scholarly journals Sources of China’s Fossil Energy-Use Change

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 699 ◽  
Author(s):  
Yawen Han ◽  
Shigemi Kagawa ◽  
Fumiya Nagashima ◽  
Keisuke Nansai
Keyword(s):  
Energy Input ◽  
Energy Use ◽  
Decomposition Analysis ◽  
Level Energy ◽  
Structural Decomposition Analysis ◽  
Critical Approach ◽  
Technology Improvement ◽  
Primary Driver ◽  
Input Level ◽  
Level Effect

Technology improvement related to energy conservation and energy mix low-carbonization is a critical approach for tackling global warming in China. Therefore, we attempt to identify the technology factors of China’s energy consumption change between 2007 and 2012, when China’s economy started slowing. This study proposes a new refined structural decomposition analysis (SDA) based on a hybrid multi-regional input–output (MRIO) model. The technology factors are expressed through the energy input level effect, energy composition effect, and non-energy input effect. We find that the energy level effect was the primary driver for energy reduction, saving 1205 million tonnes of standard coal equivalent (Mtce) of energy, while 520 Mtce was offset by energy composition and non-energy input effects. The sector analysis shows that the energy input level, energy composition, and non-energy input effects of electricity, the chemical industry, and metallurgy are noteworthy. In addition, the sector contribution to energy-use change, by province, related to the three effects, is also studied. From these results, we propose policy suggestions for further energy saving, in order to achieve China’s energy target through technology improvements by the higher priority contributors identified.

The Effects of Trade, Domestic Final Demand and Technology on Energy Consumption of China

2014 ◽  
Vol 700 ◽  
pp. 743-746
Author(s):  
Shui Jun Peng ◽  
Yi Cao
Keyword(s):  
Energy Consumption ◽  
Energy Input ◽  
Energy Use ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Technology Change ◽  
Analysis Model ◽  
Structural Decomposition Analysis ◽  
The Sustainable Development ◽  
China’S Economy

The rapid growth of China’s economy consumed a lot of energy, but excessive energy consumption may constraint the sustainable development of China. This paper constructs a two-tier structural decomposition analysis model to decompose the change of energy use during 1987 and 2010 into 11 factors, and analyze the results of sub-periods. The results show that the scale and products’ structure of domestic final demand, the scale of exports, imports substitution, the structure and the input technology of material promoted the energy in the whole period. However, the intensity of energy, the products structure of exports , the structure and technology change of energy input reduced the energy consumption.

scholarly journals The Place of Turkey among MINT Countries from Efficient Energy Use Perspective: A Comparative Decomposition Analysis

2017 ◽  
Author(s):  
Harun Bal ◽  
Banu Tanrıöver ◽  
Müge Manga
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Energy Input ◽  
Energy Use ◽  
Decomposition Analysis ◽  
Index Method ◽  
Safety Strategies ◽  
Energy Dependent ◽  
Input Prices ◽  
Efficient Energy Use

The security of energy supply has become an important issue for energy-dependent countries due to increasing energy demand and energy input prices in recent years. Therefore, energy-dependent countries have developed energy safety strategies to reduce dependence. However, the environmental problems that occur because of the increase in energy consumption, countries had to adopt an economic development process, sustainable development strategies taking account of environmental factors together with economic growth. Thus, an energy input and optimal energy policies have become increasingly important. This paper investigates the real energy efficiency by decomposing the structural and production activities and energy consumption changes of MINT countries, namely, Mexico, Indonesia, Nigeria and Turkey for the period of 1990-2014 utilizing Logarithmic Average Division Index Method. The results show that Mexico uses energy more efficiently among the countries. Mexico is followed by Indonesia, Turkey and Nigeria, respectively.

scholarly journals Measuring energy efficiency - structural and index decomposition analysis

2018 ◽  
Vol 2 (4) ◽  
pp. 71
Author(s):  
Paulina Stachura
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Use ◽  
Decomposition Analysis ◽  
Structural Decomposition Analysis ◽  
Energy Efficiency Improvement ◽  
Index Decomposition Analysis ◽  
Index Decomposition ◽  
Main Determinants ◽  
The Impact

Aim: The aim is to recognize the main determinants of the energy efficiency improvement in transport in Poland in the years 2000-2014 using structural and index decomposition analysis, and to identify areas where there is still potential for further reduction of energy consumption.Design / Research methods: Techniques used to analyse changes in energy use are: structural decomposition analysis and index decomposition analysis. Each of these two methods is characterized by distinctive, unique techniques and approaches, as they have developed quite independently. Index decomposition analysis measures the impact of energy efficiency gains on the level of energy consumption, at the most detailed sector disaggregation level allowed by the available data. Whereas structural decomposition analysis allows to analyse the impact of the external factors, such as technological, demand, and demographic effects, on the fluctuations of the total energy consumption. The similarities and differences between the two approaches are summarized and illustrated with a numerical example of Polish transport.Conclusions / findings: The article recognizes the main determinants of the energy efficiency improvement in transport sector in Poland in the years 2000-2014. In case of Poland ODEX shows an overall progress of energy efficiency in transport by 24.3%. Results obtained with decomposition analysis indicate large divergences in energy efficiency improvements between modes of transport and vehicle types and identify areas where there is still potential for further reduction of energy consumption. Results from decomposing structure of energy use, show activity effect to be main reason for energy use growth. The distribution of each mode in total traffic of passengers and goods changes toward less energy efficient modes. The only factor driving down the energy use is energy savings.Originality / value of the article: Using two methods of decomposition analysis and comparing obtained outcomes allows to get a broader view on energy use trends. Results presented in this article are a good starting point for further detailed analysis of changes in energy use of transport.

A Structural Decomposition Analysis of CO2 Emission in China

2011 ◽  
Vol 361-363 ◽  
pp. 1756-1760 ◽  
Author(s):  
Li Bo Yuan
Keyword(s):  
Energy Policy ◽  
Emission Intensity ◽  
Energy Input ◽  
Decomposition Analysis ◽  
Intensity Increase ◽  
Structural Decomposition Analysis ◽  
Structural Decomposition ◽  
Five Factors ◽  
Direct Emission ◽  
Emission Volume

This article compiles the energy input-output tables for year 2002 and 2007. Based on the energy input-out tables, we compute the carbon emission volume of China and by sector. The article also analyzes the source and change of the emission volume, based on structural decomposition analysis. The article finds that there are five factors affect the carbon dioxide. Among which the change of emission intensity, domestic need are the main reason of the decrease of emission, while production technology, trading structure and scale effect increase the emission volume. We also find that although the direct emission intensity decrease during the study period, the complete emission intensity increase by an annual rate of 3.8%, which reflect the result of energy policy is not equal in different sectors. We cannot deny the technologic and economic linkages between sectors when establish an energy policy.

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