OLS-Based Research on the Impact of Green Finance on Green Development——Taking Beijing as an Example
DOI:
https://doi.org/10.54097/hbem.v21i.14380Keywords:
Green credit policy, Environmental regulation, green development, Green Finance.Abstract
The Green Credit Policy (GCP) and the Green Finance have brought tremendous influence to the promotion of industry. Green development is an approach to economic growth that considers both economic benefits and environmental protection, but because it requires significant investment to build a green industry, the recovery process is time-consuming and fraught with risk, so there is insufficient incentive for urban green development. Through specialized financing services for environmental protection firms and high-polluting companies, green finance may support the green transformation of high-polluting enterprises. This paper uses OLS estimation to evaluate the Green Development effect of GCP. Green development is significantly impacted by GCP. And Green Financial Level(gfl)’s index has a strong positive covariance with Green Development Level(gdl). Based on these results, we suggest that: The Chinese Government should promote GCP and make further efforts to perfect our industrial structure. Nations, including China, are actively promoting green finance to foster sustainable economic growth and protect the environment. China's efforts in developing green finance are crucial for realizing its ecological civilization. Green finance is a key aspect of promoting sustainable development. It is hoped that the Chinese government will offer stronger support in this field by establishing effective systems and regulations. Encouraging more financial institutions to participate in green finance will ultimately lead to sustainable economic and environmental progress.
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References
Zhang, Shengling, Zihao Wu, Yao Wang, and Yu Hao. Fostering Green Development with Green Finance: An Empirical Study on the Environmental Effect of Green Credit Policy in China. Journal of environmental management. 2021, 296.
Han, Feng, Rui Xie, Jiayu Fang. Urban Agglomeration Economies and Industrial Energy Efficiency. Energy, 2018, 162: 45–59.
Kadoshin S., Nishiyama T. The trend in current and near future energy consumption from a statistical perspective. Appl. Energy, 2000, 67: 289–296.
Yuan, Huaxi, Yidai Feng, Chien-Chiang Lee, and Yan Cen. How Does Manufacturing Agglomeration Affect Green Economic Efficiency. Energy economics, 2020, 92: 104944.
Li, Pin, and Jin-Suo Zhang. A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and Xgboost. Energies (Basel), 2018, 7(11): 1687.
Wang, Qiang, Shuyu Li, and Rongrong Li. Forecasting Energy Demand in China and India: Using Single-Linear, Hybrid-Linear, and Non-Linear Time Series Forecast Techniques. Energy (Oxford), 2018, 161: 821–831.
Yuan, Chaoqing, Sifeng Liu, and Zhigeng Fang. Comparison of China’s Primary Energy Consumption Forecasting by Using ARIMA (the Autoregressive Integrated Moving Average) Model and GM(1,1) Model. Energy (Oxford), 2016, 100: 384–390.
He, Lingyun, Rongyan Liu, Zhangqi Zhong, Deqing Wang, and Yufei Xia. Can Green Financial Development Promote Renewable Energy Investment Efficiency? A Consideration of Bank Credit. Renewable energy, 2019, 143: 974–984.
He, Lingyun, Lihong Zhang, Zhangqi Zhong, Deqing Wang, and Feng Wang. “Green Credit, Renewable Energy Investment and Green Economy Development: Empirical Analysis Based on 150 Listed Companies of China.” Journal of cleaner production 2019, 208: 363–372.
Chunmei, Xiao, Haibi, Ma. Study on the Impact of Green Finance on Green Development. Journal of research on financial theories. 2023, 209.
Xu, Xinkuo, Li Jingsi. Asymmetric Impacts of the Policy and Development of Green Credit on the Debt Financing Cost and Maturity of Different Types of Enterprises in China. Journal of cleaner production, 2020, 264: 121574.
Fan Decheng, Zhang Xiufan. Effect analysis of green financial reform and innovation on carbon emission reduction of high-emission enterprises. Frontiers of Engineering Management Science and Technology, 2022, 41 (4): 5561
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