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深圳制造业高质量发展评价与策略研究——基于python实现多层次模糊综合评价法
引用本文:陈俊.深圳制造业高质量发展评价与策略研究——基于python实现多层次模糊综合评价法[J].南华大学学报(社会科学版),2020,21(1):62-70.
作者姓名:陈俊
作者单位:中共深圳市委党校 龙岗分校,广东 深圳518172
基金项目:国家社科基金年度项目“中国生产性资本外逃的动因、效应及对策研究”资助(编号:19BJL124);广东省党校(行政学院)系统哲学社会科学规划项目“粤港澳大湾区背景下广东省高技术制造业创新效率研究”资助(编号:19JJ03)
摘    要:基于深圳制造业高质量发展指标评价体系,利用python实现多层次模糊综合评价法来测算2012—2017年深圳制造业高质量发展综合评价总指数以及各分项指数。测算结果显示,十八大以来,深圳制造业高质量发展总指数曲折上升,但总体上仍处于中等质量发展阶段。分项指标来看:创新能力指数持续大幅度提升,总体水平较高;经济效益指数曲折上升,呈倒N形态势,总体水平略低;结构化指数受多重因素影响,波动幅度较大,总体水平略低;绿色低碳指数呈曲折快速提升,总体水平较高;国际竞争力指数不断上升,但总体水平低于总指数;社会贡献指数受双重因素影响,呈先降后升态势,拉低总指数。最后,根据实证分析结果,试提出推动制造业高质量发展五点建议。

关 键 词:高质量发展  指标评价体系  多层次模糊综合评价法  制造业
收稿时间:2019/11/13 0:00:00

Research on Evaluation and Strategy of High Quality Development of Shenzhen Manufacturing Industry
CHEN Jun.Research on Evaluation and Strategy of High Quality Development of Shenzhen Manufacturing Industry[J].Journal of Nanhua University(Social Science Edition),2020,21(1):62-70.
Authors:CHEN Jun
Institution:Administrative College of Shenzhen, Shenzhen 518172,China
Abstract:Based on the analysis of the present situation of Shenzhen''s manufacturing industry, this paper constructs evaluation system for Shenzhen manufacturing industry with six secondary indicators including innovation capability, economic benefit, structural optimization, green low carbon, international competitiveness and social contribution. This system covers a total 22 three-level indicators. Then the multi-level fuzzy comprehensive evaluation method based on Python is used to measure the total index of comprehensive evaluation and the multiple Sub-item indexes about high-quality development of Shenzhen''s manufacturing industry from 2012 to 2017. The results show that the total index of high-quality development of Shenzhen''s manufacturing industry has risen in twists and turns since the 18th National Congress, but it''s still in the middle quality stage of development and the Sub-item indexes show different trends in general. Finally, it proposes Five suggestions to promote the high-quality development of manufacturing industry according to the results of empirical analysis.
Keywords:high quality development  index evaluation system  multi-level fuzzy comprehensive evaluation method  manufacturing industry
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