Mohajan, Haradhan (2021): Estimation of Cost Minimization of Garments Sector by Cobb-Douglas Production Function: Bangladesh Perspective. Published in: Annals of Spiru Haret University Economic Series , Vol. 20, No. 2 (30 June 2021): pp. 267-299.
Preview |
PDF
MPRA_paper_108565.pdf Download (902kB) | Preview |
Abstract
The Cobb-Douglas production function in the field of economics has a long history. In mathematical economics, it is used to find the functional relationship between the economic inputs and potential outputs. This study applies the Cobb-Douglas production function to predict the cost minimization policies of a running garments industry of Bangladesh. In the study the effects of the variation rate of capital, labor and other inputs with returns to scale in the garments industry of Bangladesh are examined. In multivariable calculus, the method of Lagrange multiplier is a very useful and powerful technique. In this study interpretation of Lagrange multiplier is given to predict the cost minimization policy using Cobb-Douglas production function. An attempt has been taken here to show the production of garments in minimum cost by using statistical analysis.
Item Type: | MPRA Paper |
---|---|
Original Title: | Estimation of Cost Minimization of Garments Sector by Cobb-Douglas Production Function: Bangladesh Perspective |
English Title: | Estimation of Cost Minimization of Garments Sector by Cobb-Douglas Production Function: Bangladesh Perspective |
Language: | English |
Keywords: | Production function, Cobb-Douglas model, cost minimization, returns to scale |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables C - Mathematical and Quantitative Methods > C5 - Econometric Modeling C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis |
Item ID: | 108565 |
Depositing User: | Haradhan Kumar Mohajan |
Date Deposited: | 04 Jul 2021 14:20 |
Last Modified: | 04 Jul 2021 14:20 |
References: | Arrow, K. J., Dasgupta, P., Goulder, L. H., Mumford, K. J., & Oleson, K. (2010). Sustainability and the Measurement of Wealth. NIESR Discussion Paper No. 369. National Institute of Economic and Social Research, Dean Trench Street, London. Adams, J., Khan, H. T. A., Raeside, R., & White, D. (2007). Research Methods for Graduate Business and Social Science Students. Sage Publications Ltd., London. Ahmad, A., & Khan, M. (2015). Estimating the Cobb-Douglas Production Function. International Journal of Research in Business Studies and Management, 2(5), 32-33. Barros, A. R. (2017). Relative Declining in the 19th Century, Roots of Brazilian Relative Economic Backwardsness. ScienceDirect, Academic Press, Elsevier Inc. Baxley, J. V., & Moorhouse, J. C. (1984). Lagrange Multiplier Problems in Economics. The American Mathematical Monthly, 91(7), 404-412. Besanko, D. A., & Braeutigam, R. R. (2010). Microeconomics (4th Ed.). John Wiley & Sons. Biddle, J. (2012). The Introduction of the Cobb-Douglas Regression. Journal of Economic Perspective, 26(2), 223-236. Brown, M. (2017). Cobb-Douglas Functions. The New Palgrave Dictionary of Economics. Palgrave Macmillan, UK. Cobb, C. W., & Douglass, P. H. (1928). A Theory of Production. American Economics Review, 18(1), 139-165. Cottrell, A. (2019). The Cobb-Douglas Production Function. Economics, 207, Lal Bahadur Shastri Institute of Management, Economics 111001. Felipe, J., & Adams, F. G. (2005). The Estimation of the Cobb-Douglas Function: A Retrospective View. Eastern Economic Journal, 31(3), 427-444. Gelles, G. M., & Mitchell, D. W. (1996). Returns to Scale and Economies of Scale: Further Observations. Journal of Economic Education, 27(3), 259-261. Grinnell, R. Jr. (Eds.) (1993). Social Work Research and Evaluation (4th Ed.). Itasca, I L, F. E. Peacock. Gordon, D., & Vaughan, R. (2011). The Historical Role of the Production Function in Economics and Business. American Journal of Business Education, 4(4), 25-30. Gupta, U. K. (2016). An Analysis for the Cobb-Douglas Production Function in General Form. International Journal of