Literature DB >> 31518783

Comparative analysis of drivers of energy consumption in China, the USA and India - A perspective from stratified heterogeneity.

Qiang Wang1, Xue-Ting Jiang2, Xue Yang3, Shuting Ge3.   

Abstract

With the limited amount of resources, developing effective strategies to make full use of them and decrease the energy consumption without too much sacrifice of economic output requires identifying key drivers of energy consumption growth rate as a prerequisite. Meanwhile, as top three consumers of primary energy of the world, China, the United States of America, and India burn over 45% of global fuels in 2016. Conducting an empirically comparative analysis of them can also set up pilot scheme for other economies to develop more efficient strategies for energy consumption. The paper modified the original Geographical Detector model with a different sampling method to detect the key driver of energy consumption growth rate, which filling the gap that there are possible interactions of potential factors. The results show that coal intensity is the biggest driver to change overall energy consumption growth rate in China and India. In comparison, for the United States, the leading drivers of energy use are the factors of individual incomes and oil intensity. In addition, all factors have interactions and enhance each other when influencing total energy consumption growth rate. India has the strongest factor interactions when influencing the energy consumption growth rate among the three economies, all interactions between factors in US is not significant as those in China and India. Besides providing outcomes that can contribute towards developing new strategies to use energy more efficiently, this research offers a pilot example of analyzing energy issues from the perspective of stratified heterogeneity in consideration the characteristic differences of each factor.
Copyright © 2019 Elsevier B.V. All rights reserved.

Keywords:  China; Energy consumption; Geographical detector; India; Stratified heterogeneity; US

Year:  2019        PMID: 31518783     DOI: 10.1016/j.scitotenv.2019.134117

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Determinants of Decoupling Economic Output from Carbon Emission in the Transport Sector: A Comparison Study of Four Municipalities in China.

Authors:  Qiang Wang; Shasha Wang; Rongrong Li
Journal:  Int J Environ Res Public Health       Date:  2019-10-03       Impact factor: 3.390

  1 in total

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