基于博弈交叉效率DEA模型的中国工业企业创新绩效测度
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The Performance Evaluation of Industrial Enterprises in China Based on the Game Cross Efficiency DEA Model
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    利用改进的博弈交叉效率模型,测算了2012-2015年中国30个省区工业企业创新绩效的博弈结果,研究发现:中国工业企业创新绩效总体上处于中等水平,且呈现出先降后升的“V”型走势。中国工业企业创新绩效的区域差异明显,区域工业企业创新绩效总体上看呈现出“东部高、西部低、中部居中”的梯度走势。从各年份来看,东部呈现出持续下降然后强势复苏的走势,中部地区呈现忽高忽低的波浪形走势,西部地区则是持续下降然后缓慢复苏。东中西部地区工业企业创新绩效差异趋于收敛。各省区工业企业创新绩效的区域利用模式可划分为6类。各省区需依据其模式特点采取不同策略提升工业企业创新绩效水平。

    Abstract:

    This paper uses improved game cross efficiency model to calculate the game results of industry innovation performance in China 30 provinces during 2012-2015.The study finds:innovation performance of industrial enterprises in China is overall in the middle level, and shows the "V" trend that rises after the first drop. Regional differences in innovation performance of industrial enterprises in China is obvious. On the whole, the innovation performance of regional industrial enterprises shows the gradient trend of "high in the East, low in the West and central in the middle". From the years of view, the eastern region shows a sustained decline and then a strong recovery trend, the central region shows a wave of high and low volatility trend, the western region shows?downward?trend and then slow recovery. Differences of industrial enterprises innovation performance between each region tend to converge. The regional utilization patterns of industrial enterprises innovation performance can be divided into 6 categories. According to its characteristics,each province should adopt different strategies to improve the level of innovation performance of industrial enterprises.

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刘涛,金英淑,杨金帅,霍静娟.基于博弈交叉效率DEA模型的中国工业企业创新绩效测度[J].科技与产业,2017,(09):75-79

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  • 在线发布日期: 2017-10-19
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