Study On The Financial Performance Evaluation In Logistics Industry Listed Companies Of China Based On The Perspective Of Industrial Agglomeration

As the backbone industry of our national economy, the importance of logistics industry is obvious. The priority of logistics resources integration and rational utilization, improve logistics efficiency and reduce logistics costs become an important way for the transformation of economic growth, adjusting the industrial structure. Nowadays, most enterprises, in order to improve logistics efficiency and reduce the connotation of development of the logistics costs as an important path of sustainable development of enterprises. Therefore, evaluating the credit risk of the information technology enterprises has far-reaching significance. However, there is little research on financial performance evaluation of logistics industry in China and it is urgent to introduce scientific and effective model to solve the performance evaluation problem. Based on this need, the article have launched research on how to structure the systematic financial performance evaluation system and regards logistics industry listed company as the research object, and then give suggestion on how to improve the logistics business financial performance evaluation system.Firstly, this article has collection and review of the existing related research on domestic and foreign literature and then formed the framework of the research. Secondly, defined the concepts of industry, agglomeration and industrial agglomeration and then has further introduction of the related theory such as Marshall’s industrial district theory, Peru’s the growth pole theory, Krugman’s new economic geography theory, Myrdal’s cumul-ative cycle of cause and effect theory, etc.On behalf of creditors, the weigh of five different aspects is determined via AHP. Combined with filtered financial indicators, the logistics industry listed company’s financial performance evaluation model is established.With regards to the constructed financial performance evaluation model, the research expands the empirical analysis process. The empirical analysis process includes using principal components analysis and linear regression model on the31indicators of five different aspects of52information technology listed companies to reduce the variable quantity and finally gets18ralational ones. Moreover, the weigh of five different aspects is determined via AHP. Finally, the logistics industry listed company’s financial performance evaluation model is established. Through the empirical analysis process, the writer gives the relevant conclusions.Based on the research, the writer gives recommendations on how to further improve our logistics industry listed company’s financial performance evaluation system, how to establish effective financial performance evaluation system, how to strengthen the financial information disclosure, how to strengthen the industrial clustering effect, etc.