数据包络分析
马尔奎斯特指数
风力发电
利润(经济学)
产业组织
价值链
变量(数学)
运筹学
计算机科学
环境经济学
计量经济学
工业工程
经济
业务
供应链
数学优化
数学
工程类
微观经济学
营销
数学分析
宏观经济学
全要素生产率
电气工程
生产力
作者
Jicheng Liu,Yuanyuan Li,Suli Yan
摘要
After the rapid development of China's wind power industry, the lack of core technology and the mismatch between the expansion and development speed have become increasingly prominent. In order to correctly understand the current situation and problems, the whole research process is divided into the following four steps. The first step takes the profit rate of main business from 2017 to 2019 as sample variable to study the smile pattern of the wind power industry value chain. The second step takes the Principal Component Analysis as the research method, and the evaluation index system is constructed, so as to further analyze the value-added driving factors. The third step uses the Data Envelopment Analysis (DEA) and Malmquist model as evaluation methods, and the static and dynamic efficiencies of each value chain link are evaluated, respectively. In step four, the selected companies are effectively clustered with the Cluster Analysis. The results show that the value chain shows a gradual deepening smile, the overall value-added efficiency is not ideal, and there are specific problems in each link. This paper aims to provide reference for enterprises to make targeted improvement on the basis of analyzing the current situation. It also provides reference for the comparison and promotion of other countries.
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