Research on the financing efficiency evaluation of listed companies in the new energy industry based on DEA model

Xinyi Zhang, Xiandou Wu, Tingting Xu, Tong Ye, Enze Cui
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Abstract

New energy pollutants, with low emission and high performance, is the cornerstone of the future energy of human society; vigorously developing new energy is of great significance to the sustainable and high-quality development of China's economy. The level of financing efficiency directly determines the survival and development of enterprises. The characteristics of long return period of investment, high investment risk and large capital demand in the new energy industry cause a series of problems, such as limited financing and difficult to effectively measure the evaluation of financing efficiency. In-depth and systematic research and evaluation of the financing efficiency of new energy enterprises is of great significance to the improvement of the financing quality of the new energy industry and the high-quality development of the new energy industry. This project is based on the evaluation of the financing efficiency of listed companies in China's new energy industry based on the data envelope analysis model (DEA). After related concept definition and theoretical basic research, build the DEA financing efficiency evaluation index system, with technical efficiency value of new energy industry of listed companies financing efficiency, the new energy financing efficiency contrast between enterprises in different industries, finally form the final conclusion, for the new energy industry financing efficiency of listed companies put forward feasibility Suggestions.
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基于DEA模型的新能源产业上市公司融资效率评价研究
低排放、高性能的新能源污染物是人类社会未来能源的基石,大力发展新能源对我国经济可持续、高质量发展具有重要意义。融资效率的高低直接决定了企业的生存和发展。新能源产业投资回报周期长、投资风险高、资金需求量大的特点,造成了融资受限、融资效率评价难以有效衡量等一系列问题。深入系统地研究和评价新能源企业的融资效率,对提高新能源产业融资质量、促进新能源产业高质量发展具有重要意义。本项目基于数据包络分析模型(DEA)对我国新能源产业上市公司融资效率进行评价。经过相关概念界定和理论基础研究,构建DEA融资效率评价指标体系,以技术效率值对新能源产业上市公司融资效率进行评价,对不同行业企业的新能源融资效率进行对比,最终形成最终结论,为新能源产业上市公司融资效率提出可行性建议。
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