scholarly journals Analysing South Africa’s automotive energy consumption : application of index decomposition analysis

2021 ◽  
Author(s):  
◽  
Rofhiwa Tevin Machivha
Keyword(s):  
Energy Consumption ◽  
Decomposition Analysis ◽  
Structural Effect ◽  
Intensity Effect ◽  
Sectoral Shifts ◽  
Activity Effect ◽  
Index Decomposition Analysis ◽  
Index Decomposition ◽  
Industrial Energy ◽  
The Impact

This research focuses on applying the Index Decomposition Analysis (IDA) to South Africa’s automotive industry to decompose energy consumption and further make use of regression analysis to understand how it relates to the economy. South Africa has been going through an energy crisis, which has resulted in ongoing load shedding as a way to manage this crisis. Looking at South Africa’s energy generation, it can be noted that the entire country depends on Eskom as the main supplier and of electricity, but it is unable to keep pace with the demand. The results of the research show that there exists a nexus across all segments between energy consumption and GDP; furthermore, the decomposition results show that energy consumption in some years experienced a reduction. However, it can be seen that an increase in energy consumption year on year is predominant; this then suggests that the reductions experienced were the result of a special event; hence, it can be deduced that overall energy consumption has increased slightly. The increase is as a result of the activity effect which contributed the most towards this whilst the structural effect yielded a negligible contribution. Lastly, the intensity effect contributed to the reduction in energy consumption as a result of sectoral shifts; this reduction contributed towards keeping the overall increase in energy consumption low. This study aimed to outline the differences in energy consumed during the production of different vehicle classes, citing various factors responsible for the changes in energy consumption during vehicle production, raising awareness with manufacturers on the impact industrial energy consumption has on the national energy grid and on advising medium to large manufacturers to become suppliers.

scholarly journals A Decomposition Analysis of the Korean Manufacturing Sector: Monetary vs. Physical Outputs

2021 ◽  
Vol 13 (11) ◽  
pp. 6192
Author(s):  
Junghwan Lee ◽  
Jinsoo Kim
Keyword(s):  
Energy Consumption ◽  
Energy Use ◽  
Driving Forces ◽  
Manufacturing Sector ◽  
Decomposition Analysis ◽  
Primary Energy ◽  
Intensity Effect ◽  
Activity Effect ◽  
Index Decomposition ◽  
Output Indicator

This study analyzes the changes in energy consumption of the Korean manufacturing sector using the index decomposition analysis (IDA) method. To capture the production effect based on actual physical activities, we applied the activity revaluation (AR) approach in the analysis. We also developed energy consumption data in terms of primary energy supply to consider conversion loss in the energy sector to avoid any distortions in the intensity effect. The analysis covers every manufacturing subsector in Korea over the period between 2006 and 2018. Combining two distinctive approaches from the previous literature, the AR approach and primary energy-based analysis gives us helpful findings for a climate policy. First, the overall activity effect estimated from the physical output indicator is lower than that from the monetary output indicator. The monetary indicator shows that the share of energy-intensive industries decreases, whereas the physical indicator shows the opposite. Second, in terms of energy efficiency, the intensity effect is estimated as an increasing factor of energy use, whereas inversed results are shown when we use the monetary indicator. Lastly, unlike the previous studies, the AR approach results indicate that Korean manufacturing sectors have been shifting toward an energy-intensive, so it is hard to anticipate positive intensity effects, which means decreasing energy consumption factor, for a while. These results support why analyzing the driving forces of energy consumption through the AR approach and primary energy base is highly recommended.

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.

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 The “Eco-Effectiveness” of Agritourism Dynamics in Italy and Spain: A Tool for Evaluating Regional Sustainability

2020 ◽  
Vol 12 (17) ◽  
pp. 7080
Author(s):  
Angelo Belliggiano ◽  
Eugenio Cejudo Garcia ◽  
Marilena Labianca ◽  
Francisco Navarro Valverde ◽  
Stefano De Rubertis
Keyword(s):  
Rural Development ◽  
Circular Economy ◽  
Evolutionary Dynamics ◽  
Decomposition Analysis ◽  
New Approach ◽  
Sustainability Index ◽  
Index Decomposition Analysis ◽  
Index Decomposition ◽  
The Impact ◽  
Ecological Dimension

