中国省际创新效率及其影响因素的实证研究

    Empirical Study on Provincial Innovation Efficiency and Its Affect Factors in China

    • 摘要: 以2000—2009年30个省(区、市)的面板数据为样本,运用数据包络分析(DEA)模型对中国省区创新效率进行了测度,并对创新效率的影响因素进行了实证研究。结果显示:考察期内中国省际创新效率波动性较大,北京、上海两市实现了历年创新效率有效,其余省区创新效率均存在差异性。在影响省际创新效率的因素中,政府投入、人才储备、区域经济、对外开放等因素对省际创新效率的提升具有明显的正向效应;而金融支持、产业结构、基础设施等因素对省际创新效率的影响则不明显。

       

      Abstract: Based on the panel data of China's 30 provinces during 2000—2009, the study carries out an empirical analysis on the provincial innovation efficiency and its affect factors by using the DEA model. The results are as follows: during the review period, there was greater volatility in provincial innovation efficiency; while Beijing and Shanghai realized innovation efficiency every year, the rest of the provinces displayed differences in innovation efficiency. As to the affect factors of the provincial innovation efficiency, government investment, talent reserve, regional economy, and opening up had obvious positive effects in the promotion of provincial innovation efficiency, while financial support, industrial structure and infrastructure demonstrated no obvious influence on provincial innovation efficiency.

       

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