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作 者:林海[1] Lin Hai(Guangdong Institute of Science and Technology,Zhuhai 519090,China)
出 处:《科技管理研究》2020年第12期85-95,共11页Science and Technology Management Research
基 金:广东省哲学社会科学基金项目“缺失数据下部分线性单指标模型的统计推断及应用研究”(GD18CYJ08)。
摘 要:基于因子分析和数据包络分析(DEA)方法,对粤港澳大湾区县域创新环境以及创新绩效进行实证分析。首先,构建县域创新环境评价指标体系,基于粤港澳大湾区发展背景,分析粤港澳大湾区内珠三角核心区、沿海经济带、北部生态发展区3个不同区位的县域创新环境、创新投入、创新绩效特征。其次,从上述3个不同区位内挑选出代表性县(市),对其创新绩效进行综合评价。最后,根据实证分析结果,找出粤港澳大湾区各县(市)存在的短板以及发展问题,并有针对性地提出提高创新绩效、促进创新能力整体发展的若干策略和建议。Based on factor analysis and data envelopment analysis(DEA),this paper empirically analyzes the innovation environment and innovation performance of Guangdong-Hong Kong-Macao Greater Bay Area.Firstly,based on the development background of Guangdong-Hong Kong-Macao Greater Bay Area,the paper analyzes the characteristics of innovation environment,innovation input and innovation performance in three different regions in the Kong-Macao Greater Bay Area,they are Pearl River Delta core area,coastal economic belt and northern ecological development area.Secondly,the representative counties(cities)are selected from these three different locations,and their innovation performance is evaluated synthetically.Finally,according to the results of empirical analysis,the paper finds out the shortcomings and development problems of these counties(cities),and puts forward some targeted strategies and suggestions to improve innovation performance and promote the overall development of innovation ability.
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