• 中国科学学与科技政策研究会
  • 中国科学院科技政策与管理科学研究所
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

科学学研究 ›› 2019, Vol. 37 ›› Issue (9): 1589-1597.

• 科技发展战略与政策 • 上一篇    下一篇

双重驱动的省域科技发展水平评价方法研究

宫诚举1,易平涛2,李伟伟2   

  1. 1. 哈尔滨工程大学经济管理学院
    2.
  • 收稿日期:2018-08-29 修回日期:2018-12-12 出版日期:2019-09-15 发布日期:2019-09-15
  • 通讯作者: 宫诚举

Research on Evaluation Method of Provincial Science and Technology Development Level Based on Dual Driven

  • Received:2018-08-29 Revised:2018-12-12 Online:2019-09-15 Published:2019-09-15

摘要: 针对中国省域科技发展水平的综合评价问题,本文在分析现有研究存在的不足及问题的基础上,首先,对科技评价指标体系的构建原则进行了分析,并构建了一套用于评价省域科技发展水平的评价指标体系;其次,提出了一种双重驱动的中国省域科技发展水平评价方法,从“功能驱动”和“差异驱动”两个角度对中国省域的科技发展水平进行评价,“功能驱动”用于衡量省域科技发展的能力,“差异驱动”用于衡量省域科技发展的均衡程度,并针对“差异驱动”构建了一种新的客观赋权方法。最后,根据构建的指标体系和评价方法对2016年中国31个省域的科技发展水平进行了评价和分析,结果表明,科技发展水平发展最好的是北京、上海和广东,最差的是西藏、内蒙古和青海,且中国省域间的科技发展水平差距较大,但各省域自身的发展均较为均衡,并未出现某些省域过度强调某些指标发展的现象。

Abstract: Aimed at the comprehensive evaluation problem of how to evaluate the development level of provincial science and technology (S&T) in China,the shortcomings and problems in the existing research is analyzed. Firstly,some principles to construct index system of S&T are given,and a set of index system for evaluating the development level of S&T is developed. Secondly,this paper proposes a new evaluation method of provincial S&T development level based on dual driven. The dual driven are function-driven and differential driven respectively. The function driven is used to evaluate the development capacity and the differential driven is used to evaluate the balance degree of provincial S&T. A new objective determination method of weights is also developed corresponding to the differential driven. Finally,according to the index system and evaluation method proposed,the S&T development level of 31 provinces in China in 2016 is evaluated,and the evaluation results are analyzed. The results show that the best three provinces of S&T development level are Beijing,Shanghai and Guangdong,and the worst three are Tibet,Inner Mongolia and Qinghai. There is a large gap between the best three provinces and the worst three. In general,each of the 31 provinces of S&T development is relatively balanced and does not emphasize the development of some indexes.