IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v42y2021i1p21-33.html
   My bibliography  Save this article

The role of human capital on the performance of manufacturing firms in Bangladesh

Author

Listed:
  • Shamsuzzoha
  • Makoto Tanaka

Abstract

The efficiency determinants of manufacturing firms in developing countries have received increasing attention over the past few decades. This study examines the role of top managers' human capital and other exogenous determinants of the efficiency of manufacturing firms in Bangladesh by using heteroscedastic single‐step stochastic frontier analysis. We find that general human capital represented by educational qualification and specific human capital formed by work specific experience show different ways of impact on firm performance. Specifically, education has both a direct impact on firm outputs and an indirect impact as an efficiency determinant, whereas experience affects only technical efficiency.

Suggested Citation

  • Shamsuzzoha & Makoto Tanaka, 2021. "The role of human capital on the performance of manufacturing firms in Bangladesh," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 21-33, January.
    • Handle: RePEc:wly:mgtdec:v:42:y:2021:i:1:p:21-33
    DOI: 10.1002/mde.3210
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3210
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.3210?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Van Biesebroeck, Johannes, 2005. "Firm Size Matters: Growth and Productivity Growth in African Manufacturing," Economic Development and Cultural Change, University of Chicago Press, vol. 53(3), pages 545-583, April.
    2. Tetsushi Sonobe & John E. Akoten & Keijiro Otsuka, 2009. "An Exploration into the Successful Development of the Leather‐Shoe Industry in Ethiopia," Review of Development Economics, Wiley Blackwell, vol. 13(4), pages 719-736, November.
    3. J. Bradford Jensen & Robert H. McGuckin & Kevin J. Stiroh, 2001. "The Impact Of Vintage And Survival On Productivity: Evidence From Cohorts Of U.S. Manufacturing Plants," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 323-332, May.
    4. Keijiro Otsuka & Tetsushi Sonobe, 2018. "The Role of Human Capital in Cluster†Based Industrial Development," The Developing Economies, Institute of Developing Economies, vol. 56(2), pages 104-116, June.
    5. Hong Tan & Lopez-Acevedo, Gladys, 2003. "Mexico : in-firm training for the knowledge economy," Policy Research Working Paper Series 2957, The World Bank.
    6. Joaquin Maudos & Jose Manuel Pastor & Lorenzo Serrano, 2003. "Human capital in OECD countries: Technical change, efficiency and productivity," International Review of Applied Economics, Taylor & Francis Journals, vol. 17(4), pages 419-435.
    7. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    8. Hung-pin Lai & Cliff Huang, 2010. "Likelihood ratio tests for model selection of stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 34(1), pages 3-13, August.
    9. 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.
    10. Sophia P. Dimelis & Sotiris K. Papaioannou, 2014. "Human capital effects on technical inefficiency: a stochastic frontier analysis across industries of the Greek economy," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(6), pages 797-812, September.
    11. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    12. Thi Bich Tran & R. Quentin Grafton & Tom Kompas, 2008. "Firm Efficiency in a Transitional Economy: Evidence from Vietnam," Asian Economic Journal, East Asian Economic Association, vol. 22(1), pages 47-66, March.
    13. Hailu, Kidanemariam Berhe & Tanaka, Makoto, 2015. "A “true” random effects stochastic frontier analysis for technical efficiency and heterogeneity: Evidence from manufacturing firms in Ethiopia," Economic Modelling, Elsevier, vol. 50(C), pages 179-192.
    14. Iván Major, 2008. "Technical Efficiency, Allocative Efficiency and Profitability in Hungarian Small and Medium-Sized Enterprises: A Model with Frontier Functions," Europe-Asia Studies, Taylor & Francis Journals, vol. 60(8), pages 1371-1396.
    15. Khondoker Abdul Mottaleb & Tetsushi Sonobe, 2011. "An Inquiry into the Rapid Growth of the Garment Industry in Bangladesh," Economic Development and Cultural Change, University of Chicago Press, vol. 60(1), pages 67-89.
