Decomposition analysis of the change of energy intensity of manufacturing industries in Thailand

Chontanawat, Jaruwan; Wiboonchutikula, Paitoon; Buddhivanich, Atinat

doi:10.1016/j.energy.2014.05.111

Cited by 43 publications

(27 citation statements)

References 27 publications

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“…LEAP was developed by the Stockholm Environmental Institute (SEI-US) (Schnaars 1987;Heaps 2002Heaps , 2012. Specifically, LEAP is a scenario-based energy environment modeling tool for energy policy analysis and can be used to track energy consumption, production and resource extraction in all the sectors (Chontanawat et al 2014;Kemausuor et al 2015). The aim of the model is to analyze the effects of multiple factors on energy consumption under different scenarios in an objective, quantitative and comprehensive way, to provide a reference for the policy makers and investors (Huang et al 2011).…”

Section: Methodology 31 China-leap Model Frameworkmentioning

confidence: 99%

A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool

et al. 2016

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China's energy consumption experienced rapid growth over the past three decades, raising great concerns for the future adjustment of China's energy consumption structure. This paper first presents the historical evidence on China's energy consumption by the fuel types and sectors. Then, by establishing a bottom-up accounting framework and using long-range energy alternatives planning energy modeling tool, the future of China's energy consumption structure under three scenarios is forecast. According to the estimates, China's total energy consumption will increase from 3014 million tonnes oil equivalent (Mtoe) in 2015 to 4470 Mtoe in 2040 under the current policies scenario, 4040 Mtoe in 2040 under the moderate policies scenario and 3320 Mtoe in 2040 under the strong policies scenario, respectively, lower than those of the IEA's estimations. In addition, the clean fuels (gas, nuclear and renewables) could be an effective alternative to the conventional fossil fuels (coal and oil) and offer much more potential. Furthermore, the industry sector has much strong reduction potentials than the other sectors. Finally, this paper suggests that the Chinese government should incorporate consideration of adjustment of the energy consumption structure into existing energy policies and measures in the future.

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Section: Methodology 31 China-leap Model Frameworkmentioning

confidence: 99%

A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool

et al. 2016

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“…Wang [42] decomposed energy intensity changes into five components (technological catch-up, technological progress and changes in capital -energy ratio, labor -energy ratio and output structure) and concluded that ''technological progress, capital accumulation and output structure change contributed to the declines of energy intensity from 1980 to 2010'' [42: 482]. Other researchers also came to similar conclusions using decomposition analysis: energy intensity depends on technological energy efficiency [39,[43][44][45]. But what implications for enhancing technological energy efficiency can be deduced from these conclusions?…”

Section: Energy Intensity Datamentioning

confidence: 79%

Measuring energy efficiency: Is energy intensity a good evidence base?

Proskuryakova

Kovalev²

2015

Applied Energy

126

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“…The decline growth of the labour-intensive industries was the result of rising competition from the emergence of many low-wage countries such as China, India, and Vietnam, in the world market [9].…”

Section: Analysis Of Economicmentioning

confidence: 99%

Energy Efficiency Tracking in Thai Manufacturing Sector by Decomposition Technique

2016

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Abstract. This paper presents an analysis of energy saving and changes in energy intensities in Thai manufacturing sector by Logarithmic Mean Divisia Index decomposition technique. This method includes three effects consists of the energy intensity effect, the structural effect and the effect of the economic growth on the energy consumption in Thailand by using the 25-year annual data from 1990 to 2014, carried out in four phases; (i) before National Energy Conservation law, (ii) during the effect of the law, (iii) Transition period of the law from first to second version, and (iv) during the effect of the law (No.2). We found that the most effective intensity effect is in the third phase due to the effect of the implementation of new energy efficient equipment from the second phase by enforcement of the law, especially in non-metallic sector, while the first phase illustrates the lowest intensity effect due to the energy conservation law had not been occurred. However, due to the highest economic growth of the country and change from agricultural to industrial development direction, the first phase presents the most effective structural effect, then this effect continuously decreased by time. We also conclude that the energy conservation law have direct effect to energy efficiency of the country however, strictly individual regulation which have target to enforce to energy intensive industries is still required for sustainable energy efficiency improvement.

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Decomposition analysis of the change of energy intensity of manufacturing industries in Thailand

Cited by 43 publications

References 27 publications

A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool

A review of China’s energy consumption structure and outlook based on a long-range energy alternatives modeling tool

Measuring energy efficiency: Is energy intensity a good evidence base?

Energy Efficiency Tracking in Thai Manufacturing Sector by Decomposition Technique

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