基于RAGA-PP模型的中国产业结构低碳优化研究

Research on Low Carbon Optimization Evaluation of China"s Industrial Structure Based on RAGA-PP Model

摘要:

以低碳经济和产业结构优化相关理论为基础,认为技术创新、产业共生、能源结构和环境规制驱动产业结构低碳优化,由此构建产业结构低碳优化的实现机理模型,并从产业结构高度化、合理化、生态化三个方面构建评价指标体系,利用基于加速遗传算法(RAGA)的投影寻踪模型(PP)从时、空两个维度综合评价中国产业结构低碳优化水平,据此给出提升产业结构低碳优化水平的对策建议。

Abstract:

Based on the theory of low-carbon economy and industrial structure optimization, it is believed that technological innovation, industrial symbiosis, energy structure and environmental regulation drive low-carbon optimization of industrial structure, thereby constructing a realization mechanism model of low-carbon optimization of industrial structure, and the evaluation index system is constructed from three aspects of industrial structure advancement,rationalization and ecologicalization. The Projection Pursuit model (PP) based on Real Coded Accelerating Genetic Algorithm (RAGA) is used to comprehensively evaluate the low-carbon optimization level of China"s industrial structure from the two dimensions of time and space. Accordingly, some suggestions are given to improve the low-carbon optimization level of industrial structure.