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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 인하대학교 정석물류통상연구원 Journal of International Logistics and Trade Journal of International Logistics and Trade Vol.14 No.1
- 발행연도
- 2016.4
- 수록면
- 29 - 63 (35page)
이용수
초록· 키워드
오류제보하기
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.
목차
Abstract
1. Introduction
2. Literature Review
3. Research Process and Methodology
4. Result and Analysis
5. Conclusion
References
참고문헌 (64)
참고문헌 신청
Aas, T. H., & Pedersen, P. E., 2011. The impact of service innovation on firm-level financial performance. The Service Industries Journal, 31(13), 2071-2090.
Aasen, M. R., 2011. Applying Altman’s Z-Score to the Financial Crisis: an empirical study of financial distress on Oslo Stock Exchange.
Agarwal, V., & Taffler, R., 2007. Twenty‐five years of the Taffler z‐score model: Does it really have predictive ability? Accounting and Business Research, 37(4), 285-300.
Almajali, A. Y., Alamro, S. A., & Al-Soub, Y. Z., 2012. Factors Affecting the Financial Performance of Jordanian Insurance Companies Listed at Amman Stock Exchange. Journal of Management Research, 4(2).
Altman, E. I., 1984. The success of business failure prediction models: An international survey. Journal of Banking and Finance, 8(2), 171-198.
Aasen, M. R., 2011. Applying Altman’s Z-Score to the Financial Crisis: an empirical study of financial distress on Oslo Stock Exchange.
Agarwal, V., & Taffler, R., 2007. Twenty‐five years of the Taffler z‐score model: Does it really have predictive ability? Accounting and Business Research, 37(4), 285-300.
Almajali, A. Y., Alamro, S. A., & Al-Soub, Y. Z., 2012. Factors Affecting the Financial Performance of Jordanian Insurance Companies Listed at Amman Stock Exchange. Journal of Management Research, 4(2).
Altman, E. I., 1984. The success of business failure prediction models: An international survey. Journal of Banking and Finance, 8(2), 171-198.
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UCI(KEPA) : I410-ECN-0101-2016-326-002857098