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基于DEA-Malmquist模型的中国沿海省份科技创新效率研究 被引量:2

Research on the Efficiency of Science and Technology Innovation in China’s Coastal Provinces Based on DEA-Malmquist Model
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摘要 构建科技创新效率评价指标体系,运用DEA-BCC模型静态分析2021年中国沿海11个省份科技创新效率水平,对非DEA有效省份进行原因分析,并运用Malmquist指数,动态分析2011—2021年中国沿海11个省份科技创新效率的时空变化。研究发现,从静态分析看,2021年中国沿海省份科技创新效率整体较高,其中东部地区海洋经济圈科技创新效率水平最高,南部地区海洋经济圈科技创新效率最弱;纯规模效率是影响沿海省份能否处于DEA有效状态重要因素;从动态分析看,评价期内中国沿海省份科技创新整体处上升状态,Malmquist指数呈“下降-上升-下降-上升”循环变化;三大海洋经济圈从北往南依次为1.064、1.037、1.032,呈“北高南低”的空间布局,综合技术效率、纯技术效率是决定科技创新效率空间布局的关键因素。基于此,提出坚持市场需求导向,强化企业科技创新主体地位、优化科研资源投入,提升科技市场活力、打破区域限制,实现沿海科技创新协调发展等建议。 Constructing an evaluation index system of science and technology innovation efficiency,using the DEA-BCC model to analyze the level of science and technology innovation efficiency of 11 coastal provinces(municipalities)in China in 2021 statically,the reasons for the non-DEA-effective provinces(municipalities)was analyzed,and the Malmquist index was used,the spatio-temporal changes of science and technology innovation efficiency in 11 coastal provinces(municipalities)of China from 2011 to 2021 were dynamicly analyzed.The findings are as follows.From the static analysis,the overall efficiency of science and technology innovation in China’s coastal provinces(cities)in 2021 is relatively high,with the highest level of science and technology innovation efficiency in the eastern Marine economic circle and the weakest one in the southern Marine economic circle.Pure scale efficiency is an important factor affecting whether coastal provinces(cities)are in the effective state of DEA.From the dynamic analysis,the overall state of science and technology innovation in China’s coastal provinces(cities)is on the rise during the evaluation period,and the M-index shows a“declining-rising-declining-rising”cycle.The three major Marine economic circles are 1.064,1.037 and 1.032 from north to south,showing a spatial layout of“high in the north and low in the south”.Comprehensive technical efficiency and pure technical efficiency are the key factors determining the spatial layout of scientific and technological innovation efficiency.Based on this,suggestions are put forward to adhere to the market demand orientation,strengthen the dominant position of enterprises in science and technology innovation,optimize the investment of scientific research resources,enhance the vitality of science and technology market,break regional restrictions,and realize the coordinated development of coastal science and technology innovation.
作者 汪国钦 陈培雄 王志文 赖瑛 WANG Guoqin;CHEN Peixiong;WANG Zhiwen;LAI Ying(Key Laboratory of Ocean Space Resource Management Technology,MNR,Hangzhou 310012,China;Marine academy of Zhejiang Province,Hangzhou 310012,China)
出处 《科技和产业》 2024年第10期20-25,共6页 Science Technology and Industry
基金 2021年度国家社会科学基金重大项目(21&ZD154) 2022年浙江省一般软科学研究项目(2022C35093)。
关键词 沿海省份 DEA模型 MALMQUIST指数 科技创新 coastal provinces DEA model Malmquist index scientific and technological innovation
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