Abstract

With the progression of regional connectivity, attaining the ‘dual-carbon target’ is no longer the narrative of a single city. To achieve synergistic governance among cities in the basin economic zone, it is essential to establish a multidimensional ecological compensation mechanism. This research amended the conventional carbon accounting model by utilising carbon emissions and economic data from 59 cities in China’s Yellow River Basin, covering the period from 2004 to 2021, after the timeframe of significant alterations in the administrative divisions of cities was removed. It additionally compares and analyses the clustering patterns and trajectories of centre-of-gravity shifts in regional ecocompensation credits while investigating the impact processes through geo-probes. The findings indicate that the amended carbon account has a more decentralised distribution when interregional disparities are considered. Second, ecocompensation credits are characterised mostly by low-high and low-low agglomeration; nevertheless, their regional distribution is uneven. Moreover, the rankings of the top five cities in terms of ecocompensation exhibited minimal variation each year. The degree of green technology is the primary determinant of the spatiotemporal evolution of ecological compensation. The conclusions of this study can serve as a valuable reference for the execution of medium- and long-term ecocompensation policies and aid in attaining the ‘dual-carbon’ aim.

Details

Title
A study on the quantification and impact mechanism of regional ecological compensation based on revised carbon accounts: evidence from the Yellow River Basin economic zone in China
Author
Xu, Hang 1 ; Li, Ruiyang 2 

 Nanning Normal University, School of Economics and Management, Nanning, China (GRID:grid.411856.f) (ISNI:0000 0004 1800 2274) 
 Fuzhou University, School of Economics and Management, Fuzhou, China (GRID:grid.411604.6) (ISNI:0000 0001 0130 6528) 
Pages
28511
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3129874561
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.