Increasing Financial Health Stability Of Logistics Companies: A Thailand Case. Issue 1 (30th April 2016)

• Record Type: Journal Article
• Authors: Songsang, Jaruwan; Suthiwartnarueput, Kamonchanok; Pornchaiwiseskul, Pongsa
• Is Part Of: Journal of international logistics and trade. Volume 14:Issue 1(2016)
• Page Start: 29
• Page End: 63
• Publication Date: 2016-04-30
• Subjects: Financial Health Stability -- Variable of Growth Rate -- Multidiscriminant Analysis -- Multinomial Logistics Regression Analysis; International trade -- Periodicals; Business logistics -- Periodicals; Commerce international -- Périodiques; Logistique (Organisation) -- Périodiques; Business logistics; International trade; Periodicals; 382.05
• DOI: 10.24006/jilt.2016.14.1.29
• Languages: English
• ISSNs: 1738-2122

Abstract

Abstract : The purposes of this paper are 1) to develop model of long term financial health for logistics companies in Thailand 2) to identify factors that determine long term financial stability. Many researchers currently provide factors affecting financial health. Most factors refer to financial ratios, not many non-financial ratios such as age and size have been mentioned. This paper considers both financial and non-financial ratios that affect financial performance of Logistics companies in Thailand. The study has covered some interesting non-financial ratios such as Nationality of Shareholders, type of network in Logistics Company, growth rate (consisted of sales growth rate/profit growth rate/asset growth rate / Liability growth rate) and variable of growth rates. The target group is 110 logistics companies in Thailand enlisted from Department of International Trade Promotion Ministry of Commerce, Royal Thai Government. The group is divided into three categories according to financial health of company; Healthy financial, Unhealthy (Distress) and normal situation. The Multidiscriminant Analysis (MDA) is applied to analyze the differentiations among the three categories. Significant variables from MDA will be used as the independent variables for Multimonial Logistic Regression Analysis (MLRA) to identify factors that determine long terms financial stability. This paper find CF/D, RE/TA, BE/TL, Size, Age, Type of network, Nationality of Shareholders and Number of Shareholders are significant factors determine long term financial stability of Logistics company in Thailand.