智慧城市建设与高耗能企业碳减排绩效：内在机制与经验证据

Smart City Construction and Carbon Emission Reduction Performance of Energy-Consuming Enterprises: Intrinsic Mechanisms and Empirical Evidence

摘要: 智慧城市建设作为促进城市智慧产业群集和产业转型升级的有力保障，为实体经济赋能的重要性日益凸显。基于2010~2020年我国智慧城市试点地级市内250家高耗能企业样本的面板数据，运用多期DID模型和PSM-DID模型实证检验了智慧城市试点政策对高耗能企业碳减排绩效的影响。研究结果表明：智慧城市试点建设有利于地级市内高耗能企业碳减排绩效的提高，且在政策实施前三年促进作用较高，该结论在一系列稳健性检验后依然成立。机制检验表明，技术创新在智慧城市试点政策对高耗能企业碳减排绩效的影响中起到了部分中介效应，中介效应占比为6.7%。异质性分析发现，国有高耗能企业受智慧城市试点政策的影响更大，其政策效应的估计系数高于非国有高耗能企业；所在省份环境规制越强，高耗能企业碳减排绩效的政策效应估计系数就越大，政策的影响幅度越高。

Abstract: The significance of smart city construction as a powerful guarantee to promote urban smart indus-try clustering and industrial transformation and upgrading to empower the real economy has been increasingly highlighted. Based on the panel data of a sample of 250 energy-intensive enterprises within prefecture-level cities of smart cities in China from 2010 to 2020, the impact of smart city pilot policies on the carbon emission reduction performance of energy-intensive enterprises is em-pirically examined using a multi-period DID model and a PSM-DID model. The findings show that the smart city pilot construction is conducive to the improvement of carbon emission reduction performance of high energy-consuming enterprises within prefecture-level cities, and the promo-tion effect is higher in the first three years of policy implementation, and this finding still holds after a series of robustness tests. The mechanism test shows that technological innovation plays a partial mediating effect in the impact of the smart city pilot policy on the carbon emission reduction per-formance of high energy-consuming enterprises, with the mediating effect accounting for 6.7%. The heterogeneity analysis found that state-owned high energy-consuming enterprises were more in-fluenced by the smart city pilot policy, and the estimated coefficient of its policy effect was higher than that of non-state-owned high energy-consuming enterprises; the stronger the environmental regulation in the province where they were located, the larger the estimated coefficient of the policy effect on the carbon emission reduction performance of high energy-consuming enterprises, and the higher the magnitude of the policy’s influence.