In order to address a series of issues, including energy security, global warming, and environmental protection, China has ranked first in global renewable investment for the seventh consecutive year. However, developing a renewable energy industry requires a significant capital investment. Also, the international oil price fluctuations have an important impact on the stock prices of renewable energy firms. Thus, in order to provide implications for market investment as well as policy recommendations, this paper studied the spillover effect of international oil prices on the stock prices of China’s renewable energy listed companies. We used a Vector Autoregressive (VAR) model with innovations using a Factor-GARCH (Generalized Autoregressive Conditional Heteroskedasticity) process to evaluate the impact of market co-movements and time-varying volatility and correlation between the international oil price and China’s renewable energy market. The results show that the international oil price has a significant price spillover effect on the stock prices of China’s renewable energy listed companies. Moreover, the fluctuations of international oil prices have an influence on the stock price variations of Chinese renewable energy listed companies.

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Over the past 40 years of reform and opening-up, China has achieved rapid economic and technological growth at the cost of severe air pollution. The emerging Fintech, as the result of financial institutions’ adapting to the latest digital technology, might be a solution to reduce air pollution. This paper investigates the impact of Fintech development on air pollution using a two-factor fixed effects model based on data for prefecture-level cities in China from 2011 to 2017. The findings show that Fintech development can effectively reduce air pollution emissions, and this conclusion is proved to be robust throughout a series of tests. The mechanism analysis shows that Fintech reduces air pollution by promoting digital finance and green innovation.

China's renewable energy industry has developed rapidly. However, due to China's current energy structure, coal plants still dominate the power generation, which poses a huge challenge to China's greenhouse gas reduction. On the other hand, this situation indicates that China's renewable industry still has great development potential and the sector can make a constructive contribution to China's response to climate change. However, in the process of developing the renewable sector, how to improve the profitability of enterprises and gradually lower the dependence on traditional energy is an important issue faced by corporate and government decision-makers. Therefore, from the perspective of capital structure, this paper aims to study its impact on the performance of renewable companies in China so that the society can achieve a "win-win" situation for enterprise development as well as environmental protection. By using pooled ordinary least squares and advanced panel data models, including fixed effects model and random effects model, the empirical results show that the relationship between capital structure and company performance is statistically significant in China's renewable industry. Specifically, the sustainable growth rate is significantly positively correlated with the total net profit margin, indicating that the sustainable growth model can be used to estimate the profitability of renewable companies in China.