Research on the Effect of Low-Carbon Education on Residents by the Chinese Government

Abstract

The low carbon living of residents is important for China to achieve the “double carbon goal.” This paper uses the natural language processing technique in machine learning to collect data from 2005 to 2020, constructs the government’s “green will” index and residents’ low-carbon life index, and conducts an empirical study through a static panel model and a dynamic panel model. The study shows that: (a) all cities in the Yangtze River Delta pay more and more attention to low-carbon publicity, but there are individual differences in the degree of attention; (b) in general, the government’s willingness to go green does drive residents to develop a low-carbon life; (c) affluence and human capital growth are positively related to the effect of government low-carbon publicity. Accordingly, the following measures are proposed: increase the government’s low-carbon publicity efforts, deepen education reform, attract high-end talents, strengthen scientific and technological innovation, promote new urbanization, and reduce the marginal cost of carbon emissions.