Examining the sectoral energy use in Turkish economy (1980–2000) with the help of decomposition analysis

Ediger, Volkan Ş.; Huvaz, Ozkan

doi:10.1016/j.enconman.2005.05.022

Cited by 63 publications

(38 citation statements)

References 17 publications

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“…It has been not only conducted at different scale levels, but also for studies on energy consumption and energy-related CO 2 emissions in a specific industry or sector. These studies estimated and evaluated observed indicators to examine the factors, structural, and technological changes at industry level [10,[43][44][45][46][47]. Many scholars also suggested the use of IDA to specifically focus on China's industry and give a disaggregated sectoral decomposition often dealing with three or four sectors [34,[48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China

2013

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Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China's energy-related industrial CO 2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition, five categories of influencing factors are included: (1) Per capita GDP (PCG) was the largest positive driving factor for industrial CO 2 emissions growth for all sectors in China, with the largest cumulative contribution value; Population (P), economic structure (YS) and energy structure (ES) also played a positive driving role, but with weak contributions. As the only negative inhibiting factor, energy intensity (EI) significantly reduced the energy-related CO 2 emissions from industrial sectors. Meanwhile, CO 2 emissions reduction based on the efficiency of energy use still held a large space. (2) Various influencing factors imposed differential impacts on CO 2 emissions of six sectors.

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Section: Introductionmentioning

confidence: 99%

Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China

2013

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“…With increasing demand on commercial energy resource in production and processing of agro-produces. Energy management would play a key role in developing regional/ national coherent and implementable strategies for energy conservation, adopting energy efficient technologies as well as determining an appropriate energy resource-mix of conventional and renewable energy resources for minimizing energy cost [4]. A reliable supply of energy, in the right from, at the right time and at affordable prices, is an essential prerequisite for high agricultural productivity.…”

Section: Energy Management and Sustainability Issuesmentioning

confidence: 99%

The Energy Ecology in Agriculture: The Concept, Application and Management

Tinde¹

2017

APAR

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Submit Manuscript | http://medcraveonline.com Reduction. Application of integrated to reduce production costs, to efficiently use human labor and other inputs and to protect the environment. Agricultural productivity is closely linked with the energy. There is directly energy input (derived from mean, animal, electric motors, engines, power tiller and tractors) required for seedbed preparation, sowing or panting, inter-culture weed control, irrigation, harvesting and threshing, transportation, and there are indirect energy input (in the form of seed, fertilizers, organic manures, pesticides, growth regulators, machinery, and structures) which need varying amount of commercial and noncommercial energy source. The case and effect of global warming are basically rooted into the thermal emission, its retention and scattering into the atmosphere, which again can well be attributed substantially to the energy consumption pattern, both in urban and rural families as well as institutions. Any ecosystem in this universe needs energy as the driving force to maintain the system functioning and system behavior and it's no exception to farming ecosystem. The efficient energy consumption, generation and transfer have become a subject not only related to technology and input but also related to management and planning which again is socio-ecological in nature. Efficient energy management practices will help achieve and maintain this delicate balance. A reliable supply of energy, in the right from, at the right time and at affordable prices, is an essential prerequisite for high agricultural productivity. Energy is the ability or capacity to do work, and work is moving something against a force, like gravity. Energy exists in two forms potential and kinetic. Potential energy is the energy at rest {i.e., stored energy) capable of performing work. Kinetic energy is the energy of motion (free energy). Energy is the basic driver for any kind of ecological entity, big or small, medium, or humongous. Energy in Agricultural Ecological has certainly characterized its two basic functions-The production function and the system function.

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“…In general, the Divisia index model was used in decomposition studies ranging from specific industries, such as the manufacturing industry -which includes food manufacturing [80][81][82][83], the agricultural industry [84], the service industry [85], to whole economy decompositions [86][87][88][89][90]. The Laspeyres index approach was less popular, employed mainly by the International Energy Agency (IEA), due of its ease of use and to ensure consistency in IEA publications (ETO/ESD/LTO, 2007; [79]).…”

Section: Index Decomposition Analysis Modelsmentioning

confidence: 99%

Approaches for modelling the energy flow in food chains

Gowreesunker

Tassou

2015

Energ Sustain Soc

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Background: The heavy reliance of the global food chain on the use of fossil fuels and anticipated rise in global population threatens future global food security. Due to the complexity of the food and energy systems, the impact of adequate food, climate or energy policies should be carefully examined in a modelling framework which considers the interaction of the food and energy systems. However, due to the different modelling approaches available, it can be very difficult to identify which method best suits the required purpose.

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Examining the sectoral energy use in Turkish economy (1980–2000) with the help of decomposition analysis

Cited by 63 publications

References 17 publications

Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China

Decomposition Analysis of Energy-Related Industrial CO2 Emissions in China

The Energy Ecology in Agriculture: The Concept, Application and Management

Approaches for modelling the energy flow in food chains

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