大数据视角下我国区域科技创新高质量发展水平综合评价分析
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1.上海交通大学;2.安徽财经大学

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F222

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国家社会科学基金重大项目“完善住户部门资产负债表体系建设研究”(20&ZD136); 国家社会科学基金重大项目“完善经济社会发展考核评价体系研究”(14ZDA013)


Comprehensive evaluation and analysis of high-quality development level of regional science and technology innovation in China from the Perspective of Big data
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    摘要:

    探索改变传统的科技创新评价中过于偏重总量和增长速度的综合评价思路,关注科技创新绩效评价,包括产业结构升级、绿色生态影响和社会影响力方面。为此,基于高质量发展新理念,立足我国科技创新新阶段,融合大数据指标,采用组合赋权方法,从创新环境、创新投入、创新产出、企业创新和创新绩效5个维度构建我国区域科技创新高质量发展综合评价指标体系,考察评估2012-2022年我国科技创新发展水平层度、特征和趋势。结果表明,我国科技创新水平整体稳步提升,但区域发展不平衡,呈现“西低、中平、东高”的格局;创新环境、创新产出和企业创新指数均有所提升,而创新投入和创新绩效呈现波动趋势。根据研究发现,提出进一步推进科技创新高质量发展的政策建议,包括加快高水平创新人才建设、强化科技发展区域协同以及绿色科技体系创新建设等。

    Abstract:

    Trying to change the traditional ideas of comprehensive evaluation with too much emphasis on the total amount and the growth rate, and pay attention to the performance evaluation of scientific and technological innovation, including the upgrading of industrial structure, green ecological impact and social influence. Therefore, based on the new concept of high-quality development and the new stage of scientific and technological innovation in China, integrating big data indicators, using the combination of empowerment method, this paper constructs a comprehensive evaluation index system for high-quality development of regional scientific and technological innovation in China from the five dimensions of innovation environment, innovation input, innovation output, enterprise innovation and innovation performance, to investigate and evaluate the level, characteristics and trend of China's scientific and technological innovation development from 2012 to 2022. The results show that the overall level of scientific and technological innovation in China has been steadily improved, but the regional development is unbalanced, showing a pattern of ‘low in the west, average in the middle, and high in the east’; the index of innovation environment, innovation output, and enterprise innovation index have all improved, while the index of the innovation investment and innovation performance show a fluctuating trend. Based on the research findings, the paper puts forward policy suggestions to further promote the high-quality development of scientific and technological innovation in China, including accelerating the construction of high-level innovative talents, strengthening regional coordination of scientific and technological development, and innovating the green technology system.

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严晗,朱启贵,李旭辉.大数据视角下我国区域科技创新高质量发展水平综合评价分析[J].,2023,(22).

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  • 收稿日期:2023-07-23
  • 最后修改日期:2023-12-13
  • 录用日期:2023-09-05
  • 在线发布日期: 2024-02-27
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