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.

scholarly journals Sectoral Decomposition of CO2 Emissions in China and India for the Period 1980-2010

2013 ◽  
Author(s):  
Hasan Rüstemoğlu ◽  
Sevin Uğural
Keyword(s):  
Co2 Emissions ◽  
Scale Effect ◽  
Energy Use ◽  
Energy Intensity ◽  
Public Awareness ◽  
Carbon Intensity ◽  
Composition Effect ◽  
Intensity Effect ◽  
China And India ◽  
Laspeyres Index

Increasing amount of CO2 emissions and global warming is one of the hottest topics of world’s agenda. At the same time there exists a public awareness about this important chapter. A lot of researcher proved that in order to live in a sustainable world, necessary regulations should be done and CO2 emissions should be reduced immediately. For this study our aim is to decompose the CO2 emissions of the world’s new super powers, China and India, over 1980-2010. In order to see the accelerating and decelerating factors for CO2 emissions, the Refined Laspeyres Index used as a method. Consistent data gathered from the official web sites of the World Bank and United Nations. Five main sectors, agriculture, manufacturing, construction, transportation and other services are used. Four different impacts, scale effect, composition effect, energy intensity effect and carbon intensity effect have been discussed to see the increasing or decreasing factors of CO2 emissions. The results were interesting. The dominant impacts were the scale effect and energy intensity effect. The minor impacts were composition effect and carbon intensity effect. Fuel switching, efficient energy use and increasing usage of renewable resources are efficient tools to reduce the emissions.

scholarly journals Long-Term Increases and Recent Slowdowns of CO2 Emissions in Korea

2020 ◽  
Vol 12 (17) ◽  
pp. 6924
Author(s):  
Wankeun Oh ◽  
Jonghyun Yoo
Keyword(s):  
Co2 Emissions ◽  
Energy Intensity ◽  
Decomposition Analysis ◽  
Carbon Intensity ◽  
Analysis Model ◽  
Economic Sectors ◽  
Support Strategies ◽  
Index Decomposition ◽  
End Use

Korea is one of the fastest-growing CO2-emitting countries but has recently experienced a dramatic slowdown in emissions. The objective of the study is to examine the driving factors of long-term increases (1990–2015) and their slowdown (2012–2015) in emissions of Korea. This study uses an extended index decomposition analysis model that better fits Korea’s emission trends of the last 25 years by encompassing 19 energy end-use sectors (18 economic sectors and a household sector) and three energy types. The results show that emission increases in the long term (1990–2015) come from economic growth and population growth. However, improvements in energy intensity, carbon intensity, and economic structure offset large portions of CO2 emissions. The recent slowdown (2012–2015) mainly resulted from a decline in energy intensity and carbon intensity in the economic sectors. Among the different energy types, electricity has played a significant role in decreasing emissions because industries have reduced the consumption of electricity per output and the source of electricity generation has shifted to cleaner energies. These results imply that the Korean government should support strategies that reduce energy intensity and carbon intensity in the future to reduce CO2 emissions and maintain sustainable development.

scholarly journals Determinants of Energy-Based CO2 Emissions in Ethiopia: A Decomposition Analysis from 1990 to 2017

2020 ◽  
Vol 12 (10) ◽  
pp. 4175 ◽  
Author(s):  
Gideon Nkam Taka ◽  
Ta Thi Huong ◽  
Izhar Hussain Shah ◽  
Hung-Suck Park
Keyword(s):  
Co2 Emissions ◽  
Emission Intensity ◽  
Energy Intensity ◽  
Fossil Fuel ◽  
Driving Forces ◽  
Economic Effect ◽  
Decomposition Analysis ◽  
Rapid Urbanization ◽  
Intensity Effect ◽  
Decomposition Approach

