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Research on the Influence of Industrial Upgrading on Independent Innovation Ability in China—Based on Inter-Provincial Panel Data

机译:基于跨省面板数据的产业升级对中国自主创新能力的影响研究

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According to the different levels of economic development in China ’ s provinces, this paper uses principal component analysis to establish a comprehensive index system for evaluating the level of economic development, and then uses cluster analysis to classify 31 provinces in China into economically developed regions, economically relatively developed regions, and economically underdeveloped regions. Next, based on the results of regional division, this paper uses the fixed panel data model to empirically analyze the impact of national and regional industrial upgrading on independent innovation capability, and the model is tested for robustness by systematic generalized moment estimation. The results show that: Industrial upgrading can effectively promote the improvement of national and regional independent innovation capabilities. On the whole, the industrial upgrading transferred to the tertiary industry can effectively promote the improvement of independent innovation capability; moreover, in both economically developed regions and economi cally underdeveloped regions, the process of industrial upgrading to the secondary and tertiary industries can effectively promote the improvement of regional independent innovation capabilities. Finally, according to the results of empirical analysis, the paper puts forward policy enlightenment of industrial upgrading and suggestions on improving independent innovation ability.
机译:根据中国各省经济发展水平的不同,本文采用主成分分析法建立了一套综合评价经济发展水平的指标体系,然后采用聚类分析法将中国31个省区划为经济发达地区,经济相对发达的地区和经济欠发达的地区。接下来,基于区域划分的结果,本文使用固定面板数据模型对国家和区域产业升级对自主创新能力的影响进行实证分析,并通过系统的广义矩估计对模型进行了稳健性检验。结果表明:产业升级可以有效促进国家和地区自主创新能力的提高。总体来看,转移到第三产业的产业升级可以有效地促进自主创新能力的提高;此外,在经济发达地区和经济不发达地区,向第二,第三产业的产业升级过程都可以有效地促进区域自主创新能力的提高。最后,根据实证分析的结果,提出产业升级的政策启示和提高自主创新能力的建议。

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