Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (11): 1668-1672.DOI: 10.12068/j.issn.1005-3026.2016.11.031

• Management Science • Previous Articles    

Spatial-Time Evolution of Carbon Emission Patterns in China: Based on Dynamic Evolution and Spatial Agglomeration

TONG Xin1,2, LI Xue-sen3, TONG Lin4, CHEN Kai1   

  1. 1. School of Business Administration, Northeastern University, Shenyang 110169, China; 2. School of Economics, Central University of Finance and Economics, Beijing 100081, China; 3. Shenyang Polytechnic College, Shenyang 110045, China; 4. Dalian Institute of Science and Technology, Dalian 116052, China.
  • Received:2015-09-09 Revised:2015-09-09 Online:2016-11-15 Published:2016-11-18
  • Contact: TONG Xin
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Abstract: Aiming at the spatial correlation and difference of Chinese carbon emission, the spatial dependence and temporal transition path of Chinese regional carbon emission were analyzed with global spatial autocorrelation testing the spatial agglomeration was explored with local spatial autocorrelation testing, and the evolution of Chinese regional carbon emission scatter plot was studied based on Rey’s measurement of spatial and temporal transition . The results showed that there exists an inter-province correlation in Chinese carbon emission with a clustering pattern, which tends to increase gradually, and the spatial correlation of Chinese carbon emissions and the local regional structure are quite stable and path dependent. Therefore, the issue of Chinese carbon emission should be viewed objectively and rationally, the development of low-carbon economy and the policies of managing carbon emission in China should be considered both globally and dynamically from the spatial perspective.

Key words: carbon emission, spatial correlation, spatial difference, space-time dynamics, space-time transition, spatial agglomeration

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