Ethiopia, among the fastest growing economies worldwide, is witnessing rapid urbanization and industrialization that is fueled by greater energy consumption and high levels of CO2 emissions. Currently, Ethiopia is the third largest CO2 emitter in East Africa, yet no comprehensive study has characterized the major drivers of economy-wide CO2 emissions. This paper examines the energy-related CO2 emissions in Ethiopia, and their driving forces between 1990 and 2017 using Kaya identity combined with Logarithmic Mean Divisia Index (LMDI) decomposition approach. Main findings reveal that energy-based CO2 emissions have been strongly driven by the economic effect (52%), population effect (43%), and fossil fuel mix effect (40%) while the role of emission intensity effect (14%) was less pronounced during the study period. At the same time, energy intensity improvements have slowed down the growth of CO2 emissions by 49% indicating significant progress towards reduced energy per unit of gross domestic product (GDP) during 1990-2017. Nonetheless, for Ethiopia to achieve its 2030 targets of low-carbon economy, further improvements through reduced emission intensity (in the industrial sector) and fossil fuel share (in the national energy mix) are recommended. Energy intensity could be further improved by technological innovation and promotion of energy-frugal industries.

scholarly journals LMDI Decomposition of Energy Intensity: Application To Ukraine

2020 ◽  
Vol 9 (4) ◽  
pp. 1284-1288
Keyword(s):  
Service Sector ◽  
Energy Intensity ◽  
Decomposition Analysis ◽  
Transport Service ◽  
Logarithmic Mean ◽  
Economic Sectors ◽  
The World ◽  
Main Factors ◽  
Multiplicative Models ◽  
The Impact

In the world today, energy efficiency plays a key role in economic development of the countries. Over the period of 2013-2017 the energy intensity of economic entities in Ukraine decreased by 64.9 % or 0.0174 kgoe/UAH. However, its level is one of the highest in the world. The objective of this article is to reveal the main factors, which affect this tendency. In order to do this the decomposition analysis is used through the application of the Logarithmic Mean Divisia Index (LMDI-I) method. This paper uses both additive and multiplicative models to identify the impact degree, which the structure and energy intensity of economic sectors (namely industry, transport, service sector, agriculture and others) have on the overall energy intensity of economic entities. The results indicate that in the period under review the sectoral energy intensity factor has the greatest influence on the total energy intensity, whereas the impact of the economic structure is insignificant.

scholarly journals Decomposition Analysis of the Carbon Emissions of the Manufacturing and Industrial Sector in Thailand

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 798
Author(s):  
Jaruwan Chontanawat ◽  
Paitoon Wiboonchutikula ◽  
Atinat Buddhivanich
Keyword(s):  
Co2 Emissions ◽  
Emission Intensity ◽  
Co2 Emission ◽  
Energy Intensity ◽  
Manufacturing Sector ◽  
Decomposition Analysis ◽  
Intensity Change ◽  
Positive Contribution ◽  
Intensity Effect ◽  
Co2 Emission Intensity

Since the 1990s, CO2 emissions have increased steadily in line with the growth of production and the use of energy in the manufacturing sector in Thailand. The Logarithmic Mean Divisia Index Method is used for analysing the sources of changes in CO2 emissions as well as the CO2 emission intensity of the sector in 2000–2018. On average throughout the period, both the amount of CO2 emissions and the CO2 emission intensity increased each year relative to the baseline. The structural change effect (effect of changes of manufacturing production composition) reduced, but the intensity effect (effect of changes of CO2 emissions of individual industries) increased the amount of CO2 emissions and the CO2 emission intensity. The unfavourable CO2 emission intensity change came from the increased energy intensity of individual industries. The increased use of coal and electricity raised the CO2 emissions, whereas the insignificant change in emission factors showed little impact. Therefore, the study calls for policies that decrease the energy intensity of each industry by limiting the use of coal and reducing the electricity used by the manufacturing sector so that Thailand can make a positive contribution to the international community’s effort to achieve the goal of CO2 emissions reduction.

