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首页> 外文期刊>Complexity >Can Smart City Policy Facilitate the Low-Carbon Economy in China? A Quasi-Natural Experiment Based on Pilot City
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Can Smart City Policy Facilitate the Low-Carbon Economy in China? A Quasi-Natural Experiment Based on Pilot City

机译：智能城市政策可以促进中国低碳经济吗？ 基于试点城的准自然实验

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This paper studies the impact of the implementation of smart city policy (SCP) on the development of low-carbon economy (LCE) in China. For this purpose, we developed a nonconvex meta-frontier data envelopment analysis (DEA) approach to measure LCE and used the differences-in-difference (DID) analysis method in the econometric model to empirically analyze the impact of SCP on LCE, using the dataset of 230 cities from 2005 to 2018. The results show that the implementation of SCP can significantly improve the LCE of cities, and the dynamic effect test presents that the promotion of smart cities to low-carbon economy increases with time. In addition, SCP promotes the development of LCE by optimizing government functions and improving the efficiency of governance and the degree of implementation openness. But there is heterogeneity between different cities as follows: the implementation of SCP has a more significant effect on the promotion of LCE in central and western regions in China and large-scale cities and cities without strict environmental protection planning. Finally, the robustness test verifies the reliability of the experimental data again and puts forward conclusions and policy recommendations.
机译：本文研究了智能城市政策（SCP）实施对中国低碳经济（LCE）的影响。为此目的，我们开发了一个非透露的元前沿数据包络分析（DEA）方法来测量LCE，并利用经济学模型中的差异差异（DID）分析方法，以凭经验分析SCP对LCE的影响，使用该方法2005年至2018年的230个城市数据集表明，SCP的实施可以显着改善城市的LCE，动态效应试验表明，智能城市推广到低碳经济随着时间的推移而增加。此外，SCP通过优化政府职能，提高治理效率和实施开放程度，促进LCE的发展。但不同城市之间存在异质性，如下所示：SCP的实施对中国和西部地区的LCE促进了中国和大型城市和城市，而无需严格的环境保护规划。最后，稳健性测试再次验证了实验数据的可靠性，并提出了结论和政策建议。

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