Index Decomposition Analysis and Energy Consumption of Turkey: 2000-2014

ATAMAN, Aynur YILMAZ

doi:10.29228/jore.17

Cited by 4 publications

(2 citation statements)

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“…Initially, IDA was performed based on the Laspeyres decomposition method [41][42][43][44], but later, researchers switched to the Divisia decomposition technique [45][46][47][48][49], using the arithmetic mean Divisia index (AMDI) [50,51], and to the logarithmic mean Divisia index (LMDI) method [52][53][54], as well as to using both of them [55]. The LMDI decomposition approach, proposed by Ang and Zhang [38], yields an almost perfect decomposition, leaving no residuals in the decomposition model compared to the AMDI decomposition approach [56]. As discovered by one of the inventors, after more than 15 years of using LMDI decomposition, it was proven to produce results with no residuals, involving many factors and spatial decomposition and integrating the physical and economic components ( [36], p. 234).…”

Section: Literature Reviewmentioning

confidence: 99%

“…One can find many applications of the LMDI decomposition method for large-scale energy studies ( [56][57][58][59][60], etc. ), but so far insufficient attention has been paid to decomposition analysis of the electric power sector specifically, and, in most cases, such analysis is restricted to one stage of electricity flows or one country.…”

Section: Literature Reviewmentioning

confidence: 99%

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Fundamental Shifts in the EU’s Electric Power Sector Development: LMDI Decomposition Analysis

et al. 2023

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The electric power sector plays a central role in changing the EU’s energy landscape and establishing Europe as the first climate-neutral continent in the world. This paper investigates fundamental shifts in the EU’s electric power sector by carrying out its logarithmic mean Divisia index decomposition by stages of electricity flows on a large-scale basis (for both the entire EU and its 25 member states) for the period 1995–2021 and identifies the individual contribution of each EU member state to these shifts. In this study, four decomposition models were proposed and 14 impact factors (extensive, structural, and intensive) affecting the development of the EU electric power sector were evaluated in absolute and relative terms. It was found that the wind–gas transition, which took place in the EU’s electric power sector, was accompanied by an increase in the transformation efficiency of inputs in electricity generation and a drop in the intensity of final energy consumption. The non-industrial reorientation of the EU’s economy also resulted in a decrease in the final electricity consumption. At the same time, this transition led to negative shifts in the structure and utilization of its generation capacities. The fundamental shifts occurred mainly at the expense of large economies (Germany, France, Spain, and Italy), but smaller economies (Romania, Poland, Croatia, the Netherlands, and others) made significant efforts to accelerate them, although their contributions on a pan-European scale were less tangible.

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