基于创新合作模式的中国海洋主导产业选择研究
发布时间：2018-08-18 20:17
【摘要】：海洋主导产业的选择不仅受宏观因素的影响,还会受到行业内创新者之间合作关系的影响,其作为发展潜力的一部分不容忽视。基于专利合著网络分析法,构建包括网络聚集系数、平均路径长度、小世界熵数三个指标的创新者合作关系量化体系,拟将该体系与产业增长速度、需求收入弹性共同作为产业发展潜力指标;将经济弹性系数、从业人口比重、产业相对规模、劳动生产率作为产业发展实力指标,基于中国海洋产业2013年的专利数据,运用主成分分析法和图谱分析法,对中国海洋产业进行分析评估。根据实证结果以及对实际状况的分析,得出应选择海洋渔业及其相关产业和滨海旅游业为海洋主导产业的结论,进而提出促进海洋产业发展的相关政策建议。
[Abstract]:The choice of marine leading industry is influenced not only by macro factors, but also by the cooperative relationship among innovators in the industry, which can not be ignored as a part of the development potential. Based on the patent coauthor network analysis method, this paper constructs a quantitative system of innovator cooperation relationship including network aggregation coefficient, average path length and entropy number of small world, and proposes to combine this system with the speed of industrial growth. The economic elasticity coefficient, the proportion of the employed population, the relative scale of the industry and the labor productivity are taken as the indicators of industrial development strength, based on the patent data of China's marine industry in 2013. The principal component analysis and chromatogram analysis were used to analyze and evaluate the marine industry in China. Based on the empirical results and the analysis of the actual situation, this paper draws a conclusion that marine fishery and its related industries and coastal tourism should be selected as the leading marine industries, and then puts forward relevant policy recommendations to promote the development of marine industry.
【作者单位】： 青岛大学商学院;青岛大学数学与统计学院;
【基金】：国家社科基金“小世界性视角下区域创新网络演化及其创新扩散效应研究”(15BGL027) 山东省研究生教育创新计划“基于专利合著网络分析的山东省高校研究生创新能力培养研究”(SDYY14034)
【分类号】：P74
本文编号：2190561
[Abstract]:The choice of marine leading industry is influenced not only by macro factors, but also by the cooperative relationship among innovators in the industry, which can not be ignored as a part of the development potential. Based on the patent coauthor network analysis method, this paper constructs a quantitative system of innovator cooperation relationship including network aggregation coefficient, average path length and entropy number of small world, and proposes to combine this system with the speed of industrial growth. The economic elasticity coefficient, the proportion of the employed population, the relative scale of the industry and the labor productivity are taken as the indicators of industrial development strength, based on the patent data of China's marine industry in 2013. The principal component analysis and chromatogram analysis were used to analyze and evaluate the marine industry in China. Based on the empirical results and the analysis of the actual situation, this paper draws a conclusion that marine fishery and its related industries and coastal tourism should be selected as the leading marine industries, and then puts forward relevant policy recommendations to promote the development of marine industry.
【作者单位】： 青岛大学商学院;青岛大学数学与统计学院;
【基金】：国家社科基金“小世界性视角下区域创新网络演化及其创新扩散效应研究”(15BGL027) 山东省研究生教育创新计划“基于专利合著网络分析的山东省高校研究生创新能力培养研究”(SDYY14034)
【分类号】：P74
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