Rural tourism has commonly been identified as one of the main areas of application of the principles of sustainable tourism, but the literature has typically focused solely on the ecological dimension, particularly when referring to agritourism. This study presents a new approach to assessing the “eco-effectiveness” of the evolutionary dynamics of agritourism, as applied in a study of NUTS-2 regions in two European countries (Spain and Italy) that have implemented similar rural development strategies. To this end, a synthetic sustainability index was developed using the Index Decomposition Analysis (IDA) technique. The last period of the European Agricultural Fund for Rural Development (EAFRD) 2007–2013 was chosen for the study in order to analyze the outcomes of a programming cycle focusing on the diversification of agriculture through tourism. The results show that the sustainability of agritourism growth is not homogeneous and has specific features in different regions of the same country. In some cases, there were more similarities with regions from other countries. This tool could help evaluate the impact of agritourism and facilitate comparisons between different regions, in this way supporting the process of transition from a linear to a circular economy.

scholarly journals A futuristic view of energy saving and related energy rebound effect in Bangladesh using complete decomposition model (CDM)

2012 ◽  
Vol 47 (3) ◽  
pp. 313-320
Author(s):  
S Khosruzzaman ◽  
MA Asgar ◽  
MA Asgar ◽  
KMR Rahman ◽  
S Akbar
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Service Sector ◽  
Rebound Effect ◽  
Structural Effect ◽  
Total Energy Consumption ◽  
Intensity Effect ◽  
Complete Decomposition ◽  
Decomposition Model ◽  
Activity Effect

In this paper Complete Decomposition Model is used to compute the future energy saving pattern from the difference of the 'trend' and 'real' values of energy consumption. The 'trend' is defined as a sum of activity effect and the energy use in the base year. The 'real' is defined as a sum of energy consumption in the base year and the change in energy consumption due to the activity effect, structural effect and intensity effect. This analysis is carried out in respect of Bangladesh for the period 2008-2030. The economic sectors that are taken in to account are agriculture, industry and service. The futuristic view shows that Bangladesh can save about 47.47 MTOE in agriculture sector and 34.96 MTOE from service sector. On the other hand, industry sector, which is accounted for 58% of the total energy consumption, failed to save energy, rather the country consumed 227 MTOE more energy than usual. The energy rebound effect that relies upon the activity effect and structural effect has also been estimated to examine the energy uses pattern of these sectors. The aggregate energy rebound effect was found to be 1480 MTOE, of which activity effect and structural effect contribute 91.21% and 8.78% respectively. DOI: http://dx.doi.org/10.3329/bjsir.v47i3.13066 Bangladesh J. Sci. Ind. Res. 47(3), 313-320 2012

scholarly journals Impact of Nigeria's industrial sector on level of inefficiency for energy consumption: Fisher Ideal index decomposition analysis

Heliyon ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. e06952
Author(s):  
Abdulrasheed Zakari ◽  
Jurij Toplak ◽  
Missaoui Ibtissem ◽  
Vishal Dagar ◽  
Muhammad Kamran Khan
Keyword(s):  
Energy Consumption ◽  
Decomposition Analysis ◽  
Industrial Sector ◽  
Index Decomposition Analysis ◽  
Index Decomposition ◽  
Fisher Ideal Index

Energy consumption in South African industry: A decomposition analysis using the LMDI approach

2018 ◽  
Vol 29 (2) ◽  
pp. 232-244 ◽  
Author(s):  
Oludolapo A Olanrewaju
Keyword(s):  
Energy Consumption ◽  
Energy Conservation ◽  
South African ◽  
Decomposition Analysis ◽  
The Other ◽  
Industrial Policies ◽  
Activity Effect ◽  
Industrial Energy ◽  
Industrial Energy Consumption ◽  
Crucial Part

Improving efficiency levels of energy consumption needs the appreciation of previous trends in the consumption of energy and the assessment of factors that have contributed to the changes in energy consumption. This study assessed the South African industrial energy consumption from 1970/1971 to 2015/2016. During 2015/2016, the industrial energy consumption increased by 794.39%. In addition, the decomposition analyses proved that the activity effect played a crucial part in the country’s industrial energy consumption increase. The results clearly showed that saving techniques and industrial policies have not impacted on the country’s industrial energy. In achieving energy conservation, it is important to enforce the policies formulated should the policies have not been well implemented. On the other hand, should formulated policies be implemented, then there is a need for revision of the existing policies.

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