长江流域资源与环境 >> 2025, Vol. 34 >> Issue (12): 2795-.doi: 10.11870/cjlyzyyhj202512014

• 生态环境 • 上一篇    下一篇

长江经济带减污降碳扩绿增长协同效应与影响因素分析

郑辉,谷瑞娜   

  1. (天津科技大学 经济与管理学院,天津 300222)
  • 出版日期:2025-12-20 发布日期:2025-12-25

Synergistic Effects and Influencing Factors of Pollution-Carbon Reduction and Green Growth Synergy in the Yangtze River Economic Belt

ZHENG Hui, GU Rui-na   

  1. (School of Economics and Management, Tianjin University of Science and Technology, Tianjin 300222, China)
  • Online:2025-12-20 Published:2025-12-25

摘要: 推动减污降碳扩绿增长协同发展是长江经济带实现可持续高质量发展的关键举措。基于2011~2022年长江经济带11个省市的面板数据,构建减污降碳扩绿增长评价指标体系,通过扩充的测算模型、地理探测器模型、时空地理加权回归模型探究区域减污降碳扩绿增长的协同效应及其影响因素的时空异质性,结果表明:(1)长江经济带的减污降碳扩绿增长协同发展水平为波动上升趋势,区域协同机制正在逐步发挥作用。(2)研发强度、产业结构、能源强度、外商投资四个因素共同构建了长江经济带环境与经济协同发展的关键框架。(3)能源强度与研发强度的作用力大于产业结构和外商投资,下游地区研发强度和外商投资的负向效应更为突出。(4)区域整体上研发强度效应持续提升,产业结构系数表现为倒“U”型,能源强度效应缺乏稳定性,外商投资当前作用不佳。未来各地应根据自身的资源禀赋和发展阶段,发挥优势领域,并利用跨区域合作机制,全面促进环境与经济发展建设平衡。

Abstract: Promoting the integrated development of carbonreduction, pollution reduction, green expansion, and economic growth is essential for achieving sustainable high-quality development in the Yangtze River Economic Belt (YREB). A multidimensional evaluation framework integrating these dimensions was developed using panel data from 11 provincial regions (2011-2022). Through integrated application of extended measurement model, geographic detector model, and spatiotemporal geographically weighted regression (GTWR), the synergistic effects and spatial-temporal heterogeneity of the influencing factors were systematically investigated. The results indicated: (1) The synergistic development levelof pollution reduction, carbon mitigation, vegetation expansion, and economic growth in the YREB exhibited a fluctuating upward trajectory, with the regional collaborative development mechanisms progressively exerting their effects.(2) Four pivotalfactors, including R&D intensity, industrial structure, energy intensity, and foreign investment, collectively established the critical framework for coordinating environmental and economic development in this region. (3) Energy intensity and R&D intensity exerted stronger influences than industrial structure and foreign investment, while downstream regions exhibited more pronounced negative effects from R&D intensity and foreign investment. (4) Region-wide analysis revealed sustained enhancement of R&D intensity effects, an inverted "U" pattern in industrial structure coefficients, unstable energy intensity effects, and underperforming foreign investment contributions.Moving forward, it is recommended that regions leverage their respective resource endowments and development stages, capitalize on their strengths, and enhance cross-regional cooperation mechanisms to comprehensively promote a balanced development between environmental protection and economic growth.

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