Analysis of Technological Innovation Efficiency by Petroleum Enterprises against The Belt and Road Initiatives Background ---Evaluation based on BP Neural Network

doi:10.3969/j.issn.1002-302x.2017.01.04

Abstract

Abstract: With the progress in technological areas, the growth mode of global petroleum industry has turned to technological innovation from high investment to stimulate business development. The Belt and Road Initiatives provides the Chinese petroleum enterprises with an excellent opportunity to implement the “go-world” strategy but sets higher requirements on their technological innovation. Focusing on China’s big-three oil companies (CNPC, Sinopec, CNOOC), this paper formulates the index system on the basis of investment and output and adopts the experts’ opinion method to determine the indexes and their weights. Research investment and output are the main factors influencing technological innovation efficiency of the enterprises. BP neural network model is adopted to evaluate technological innovation efficiency of the petroleum enterprises. The study indicates that China’s big-three oil companies rank the middle of the world’s level and slightly exceeds the average for their technological innovation efficiency. They still have enormous space for improvement in this area.

摘要： 随着技术进步，全球石油工业的增长方式已由靠高投入拉动增长转变为依靠技术创新，“一带一路”战略为我国石油企业“走出去”提供了良好机遇，也对我国石油企业技术创新提出更高要求。以我国三大石油企业（中国石油、中国石化、中国海油）为研究对象，从投入和产出两个角度选取指标体系，采用专家意见法和层次分析法确定指标及其权重，指出影响企业之间技术创新效率差距的主要因素是研发投入及产出，运用BP 神经网络模型评价了石油企业技术创新效率的高低。研究表明：我国三大石油企业技术创新效率处于中等略偏上水平并呈上升趋势，仍有极大的提升空间。

关键词: 一带一路, 石油企业, 技术创新效率, BP 神经网络

CLC Number:

Zhong Shuli, Yang Yang, Gao Qingxin, Yu Xiaozhong. Analysis of Technological Innovation Efficiency by Petroleum Enterprises against The Belt and Road Initiatives Background ---Evaluation based on BP Neural Network[J]. Petroleum Science and Technology Forum, 2017, 36(1): 19-25.

钟书丽　杨　洋　高庆欣　余晓钟. “一带一路”背景下石油企业技术创新效率分析——基于BP 神经网络的评价[J]. 石油科技论坛, 2017, 36(1): 19-25.

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