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采用DEA-Malmquist指数分析法对13家上市油田企业2005-2012年间的技术创新效率进行了测量和动态评价,运用概率神经网络PNN实现了对技术创新效率评价结果的智能诊断。研究表明:13家油田企业2005-2012年的全要素生产率未达到效率前沿面,技术创新效率总体上表现的退步趋势主要是由规模效率较低引起的;智能诊断能使决策者快速有效的判断出技术无效的决策单元和决策单元的效率模式,并根据不同的效率模式提出针对性的改善策略。
The DEA-Malmquist index method was used to measure and evaluate the technological innovation efficiency of 13 listed oilfield enterprises during 2005-2012. The probabilistic neural network PNN was used to realize the intelligent diagnosis of the technical innovation efficiency evaluation. The research shows that the total factor productivity of 13 oilfield enterprises did not reach the efficiency frontier in 2005-2012, and the overall retrogressive trend of technological innovation efficiency is mainly caused by the low efficiency of scale. The intelligent diagnosis can make the decision maker quickly and effectively judge The technical efficiency of decision-making units and decision-making unit of the efficiency of the model, and according to different efficiency model proposed targeted improvement strategy.