基于Malmquist-PNN的油田企业技术创新效率评价与智能诊断研究

张惠琴; 尚甜甜; 邵云飞

科研管理 ›› 2016, Vol. 37 ›› Issue (12) : 10-18.

论文

基于Malmquist-PNN的油田企业技术创新效率评价与智能诊断研究

张惠琴^1,2,尚甜甜³,邵云飞¹

作者信息 +

Efficiency evaluation and intelligent diagnosis to the technological innovation of oilfield enterprises based on Malmquist-PNN

Zhang Huiqin ^1,2, Shang Tiantian³, Shao Yunfei¹

Author information +

文章历史 +

摘要

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。

Abstract

The technological innovation efficiency of 13 listed oil field enterprises from 2005 to 2012 has been evaluated integrally and dynamically by using the DEA-Malmquist index analysis method. And an intelligent diagnosis has been conducted to analyze the results of the technological innovation efficiency by using the probabilistic neural network (PNN). The results show that the Malmquist productivity efficiency of the 13 listed oil field enterprises from 2005 to 2012 could not meet the efficient frontier boundary. And the recession performance of technological innovation efficiency is mainly caused by the low scale efficiency. Intelligent diagnosis could help decision makers to estimate technical invalid decision-making units and the efficiency model of the decision-making units quickly and efficiently, and put forward strategies for targeted improvement according to different efficiency models.

导出引用

张惠琴尚甜甜邵云飞. 基于Malmquist-PNN的油田企业技术创新效率评价与智能诊断研究[J]. 科研管理. 2016, 37(12): 10-18

Zhang Huiqin, Shang Tiantian, Shao Yunfei. Efficiency evaluation and intelligent diagnosis to the technological innovation of oilfield enterprises based on Malmquist-PNN[J]. Science Research Management. 2016, 37(12): 10-18

基金

基金项目：国家自然科学基金项目(批准号71571149；起止时间：2016.01-2019.12)；教育部人文社会科学研究规划基金项目（批准号15JA630098;起止时间:2015.06-2018.06）；四川省哲学社会科学规划基金资助项目（批准号 SC14E044;起止时间:2014.06-2015.12）；四川省教育厅人文社科重点资助项目（批准号15SA0022;起止时间:2015.01-2017.12）。