Wu Ting, Qiao Zhi
School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China.
School of Environmental Science and Engineering, Tianjin University, Tianjin, 300350, China.
Environ Pollut. 2025 May 1;372:126025. doi: 10.1016/j.envpol.2025.126025. Epub 2025 Mar 7.
Advancing the synergistic governance of urban heat island (UHI), energy consumption (EC), CO emissions and air pollution (collectively referred to as heat-energy-carbon-pollution, HECP) is essential for China's green transition. This study examined five representative indicators of HECP-namely, urban heat island intensity (UHII), EC, CO emissions, PM and O concentrations-using panel data from 269 prefecture-level cities in China from 2005 to 2020. The Spatial Durbin Model (SDM) was employed to identify the key drivers of HECP governance at both national and regional levels. Results indicated significant spatiotemporal disparities in UHII, EC, CO emissions, concentrations of PM and O, exhibiting a north-south gradient and pronounced intensities in eastern China. At the national level, energy structure (ES), population density (POP), and normalized difference vegetation index (NDVI) were identified as crucial determinants of HECP synergistic governance. Regional variations were also observed, particularly in eastern China, where industrial structure (IS) and POP played significant roles. Moreover, the spillover effects of these drivers were stronger than their direct effects, highlighting the necessity of interregional cooperation for effective HECP synergistic governance. Our findings underscore the need for a green energy transition, strategic population management, and expanded vegetation coverage. Furthermore, the study highlights the critical role of cross-regional collaboration in improving governance efficiency, offering empirical support for China's integrated environmental and climate policies.
推进城市热岛(UHI)、能源消耗(EC)、一氧化碳排放和空气污染(统称为热-能源-碳-污染,HECP)的协同治理对中国的绿色转型至关重要。本研究使用2005年至2020年中国269个地级市的面板数据,考察了HECP的五个代表性指标,即城市热岛强度(UHII)、能源消耗、一氧化碳排放、细颗粒物(PM)和臭氧(O)浓度。采用空间杜宾模型(SDM)来确定国家和区域层面HECP治理的关键驱动因素。结果表明,UHII、能源消耗、一氧化碳排放、PM和O浓度存在显著的时空差异,呈现出南北梯度,且在中国东部强度明显。在国家层面,能源结构(ES)、人口密度(POP)和归一化植被指数(NDVI)被确定为HECP协同治理的关键决定因素。区域差异也很明显,特别是在中国东部,产业结构(IS)和POP发挥了重要作用。此外,这些驱动因素的溢出效应强于其直接效应,凸显了区域间合作对有效进行HECP协同治理的必要性。我们的研究结果强调了绿色能源转型、战略人口管理和扩大植被覆盖的必要性。此外,该研究突出了跨区域合作在提高治理效率方面的关键作用,为中国的综合环境和气候政策提供了实证支持。