Population aging and carbon emissions: an empirical study of Shanghai and Guangzhou using regression analysis

From the current situation of demographic and industrial structure, China, as the largest CO2 emitter in the world, has an urgent need to reduce its emissions. Therefore, according to the demographic and consumption structure of China, the impact of carbon emissions on the independent variables was investigated using regression analysis based on the STIRPAT model. These findings indicate that, in Guangzhou, GDP growth and population aging have a favorable impact on CO2 emissions growth, whereas technology level has a somewhat negative impact.Shanghai's aging population, GDP, and technology level all have a positive effect on the growth of CO2 emissions. In the concluding section of this paper, different measures are considered for controlling carbon emissions in different regions, and the measures and policy recommendations combine the concepts of the "left-hand side strategy" and degrowth. Therefore, this paper suggests that it would be more appropriate to directly control carbon emissions by taxing and regulating them. Taxation and control of carbon emissions are more effective, and the two-child policy is also suggested as an effective way of controlling carbon dioxide emissions.