Guangyu Wang

Environmental protection policies are an important manifestation of national development and the maintenance of the community of human destiny, and China’s environmental protection policies are of great significance to the environment, people’s livelihoods, and even the environmental protection strategies of developing countries around the world. However, the evolution pattern of China’s environmental protection policies at this stage is not clear. In this paper, the LDA model is used to mine the text data of policy documents, trying to find the evolution law of China’s environmental policy in different stages. The study found: (1) Through keyword statistics, environmental protection policies focus on “ecological pollution”, “water pollution”, “enterprise production”, “supervision and management” and other aspects. (2) The focus of environmental policies shifts over time from “mineral resources” to “petroleum resources” to “ecological resources”. (3) In the future, “green agriculture” and “water pollution penalties” will receive more policy support. The results of the above study are expected to provide reference value for relevant scholars, enterprises, and governmental environmental protection departments.

The digital economy plays an important role in promoting regional green innovation. Based on the panel data of 30 provincial administrative regions in mainland China (except Tibet) from 2011 to 2018, this paper constructs a comprehensive development index of the digital economy and explores the potential path of the digital economy affecting regional green innovation through factor analysis and regression analysis. The results show the following: Firstly, the digital economy can effectively promote regional green innovation capability. The causal relationship is mainly realized through scientific research funds and human resources. Secondly, in terms of regional heterogeneity, the role of the digital economy in promoting green innovation and R&D investment in eastern China is stronger than that in central and western China. Thirdly, further analysis showed that the digital economy has a significant nonlinear influence on regional green innovation capability. This feature is mainly reflected in the influence of R&D personnel on regional green innovation. Therefore, the rational allocation of R&D resources is conducive to the development of regional green innovation. Finally, it is suggested to improve the two mechanisms of R&D funds and personnel investment to actuate regional green innovation development.