Data Envelopment Analysis and Debt Management Plan

Authors

  • Amir Salami  Politecnico di Milano, Milan, Italy

Keywords:

Plan, Technical efficiency, Stochastic Frontier, data envelopment analysis

Abstract

The World Trade Organization(WTO) has been trying to equilibrate business ever since. Different studies have been done to propose the most reliable method for compensating the debt of un-health countries. In this paper, I review some of the available method for studding this research question and proposing a new strategy to deal with this problem. We argue that by using data envelopment analysis (DEA) the technical efficiency of each country who is a member of WTO can be calculated and in the second step this variable can be used as an independent variable for further research. Using dummy variable can help us to distinguish countries from each other. Using statistical tests, the variables which have more power in separating insolvent member countries from healthy countries. along the significant financial factor to predict financial compensation, the output of countries can increase accuracy of the model.

References

  1. Pattillo, C. A., Poirson, H., & Ricci, L. A. (2002). External debt and growth (No. 2002-2069). International Monetary Fund.
  2. Alesina, A., & Tabellini, G. (1989). External debt, capital flight and political risk. Journal of international Economics, 27(3-4), 199-220. Hosmer, D. W. & S. Lemeshow (2000), Applied Logistic Regression, New York: John  Wiley & Sons.
  3. Ciftcioglu S, Almasifard M (2015) The response of consumption to alternative measures of financial development and real interest rate in a sample of central and east European countries Jo Econ 3(2):1-6
  4. Amoateng, K., & Amoako-Adu, B. (1996). Economic growth, export and external debt causality: the case of African countries. Applied Economics, 28(1), 21-27.
  5. Gordon, M. J. (1971), "Towards a Theory of Financial Distress", The Journal of Finance,  Vol. 26, PP. 347-356.
  6. Khorasani ST, Almasifard M (2017) An inventory model with quantity discount offer policy for perishable goods in the twolevel supply chain. Int J Eng Technol 9(4):2828-2834
  7. Patrick, Fitz P. J. (1931), "A Comparison of Ratios of Successful Industrial Enterprises  with Those of Failed Firms", Certified Public Accountant.
  8. Weston J. Fred & E. Copeland, Thomas (1992), Managerial Finance, Dryden Press, 9th  Edition
  9. Merwin, C. L. (1942), Financing Small Corporations in Five Manufacturing Industries,  New York: National Bureau of Economic Research. 
  10. Ohlson, J. (1980), "Financial Ratios and the Probabilistic Prediction of Bankruptcy",  Journal of Accounting Research, Vol. 18, No. 1, PP. 109-131.
  11. Rannce, R. (1999), "The Application of Altmans Revised Four- Variable Z-Score Bankruptcy Prediction Model for Retail Firms", Available at www.lib.umi.com/disserations/fullcit/.9938887
  12. Aigner, D. J., Lovell, C. A. K. and Schmidt, P. (1977) Formulation and estimation of stochastic frontier production function models, Journal of Econometrics, 6, 21-37.
  13. Banker, R. D., Gadh, V. M. and Gorr, W. L. (1993) A Monte Carlo comparison of two production frontier estimation methods: corrected ordinary least squares and data envelopment analysis, European Journal of Operational Research, 67, 332-43
  14. Thomas, A. and Tauer, L. (1994) Linear input aggregation bias in nonparametric technical efficiency measurement, Canadian Journal of Agricultural Economics, 42, 77-86.
  15. Hjalmarsson, L., Kumbhakar, S. and Heshmati, A. (1996) DEA, DFA and SFA: a comparison, Journal of Productivity Analysis, 7, 303-27.
  16. TORABZADEH KHORASANI, S. A. S. A. N., & MEMARIAN, M. (2012). Integrated and comprehensive study of design driven innovation added value.
  17. Khorasani, S. T., & Almasifard, M. (2017). Evolution of Management Theory within 20 Century: A Systemic Overview of Paradigm Shifts in Management. International Review of Management and Marketing, 7(3), 134-137
  18. M. Almasifard, "An econometric analysis of financial development's effects on the share of final consumption expenditure in gross domestic product", Eastern Mediterranean university, June 2013
  19. Almasifard, M., & Khorasani, S. T. (2017). Relationship Between Domestic Production in Agricultural and Industrial Sectors and Purchasing Power by Controlling for International Trade Variables (Iran). International Journal of Economics and Financial Issues, 7(4), 244-253.
  20. Saeedi, H. (2017). Investigating the Effect of Environmental Policy-Making on Implementation of Green Supply Chain.

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 3, Issue 8, November-December-2017

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Amir Salami, " Data Envelopment Analysis and Debt Management Plan, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.190-192, November-December-2017.