基于因子分析法和熵值法的我国可再生能源配额分配研究

Research on China's Renewable Energy Quota Distribution Based on Factor Analysis and Entropy Method

摘要:

针对我国能源结构复杂且存在资源分配不均衡的现象,国家出台可再生能源配额制相关政策,所以可再生能源配额指标分配问题成为热点。本文基于因子分析法和熵值法以省级为单位建立可再生能源配额分配模型,确定资源禀赋、经济水平、输电能力及环保意识四个指标对模型的影响程度,采集大量相关信息和数据,运算得到配额分配指标权重和各省相应的配额指标值,最后在分析我国各省区实际情况的基础上利用spss软件做实证分析,给出合理的可再生能源配额分配目标和建议,从而促进可再生能源发展。

关键词:可再生能源;指标分配;因子分析;熵值法;权重

Abstract:

In view of the complexity of China"s energy structure and the imbalance of resource allocation, the state has introduced policies on renewable energy quotas, so the issue of renewable energy quota allocation has become a hot issue. Based on factor analysis and entropy method, this paper establishes a renewable energy quota allocation model at the provincial level, and determines the influence degree of resource endowment, economic level, transmission capacity and environmental awareness on the model, and collects a large amount of relevant information and data. The calculation obtains the weight of the quota allocation index and the corresponding quota index value of each province. Finally, based on the analysis of the actual situation of each province and region in China, the spss software is used for empirical analysis, and the reasonable renewable energy quota allocation goals and suggestions are given to promote the development of renewable energy.

Key words:renewable energy; indicator allocation; factor analysis; entropy method; weight