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中国城市地区能源消耗与经济增长的脱钩效应及影响机制研究

An examination of the decoupling effect and influential mechanisms of energy consumption and economic growth in Chinese urban areas.

作者信息

Cheng Hao, Li Chun, Huangmei Mengmeng

机构信息

School of Economics and Management, Nanning Normal University, Nanning, 530299, Guangxi, China.

School of Economics and Management, Guangxi Science & Technology Normal University, Laibin, 546199, Guangxi, China.

出版信息

Sci Rep. 2025 Aug 25;15(1):31190. doi: 10.1038/s41598-025-16262-4.

Abstract

Under the "dual-carbon" target and the shift towards a high-quality economy, achieving a decoupling of energy consumption from economic growth is crucial. This study investigates the decoupling effect and the spatial-temporal dynamics of energy use and economic development across 282 prefecture-level cities in China from 2006 to 2021, employing the Tapio decoupling model. To thoroughly assess the factors influencing energy decoupling, a geographically weighted Durbin model was constructed based on an extended STIRPAT model. The findings reveal that:① There are notable disparities and variations in the decoupling status across regions, and from the 11th Five-Year Plan period to the 14th Five-Year Plan period, the number of cities exhibiting a weak decoupling state has diminished, with numerous cities demonstrating a negative growth decoupling state. ② The decoupling state of the majority of cities is rather steady; nevertheless, a few cities continue to show limited decoupling stability, while the overall decoupling exhibits a more stable state. ③ The geographical main effect indicates that energy structure and energy intensity exert a considerable positive influence on the energy consumption decoupling index, but GDP per capita and population density have a notable negative impact on the energy consumption decoupling index. ④The spatial spillover effect indicates that a city's energy intensity adversely affects the energy consumption decoupling index of all adjacent regions, while the degree of openness to external influences positively impacts the energy consumption decoupling index of neighboring areas. This paper presents policy recommendations in four areas: differentiated energy management, specialized financial and technical support, enhancement of energy efficiency, and reinforcement of regional cooperation and exchange to achieve the decoupling of energy consumption from economic growth.

摘要

在“双碳”目标和向高质量经济转型的背景下,实现能源消费与经济增长的脱钩至关重要。本研究采用Tapio脱钩模型,调查了2006年至2021年中国282个地级市能源利用与经济发展的脱钩效应及时空动态。为全面评估影响能源脱钩的因素,基于扩展的STIRPAT模型构建了地理加权杜宾模型。研究结果表明:①各地区脱钩状态存在显著差异和变化,从“十一五”时期到“十四五”时期,处于弱脱钩状态的城市数量减少,众多城市呈现负增长脱钩状态。②多数城市的脱钩状态较为稳定;然而,少数城市的脱钩稳定性仍有限,总体脱钩呈现更稳定的状态。③地理主效应表明,能源结构和能源强度对能源消费脱钩指数有相当大的正向影响,但人均GDP和人口密度对能源消费脱钩指数有显著的负向影响。④空间溢出效应表明,一个城市的能源强度对所有相邻地区的能源消费脱钩指数有不利影响,而对外影响开放程度对相邻地区的能源消费脱钩指数有正向影响。本文从差异化能源管理、专业化金融和技术支持、提高能源效率以及加强区域合作与交流四个方面提出政策建议,以实现能源消费与经济增长的脱钩。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d04d/12378203/7443797c9978/41598_2025_16262_Fig1_HTML.jpg

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