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珠三角城市科技创新能力评价 被引量:31

Evaluation of Scientific and Technological Innovation Ability of Pearl River Delta Cities
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摘要 基于系统论,按照投入、处理、产出和环境的关系逻辑构建包含科技创新环境、科技创新投入能力、科技创新实施能力和科技创新产出能力4个一级指标和25个二级指标的珠三角城市科技创新能力评价指标体系;采用标准差法、TOPSIS法和TOPDIS法构建组合模型,运用珠三角9市2018年和2019年有关数据平均值对各城市的科技创新能力进行评价,并分析其科技创新能力提升改进路径。研究发现:珠三角各市的科技创新能力差异较大,广州科技创新环境最好,深圳科技创新投入能力、科技创新实施能力和科技创新产出能力排名均为第一;各城市提升科技创新能力的首要因素中,广州和深圳分别要考虑PCT国际专利申请量和本科院校重点学科数,佛山、珠海等其他地市均要以创业投资引导基金额为首要考虑因素。基于实证结果,从科技创新资源共建共享、科技投入保障和差异化科技创新能力提升机制构建等方面,提出促进珠三角城市科技创新能力提升的对策建议。 Based on the system theory,according to the relationship logic of input,processing,output and environment,this paper constructs the evaluation index system of urban science and technology(S&T)innovation ability in Pearl River Delta,including 4 primary indicators of STI environment,STI input capacity,STI implementation capacity and STI output capacity,and 25 secondary indicators;then constructs combination model by standard deviation,TOPSIS and TOPDIS method to evaluate the S&T innovation ability and improvement path of 9 cities in the Pearl River Delta by using its average data form 2018 to 2019.The research finds that the 9 cities have great difference in scientific and technological innovation ability,of which Guangzhou’s S&T innovation environment is the best,Shenzhen’s S&T innovation input capacity,S&T innovation implementation capacity and S&T innovation output capacity are ranked first;among the most important factors to improve the S&T innovation ability of each city,Guangzhou and Shenzhen should consider the number of PCT international patent applications and the number of key subjects in undergraduate colleges and universities,Foshan,Zhuhai and other cities should take the amount of venture capital guidance fund as the primary consideration.Based on the empirical results,the paper puts forward some countermeasures and suggestions to promote the improvement of S&T innovation ability in Pearl River Delta city from the aspects of co-construction and sharing of S&T innovation resources,S&T investment guarantee and the construction of differentiated S&T innovation ability enhancement mechanism.
作者 蔡晓琳 刘阳 黄灏然 Cai Xiaolin;Liu Yang;Huang Haoran(College of Innovation and Entrepreneurship Education,Zhongkai University of Agriculture and Engineering,Guangzhou 510225,China;School of Foreign Languages,Zhongkai University of Agriculture and Engineering,Guangzhou 510225,China;College of Information Science and Technology,Zhongkai University of Agriculture and Engineering,Guangzhou 510225,China)
出处 《科技管理研究》 CSSCI 北大核心 2021年第4期68-74,共7页 Science and Technology Management Research
基金 广东省软科学研究项目“广东省‘三农’科技孵化育成体系建设的问题与对策研究”(2019A101002067) 广东省普通高校青年创新人才类项目“广东省高校实践育人创新创业载体和平台建设研究”(2019WQNCX041) 广州市人文社会科学重点研究基地项目“粤港澳大湾区农产品流通研究中心”(穗社规办[2020]13号)。
关键词 创新能力评价 科技创新能力 珠三角城市 标准差法 TOPSIS法 TOPDIS法 evaluation of innovative capacity scientific and technological innovation ability Pearl River Delta cities standard deviation TOPSIS TOPDIS
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