LMDI decomposition analysis of energy consumption in Andalusia (Spain) during 2003–2012: the energy efficiency policy implications

Carmona, María José Colinet; Collado, Rocío Román

doi:10.1007/s12053-015-9402-y

Cited by 49 publications

(10 citation statements)

References 43 publications

(33 reference statements)

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“…Index decomposition analysis is commonly used for primary or final energy consumption (e.g. Wang et al (2014), and Song and Zhang (2017) for final energy consumption in China; Timma and Blumberga (2014) for the energy sector in Latvia; Colinet Carmona and Román Collado (2016) for energy consumption in Andalusia; Stenqvist (2015) for the energy consumption of the Swedish pulp and paper industry; and Kerimray et al (2018) for energy intensity in Kazakhstan) and GHG emissions in individual countries or regions Wachsmuth and Duscha 2018;Kopidou and Diakoulaki 2017;Wang et al 2017;Xu et al 2017;Karmellos et al 2016;Xu et al 2016a, b;Colinet Carmona and Román Collado 2016;Moutinho et al 2016;Nie et al 2016;Pardo Martínez and Silveira 2013). Recently, also different aspects of air pollution other than GHG emissions were studied using index decomposition (e.g.…”

Section: Introductionmentioning

confidence: 99%

Applying ex post index decomposition analysis to final energy consumption for evaluating European energy efficiency policies and targets

2019

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This paper aims to unravel the effects of both policies and autonomous developments driving the changes of final energy consumption for the European Union (EU28) and its member states complemented with an in-depth analysis of two EU member states, Germany and Poland, for the period of 2000 to 2015 by the logarithmic mean Divisia index methodology (LMDI). We examine the influences on the changes in final energy consumption for each of the five main demand sectors at aggregated level and at a more detailed level of residential end-uses, transport modes and industrial sub-sectors. With the second level, we provide insights into the effects of policies from a European and national perspective. Our analysis shows that final energy consumption in the EU28 is primarily influenced by an increase in energy efficiency in industry followed by households. For the latter, the energy savings were mainly realised in space heating. The main counteracting drivers were increasing economic activity and the rising demand for higher comfort and social factors, such as a declining household size. Germany shows relatively low energy efficiency improvements in industry, but strong energy efficiency gains in households followed by transport. Poland's transport, however, is responsible for a strong increase in final energy consumption mainly through increased activity, while here the sector industry-despite strong effects of increased activity-in total shows a significant reduction in energy consumption through energy efficiency improvements.

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Section: Introductionmentioning

confidence: 99%

Applying ex post index decomposition analysis to final energy consumption for evaluating European energy efficiency policies and targets

2019

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“…This approach is also extended to more sectors of a country's economy with a focus on the evaluation of specific energy policies in current studies (e.g. Colinet Carmona and Román Collado 2016). Recently, studies applying IDA also focused more on the decomposition of greenhouse gas emissions (e.g.…”

Section: Decomposition Methods and Datamentioning

confidence: 99%

Applying ex-post index decomposition analysis to primary energy consumption for evaluating progress towards European energy efficiency targets

2017

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Monitoring the progress of the European Union and its Member States towards the EU's energy efficiency target is a crucial part of the mandatory process as defined in the Energy Efficiency Directive 2012/27/EU. In this paper, we conduct index decomposition analyses to show the effects of both policies and autonomous developments driving the changes of primary energy consumption for the European Union (EU28) and its Member States for the time period of 2000 to 2014, with a comparative analysis of Germany and Poland. These analyses are based on the logarithmic mean Divisia index methodology and primarily on data compiled by Eurostat. They are carried out on two levels, i.e. on the level of total primary energy consumption as well as on the level of primary energy consumption related to electricity generation. The first level examines the influences of changes in final energy consumption and changes within the energy conversion sector on primary energy consumption. With the second level, we provide insights into the effects of changes in electricity consumption and production. According to our first-level analysis, the consumption of primary energy in the EU28 is primarily influenced by an increased share of electrical energy and the counteracting effect of rising efficiency in electricity generation, induced by an increasing share of renewable energies. Furthermore, the reduction of final energy consumption had a significant decreasing influence on primary energy consumption in the European Union. The second level of our analysis regarding electricity generation shows that the increasing effect on primary energy consumption due to the rising consumption of electricity was mainly compensated by substituting nuclear and thermal power plants by renewable energy technologies.

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“…Besides, many related researchers have also done similar efficiency evaluations to get results. [18][19][20][21][22][23][24] However, in these previous research studies listed above, some problem remains unsolved. On the hypothesis of the affecting factors that result in energy consumption efficiency, no convincing evidence is shown for the reason of the variables selection.…”

Section: Introductionmentioning

confidence: 99%

Sustainable achievement efficiency of transport energy consumption based on indicator analysis

Jiang

2020

Computational Intelligence

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Energy issue is one of the crucial problems in the corresponding research of sustainability because it is strongly related to the environmental dimension and economic dimension. For evaluating the transport sustainability level for sustainability for regions, the concept of sustainable achievement efficiency in transport energy consumption is initially suggested in this article. And then, on the quantitative analysis to calculate the transport energy achievement efficiency of the regions, the indicators that can represent the achievement of transport energy consumption are convincingly found out by indicator theory. Next, concentration is focused on the transport related indicators and proper indicators are picked up from the candidate indicators, which were the affecting factors to this issue. After that, using the selected indicators, we introduce the method of data envelopment analysis to do quantitative analysis, which helps to get the sustainable achievement efficiency of transport energy among cities all over the world. The analysis result shows the efficient regions and the inefficient regions respectively. Furthermore, the detailed efficiency value of each region is also laid out clearly.

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LMDI decomposition analysis of energy consumption in Andalusia (Spain) during 2003–2012: the energy efficiency policy implications

Cited by 49 publications

References 43 publications

Applying ex post index decomposition analysis to final energy consumption for evaluating European energy efficiency policies and targets

Applying ex post index decomposition analysis to final energy consumption for evaluating European energy efficiency policies and targets

Applying ex-post index decomposition analysis to primary energy consumption for evaluating progress towards European energy efficiency targets

Sustainable achievement efficiency of transport energy consumption based on indicator analysis

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