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Published March 2020 | Version v1
Journal article

Does regional energy consumption disparities assist to control environmental degradation in OBOR: an entropy approach

  • 1. Beijing University of Posts and Telecommunications. The Center of Industrial Economics and Green Development (China)
  • 2. Beijing University of Posts and Telecommunications. School of Economics and Management (China)
  • 3. Beijing University of Posts and Telecommunications. State Key Laboratory of Networking and Switching Technology (China)

Description

China launched the One Belt & One Road (OBOR) initiative to minimize the energy resource shortage. The China's nearby countries are rich in energy resources especially Middle East and North Africa (MENA) and Asian countries which make them ideal locations to cooperate with China in terms of energy resources, as 42.8% of world energy consumption belongs to OBOR countries. The present study elaborates the spatial distribution pattern of energy consumption disparities and its impact on environment. To do this, an entropy approach is utilized to compute the energy consumption inequalities in OBOR and its regions. The spatial and Pareto analysis show that MENA, East, and Southeast Asian economies have the highest degree of energy consumption inequalities, while European and Central Asian economies show the lowest energy consumption inequalities in OBOR region. The long-run estimates indicate that energy consumption inequalities enhance the CO2 emission in OBOR and its region except South and Southeast Asia. Financial development also has a significantly positive impact on CO2 emission in all models for OBOR and its regions except East Asia. Based on findings, the spatial distribution analysis is applicable to maintain balance in regional energy consumption inequality within OBOR and its regions.

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Identifiers

Publishing Information

Journal Title
Environmental Science and Pollution Research International
Journal Volume
27
Journal Issue
7
Journal Page Range
p. 7105-7119
ISSN
0944-1344
CODEN
ESPLEC

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Copyright
Copyright (c) 2019 © Springer-Verlag GmbH Germany, part of Springer Nature 2019