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基于RAGA-PP模型的中国产业结构低碳优化研究 被引量:12

Research on Low Carbon Optimization Evaluation of China’s Industrial Structure Based on RAGA-PP Model
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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。 Based on the theory of low-carbon economy and industrial structure optimization, believing that technological innovation, industrial symbiosis, energy structure and environmental regulation drive low-carbon optimization of industrial structure, an evaluation index system is constructed from three aspects of industrial structure advancement, rationalization and ecologicalization, thereby constructing a realization mechanism model of low-carbon optimization of industrial structure. The Projection Pursuit model ( PP) based on Real Coded Accelerating Genetic Algorithm ( RAGA) is used to evaluate comprehensively 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.
作者 孙丽文 王丹涪 赵鹏 韩莹 Sun Liwen;Wang Danfu;Zhao Peng;Han Ying(School of Economics and Management,Hebei University of Technology,Tianjin 300401,China)
出处 《科技管理研究》 CSSCI 北大核心 2019年第12期222-229,共8页 Science and Technology Management Research
基金 河北省社会科学基金项目“低碳经济背景下我省工业绿色转型进程及发展路径研究”(HB18YZ021)
关键词 低碳经济 产业结构优化 投影寻踪模型 加速遗传算法 low-carbon economy industrial structure optimization projection pursuit model real coded accelerating ge netic algorithm
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