The results suggest significant long-run and short-run relationships among the study variables. We also used the Johansen cointegration technique to verify the results of bound testing. To check cointegration and long-run/short-run dynamics, this study uses Autoregressive Distributed Lag (ARDL) model, which can predict the actual positive and negative change in the independent variables and their effects on the dependent variable. In China’s case, no such studies investigate the role of renewable energy as a dependent variable in globalization, financial development, and environmental quality. Promoting renewable energy is crucial for solving global environmental problems. This research article examines the dynamic impact of globalization, environmental quality, and financial development on renewable energy in China. 4School of Management and Economics, Beijing Institute of Technology, Beijing, China.3Hailey College of Banking and Finance, University of the Punjab, Lahore, Pakistan.
2Faculty of Economic Sciences, University of Warsaw, Warsaw, Poland.1School of Management, Jiangsu University, Zhenjiang, China.Li Mingxing 1 Muhammad Saeed Ashraf 1* Ma Zhiqiang 1 Rana Umair Ashraf 2 Muhammad Usman 3 Irfan Khan 4
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