The Application of a New Dynamic Evaluation Method in Steelworks’ Low-carbon Competitiveness

doi:10.12005/orms.2018.0292

Operations Research and Management Science ›› 2018, Vol. 27 ›› Issue (12): 166-171.DOI: 10.12005/orms.2018.0292

• Application Research • Previous Articles Next Articles

The Application of a New Dynamic Evaluation Method in Steelworks’ Low-carbon Competitiveness

JIANG Yu-guo^1,2, CHUN Wei-de²

1.School of Business, Sichuan Normal University, Chengdu 610101, China;
2.College of management science, Chengdu university of science and technology, Chengdu 610059, China

Received:2017-07-04 Online:2018-12-25

一种动态评价法在钢铁企业低碳竞争力评价中的应用

江玉国^1,2,淳伟德²

1.四川师范大学商学院,四川成都 610101;
2.成都理工大学管理科学学院,四川成都 610059

作者简介:江玉国(1982-),男,山东淄博人,博士,博士后,研究方向为项目管理、竞争力评价等;淳伟德(1963-),四川苍溪人,博士,教授,博士生导师,研究方向为公司治理、公司价值等。
基金资助:
国家自然科学基金项目(71271177);中国博士后科学基金项目(2017M622983);四川县域经济发展研究中心项目(xy2017028);四川循环经济研究中心项目(XHJJ1716);四川矿产资源研究中心项目(SCKCZY2018-YB005)

Abstract

Abstract: In the process of evaluation of enterprise competitiveness, we often encounter periodicity and contingency. In order to solve this problem, we extend the TOPSIS based on the idea of "pulling up the class" and adopt this method for steelworks’ low-carbon competitiveness. The results show that this method has the advantages of dynamics, flexibility and comprehensive compared with the existing static methods. The steelworks’ low-carbon competitiveness could be reflected from various angles.The practicability and validity of this method are verified, and it solves the occasional problem. At the same time, we present a new way to explore the dynamic evaluation of steelworks’ low-carbon competitiveness in this paper.

Key words: dynamic evaluation, TOPSIS, euclid distance, low-carbon competitiveness

摘要： 在企业竞争力评价过程中,经常会遇到周期性、偶然性等问题,为解决这类问题,笔者在综合前人所提出“拉开档次”这一研究思路的基础上对TOPSIS法进行了拓展,并采用该方法对我国部分钢铁企业低碳竞争力进行了评价。研究结果表明,相对于现行的静态评价法,该法具有动态性、灵活性、综合性等优点,可以从各种角度反映钢铁企业的低碳竞争力状况。实证研究既验证了本方法的实用性和有效性,又解决了评价周期内巨大变化影响评价结论的问题,为企业低碳竞争力动态评价的研究提出了一种新的拓展思路。

关键词: 动态评价, TOPSIS, Euclid距离, 低碳竞争力

CLC Number:

F205

JIANG Yu-guo, CHUN Wei-de. The Application of a New Dynamic Evaluation Method in Steelworks’ Low-carbon Competitiveness[J]. Operations Research and Management Science, 2018, 27(12): 166-171.

江玉国,淳伟德. 一种动态评价法在钢铁企业低碳竞争力评价中的应用[J]. 运筹与管理, 2018, 27(12): 166-171.

References

[1] 郭亚军,姚远,易平涛.一种动态综合评价方法及应用[J].系统工程理论与实践,2007(10):154-158.
[2] 郭亚军. 一种新的动态综合评价方法[J].管理科学学报,2002,5(2):49-54.
[3] 陈国宏,康艺苹,李美娟. 区域科技创新能力动态评价——基于改进的“纵横向”拉开档次评价法[J]. 技术经济,2015,34(10):17-23.
[4] 陈国宏,李美娟.基于方法集的综合评价方法集化研究[J].中国管理科学,2004,12(1):101-105.
[5] 李美娟,陈国宏,陈勃,徐林明. 基于方法集化的动态组合评价方法研究[J].中国管理科学,2013,21(2):132-136.
[6] 李美娟,徐林明,陈国宏. 基于一致性的动态组合评价方法研究[J].中国管理科学,2016,24(10):149-155.
[7] 李美娟. 基于理想解的区域自主创新效率动态评价研究[J].科学学与科学技术管理,2014,35(2):114-123.
[8] 袁久和,祁春节. 基于熵值法的湖南省农业可持续发展能力动态评价[J].长江流域资源与环境,2013,35(2):152-157.
[9] 李琳,吴珊. 基于DEA的我国区域经济协同发展水平动态评价与比较[J].华东经济管理,2014,28(1):65-68+9
[10] 边旭,田厚平,郭亚军. 具有激励特征的供应商动态评价方法[J].南开管理评论,2004,(5):87-90.
[11] 易平涛,由海燕,郭亚军,李伟伟.基于时序增益激励的多阶段评价信息集结方法[J].系统工程,2004,33(12):126-131.
[12] 刘艳春,高闯.风险资产组合的均值-WCVaR模糊投资组合优化模型[J].中国管理科学,2006,14(6):16-21.
[13] 王学军,郭亚军. 供应商选择的三维动态组合评价方法及应用[J].工业工程与管理,2005,(6):19-22.
[14] 华小义,谭景信. 基于“垂面”距离的TOPSIS法——正交投影法[J].系统工程理论与实践,2004,(1):114-119.
[15] 刘艳春.大企业竞争力评价理论、方法与实证研究[M].北京:经济管理出版社,2014.
[16] 郭亚军.综合评价理论、方法及拓展[M].北京:科学出版社,2012.
[17] 江玉国,范莉莉.碳无形资产视角下企业低碳竞争力评价研究[J].商业经济与管理,2014,(9):42-51.
[18] 江玉国,范莉莉. 企业低碳竞争力的影响因素[J].技术经济.2015,34(5):35-39.
[19] 范莉莉,江玉国. 基于熵值法的钢铁企业低碳竞争力评价[J].软科学,2016,30(8):42-46.
[20] 范莉莉,高喜超,叶常发.企业基于整体无形资产的核心竞争力评价[M].北京:科学出版社,2010.
[21] 易平涛,周义,郭亚军,李伟伟.一种体现发展趋势的动态综合评价方法[J].运筹与管理,2016,25(6):175-180.

The Application of a New Dynamic Evaluation Method in Steelworks’ Low-carbon Competitiveness

一种动态评价法在钢铁企业低碳竞争力评价中的应用

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