Research on Carbon Emission Efficiency Space Relations and Network Structure of the Yellow River Basin City Cluster

Haihong Song, Liyuan Gu (), Yifan Li, Xin Zhang and Yuan Song
Additional contact information
Haihong Song: Urban and Rural Planning, School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
Liyuan Gu: Urban and Rural Planning, School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
Yifan Li: Urban and Rural Planning, School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
Xin Zhang: Urban and Rural Planning, School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China
Yuan Song: Urban and Rural Planning, School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China

IJERPH, 2022, vol. 19, issue 19, 1-19

Abstract: The Yellow River Basin serves as China’s primary ecological barrier and economic belt. The achievement of the Yellow River Basin’s “double carbon” objective is crucial to China’s green and low-carbon development. This study examines the spatial link and network structure of city cluster carbon emission efficiency in the Yellow River Basin, as well as the complexity of the network structure. It focuses not only on the density and centrality of the carbon emission efficiency network from the standpoint of city clusters, but also on the excellent cities and concentration of the city cluster ‘s internal carbon emission efficiency network. The results show that: (1) The carbon emission efficiency of the Yellow River Basin has been dramatically improved, and the gap between city clusters is narrowing. However, gradient differentiation characteristics between city clusters show the Matthew effect. (2) The distribution of carbon emission efficiency in the Yellow River Basin is unbalanced, roughly showing a decreasing trend from east to west. Lower-level efficiency cities have played a significant role in the evolution of carbon emissions efficiency space. (3) The strength of the carbon emission efficiency network structure in the Yellow River Basin gradually transitions from weakly correlated dominant to weakly and averagely correlated dominant. Among them, the Shandong Peninsula city cluster has the most significant number of connected nodes in the carbon emission efficiency network. In contrast, the emission efficiency network density of the seven city clusters shows different changing trends. Finally, this study suggests recommendations to improve carbon emission efficiency by adopting differentiated governance measures from the perspective of local adaptation and using positive spatial spillover effects.

Keywords: Yellow River Basin; city cluster; carbon emission efficiency; spatial relationships; network structure (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/19/12235/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/19/12235/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:19:p:12235-:d:926304

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().