Applied Research, 2(4), 96-99. Hicks, J. R. (1932). The Theory of Wages. Macmillan & Co., London. Humphery, T. M. (1997). Algebraic Production Functions and Their Uses before Cobb-Douglas. Federal Reserve Bank of Richmond Economic Quarterly, 83(1), 51-83. Husain, S., & Islam, S. M. (2016). A Test for the Cobb-Douglas Production Function in Manufacturing Sector: The Case of Bangladesh. International Journal of Business and Economics Research, 5(5), 149-154. Ioan, C. A., & Ioan, G. (2015). The Complete Theory of Cobb-Douglas Production Function. Acta Universitatis Danubius. Ĺ’conomica, 11(1), 74-114. Khatun, T., & Afroze, S. (2016). Relationship between Real GDP and Labour & Capital by Applying the Cobb-Douglas Production Function: A Comparative Analysis among Selected Asian Countries. Journal of Business Studies, XXXVII(1), 113-119. Kothari, C. R. (2008). Research Methodology: Methods and Techniques (2nd Ed.). New Delhi: New Age International (P) Ltd. Leedy, P. D. & Ormrod, J. (2001). Practical Research: Planning and Design (7th Ed.). Upper Saddle River, NJ: Merrill Prentice Hall. Thousand Oaks: Sage Publications. Lindahl, E. (1933). The Concept of Income. In G. Bagge (Ed.), Economic Essays in Honor of Gustav Cassel, London: George Allen & Unwin. Mas-Colell, A., Whinston, M. D., & Green, J. R. (1995). Microeconomic Theory. New York, NY: Oxford University Press. Miller, E. (2008). An Assessment of CES and Cobb-Douglas Production Functions. Working Paper 2008-05, Congressional Budget Office. Mishra, S. K. (2007). A Brief History of Production Functions. MPRA Paper No. 5254. Mohajan, H. K. (2017a). Optimization Models in Mathematical Economics. Journal of Scientific Achievements, 2(5), 30-42. Mohajan, H. K. (2017b). Two Criteria for Good Measurements in Research: Validity and Reliability. Annals of Spiru Haret University Economic Series, 17(3), 58-82. Mohajan, H. K. (2018a). Qualitative Research Methodology in Social Sciences and Related Subjects. Journal of Economic Development, Environment and People, 7(1), 23-48. Mohajan, H. K. (2018b). Aspects of Mathematical Economics, Social Choice and Game Theory. PhD Dissertation, Jamal Nazrul Islam Research Centre for Mathematical and Physical Sciences (JNIRCMPS), University of Chittagong, Chittagong, Bangladesh. Mohajan, H. K. (2020). Quantitative Research: A Successful Investigation in Natural and Social Sciences. Journal of Economic Development, Environment and People, 9(4), 52-79. Mohajan, H. K., Islam, J. N., & Moolio, P. (2013). Optimization and Social Welfare in Economics. Lambert Academic Publishing, Germany. Moolio, P., & Islam, J. N. (2008). Cost Minimization of a Competitive Firm. Indus Journal of Management and Social Sciences, 2(2), 184-160. OECD (2002). Frascati Manual: Proposed Standard Practice for Surveys on Research and Experimental Development (6th Ed.). OECD Publication Service, Paris Cedex, France. Onalan, O., & Basegmez, H. (2018). Estimation of Economic Growth Using Grey Cobb-Douglas Production Function: An Application for US Economy. Journal of Business, Economics and Finance, 7(2), 78-190. Roy, L., Molla, R., & Mohajan, H. K. (2021). Cost Minimization is Essential for the Sustainability of an Industry: A Mathematical Economic Model Approach. Annals of Spiru Haret University Economic Series, 21(1). Rybak, A. (2019). Application of the Cobb-Douglas Production Function to Study the Results of the Production Process and Planning under Turbulent Environment Conditions. Mineral Resources Management, 35(3), 99-118. Sickles, R. C. & Zelenyuk, V. (2019). Measurement of Productivity and Efficiency: Theory and Practice. Cambridge University Press, Cambridge. Wagle, T. P. (2016). Spatial Analysis of Cob-Douglas Production Function in Agriculture Sector of Nepal: An Empirical Analysis. Journal of Advanced Academic Research, 3(II), 101-114. Wicksteed, P. H. (1894). An Essay on the Co-ordination of the Laws of Distribution. Macmillan & Co., London. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/108565 |