Xu Hang, Li Ruiyang
School of Economics and Management, Nanning Normal University, Nanning, Guangxi, 530299, China.
School of Economics and Management, Fuzhou University, Fuzhou, Fujian, 350108, China.
Sci Rep. 2024 Nov 18;14(1):28511. doi: 10.1038/s41598-024-78269-7.
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.
随着区域连通性的发展,实现“双碳目标”不再是单个城市的事情。为实现流域经济区城市间的协同治理,建立多维生态补偿机制至关重要。本研究利用中国黄河流域59个城市2004年至2021年的碳排放和经济数据,在去除城市行政区划发生重大变动的时间段后,修正了传统的碳核算模型。此外,在通过地理探测器研究影响过程的同时,对区域生态补偿信用的聚类模式和重心转移轨迹进行了比较和分析。研究结果表明,考虑区域差异时,修正后的碳核算分布更为分散。其次,生态补偿信用大多呈现低-高和低-低集聚特征;然而,其区域分布不均衡。此外,生态补偿排名前五的城市每年变化极小。绿色技术水平是生态补偿时空演变的主要决定因素。本研究的结论可为中长期生态补偿政策的实施提供有价值的参考,并有助于实现“双碳”目标。