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石油石化企业国际竞争力比较研究——基于Back Propagation神经网络的实证分析 被引量:2

A Comparative Study of International Competitiveness of Petroleum and Petrochemical Enterprises——An Empirical Study Based on Back Propagation Neural Network Model
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摘要 借鉴传统国际竞争力评价模式,基于企业资源、生产规模、资金管理、技术创新和社会效益等5大维度,构建石油石化企业国际竞争力分析模型。对样本企业国际竞争力进行比较研究,结果显示:第一,该评价方法的可信度高,模型具有较好的普适性;第二,在所选取的9家具有代表性的石油石化企业中,中国石油天然气股份有限公司的国际竞争力较强,处于中等偏上水平,中国石油化工集团公司处于中等偏下水平。因此,我国石油石化企业要加快推进优化升级,进一步提高资金管理效率和资金管理能力,推动产业低碳化和智能化发展,走可持续发展道路。 Referring to the traditional international competitiveness evaluation mode and based on five dimensions,namely,enterprise resources,production scale,capital management,technology and innovation and social benefits,an evaluation mode of petroleum and petrochemical enterprises’ international competitiveness is constituted.Comparing the international competitiveness of sample enterprises,it demonstrates that,first of all,the evaluation method has high credibility and the model has good universality;second,among the nine representative petroleum and petrochemical enterprises,China National Petroleum Corporation has strong international competitiveness and is at a medium-to-high level while China Petrochemical Corporation is at a medium-to-low level.Therefore,it is suggested that petroleum and petrochemical enterprises in China should accelerate the optimization and upgrading,further improve the efficiency and management ability of capital management, promote green and intelligent development of the industrial chain and take the road of sustainable development.
作者 姜鸿 邱君 张艺影 Jiang Hong;Qiu Jun;Zhang Yiying
机构地区 常州大学商学院
出处 《常州大学学报(社会科学版)》 2019年第3期38-46,共9页 Journal of Changzhou University:Social Science Edition
基金 国家哲学社会科学基金重点项目“中国绿色贸易利益的测度及提升对策研究”(18AJL012)
关键词 石油石化 国际竞争力 神经网络模型 petroleum and petrochemical international competitiveness neural network model
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