Trends of energy intensity and CO2emissions in the Thai industrial sector: The decomposition analysis

2016 ◽  
Vol 11 (6) ◽  
pp. 504-510 ◽  
Author(s):  
Pornphimol Winyuchakrit ◽  
Bundit Limmeechokchai
Keyword(s):  
Energy Intensity ◽  
Decomposition Analysis ◽  
Industrial Sector

scholarly journals La evolución de la intensidad energética de la industria vasca entre 1982 y 2001: Un análisis de descomposición

2011 ◽  
Vol 4 (7) ◽  
pp. 63 ◽  
Author(s):  
Alberto Ansuategi ◽  
Iñaki Arto
Keyword(s):  
Time Series ◽  
Energy Intensity ◽  
Decomposition Analysis ◽  
Industrial Sector ◽  
Autonomous Community ◽  
Additive Decomposition ◽  
Iron And Steel ◽  
Index Decomposition ◽  
Industrial Energy ◽  
Steel Sector

In this article an index decomposition methodology is used to estimate the effect of intersectoral and intrasectoral changes in explaining the 38% reduction in industrial energy intensity in the Basque Autonomous Community from 1982 to 2001. Period-wise additive decomposition results show that 1) the decline is mainly explained by intrasectoral changes and that 2) intersectoral changes have hardly contributed to reduce the energy intensity of the Basque industrial sector. However, time-series decomposition analysis shows that 1) four different phases can be distinguished in the evolution of energy intensity of the Basque industry from 1982 to 2001 and 2) that the evolution of the «Iron and Steel» sector is determinant when explaining those phases. Moreover, the analysis stresses the necessity to disaggregate the «Iron and Steel» sector in order to be able to distinguish purely technological effects from the rest of intrasectoral changes.

Decomposition analysis of the change of energy intensity of manufacturing industries in Thailand

Energy ◽  
2014 ◽  
Vol 77 ◽  
pp. 171-182 ◽  
Author(s):  
Jaruwan Chontanawat ◽  
Paitoon Wiboonchutikula ◽  
Atinat Buddhivanich
Keyword(s):  
Energy Intensity ◽  
Decomposition Analysis ◽  
Manufacturing Industries

scholarly journals The Energy Intensity of Economic Sectors in Mint Countries: Implications for Sustainable Development

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Chibueze, E. Nnaji ◽  
Nnaji Moses ◽  
Jonathan N. Chimah ◽  
Monica C. Maduekwe
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Energy Use ◽  
Energy Intensity ◽  
Decomposition Analysis ◽  
Output Growth ◽  
Policy Framework ◽  
Economic Sectors ◽  
Activity Effect ◽  
Industrial Sectors

<div><p><em>This paper analysed the status of energy intensity of economic sectors (agriculture, industry, commercial, residential) in MINT (Mexico, Indonesia, Nigeria, Turkey) countries and its implications for sustainable development. We utilised descriptive statistics as well as the Logarithmic Mean Divisia Index (LMDI) decomposition analysis to examine energy and efficiency trends, from 1980-2013, in MINT countries. Empirical results indicate inefficient energy use in the residential and industrial sectors of Nigeria and Indonesia. The analysis  also indicates that income/output growth (activity effect) contributed to an increase in sectoral energy consumption of MINT countries. It also revealed that while structural effects contributed to a reduction in energy consumption in virtually all the sectors in Turkey and Mexico, it contributed to an increase in energy consumption of the residential, industrial and commercial sectors of Indonesia and Nigeria in virtually all the periods. These results suggest that a policy framework that emphasizes the utilization of energy efficient technologies especially electricity infrastructural development aimed at energy service availability, accessibility and affordability will help to trigger desirable economic development and ensure rapid sustainable development of MINT economies.</em></p></div>

scholarly journals Decomposition Analysis of CO2 Emissions for Turkey and Iran over 1990-2010

2014 ◽  
Author(s):  
Hasan Rüstemoğlu ◽  
Sevin Uğural
Keyword(s):  
Co2 Emissions ◽  
Scale Effect ◽  
Energy Intensity ◽  
Decomposition Analysis ◽  
Carbon Intensity ◽  
Composition Effect ◽  
Economic Sectors ◽  
Intensity Effect ◽  
The World ◽  
Laspeyres Index

