Abstract: The present paper constructs an evaluation index system to measure the development level of the digital economy, and then measures the provincial manufacturing carbon emission efficiency based on the MinDS model of global benchmark technology. Then, the present paper empirically tests the impact of the digital economy on China's manufacturing carbon emission efficiency, and conducts a comparative analysis of the action paths. The present paper found that the development level of China's digital economy tends to rise during the survey period. But there is a significant digital divide, which is reflected in the high development level of the eastern region, while the development of the central and western regions is relatively low. The carbon emission efficiency of China's manufacturing shows a upward trend, and presents a spatial pattern of gradual decline from east to west. The digital economy has a significant U-shaped nonlinear impact on the carbon emission efficiency of manufacturing, supporting the hypothesis of EKC. The path test results show that the labor efficiency enhancement effect and the energy factor saving effect are two feasible paths to play the digital carbon reduction effect, and the latter has a relatively greater carbon reduction effect.

摘要： 本文构建评价指标体系对2011-2020年中国数字经济发展水平进行测算，然后基于全局基准技术的MinDS模型，对省际制造业碳排放效率进行测度，进而就数字经济对中国制造业碳排放效率的影响效应进行实证检验，并对作用路径进行比较分析。研究发现，考察期内中国数字经济发展水平趋于上升，但存在显著的数字鸿沟现象，表现为东部地区发展水平较高，而中西部地区发展相对落后；中国制造业碳排放效率呈现逐年上升的演进趋势和“由东向西、梯度递减”的空间格局；数字经济对制造业碳排放效率具有显著的“U形”非线性影响，支持“环境库兹涅茨曲线”假说。路径检验结果表明，“数字经济发展—劳动生产率提升—制造业碳排放效率提高”的劳动效率增进效应，以及“数字经济发展—能源强度降低—制造业碳排放效率提高”的能源要素节约效应，是发挥“数字降碳”效应的两条可行路径，并且后者的降碳效应更加明显。