Technical Efficiency Estimation via Metafrontier Technique with Factors that Affect Supply Chain Operations
AbstractThis paper presents a metafrontier production function and investigates factors that affect textile and apparel supply chain operations for firms operating under different technologies and ownership structures. Results show variability in efficiency scores. In addition, we find supply chain operations shift the production function and enhance technical efficiency.
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Bibliographic InfoArticle provided by College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan in its journal International Journal of Business and Economics.
Volume (Year): 10 (2011)
Issue (Month): 2 (August)
apparel; metafrontier; supply chain variables technical efficiency; textiles;
Find related papers by JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- L67 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Consumer Nondurables
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
- George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
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