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Efficiency of the Indian leather firms: some results obtained using the two conventional methods

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  • Anup Bhandari
  • Pradip Maiti

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  • Anup Bhandari & Pradip Maiti, 2012. "Efficiency of the Indian leather firms: some results obtained using the two conventional methods," Journal of Productivity Analysis, Springer, vol. 37(1), pages 73-93, February.
    • Handle: RePEc:kap:jproda:v:37:y:2012:i:1:p:73-93
    DOI: 10.1007/s11123-011-0219-1
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    1. Wang, Wei Siang & Schmidt, Peter, 2009. "On the distribution of estimated technical efficiency in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 148(1), pages 36-45, January.
    2. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    3. Kankana Mukherjee & Subhash C. Ray, 2005. "Technical Efficiency And Its Dynamics In Indian Manufacturing: An Inter State Analysis," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 40(2), pages 101-125, December.
    4. Anup Kumar Bhandari & Subhash C. Ray, 2012. "Technical Efficiency In The Indian Textiles Industry: A Non‐Parametric Analysis Of Firm‐Level Data," Bulletin of Economic Research, Wiley Blackwell, vol. 64(1), pages 109-124, January.
    5. T. A. Bhavani, 1991. "Technical Efficiency in Indian Modern Small Scale Sector: An Application of Frontier Production function," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 26(2), pages 149-166, July.
    6. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    7. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    8. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    9. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    10. George Battese & Sumiter Broca, 1997. "Functional Forms of Stochastic Frontier Production Functions and Models for Technical Inefficiency Effects: A Comparative Study for Wheat Farmers in Pakistan," Journal of Productivity Analysis, Springer, vol. 8(4), pages 395-414, November.
    11. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    12. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    13. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    14. Lall, Somik V. & Rodrigo, G. Chris, 2001. "Perspectives on the Sources of Heterogeneity in Indian Industry," World Development, Elsevier, vol. 29(12), pages 2127-2143, December.
    15. Anup Kumar Bhandari & Pradip Maiti, 2007. "Efficiency of Indian Manufacturing Firms: Textile Industry as a Case Study," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(1), pages 71-88, April.
    16. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    17. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    18. Page, John Jr., 1984. "Firm size and technical efficiency : Applications of production frontiers to Indian survey data," Journal of Development Economics, Elsevier, vol. 16(1-2), pages 129-152.
    19. Karl Lundvall & George Battese, 2000. "Firm size, age and efficiency: Evidence from Kenyan manufacturing firms," Journal of Development Studies, Taylor & Francis Journals, vol. 36(3), pages 146-163.
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    Citations

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    Cited by:

    1. Anup Kumar Bhandari & Vipin V, 2018. "Does Export Intensity Affect Firm Performance? Evidence from Basic Metal Industry in India," Working Papers id:12767, eSocialSciences.
    2. Ramesh Jangili, 2019. "The Impact of size and group affiliation in emerging markets: A Cost efficiency analysis of Indian firms," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2019-036, Indira Gandhi Institute of Development Research, Mumbai, India.
    3. Mariarosaria Agostino & Sabrina Ruberto & Francesco Trivieri, 2018. "Lasting lending relationships and technical efficiency. Evidence on European SMEs," Journal of Productivity Analysis, Springer, vol. 50(1), pages 25-40, October.
    4. Arpita Ghose & Chandrima Chakraborti, 2013. "The Relative Role of Imports and Exports in Explaining Productivity of Indian Bio-Pharmaceutical Firms: Evidence from Non Parametric Data Envelopment Analysis," Foreign Trade Review, , vol. 48(2), pages 165-201, May.
    5. Anup Kumar Bhandari, 2021. "Withdrawal of the multifibre agreement and Indian textile industry: Concerns, efforts, and achievements," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1397-1436, August.

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    More about this item

    Keywords

    Leather industry; Technical efficiency; Data envelopment analysis; Stochastic frontier analysis; Technological heterogeneity; Technology closeness ratio; JEL Classification; C34; D24; L67;
    All these keywords.

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L67 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Consumer Nondurables: Clothing, Textiles, Shoes, and Leather Goods; Household Goods; Sports Equipment

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