Based on the panel data of 285 cities in China from 2000 to 2019, this paper searches the number of patent applications related to urban artificial intelligence from five dimensions: algorithm, data, computing power, application scenario and related technology. Combining the two perspectives of industrial upgrading and rationalization, we analyze the internal influence theory of the research topic from the theoretical and empirical perspectives. The results show that artificial intelligence is not only conducive to industrial upgrading, but also significantly inhibit the deviation of industrial structure from equilibrium, which is conducive to industrial rationalization. In addition, the conclusion of this paper is still valid after a series of robustness tests, such as eliminating the samples of central cities, winsorize treatment and instrumental variables method. Through the heterogeneity test, it is found that the promoting effect of artificial intelligence on industrial upgrading is more obvious in big cities and cities with high level of industrial upgrading. The internal mechanism test results show that artificial intelligence promotes industrial upgrading by promoting technological innovation. In cities with a high degree of marketization and Internet development, the role of artificial intelligence in promoting industrial upgrading can be strengthened. The research conclusions of this paper will be conducive to accelerating the development of artificial intelligence to promote industrial upgrading, and provide a useful reference for realizing high-quality development.

The low efficiency of environmental policy implementation is an important issue in China’s environmental governance. The Environmental Protection Interview (EPI) policy is an administrative means for the central environmental protection department to urge local governments to earnestly fulfill their environmental protection responsibilities. This paper takes China’s EPI policy as a quasi-natural experiment. We use panel data of 261 prefecture-level cities in China from 2009 to 2018 as research sample and use spatial difference-in-differences (SDID) model to investigate the effect and mechanism of EPI policy on air pollution. The results show that EPI policy can effectively improve air quality, EPI policy has obvious spatial spillover effects. Namely, the EPI policy can not only reduce the local air pollution, but also reduce the air pollution in neighbouring cities. The EPI policy reduces the air pollution in the neighbouring cities within a spatial attenuation boundary of 400 km.The results of mechanism test show that the EPI policy can improve air quality by promoting industrial structure upgrading and technical advancement. Moreover, the pollution reduction effect of EPI is more significant in resource-based cities. The research results of this paper provide important reference for China and other developing countries to improve air quality.