Li Chengyu, Zhu Conghui, Wang Xueni, Ren Shuchang, Xu Pengrui, Xiang Haisheng
School of Economics & Management, Zhengzhou University of Light Industry, Zhengzhou, 450001, China.
International Education College, Henan University of Science & Technology, Luoyang, 471000, China.
Environ Sci Pollut Res Int. 2023 Apr;30(16):46336-46354. doi: 10.1007/s11356-023-25570-z. Epub 2023 Jan 31.
China's power sector must cut its carbon emissions by 90% by 2060 to become carbon neutral. Green finance, as a crucial link in sustainable development, is garnering attention for its role as a mechanism for the green transformation of power enterprises. The process of green transformation development is highly challenging and requires a lot of financial support. This paper discusses the design of schemes for fiscal and financial support mechanisms for the green transformation of power enterprises, financing mechanisms to strengthen green finance, and financial support mechanisms to promote carbon trading. The utilization of green finance by power enterprises is assessed after defining the impact routes of green finance on clean energy power firms and highly polluting power firms. Using the SBM-GML model with variable returns to scale, the dynamic change of the use efficiency of green finance in power enterprises is calculated. At the same time, the enterprises are classified by power generation methods, and the changes in the power generation structure of power enterprises are analyzed. Compared with 2014, the total power generation in 2021 increased by 59.14%, wind power generation increased by 170.78%, and photovoltaic power generation increased by 974.31%. Hydropower, by contrast, grew by 94.14% and thermal power by only 45.09%. The results show that the evolution of total factor productivity and green total factor productivity of the 24 listed electric power enterprises is "M" shaped, that the main cause of the fluctuation is the serious phenomenon of "Triple Abandonments" of wind, light, and water in China's power industry, and that the main means to improve total factor productivity and green total factor productivity of the power industry is to improve green power production technology. Classified by power generation mode, it is found that hybrid power generation enterprises have the highest average efficiency value, followed by wind power generation. China's power enterprises are still dominated by thermal power generation; before the "Double Carbon" target, green power generation enterprises have not significantly improved the efficiency of green finance. The series of green finance mechanisms of action described in this study have a beneficial impact on the green transition of energy, according to a predictive analysis that combines existing policy objectives and practical mechanisms. Even without green financial support, the composition of China's major clean energy sources will account for 86.85% of total electricity generation by 2060, while with green financial support, coal generation will fall to 0% around 2056, with hydroelectric, wind, and photovoltaic generation accounting for 11.81%, 50.00%, and 38.19% of electricity sources, respectively, and green finance will drive important technological changes, and the "Triple Abandonments" phenomenon will be fundamentally corrected. Finally, countermeasures and suggestions for the healthy development of green finance in power enterprises are proposed based on the findings of the study.
中国电力行业必须在2060年前将其碳排放削减90%,以实现碳中和。绿色金融作为可持续发展的关键环节,因其在电力企业绿色转型中所起的作用而受到关注。绿色转型发展过程极具挑战性,需要大量资金支持。本文探讨了电力企业绿色转型的财政和金融支持机制方案设计、强化绿色金融的融资机制以及促进碳交易的金融支持机制。在明确绿色金融对清洁能源电力企业和高污染电力企业的影响路径后,评估了电力企业对绿色金融的利用情况。运用具有规模报酬可变的SBM-GML模型,计算了电力企业绿色金融使用效率的动态变化。同时,按发电方式对企业进行分类,分析了电力企业发电结构的变化。与2014年相比,2021年总发电量增长了59.14%,风力发电量增长了170.78%,光伏发电量增长了974.31%。相比之下,水力发电量增长了94.14%,火力发电量仅增长了45.09%。结果表明,24家上市电力企业的全要素生产率和绿色全要素生产率的演变呈“M”形,波动的主要原因是中国电力行业存在严重风电、光电、水电“三弃”现象,提高电力行业全要素生产率和绿色全要素生产率的主要手段是提高绿色电力生产技术。按发电方式分类发现,混合发电企业平均效率值最高,其次是风力发电企业。中国电力企业仍以火力发电为主;在“双碳”目标之前,绿色发电企业的绿色金融效率没有显著提高。结合现有政策目标和实际机制的预测分析表明,本研究中描述的一系列绿色金融作用机制对能源绿色转型具有有益影响。即使没有绿色金融支持,到2060年中国主要清洁能源的构成将占总发电量的86.85%,而在绿色金融支持下,煤炭发电量将在2056年左右降至0%,水电、风电和光伏发电分别占电源的11.81%、50.00%和38.19%,绿色金融将推动重大技术变革,“三弃”现象将从根本上得到纠正。最后,根据研究结果,提出了促进电力企业绿色金融健康发展的对策建议。