An investigation of the determinants of energy intensity in emerging market countries

With the rapid economic growth in most Emerging Market Countries, the energy intensity showed a striking decline. To explore this energy puzzle, we evaluated energy intensity reduction in 30 Emerging Market Countries, which were referred to as E30 in this paper. A combined conceptual analysis framew...

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Autores principales:	Xiangdong Sun, Mingzhu Jia, Zhao Xu, Zhiyi Liu, Xuezhi Liu, Qian Liu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Emerging market countries Energy intensity Energy price Logarithmic mean divisia index approach Regression analysis Energy industries. Energy policy. Fuel trade HD9502-9502.5
Acceso en línea:	https://doaj.org/article/11bf951c633c4625bf11298689582bf9
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spelling	oai:doaj.org-article:11bf951c633c4625bf11298689582bf92021-12-04T04:33:55ZAn investigation of the determinants of energy intensity in emerging market countries2211-467X10.1016/j.esr.2021.100790https://doaj.org/article/11bf951c633c4625bf11298689582bf92022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2211467X21001735https://doaj.org/toc/2211-467XWith the rapid economic growth in most Emerging Market Countries, the energy intensity showed a striking decline. To explore this energy puzzle, we evaluated energy intensity reduction in 30 Emerging Market Countries, which were referred to as E30 in this paper. A combined conceptual analysis framework was proposed and two main procedures were involved: 1) the aggregate energy intensity of E30 was decomposed into activity mix and national intensity, applying the Logarithmic Mean Divisia Index (LMDI) approach; 2) regression analysis was used to assess the relationship between energy price and national intensity following Cobb–Douglas cost function, where the energy price of each country was measured using energy depletion and Brent oil price (as a robust check). The results indicated that national intensity was the main factor of aggregate energy intensity reduction with a contribution share of more than 100%, whether in 27 countries from 1971 to 2016 or 30 countries from 1990 to 2016. With respect to the impact of energy price on national intensity, we concluded that the relative energy price increased by more than 170% between 1971 and 2016. But the corresponding average decrease in national intensity was limited because the absolute value of negative elasticity between energy price and national intensity was less than 0.07. So, some energy-saving policies can also be used to achieve energy efficiency goals.Xiangdong SunMingzhu JiaZhao XuZhiyi LiuXuezhi LiuQian LiuElsevierarticleEmerging market countriesEnergy intensityEnergy priceLogarithmic mean divisia index approachRegression analysisEnergy industries. Energy policy. Fuel tradeHD9502-9502.5ENEnergy Strategy Reviews, Vol 39, Iss , Pp 100790- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Emerging market countries Energy intensity Energy price Logarithmic mean divisia index approach Regression analysis Energy industries. Energy policy. Fuel trade HD9502-9502.5
spellingShingle	Emerging market countries Energy intensity Energy price Logarithmic mean divisia index approach Regression analysis Energy industries. Energy policy. Fuel trade HD9502-9502.5 Xiangdong Sun Mingzhu Jia Zhao Xu Zhiyi Liu Xuezhi Liu Qian Liu An investigation of the determinants of energy intensity in emerging market countries
description	With the rapid economic growth in most Emerging Market Countries, the energy intensity showed a striking decline. To explore this energy puzzle, we evaluated energy intensity reduction in 30 Emerging Market Countries, which were referred to as E30 in this paper. A combined conceptual analysis framework was proposed and two main procedures were involved: 1) the aggregate energy intensity of E30 was decomposed into activity mix and national intensity, applying the Logarithmic Mean Divisia Index (LMDI) approach; 2) regression analysis was used to assess the relationship between energy price and national intensity following Cobb–Douglas cost function, where the energy price of each country was measured using energy depletion and Brent oil price (as a robust check). The results indicated that national intensity was the main factor of aggregate energy intensity reduction with a contribution share of more than 100%, whether in 27 countries from 1971 to 2016 or 30 countries from 1990 to 2016. With respect to the impact of energy price on national intensity, we concluded that the relative energy price increased by more than 170% between 1971 and 2016. But the corresponding average decrease in national intensity was limited because the absolute value of negative elasticity between energy price and national intensity was less than 0.07. So, some energy-saving policies can also be used to achieve energy efficiency goals.
format	article
author	Xiangdong Sun Mingzhu Jia Zhao Xu Zhiyi Liu Xuezhi Liu Qian Liu
author_facet	Xiangdong Sun Mingzhu Jia Zhao Xu Zhiyi Liu Xuezhi Liu Qian Liu
author_sort	Xiangdong Sun
title	An investigation of the determinants of energy intensity in emerging market countries
title_short	An investigation of the determinants of energy intensity in emerging market countries
title_full	An investigation of the determinants of energy intensity in emerging market countries
title_fullStr	An investigation of the determinants of energy intensity in emerging market countries
title_full_unstemmed	An investigation of the determinants of energy intensity in emerging market countries
title_sort	investigation of the determinants of energy intensity in emerging market countries
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/11bf951c633c4625bf11298689582bf9
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An investigation of the determinants of energy intensity in emerging market countries

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