【摘要】 发展清洁能源是实现碳达峰碳中和目标的重要路径，但尚待从时空交互视角系统明晰清洁能源碳减排效应的作用机制、各自贡献及其区域差异。本文将可拓展的随机性的环境影响评估模型、动态空间杜宾模型和中介效应模型相结合，实证检验了清洁能源的碳减排效应及其三大作用机制，包括时空交互效应与区域差异。结果表明：清洁能源发展具有显著碳减排效应，且呈现动态空间交互特征；短期内主要通过结构效应实现碳减排，长期内则需要警惕生产规模扩张带来更多资源消耗；同时，技术效应作用机制受阻。清洁能源发展的碳减排效应在西部地区表现最佳，且主要通过规模效应和结构效应实现长期碳减排；东部地区则主要通过结构效应推动短期碳减排；而中部地区三大作用机制均受阻。更多还原

【Abstract】 Developing clean energy is an important pathway to achieving the “dual carbon” goals. However,it remains necessary to systematically clarify the mechanisms of carbon reduction effects of clean energy from the perspective of spatiotemporal interactions, as well as their contributions and regional differences. By combining the stochastic impacts by regression on population,affluence, and technology model, dynamic spatial Durbin model, and mediation model, this paper empirically tests the carbon reduction effects of clean energy and the associated three main mechanisms, including spatiotemporal interaction effects and regional differences. The results indicate that the development of clean energy has a significant carbon reduction effect, with dynamic spatial interaction characteristics. In the short term, carbon emission reduction is mainly achieved through the structural effect, while in the long term, more resource consumption caused by production scale expansion should be avoided. In addition, the mechanism of the technological effect is hindered. The carbon emission reduction effect of clean energy development is most pronounced in the western region of China, primarily achieved through the scale effect and the structural effect to drive long-term decarbonization. In the eastern region, carbon reduction is mainly achieved through the structural effect in the short term. In the central region, all of the three mechanisms are hindered.更多还原