本文以中国评定智慧城市为例,运用渐进式双重差分模型实证研究智慧 城市建设对减少碳排放的影响。基准回归结果表明,“智慧城市”的试点具有显著 的碳排放控制效应,多种稳健性检验的结果也再次印证了本文的结论。动态分析表 明,智慧城市的碳排放控制效应具有较长的政策时滞,大约到第三年政策的生态效 应逐渐显现。中介效应模型表明,智慧城市通过促进城市技术创新和高新技术产业 集聚进而削弱城市碳排放水平。调节效应模型表明,政府的环境规制行为强化了智 慧城市的碳排放控制效应,经济逐步转向高质量发展尚未对城市碳排放起到调节作 用。空间杜宾模型表明智慧城市的碳排放控制效应具有空间溢出性。本文的研究对 发展中国家解决城市化与低碳发展之间的矛盾具有参考价值,对发展中国家如何实 现低碳发展、发达国家进一步降低碳排放量具有借鉴意义,对于应对全球气候危机 也具有重要的现实意义。
Taking China’s evaluation of smart city policies as an example, this paper uses a progressive difference-in-differences (DID) model to analyze the influence of smart city on urban carbon emissions to explore the specific influence of new urbanization models on the ecological environment. The empirical results show that the construction of smart cities significantly curbs urban carbon emissions, and the results of various robustness tests confirm the conclusions of this paper as well. Dynamic analysis shows that the carbon emission control effect of smart cities has a long policy lag, and the policy effect gradually becomes apparent in about the third year. Action mechanism analysis shows that the smart city construction policy can inhibit urban carbon emissions by promoting urban technological innovation and high-tech industry agglomeration. Moderating effect indicates that government environmental regulations has strengthened the carbon emission control effect of smart cities, and the slowdown in economic growth has not yet had an inhibiting effect on carbon emissions. The spatial Durbin model (SDM) indicates that the carbon emission control effect of smart cities has spatial spillover effects. The research in this article has references for developing countries to solve the contradiction between urbanization and low-carbon development, and has important references for developing countries to achieve low-carbon development and developed countries to further reduce carbon emissions. It also has important practical significance for responding to the global climate crisis.