基于熵控原理的多目标第三产业结构优化模型——以北京市为例

发布时间：2018-02-21 09:20

本文关键词： 第三产业结构投资组合理论熵控原理投入产出表多目标优化遗传算法　出处：《中国管理科学》2017年09期 　论文类型：期刊论文

【摘要】："十三五"时期(2016-2020年)是全面建成小康社会的关键期,要求各地方政府摒弃"唯GDP论",以"新常态"的经济转型为基准,加大第三产业比重,从整体上提升我国产业竞争力。因此,如何有效且快速地完成我国经济结构的转型已受到人们的广泛关注。在该背景之下,本文以第三产业结构为研究主体,将投资组合理论及熵控原理引入产业结构优化问题中,建立了一种新型的多目标产业结构分析模型,选取北京市为研究对象,利用多目标Pareto遗传算法对模型进行求解,得出若干组投资比例组合。实证结果显示,相对于实际数据,模型所得结果在经济增长、能源消耗、碳排放量、就业人数及产业分布公平性方面均较优。
[Abstract]:The period of "13th Five-Year Plan" (2016-2020) is the key period for building a well-off society in an all-round way. Local governments are required to abandon the "GDP theory" and take the economic transformation of the "new normal" as a benchmark to increase the proportion of the tertiary industry. Therefore, how to effectively and quickly complete the transformation of China's economic structure has received extensive attention. Under this background, this paper takes the tertiary industry structure as the main body of research. This paper introduces the investment portfolio theory and entropy control theory into the industrial structure optimization problem, establishes a new multi-objective industrial structure analysis model, selects Beijing as the research object, and uses multi-objective Pareto genetic algorithm to solve the model. The empirical results show that compared with the actual data, the results of the model are better in terms of economic growth, energy consumption, carbon emissions, employment and the fairness of industrial distribution.
【作者单位】：中国科学院科技战略咨询研究院;中国科学院大学;
【基金】：国家自然科学基金资助项目(71573247,91024010,91324009) 中国科学院青年创新促进会项目(2014139)
【分类号】：F719

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