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基于超效率SBM-Malmquist指数模型的长三角地区科技创新效率研究
引用本文:赵勇,王晓红.基于超效率SBM-Malmquist指数模型的长三角地区科技创新效率研究[J].河北工程大学学报(社会科学版),2023,40(4):1-7.
作者姓名:赵勇  王晓红
作者单位:安徽建筑大学 公共管理学院, 安徽 合肥 230601
基金项目:安徽省社会科学创新发展研究攻关项目(编号:2021CX063)
摘    要:科技引领未来,创新驱动发展,科技创新承载着人民对美好生活的期许,是社会进步的重要驱动力和基石。以超效率SBM和Malmquist指数模型对长三角地区三省一市的2012—2021年的科技创新发展效率进行定量探究。结果表明:1.科技创新效率总体水平为0.64,未达到效率前沿面,但整体呈上升趋势;2.各地区综合技术效率水平不高,且差距显著;3.科技创新全要素生产率年均增幅为16.5%,偏向于技术进步的单轨道驱动模式。为有效提升长三角地区科技创新效率,在经费和人才投入方面提出优化创新资源投入结构;在成果产出方面,应提升政府管理水平,促进科创成果产业化,增强科技成果产出转化;在区域协调方面,科创要素跨省(市)流动,推进长三角区域协同,增强科技创新能力等建议。

关 键 词:长三角地区  科技创新效率  超效率SBM  Malmquist指数
收稿时间:2023/9/1 0:00:00

Research on the Efficiency of Scientific and Technological Innovation in Yangtze River Delta: Based on the Super-Efficiency SBM and Malmquist Index Model
Authors:ZHAO Yong  WANG Xiaohong
Institution:School of Public Administration, Anhui Jianzhu University, Hefei, Anhui 230601, China
Abstract:The future is led by science and technology and the development is driven by innovations. In this sense, scientific and technological innovation carries people''s expectations for a better life, and is an important driving force and cornerstone of social progress. In this study, the super-efficiency SBM and Malmquist index model are used to quantitatively explore the efficiency of scientific and technological innovation development in Anhui, Jiangsu, Zhejiang, and Shanghai of Yangtze River Delta from 2012 to 2021. The results showed that:1.the overall level of scientific and technological innovation efficiency is 0.64, which does not reach the efficiency frontier, but the overall trend is on the rise. 2.The comprehensive technical efficiency level of each region is not high and the interregional gap is significant. 3.The average annual growth rate of total factor productivity of scientific and technological innovation is 16.5%, which is biased towards the single-track driving mode of technological progress. Therefore, in order to effectively improve the efficiency of scientific and technological innovation in Yangtze River Delta, it is proposed to optimize the input structure of innovation resources in terms of funds and talent input. Still, as to output, it is suggested to improve government management and promote the industrialization and transformation of scientific and technological achievement. Besides, as for the promotion of regional coordination, it is advised that innovation elements should flow across provinces (cities), and the innovation capability should be enhanced.
Keywords:Yangtze River Delta  scientific and technological innovation efficiency  super efficiency SBM  Malmquist index
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