scholarly journals Decomposition Study of Factors for Energy Intensity Change in Shaanxi Province Based on LMDI Method

Author(s):  
Wen Zhang ◽  
Yu Ting Nie
Author(s):  
Abdulkadir BEKTAŞ

In this study, CO2 emissions of the Turkish economy are decomposed for the 1998–2017 period for four sectors; agriculture, forestry and fishery, manufacturing industries and construction, public electricity and heat production, transport, and residential. The analyses are conducted for five fuel types; liquid, solid, gaseous fuels, biomass, and other fuels. In decomposition analysis, Log Mean Divisia Index (LMDI) method is used. The analysis results point out that energy intensity is one of the determining factors behind the change in CO2 emissions, aside from economic activity. The fuel mix component, especially for the manufacturing industries and construction sector, lowers CO2 emissions during the crisis periods when the economic activity declines. Mainly, it is found that changes in total industrial activity and energy intensity are the primary factors determining the changes in CO2 emissions during the study period. Among GDP sectors, manufacturing industries and construction and public electricity and heat production are the two sectors that dominate the change in CO2 emissions. Additionally, the residential and transport sectors’ contributions have gained importance during recent years. Among the manufacturing industries and construction, the non-metallic minerals sector contributes to CO2 emissions, followed by the chemicals sector.


This research analyzes the energy consumption of transport service sectors in Vietnam and its changing trend in the past twenty-five years using Input-Output (IO) tables and Logarithmic-mean Divisia index (LMDI) method. IO table of 28 economic sectors in 1996, 2000, 2007, 2012 and 2018 is used to determine energy consumption, in which the transport service sector was always the third or second largest energy consumer, accounting for between 9% and 16% of total energy consumption. LMDI method is used to define influencing factors including transport activity, transport structure, transport intensity, and energy intensity. In these four impacts, the change of transport activity contributes the largest effect (occupied 74.3%), followed by the change of energy intensity (occupied 17.7%) of total increased share for energy consumption. Among the transport service sectors, it is found that Freight transport service by road played the mainstream role in the increasing trends of energy consumption in the period of 2007-2018. In order to improve the energy efficiency of the sector, investments in green transport technologies and modernization of trucks to be more efficient and eco-friendlier will be the key contributors.


2011 ◽  
Vol 347-353 ◽  
pp. 2897-2901
Author(s):  
Zhi Bin Li ◽  
Xi Ju Lu

Energy efficiency is one important index of a regional economic and social sustainable development strategy. To find some original factors influenced on the energy efficiency, we used energy data concerned during 1996-2008 in China and calculated the efficiency data in Laspeyres Decomposition, then analyzed the factors' influence values and energy efficiency's developing trend, at last, put forward the strategic advice. The data showed that energy intensity has declined from 1996 to 2008, and energy intensity change was mainly affected by technological progress factors. Except for 2002 to 2003, the energy intensity was declining in rest periods, and the factor of technological progress and the factor of the drop in life consumption have been playing positive roles to the decrease in the energy intensity, while the unreasonable industrial structure change had a negative effect on the decrease in the energy intensity.


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