作者王慧
姓名汉语拼音Wang Hui
学号2021000008174
培养单位兰州财经大学
电话15294141718
电子邮件2336570180@qq.com
入学年份2021-9
学位类别专业硕士
培养级别硕士研究生
一级学科名称会计
学科代码1253
第一导师姓名雒京华
第一导师姓名汉语拼音Luo Jinghua
第一导师单位兰州财经大学
第一导师职称教授
第二导师姓名李宝军
第二导师姓名汉语拼音Li Baojun
第二导师单位兰州佛慈制药股份有限公司
第二导师职称高级会计师
题名基于熵权-灰色关联分析法下长城汽车盈利质量评价研究
英文题名Research on Evaluation of Profitability Quality of Great Wall Motors based on Entropy Weight-Grey Relation Analysis
关键词盈利质量 熵权法 灰色关联分析法 长城汽车
外文关键词Profitability Quality ; The Entropy Weight Method ; Grey Relation Analysis ; Great Wall Motor Company Limited
摘要

党的二十大报告指出,高质量发展是全面建设社会主义现代化国家的首要任务。新能源汽车作为我国的重点发展产业,其盈利质量我国高质量发展目标的实现发挥着重要作用。为了推动新能源汽车行业稳健发展,我国出台了多项补贴政策,然而近年受国家公共安全事件的冲击及政府补贴退坡影响,新能源汽车行业在核心技术研发突破、市场占有率等方面遭遇挑战因此行业的盈利质量成为业界瞩目的焦点长城汽车对行业贡献有目共睹,其盈利质量值得深入研究。

本文基于我国新能源汽车行业发展背景,对有关盈利质量的国内外研究文献进行分类整理,阐述了本文的整体研究框架和所使用的研究方法,并简要介绍相关概念理论基础。文章立足于长城汽车盈利模式基于五个维度选取20个指标确定盈利质量评价指标体系。将熵权法及灰色关联分析法作为长城汽车盈利质量评价方法以实现纵向综合分析。长城汽车为研究对象,选取比亚迪、上汽集团及行业均值2015-2022年的财务数据为对比深入探究长城汽车盈利质量的影响因素。首先使用熵权法对长城汽车盈利质量指标权重进行计算,找出对企业盈利质量影响较大的因素,其次通过灰色关联模型计算得出长城汽车年度盈利质量排名根据评价结果对重要指标进行具体分析研究结果表明,长城汽车的盈利质量获利性、收现性和稳定性和结构性方面还有待提高在此基础上本文提出优化盈利质量的具体建议望能改善其盈利质量,同时为同行业企业盈利质量评价方法上的完善提供有价值的参考

 

关键词: 盈利质量 熵权法 灰色关联分析法 长城汽车

英文摘要

The report of the 20th National Congress of the Communist Party of China pointed out that high-quality development is the primary task of building a modern socialist country. As a key development industry in China, the profitability quality of new energy vehicles plays an important role in the realization of China's high-quality development goals. However, due to the emergence of national public security incidents in recent years and the decline of national financial subsidies, there are many deficiencies in the new energy vehicle industry in terms of core technology research and development breakthroughs and market share. Therefore, the profitability quality of the new energy automobile industry has attracted much attention, and Great Wall Motors has made great contributions to China's new energy industry, and its profitability quality is worthy of in-depth study.

Based on the development background of China's new energy vehicle industry, this paper classifies the domestic and foreign research literature on profit quality, expounds the overall research framework and research methods used in this paper, and briefly introduces the relevant concepts and theoretical foundations. Based on the profit model of Great Wall Motors, this paper selects 20 indicators to determine the profit quality evaluation index system based on five dimensions. The entropy weight method and grey correlation analysis method were used as the methods to evaluate the profit quality of Great Wall Motors to achieve longitudinal comprehensive analysis. Taking Great Wall Motor as the research object, the financial data of BYD,SAIC and industry average from 2015 to 2022 are selected as a comparison to explore the influencing factors of Great Wall Motor's profit quality. Firstly, the entropy weight method is used to calculate the weight of Great Wall Motor's earnings quality index to find out the factors that have a greater impact on the company's earnings quality, and secondly, the gray correlation model is used to calculate the annual earnings quality ranking of Great Wall Motor. According to the specific analysis of the indicators , the research results show that the profitability quality of Great Wall Motors needs to be improved in terms of profitability, cashability, stability, sustainability and growth. On this basis, this paper puts forward specific suggestions for optimizing the profitability quality, hoping to improve its profit quality, and also provide reference for enterprises in the same industry to improve the profitability evaluation methods.

 

KeywordsProfitability Quality; The Entropy Weight Method; Grey Relation Analysis; Great Wall Motor Company Limited

学位类型硕士
答辩日期2024-05-26
学位授予地点甘肃省兰州市
研究方向注册会计师方向
语种中文
论文总页数88
插图总数19
插表总数38
参考文献总数67
馆藏号0006082
保密级别公开
中图分类号F23/1097
文献类型学位论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/37025
专题会计学院
推荐引用方式
GB/T 7714
王慧. 基于熵权-灰色关联分析法下长城汽车盈利质量评价研究[D]. 甘肃省兰州市. 兰州财经大学,2024.
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