我國(guó)上市物流公司績(jī)效評(píng)價(jià)與影響因素分析
本文選題:上市物流公司 + 主成分分析。 參考:《江西財(cái)經(jīng)大學(xué)》2016年碩士論文
【摘要】:物流產(chǎn)業(yè)促進(jìn)國(guó)民經(jīng)濟(jì)各產(chǎn)業(yè)部門的健康發(fā)展,改變市場(chǎng)經(jīng)濟(jì)中企業(yè)傳統(tǒng)的管理模式,大大推動(dòng)我國(guó)產(chǎn)業(yè)結(jié)構(gòu)的調(diào)整和優(yōu)化,提升經(jīng)濟(jì)增長(zhǎng)速度。研究物流公司績(jī)效及影響因素,可以引導(dǎo)企業(yè)管理者做出對(duì)企業(yè)發(fā)展有益的決策,對(duì)促進(jìn)物流業(yè)的發(fā)展有重要意義,從而影響社會(huì)經(jīng)濟(jì)的發(fā)展。本文首先對(duì)61家上市物流公司的樣本數(shù)據(jù)進(jìn)行分析。在研究分析過程中,采用聚類分析法、相關(guān)性分析法、主成分分析法和因子分析法篩選樣本指標(biāo),建立物流績(jī)效評(píng)價(jià)指標(biāo)體系,得到上市物流公司績(jī)效評(píng)分;使用平均值分析法,對(duì)比分析各行業(yè)板塊和各地區(qū)上市物流公司績(jī)效水平;采用多元線性回歸法進(jìn)行建模,確定影響因素與企業(yè)績(jī)效之間的線性關(guān)系。最后,根據(jù)研究結(jié)果對(duì)上市物流企業(yè)提出合適的意見及建議。本文的創(chuàng)新之處在于:第一,使用聚類分析法、相關(guān)性分析法、主成分分析法和因子分析法對(duì)上市物流公司的評(píng)價(jià)指標(biāo)進(jìn)行篩選,降低主觀因素的干擾,使結(jié)果更加客觀。第二,將選擇的上市物流公司分行業(yè)、分區(qū)域地分類研究,使分析結(jié)果更具有說服力,給出的建議更具體、更有方向性。第三,分析了影響企業(yè)績(jī)效評(píng)分的因素,使企業(yè)不僅能夠發(fā)現(xiàn)問題,而且可以解決問題。通過分析和研究,建立起由盈利能力、企業(yè)負(fù)債、營(yíng)運(yùn)能力和發(fā)展能力這四個(gè)主成分組成的上市物流公司績(jī)效評(píng)價(jià)體系,并根據(jù)主成分權(quán)重構(gòu)建績(jī)效評(píng)分模型,得出這61家上市物流公司的綜合績(jī)效評(píng)分并排名,鹽田港排名第一,中昌海運(yùn)排名最末。在行業(yè)績(jī)效和區(qū)域績(jī)效對(duì)比分析中發(fā)現(xiàn),新興產(chǎn)業(yè),比如倉(cāng)儲(chǔ)業(yè),和新開發(fā)區(qū)域,比如西部地區(qū),它們的績(jī)效情況在各自領(lǐng)域里都是最好的,發(fā)展能力評(píng)分非常高,但企業(yè)負(fù)債壓力很大。其他行業(yè)和地區(qū)績(jī)效評(píng)分也是各有長(zhǎng)短,可根據(jù)績(jī)效評(píng)分情況,有針對(duì)性地根據(jù)某一行業(yè)或地區(qū)出臺(tái)相應(yīng)政策,平衡企業(yè)短板。在影響因素的分析中,第一大股東持股比例對(duì)企業(yè)綜合績(jī)效評(píng)分影響最大,與企業(yè)綜合績(jī)效評(píng)分為正相關(guān)關(guān)系,這意味著上市物流企業(yè)需要集權(quán)制,股權(quán)分散對(duì)于公司決策有不利影響。另外,獨(dú)立董事比例對(duì)企業(yè)綜合績(jī)效評(píng)分影響也很大,呈現(xiàn)正相關(guān)關(guān)系。這說明獨(dú)立董事比例越大,在企業(yè)決策時(shí)越能不被其他股東利益左右,提出科學(xué)、客觀的建議,引導(dǎo)企業(yè)正向發(fā)展。
[Abstract]:Logistics industry promotes the healthy development of various industrial departments of the national economy, changes the traditional management mode of enterprises in the market economy, greatly promotes the adjustment and optimization of China's industrial structure, and promotes the speed of economic growth.The study of the performance and influencing factors of logistics companies can guide the managers to make beneficial decisions for the development of enterprises, and it is of great significance to promote the development of logistics industry, thus affecting the development of social economy.This paper first analyzes the sample data of 61 listed logistics companies.In the process of research and analysis, cluster analysis, correlation analysis, principal component analysis and factor analysis are used to screen the sample indicators, establish the logistics performance evaluation index system, and get the performance score of listed logistics companies.The average value analysis method is used to compare and analyze the performance level of listed logistics companies in various industries and regions, and the linear relationship between the influencing factors and enterprise performance is determined by using multiple linear regression method.Finally, according to the results of the research on listed logistics enterprises put forward appropriate advice and suggestions.The innovations of this paper are as follows: firstly, cluster analysis, correlation analysis, principal component analysis and factor analysis are used to screen the evaluation indexes of listed logistics companies, so as to reduce the interference of subjective factors and make the results more objective.Secondly, the selected listed logistics companies will be classified into industries and regions to make the analysis results more persuasive and give more specific and directional suggestions.Thirdly, it analyzes the factors that affect the enterprise performance score, so that the enterprise can not only find the problem, but also solve the problem.Through analysis and research, the performance evaluation system of listed logistics companies is established, which is composed of four principal components: profitability, corporate debt, operation ability and development ability, and the performance scoring model is constructed according to the weight of principal components.The 61 listed logistics companies' comprehensive performance score and ranking, Yantian Port ranked first, Zhongchang Shipping ranked last.In the comparative analysis of industry performance and regional performance, it is found that emerging industries, such as warehousing industry, and newly developed regions, such as the western region, have the best performance in their respective fields, and the development ability score is very high.But corporate debt pressures are high.The performance scores of other industries and regions have their own merits and demerits. According to the performance scoring situation, the corresponding policies can be issued according to a certain industry or region to balance the short board of enterprises.In the analysis of the influencing factors, the proportion of the largest shareholder holding shares has the greatest influence on the comprehensive performance score of the enterprise, which is positively correlated with the comprehensive performance score of the enterprise, which means that the listed logistics enterprises need centralization.The decentralization of shares has a negative impact on the company's decision-making.In addition, the proportion of independent directors has a great impact on the comprehensive performance score, showing a positive correlation.This shows that the larger the proportion of independent directors, the more independent the interests of other shareholders in the decision-making process, put forward scientific and objective suggestions to guide the positive development of enterprises.
【學(xué)位授予單位】:江西財(cái)經(jīng)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:F259.23
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