Temporal-spatial evolution analysis on low carbon city performance in the context of China

Carbon emission reduction in the Chinese cities can make significant contributions to the mission of global emission reduction. Therefore, the promotion of low-carbon cities (LCC) in China is of great importance to achieve this mission. This paper examines the performance of practicing LCC in China by conducting a temporalspatial evolution analysis on LCC performance. By combining the entropy weight method and the linear weighted sum method, the LCC performance score is calculated to help establish performance grades. The quartile method and the Boston matrix method are used to conduct temporal analysis and spatial analysis respectively. The data employed in this study were collected from 34 cities in China for the period from 2006 to 2018. The findings are as follows: (1) The overall LCC performance in China has been improved in recent years and the implementation of the low carbon pilot project (LCPP) has made contributions to this improvement. (2) The LCC performance of those cities in Southern China is generally better than that in Northern cities. (3) Good LCC performance cities are those economically developed cities, in which the industrial structure is dominated by low carbon industries. This study provides a holistic picture of the LCC practice in China and also provides supportive references for policymakers to make tailor-made measures to improve the LCC performance internationally.

Automated summary

The study reveals that the performance of low-carbon cities (LCC) in China has improved in recent years, with better performance in southern cities compared to northern ones. Economically developed cities with a dominance of low carbon industries tend to have good LCC performance.