The impact and transmission mechanism of green credit policy on energy efficiency: new evidence from China.

Green credit policy is the primary means for financial institutions to fulfill their environmental responsibilities. It is an issue worthy of attention whether green credit policy can achieve the effect of energy conservation, efficiency improvement, pollution reduction, and carbon reduction. This study uses the difference-in-difference method to test the impact of green credit policy on energy efficiency. The results show that green credit policy led to a significant decrease in energy intensity of green credit-restricted sectors while impeding the advancement of green total factor energy efficiency. The heterogeneity results show that the energy efficiency of large-scale, light textile manufacturing, resource processing industries, and clean industries are more significantly affected. Green credit policy can achieve energy conservation and has a linkage effect on pollution and carbon reduction. Although the constraint effect of green credit policy has effectively suppressed energy intensity, it also leads some industries to face a vicious cycle of "enhanced financing constraints-weakened innovation impetus," which in turn makes it challenging to improve green total factor energy efficiency. The above findings confirm the effectiveness of green credit policy in energy conservation and emission reduction. Also, they indicate the necessity of further improvement of the green financial policy system.

The Impact of Environmental Regulations on Pollution and Carbon Reduction in the Yellow River Basin, China.

Based on data from 69 cities in the Yellow River Basin from 2006-2018, this paper examines the impact of environmental regulations on the integrated management of air pollution and CO2 emissions and its mechanism of action using a two-way stationary model. The results found that: (1) The impact of environmental regulations on air pollution and CO2 emissions in the Yellow River Basin has an inverted U-shaped trend, the intensity of regulation is still on the left side of the inverted U-shaped curve, and the inflection point has not yet appeared. (2) Environmental regulations suppressed air pollution and CO2 emissions by adjusting industrial structure, promoting technological innovation, and improving energy efficiency, but the current intensity of regulation is not sufficient to make the three paths fully effective. (3) The pollution and carbon reduction effects of environmental regulations are more significant in areas with higher marketization and resource dependence, national urban agglomerations, and the middle reaches of the Yellow River Basin. However, environmental regulations in other regions only show significant pollution reduction effects, and there is still more room for improving carbon reduction governance. Therefore, the Yellow River Basin should strengthen environmental regulations to promote ecological governance and high-quality development.

Modeling and simulation analysis of vehicle pollution and carbon reduction management model based on system dynamics.

The vehicle exhaust pollution has become an important source of air pollutant and CO2 emissions, with the continuous growth of the number of vehicles. Focusing on the increasingly serious problems of vehicle exhaust pollution and CO2 emissions, a management model of vehicle pollution reduction and carbon reduction was established by using system dynamics. Taking Beijing as the case study city, different emission reduction scenarios were designed. Different scenarios are analyzed, and the results reveal the following: (1) Although the carbon tax policy for motor vehicles can play a role in vehicle pollution reduction and carbon reduction to a certain extent, but as the simulation time goes on, the policy effect is gradually weakened. The emission reduction effect of new energy vehicle promotion policy is not significant, and there is a "lag effect" and a "seesaw effect." (2) The science and technology policy has multiple effects of environmental, economic, and health. It can significantly reduce vehicle pollution and carbon emissions, and achieve the peak carbon by 2030. (3) It is not that more policies are better for CO2 emission reduction, and there is a "crowding out effect" in the CS. (4) From the perspectives of long term, the science and technology policy is a more effective way to achieve the co-control of CO2 and PM2.5 and achieve the carbon peaking goal compared with other emission reduction scenarios. These results can provide reference for relevant departments to formulate emission reduction policies and realize the management of motor vehicle pollution reduction and carbon reduction.