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 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.

Impact of Global Economic Crisis on China’s Energy Consumption during 2008~2010

2012 ◽  
Vol 616-618 ◽  
pp. 1578-1584
Author(s):  
Fang Yi Li ◽  
Wei Dong Liu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Economic Crisis ◽  
Structural Adjustment ◽  
Central Government ◽  
Decomposition Analysis ◽  
Raw Material ◽  
Structural Decomposition Analysis ◽  
Global Economic Crisis ◽  
The Impact

As a driving force of economic growth, China’s export was affected by global economic crisis during 2008~2010. This paper aims to assess the impact of economic crisis on China’s energy consumption during the crisis. Contributions of energy efficiency, domestic final use, exports and imports to energy consumption change were clarified using methodology involves structural decomposition analysis based on input-output price model. In 2009, exports of energy-related and raw material sectors were seriously impacted by economic crisis, with energy use dramatically decreased. However, economic stimulus plan implemented by central government provided a great boost to energy consumption growth. According to the study, quantity and structural adjustment of export is one of the important ways to reduce energy consumption in a short time. But in a long term, consumption control and energy efficiency improvement are unsubstitutable.

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.

The Change of Energy Consumption in China and its Driving Forces

2014 ◽  
Vol 700 ◽  
pp. 739-742
Author(s):  
Yi Cao ◽  
Shui Jun Peng ◽  
Wen Cheng Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Driving Forces ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Embodied Energy ◽  
Input Output ◽  
Structural Decomposition Analysis ◽  
Structural Decomposition ◽  
Key Driver

This paper estimates the changes of industrial embodied energy consumption in China between 1997 and 2007, and applies a structural decomposition analysis (SDA), based on non-competitive (import) input-output tables, to analyze the sources of change of China’s energy consumption from 1997 to 2007. Results show that China’s energy consumption increased sharply, especially after the accession to WTO. The SDA results indicate that the improvement of energy efficiency during 1997-2007 significantly reduced energy consumption in China while the growth of final demand was the key driver of China’s energy consumption. In addition, distribution of final demand with the declining share of consumption and the increasing share of export push energy consumption upward.

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.

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