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Technical Efficiency and Total Factor Productivity Changes in Manufacturing Industries: Recent Advancements in Stochastic Frontier Model Approach

Author

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  • Huynh, Linh
  • Hoang, Hien

Abstract

This paper aims to evaluate total factor productivity growth (TFPG) of Vietnamese manufacturing industries over the period 2000 – 2019. The stochastic frontier models were applied to decompose the sources of TFPG into technical efficiency changes, technological changes, allocative efficiency, and scale effects. We find that technological changes and the rate of scale component effect have been the major driving force of productivity growth in the 2-digit manufacturing industries as well as total manufacturing industry. In contrast, technical efficiency changes and allocative efficiency had negative effects on TFPG. Furthermore, TFP in the manufacturing sector has declined at an annual rate of -0.062 during the period of 2010 – 2015, then it grows continuously during the period of 2015 - 2019, with a rate of 5.4%. This study suggests that specific guidelines are required to promote productivity in each industrial sectors. For example, Industries with slow technological progress (textile and electrical products) require the introduction of new frontier technology. Government policy should encourage investments that can introduce newly developed production technology. In addition, considering allocative inefficiency, a policy to enhance TFP by improving resource allocation should be pursued, which be done by promoting free markets and lessening government intervention.

Suggested Citation

  • Huynh, Linh & Hoang, Hien, 2021. "Technical Efficiency and Total Factor Productivity Changes in Manufacturing Industries: Recent Advancements in Stochastic Frontier Model Approach," MPRA Paper 117621, University Library of Munich, Germany, revised 2022.
    • Handle: RePEc:pra:mprapa:117621
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    File URL: https://mpra.ub.uni-muenchen.de/117621/1/TFPG%20manuscript%20v1.pdf
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    References listed on IDEAS

    as
    1. Roberto Colombi & Subal Kumbhakar & Gianmaria Martini & Giorgio Vittadini, 2014. "Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency," Journal of Productivity Analysis, Springer, vol. 42(2), pages 123-136, October.
    2. Viet Nguyen, Thanh & Simioni, Michel & Le Van, Dao, 2019. "Assessment of TFP change at provincial level in Vietnam: New evidence using Färe–Primont productivity index," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 329-345.
    3. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    4. 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.
    5. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    6. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    7. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    8. Huynh, Linh & Hoang, Hien & Tran, Hung, 2020. "Does FDI enhance provincial productivity? A panel data analysis in Vietnam," MPRA Paper 117620, University Library of Munich, Germany, revised Aug 2021.
    9. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(2), pages 317-341.
    10. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107609464.
    11. Nguyen, Huong Quynh, 2017. "Business reforms and total factor productivity in Vietnamese manufacturing," Journal of Asian Economics, Elsevier, vol. 51(C), pages 33-42.
    12. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    13. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    14. Subal Kumbhakar & M. Denny & M. Fuss, 2000. "Estimation and decomposition of productivity change when production is not efficient: a paneldata approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 312-320.
    15. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    16. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    17. Sangho Kim & Gwangho Han, 2001. "A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 16(3), pages 269-281, November.
    18. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    19. Quang Canh Le & Thi Phuong Thu Nguyen & Tuyet Nhung Do, 2021. "State ownership, quality of sub-national governance, and total factor productivity of firms in Vietnam," Post-Communist Economies, Taylor & Francis Journals, vol. 33(1), pages 133-146, January.
    20. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    21. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
    22. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    23. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    24. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    25. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    26. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    27. 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.
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    More about this item

    Keywords

    Total factor productivity growth; Technical efficiency; Technological progress; Stochastic Frontier Production Function.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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