Abstract
This study was conducted to estimate the technical efficiency of micro and small-scale manufacturing enterprises in Selected Towns of Jimma Zone, Oromia National Regional State by using the Stochastic Frontier Approach. The analysis used Cross-sectional data which was collected from 343 Micro and small-scale manufacturing enterprises in 2018. The finding shows the mean technical efficiency of sampled Micro and Small-Scale Manufacturing Enterprises is about 54.8% and output value-added is positively affected by capital input and raw material, but negatively affected by labor input. The finding from the inefficiency model indicates that technical inefficiency of sampled Micro and Small-Scale Manufacturing Enterprises is negatively affected by the amount of finance used for initial investment expenses; lower for enterprises which received land from the government, participate only in “Ekub”, participate in both “Ekub” and “Edir”. However, seasonal change in demand for a product is found to make technical inefficiency of enterprises higher. Thus, by improving Micro and Small-Scale Manufacturing Enterprises access to land, market, sufficient startup capital and strengthening social capital, it is possible to increase output valueadded.
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References
- Aigner, D. C., Lovell, K. & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models, Journal of Econometrics, (6), 21–37.
- Amare, A. E. & Raghurama, A. (2017). Micro, Small and Medium Enterprises (MSMEs) Development Strategies in Ethiopia: Retrospective and Prospective Analysis. IRACST – International Journal of Commerce, Business and Management (IJCBM), 6.
- Berihu, A., Abebaw, Z. & Biruk, T. (2014). Identifying Key Success Factors and Constraints in Ethiopia’s Mse Development: An Exploratory Research. Ethiopian Development Research Institute Addis Ababa, Ethiopia October 2014
- Cochran, W. G. (1977). Sampling techniques (3rd ed.). New York: John Wiley & Sons.
- Coelli, T. J. (1996). A Computer Program for Stochastic Frontier Production and Cost Function Estimation center for Efficiency and Productivity Analysis (CEPA) Australia.
- CSA. (2007). Population and Housing Census of 2007 Ethiopia
- Donald, C. M. & Carl, L. (1998). The Dynamics of Micro and Small Enterprises in Developing Countries. World Development, 26(1), 6I-74.
- EEA. (2015). Small and Micro Enterprises (SMEs) Development in Ethiopia: Policies, Performances, Constraints and Prospects. EEA Research Brief Issue, 5.
- Erkoc, T. E. (2012). Estimation Methodology of Economic Efficiency: Stochastic Frontier Analysis vs. Data Envelopment Analysis. International Journal of Academic Research in Economics and Management Sciences, 1(1).
- Essien, A. E. & Yakub, A. B. (2007). Technical efficiency of small and medium scale industries (SMI) in Nigeria: evidence from nation-wide sample survey. Studia universitatis Babes-Bolyai, Negotia, Lii, 2.
- Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253-290.
- FDRE. (2016). Growth and Transformation Plan II (GTP II) Volume I: Main Text. National Planning Commission May, 2016 Addis Ababa.
- Gamachis, G. (2017). Productivity of MSEs: DEA Approach. International Journal of Scientific and Research Publications, 1.
- Gebreyesus, M. (2007). Growth of micro-enterprises: Empirical evidence from Ethiopia.
- Hinderink, J. & Titus, M. (2002). Small towns and regional development: Major findings and policy implications from comparative research. Urban studies, 39(3), 379-391.
- Igbekele, A. A. & Adebiye, G. D. (2003). Efficiency of microenterprises in the Nigerian economy. AERC Research Paper 134 African Economic Research Consortium, Nairobi September 2003
- Mosomi, J. N. Y. (2011). Technical Efficiency of Micro and Small Enterprises in Kenya. Research Paper Submitted in Partial Fulfillment of the Requirements of the degree of Master of Arts in Economics of the University of Nairobi.
- Rajesh, R. S. N. (2007). Technical Efficiency in the Informal Manufacturing Enterprises: Firm level evidence from an Indian state. MPRA, Munich Personal RePEc Archive.
- Tekle, L., Sandraa, R. & Berhanu, K. (2016). Determinant of Technical Efficiencies of Micro and Small Enterprises in Wolaita Zone, Ethiopia. Journal of Economics and Sustainable Development, 7(21).
- Wasihun, R. & Paul, I. (2010). Growth determinants of women operated micro and small enterprises in Addis Ababa. Journal of Sustainable Development in Africa, 12(6), 233-246.
- William, H. G. (2008). The econometric approach to efficiency analysis. Oxford University press.
- Zulridah, M. N. & Liew, Ch. S. (2014). Technical Efficiency of Malaysian Manufacturing Small and Medium Enterprises, 676–688.
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Copyright (c) 2019 Haile Girma, Gadisa Abera Dinka, Mohammedsani Ali Gelan (Author)
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