About the Journal
Current issue
Online first
Instructions for Authors
Editorial policies
Archive
3/2017 vol. 26
CC BY-NC 4.0
Get citation
ORIGINAL RESEARCH
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
 
More details
Hide details
 
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
 
 
Article (PDF)
Citations (10)
 
KEYWORDS
transport carbon emissions
Xinjiang
decoupling index
LMDI
 
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:
  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.
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.
 
CITATIONS (10):
1.
The decoupling states of CO2 emissions in the Chinese transport sector from 1994 to 2012: A perspective on fuel types
Dayong Wu, Changwei Yuan, Hongchao Liu
Energy & Environment
 
CrossRef
 
 
2.
Spatio-temporal characteristics of the relationship between carbon emissions and economic growth in China’s transportation industry
Li Wang, Jie Fan, Jiaoyue Wang, Yanfei Zhao, Zhen Li, Rui Guo
Environmental Science and Pollution Research
 
CrossRef
 
 
3.
Decoupling and decomposition analysis of transportation carbon emissions at the provincial level in China: perspective from the 11th and 12th Five-Year Plan periods
Caiquan Bai, Yibing Chen, Xing Yi, Chen Feng
Environmental Science and Pollution Research
 
CrossRef
 
 
4.
Machine learning in exploration the decoupling paradigm in transport
Elżbieta Szaruga, Elżbieta Załoga
Procedia Computer Science
 
CrossRef
 
 
5.
The Spatiotemporal Pattern of Decoupling Transport CO2 Emissions from Economic Growth across 30 Provinces in China
Ji Zheng, Yingjie Hu, Suocheng Dong, Yu Li
Sustainability
 
CrossRef
 
 
6.
Decoupling analysis of the industrial growth and environmental pollution in the Circum-Bohai-Sea region in China
Yanling Xi, Dan Yan, Jian Zhang, Xiangshan Fu
Environmental Science and Pollution Research
 
CrossRef
 
 
7.
Development of New Mathematical Methods and Software Applications for More Efficient and Sustainable Road Freight Transportation
György Kovács
Sustainability
 
CrossRef
 
 
8.
Decoupling Analysis of CO2 Emissions in Transportation Sector from Economic Growth during 1995–2015 for Six Cities in Hebei, China
Lijun Zhang, Caiyun Kou, Ji Zheng, Yu Li
Sustainability
 
CrossRef
 
 
9.
Impacts of regional development on emissions in China’s transport sector
Yiwen Wu, Rong Yuan, Yuchen Pan
Environmental Science and Pollution Research
 
CrossRef
 
 
10.
Decouple transport CO2 emissions from China’s economic expansion: A temporal-spatial analysis
Ying Liu, Chao Feng
Transportation Research Part D: Transport and Environment
 
CrossRef
 
 
Share
Send by email
RELATED ARTICLE
Temporal and Spatial Characteristics of the Coupled Coordination Degree of the ‘Three Life’ Functions of Arable Land in Xinjiang and its Driving Factors
Prediction and Path Planning Framework of X City’s Carbon Emissions Based on the Long Short-Term Memory Network Model
Driving Factors and Early Warning System for Carbon Emissions in China’s Export Trade
Coupling Coordination and Regional Disparities: Analyzing the Interaction between Digital Economy Development and Ecological Environment Quality in China (2011-2021)
Impact Mechanism of Environmental Regulations on Farmers’ Waste Farm Polyethylene Film Recycling Behavior
Indexes
 
Keywords index
Topics index
Authors index
eISSN:2083-5906
ISSN:1230-1485
Journals System - logo
2026 PJOES. This is an open-access journal. All articles are distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)
owned by HARD sc publishing company Wengris 71 10-765 Olsztyn Poland Tax number 7391837147
© 2006-2026 Journal hosting platform by Bentus
Scroll to top