Research on the temporal and spatial characteristics, spatial clustering and governance strategies of carbon emissions in cities of Shandong

4Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

Abstract

In September 2020, China proposed a carbon neutral target for 2060, and at the same time proposed to accelerate the implementation of the national carbon peaking task for 2030. In the context of “dual carbon,” provinces and cities urgently need to achieve low-carbon transformational development, but there are significant differences in the development level, process and trend of carbon emission reduction among regions. Therefore, it is necessary to understand the carbon emission characteristics of each city, so as to provide scientific and effective guidance for local governments to adopt differentiated low-carbon emission reduction measures. In this paper, the spatial and temporal distribution characteristics of carbon emissions and carbon intensity of 16 cities in Shandong Province were analyzed with the help of ArcGIS, and then the static and dynamic factors affecting urban carbon emissions were considered comprehensively, and the clustering analysis of 16 cities was conducted by using the systematic clustering method. The results show that, according to the characteristics of each type of cities, they can be summarized into four categories: “low economic high carbon type,” “high economic high carbon type,” “high economic low carbon type,” “low carbon.” The results show that the cities in each category do not have complete geographical continuity. Finally, after analyzing the characteristics of carbon emissions in each type of cities, this paper proposes targeted policy recommendations to promote the development of low-carbon emission reduction.

Cite

CITATION STYLE

APA

Yang, A., Zhang, L., Zhang, S. Z., Zhan, Z., & Shi, J. (2022). Research on the temporal and spatial characteristics, spatial clustering and governance strategies of carbon emissions in cities of Shandong. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.1024122

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free