Delinking Indicators on Transport Output and Carbon Emissions in Xinjiang, China
Jie-fang Dong1,2,3, Jie-yu Huang1, Rong-wei Wu2,3, Chun Deng1
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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
Online publish date: 2017-05-26
Publish date: 2017-05-26
Submission date: 2016-10-21
Final revision date: 2016-12-05
Acceptance date: 2016-12-05
Pol. J. Environ. Stud. 2017;26(3):1045–1056
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:
  1. 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.
  2. 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.
  3. 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.
  4. 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.