There exists an important awareness for reduction of CO2 emissions to obtain a sustainable world. Together with this, there is a great deal of interest for decomposition analysis to see the accelerating and decelerating factors of CO2 emissions. The aim of this project is to decompose CO2 emissions in economic sectors for the two superpowers of Middle East, Iran and Turkey, over the time period between 1990 and 2010, for Turkey obtained a rapid growth performance in recent years and Iran which is the energy superpower of the world. Refined Laspeyres Index decomposition method and a consistent data gathered from the World Bank’s and UN’s databases have been used during the analysis. Five main sectors (agriculture, manufacturing, transportation, construction and other service sectors) and four main impacts (scale effect, composition effect, energy intensity effect and carbon intensity effect) have been considered to see the increasing and decreasing factors of CO2 emissions. Various interesting results are observed for both of the countries, for each of the economic sectors. Generally scale effect and energy intensity effect are the dominant impacts for all sectors of both countries. However composition effect and carbon intensity effect are also important contributors for economic activities of these two countries. Overall, our analysis showed that these two countries should pay attention for energy intensity and sustainable economic growth.

China's changing energy intensity trend: A decomposition analysis

2008 ◽  
Vol 30 (3) ◽  
pp. 1037-1053 ◽  
Author(s):  
Chunbo Ma ◽  
David I. Stern
Keyword(s):  
Energy Intensity ◽  
Decomposition Analysis

Study on the industrial structure optimization under constraint of energy intensity

2020 ◽  
pp. 0958305X2092159
Author(s):  
Xiongfeng Pan ◽  
Mengna Li ◽  
Chenxi Pu ◽  
Haitao Xu
Keyword(s):  
Energy Consumption ◽  
Computable General Equilibrium ◽  
Technological Progress ◽  
Energy Intensity ◽  
Industrial Structure ◽  
High Energy ◽  
Industrial Sector ◽  
Added Value ◽  
Tertiary Industry ◽  
Intensity Control

This study establishes a multi-sector dynamic computable general equilibrium framework that integrates energy intensity module to explore the reverse feedback effect of energy intensity control on industry structure. The results indicate that (1) the tightening effect of energy intensity constrains on the Industrial sector is most significant, followed by the Tertiary Industry, with the least impact on Agriculture; (2) when there is no technological progress in the departments, the change of industrial structure is mainly reflected in the sharp decline in the proportion of Industry and the significant increase in the proportion of Tertiary Industry. When technological progress exists in high energy-consumption departments, the tightening effect of energy intensity constraints on the industrial sector will be reduced; when there is technological progress in all departments, the industrial structure will have a smaller change, and the technology progress can alleviate the tightening effect of the energy intensity target on various sectors; (3) under the constraint of energy intensity, the high energy-consuming industry shifts to the Equipment Manufacturing with low energy-consumption and high-added value. The increasing proportion of Tertiary Industry mainly comes from two industries including Wholesale, Retail, Hoteling and Catering, and Transportation, Storage, and Post.

scholarly journals Which Sectors Really Matter for a Resilient Chinese Economy? A Structural Decomposition Analysis

2019 ◽  
Vol 11 (22) ◽  
pp. 6333 ◽  
Author(s):  
Xin Mai ◽  
Roger C. K. Chan ◽  
Chaoqun Zhan
Keyword(s):  
Real Estate ◽  
National Economy ◽  
Financial Services ◽  
Decomposition Analysis ◽  
Industrial Sector ◽  
Chinese Economy ◽  
Infrastructure Development ◽  
Structural Decomposition Analysis ◽  
Economic Sectors ◽  
Economic Resilience

This study explores the structural effect of economic resilience with a case of China by examining the extent to which the major economic sectors contribute to the relative resilience of China’s overall economy. By applying a time series analysis, we use the Hodrick–Prescott filter to delineate China’s national economy on a quarterly basis and reveal different performances in responding to two recent economic crises in 1997 and 2008. Using quarterly data pertaining to eight economic sectors (including agriculture, industry, and major service sectors) and the national GDP from 1993Q1 to 2017Q2, we examine their effects on China’s economic resilience by simulating the responses of the national economy to a unit shock from each sector. Results show that the construction, real estate, and financial services have the greatest potential to “disturb” the national economy whereas the industrial sector has the greatest potential to “stabilize” it. The findings correspond with the understanding that extensive infrastructure development and the real estate boom have driven China’s rapid urban development and created economic prosperity, whereas the sectoral decomposition of economic resilience compels a critical reflection on the risks of this growth model.

Sign in / Sign up

Export Citation Format

Share Document