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 Key Factors Influencing the Achievement of Climate Neutrality Targets in the Manufacturing Industry: LMDI Decomposition Analysis

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8006
Author(s):  
Kristiāna Dolge ◽  
Dagnija Blumberga
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
Manufacturing Industry ◽  
Decomposition Analysis ◽  
Clean Energy ◽  
Industrial Activity ◽  
Intensity Effect ◽  
Wood Processing ◽  
Activity Effect ◽  
The Impact

The manufacturing industry is often caught in the sustainability dilemma between economic growth targets and climate action plans. In this study, a Log-Mean Divisia Index (LMDI) decomposition analysis is applied to investigate how the amount of industrial energy-related CO2 emissions in Latvia has changed in the period from 1995 to 2019. The change in aggregate energy-related CO2 emissions in manufacturing industries is measured by five different factors: the industrial activity effect, structural change effect, energy intensity effect, fuel mix effect, and emission intensity effect. The decomposition analysis results showed that while there has been significant improvement in energy efficiency and decarbonization measures in industry, in recent years, the impact of the improvements has been largely offset by increased industrial activity in energy-intensive sectors such as wood processing and non-metallic mineral production. The results show that energy efficiency measures in industry contribute most to reducing carbon emissions. In the future, additional policies are needed to accelerate the deployment of clean energy and energy efficiency technologies.

scholarly journals Driving Forces of Energy-Related CO2 Emissions Based on Expanded IPAT Decomposition Analysis: Evidence from ASEAN and Four Selected Countries

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 764 ◽  
Author(s):  
Jaruwan Chontanawat
Keyword(s):  
Population Growth ◽  
Co2 Emissions ◽  
Energy Demand ◽  
Energy Use ◽  
Driving Forces ◽  
Global Climate ◽  
Decomposition Analysis ◽  
Driving Factors ◽  
Carbon Intensity ◽  
Rapid Urbanization

ASEAN is a dynamic and diverse region which has experienced rapid urbanization and population growth. Their energy demand grew by 60% in the last 15 years. In 2013, about 3.6% of global greenhouse-gas emissions was emitted from this region and the share is expected to rise substantially. Hence, a better understanding of driving forces of the changes in CO2 emissions is important to tackle global climate change and develop appropriate policies. Using IPAT combined with variance analysis, this study aims to identify the main driving factors of CO2 emissions for ASEAN and four selected countries (Indonesia, Malaysia, Philippines and Thailand) during 1971–2013. The results show that population growth and economic growth were the main driving factors for increasing CO2 emissions for most of the countries. Fossil fuels play an important role in increasing CO2 emissions, however the growth in emissions was compensated by improved energy efficiency and carbon intensity of fossil energy. The results imply that to decouple energy use from high levels of emissions is important. Proper energy management through fuel substitution and decreasing emission intensity through technological upgrades have considerable potential to cut emissions.

scholarly journals Using the LMDI Method to Analyze the Change in Greenhouse Gas Emissions in Turkish Sectors

2021 ◽  
Author(s):  
Abdulkadir BEKTAŞ
Keyword(s):  
Co2 Emissions ◽  
Heat Production ◽  
Economic Activity ◽  
Energy Intensity ◽  
Decomposition Analysis ◽  
Manufacturing Industries ◽  
Lmdi Method ◽  
Gaseous Fuels ◽  
Turkish Economy ◽  
Determining Factors

In this study, CO2 emissions of the Turkish economy are decomposed for the 1998&ndash;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&rsquo; 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.

scholarly journals The Export Growth of Pakistan: A Decomposition Analysis

1996 ◽  
Vol 35 (4II) ◽  
pp. 693-702 ◽  
Author(s):  
Azhar Mahmood ◽  
Naeem Akhtar
Keyword(s):  
Decomposition Analysis ◽  
World Market ◽  
Export Growth ◽  
Positive Contribution ◽  
Composition Effect ◽  
Trade Effect ◽  
The World ◽  
World Demand ◽  
Constant Market Share Analysis ◽  
Constant Market Share

The Constant Market Share Analysis of export growth is used here to capture the world trade effect, the commodity composition effect, the market distribution effect and the competitiveness effect for the periods: 1984-85–1988-89 and 1988-89–1992-93. The results show that Pakistan has maintained her export share in the world market. The market distribution and competitiveness of Pakistani exports have improved significantly between the two periods under study. However, the concentration of Pakistani exports into traditional commodities, whose world demand remained sluggish, has offset the positive contribution of effective market distribution and improved competitive strengths to a large extent. A restructuring of exports (from traditional to non-traditional), an increase in the variety of exports, search for new fast growing markets and an improvement in the economic and political environment are suggested to enhance the export growth of Pakistan in future.

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