| 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].,2020,(1):62-70 |
| 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 |
| Research on Evaluation and Strategy of High Quality Development of Shenzhen Manufacturing Industry |
| 投稿时间：2019-11-13 |
| DOI： |
| 中文关键词: 高质量发展 指标评价体系 多层次模糊综合评价法 制造业 |
| English Keywords:high quality development index evaluation system multi-level fuzzy comprehensive evaluation method manufacturing industry |
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| 摘要点击次数: 662 |
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| 中文摘要: |
| 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。 |
| English Summary: |
| 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. |
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