Delinking Indicators on Transport Output and Carbon Emissions in Xinjiang, China

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About the Journal In Memory of Professor Jerzy Radecki Ownership and Management Statement Editorial Office Editorial Board Scope Impact Factor Indexed by Journal Impact Factor contributing items Publication Frequency Revenue Sources & Business Model Contact Subscription Journals Statistics

Current issue

Online first

Instructions for Authors Copyright & Licensing Publication Fees

Editorial policies Publication Policy Overview Peer Review Policy Research Ethics and Malpractice Policy Plagiarism Policy Conflict of Interest Policy Open Access Policy Instructions for Reviewers Generative AI and AI-Assisted Technologies Policy Advertising Policy Direct Marketing & Manuscript Solicitation Digital Archiving and Preservation Policy CrossMark, Correction, and Retraction Policy Complaints and Appeals Procedure

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ORIGINAL RESEARCH

Delinking Indicators on Transport Output and Carbon Emissions in Xinjiang, China

Jie-fang Dong^1,2,3, Jie-yu Huang¹, Rong-wei Wu^2,3, Chun Deng¹

¹Department of Economics and Management, Yuncheng University,
Yuncheng 044000, China
²State Key Laboratory of Desert and Oasis Ecology,
Xinjiang Institute of Ecology and Geography,
Chinese Academy of Sciences, Urumqi 830011, China
³College of Resources and Environment,
University of Chinese Academy of Sciences,
Beijing 100049, China

Submission date: 2016-10-21

Final revision date: 2016-12-05

Acceptance date: 2016-12-05

Online publication date: 2017-05-26

Publication date: 2017-05-26

Pol. J. Environ. Stud. 2017;26(3):1045-1056

DOI: https://doi.org/10.15244/pjoes/67553

KEYWORDS

transport carbon emissions

decoupling index

TOPICS

ABSTRACT

This paper identifies the driving forces of CO₂ emissions from 1990 to 2014 in Xinjiang’s transport sector based on the logarithmic mean divisia index (LMDI) method. Then we introduce the decoupling index to further quantitatively analyze the delinking indicators on the transport sector’s growth and environmental pressures. The results indicate that:

CO₂ emissions increased significantly with an average annual growth rate of 8.7%. On the contrary, energy intensity has declined constantly over the study period.
Economic growth, population size, industrial structure, internal structural and energy mix have proven to contribute to CO₂ emissions increases. Moreover, economic growth plays a critical role in the increment with a contribution of 13.23 million tons, followed by population size and internal structure.
Xinjiang’s transport witnessed a fluctuating decoupling progress with weak decoupling as the theme. In particular, the decoupling state moved from weak decoupling in 1991-2000 with short-term volatility to weak decoupling in 2001-2010. However, the coupling relationship was strengthened during 2011-2014.
Energy intensity is the most important factor for explaining the dissociation in Xinjiang’s transport sector. However, internal structural, industrial structure, and population size has turned out to be the obstacles in decoupling progress.

CONFLICT OF INTEREST

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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