings revealed that the carbon emission of direct energy consumption of the logistics industry in Guangdong is far above the actual carbon emissions, the second and third industries play a significant role in carbon emission of indirect energy consumption in the logistics industry in Guangdong. To reduce energy consumption and carbon emissions in Guangdong, it is not only important to control the carbon emissions in the logistics industry, but strengthen carbon emission detection in relevant industries, improve the energy utilization rate and reduce emissions in other industries, and move towards low-carbon sustainable development.

Simulation and Analysis of Cryogenic Air Separation Process with LNG Cold Energy Utilization

2014 ◽  
Vol 881-883 ◽  
pp. 653-658 ◽  
Author(s):  
Yong Qiang Xiong ◽  
Ben Hua
Keyword(s):  
Energy Consumption ◽  
Liquid Nitrogen ◽  
Electric Energy ◽  
Separation Process ◽  
Air Separation ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Pure Oxygen ◽  
Pure Nitrogen ◽  
Cold Energy

In this paper, a cryogenic air separation process with LNG cold energy utilization is proposed to produce liquid nitrogen and high pressure pure oxygen gas economically. To reduce the electric energy consumption of air separation products, liquid nitrogen have been produced by condensing the separated pure nitrogen gas with LNG cold energy utilization, and the recycled nitrogen is served to transfer cold energy from LNG stream to cool off air stream in the proposed cryogenic air separation process. The specifications of streams and the major equipments of the air separation process are simulated with Aspen Plus software and the main parameters analysis are performed. The results show that the energy consumption of the proposed air separation process with LNG cold energy utilization decreased about 58.2% compared with a conventional cryogenic air separation process. The compressed pressure of recycled nitrogen has a big impact on the cost of air separation products and utilization efficiency of LNG cold energy. The LNG cold energy could be fully utilized when the recycled nitrogen has been compressed to above 6.5MPa.

Thermodynamic Input-Output Analysis of Energy Utilization in Hubei Province

2012 ◽  
Vol 516-517 ◽  
pp. 74-79
Author(s):  
Ai Jun Li ◽  
Yin Xue Cao
Keyword(s):  
Material Processing ◽  
Primary Energy ◽  
Hubei Province ◽  
Energy Utilization ◽  
Raw Material ◽  
Energy Extraction ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Exergy Consumption

This paper develops a thermodynamic input-output analysis of industrial economy for Hubei Province, which accounts for the flow of cumulative exergy consumption of primary energy. Firstly, the basic situation of energy utilization in 2007 Hubei Province is analyzed. Then two different methods are adopted for thermodynamic input-output analysis in this paper, which are named as industrial cumulative exergy consumption and ecological cumulative exergy consumption. Results show that primary energy extraction sectors and raw material processing sectors have prominent peaks on both industrial cumulative exergy consumption and ecological cumulative exergy consumption for the case of Hubei Province. In terms of primary energy extraction sectors, traditional energy which has high exergy content should be substituted for new energy which has low exergy content. In terms of raw material processing sectors, high energy efficient and clean energy utilization technology should be promoted.

Analysis of China’s Provincial Energy Efficiency Based on the Generalized DEA Method

2014 ◽  
Vol 953-954 ◽  
pp. 890-895
Author(s):  
Hui Min Li ◽  
Cun Bin Li ◽  
Zhan Xin Ma
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Total Energy Consumption ◽  
Rapid Economic Growth ◽  
Technology Changes ◽  
Dea Method ◽  
Save Energy ◽  
The Impact

In recent years, with the rapid economic growth, the demand on the amount of energy in China is increasing. So the problem of how to improve the energy utilization efficiency and save energy consumption has to be tackled. The traditional CCR model and BCC model used in the study of provincial energy efficiency do not take the impact of technological progress into consideration. Therefore, the paper uses the generalized DEA method to research the energy utilization efficiency of China’s 29 provinces, that is, to evaluate and analyze the energy utilization efficiency by selecting the capital stock, employment and total energy consumption of China’s provinces as input factors and GDP, per capital GDP as output factors, and then draw tables showing each province’s change of average annual overall efficiency and the pure technology changes, and finally analyze the regularities underlying these changes.

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