    16. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    17. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    18. Sangho Kim, 2003. "Identifying And Estimating Sources Of Technical Inefficiency In Korean Manufacturing Industries," Contemporary Economic Policy, Western Economic Association International, vol. 21(1), pages 132-144, January.
    19. Brada, Josef C & King, Arthur E & Ma, Chia Ying, 1997. "Industrial Economics of the Transition: Determinants of Enterprise Efficiency in Czechoslovakia and Hungary," Oxford Economic Papers, Oxford University Press, vol. 49(1), pages 104-127, January.
    20. Fernandes, Ana M., 2008. "Firm Productivity in Bangladesh Manufacturing Industries," World Development, Elsevier, vol. 36(10), pages 1725-1744, October.
    21. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    22. MA Hossain & ND Karunaratne, 2004. "Trade Liberalisation and Technical Efficiency: Evidence from Bangladesh Manufacturing Industries," Journal of Development Studies, Taylor & Francis Journals, vol. 40(3), pages 87-114.
    23. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    24. Higuchi, Yuki & Mhede, Edwin P. & Sonobe, Tetsushi, 2019. "Short- and medium-run impacts of management training: An experiment in Tanzania," World Development, Elsevier, vol. 114(C), pages 220-236.
    25. Theodore W. Schultz, 1962. "Reflections on Investment in Man," NBER Chapters, in: Investment in Human Beings, pages 1-8, National Bureau of Economic Research, Inc.
    26. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    27. William Easterly, 2002. "The Elusive Quest for Growth: Economists' Adventures and Misadventures in the Tropics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550423, April.
    28. Rhee, Yung Whee, 1990. "The catalyst model of development: Lessons from Bangladesh's success with garment exports," World Development, Elsevier, vol. 18(2), pages 333-346, February.
    29. Bee Yan Aw & Mark J. Roberts & Tor Winston, 2005. "The Complementary Role of Exports and R&D Investments as Sources of Productivity Growth," NBER Working Papers 11774, National Bureau of Economic Research, Inc.
    30. Anaya, Karim L. & Pollitt, Michael G., 2017. "Using stochastic frontier analysis to measure the impact of weather on the efficiency of electricity distribution businesses in developing economies," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1078-1094.
    31. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    32. Karine Chapelle & Patrick Plane, 2005. "Productive Efficiency In The Ivorian Manufacturing Sector: An Exploratory Study Using A Data Envelopment Analysis Approach," The Developing Economies, Institute of Developing Economies, vol. 43(4), pages 450-471, December.
    33. Hoang Nam, Vu & Sonobe, Tetsushi & Otsuka, Keijiro, 2009. "An inquiry into the transformation process of village-based industrial clusters: The case of an iron and steel cluster in northern Vietnam," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 568-581, December.
    34. Gary Jefferson & Bai Huamao & Guan Xiaojing & Yu Xiaoyun, 2006. "R&D Performance in Chinese industry," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 345-366.
    35. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    36. Gerald Scully, 1999. "Reform and Efficiency Gains in the New Zealand Electrical Supply Industry," Journal of Productivity Analysis, Springer, vol. 11(2), pages 133-147, April.
    37. Alvarez, Roberto & Crespi, Gustavo, 2003. "Determinants of Technical Efficiency in Small Firms," Small Business Economics, Springer, vol. 20(3), pages 233-244, May.
    38. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    39. Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-111, January.
    40. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    41. Richard Kneller & Philip Andrew Stevens, 2006. "Frontier Technology and Absorptive Capacity: Evidence from OECD Manufacturing Industries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 1-21, February.
    42. Le, Viet & Harvie, Charles, 2010. "Firm Performance in Vietnam:Evidence from Manufacturing Small and Medium Enterprises," Economics Working Papers wp10-04, School of Economics, University of Wollongong, NSW, Australia.
    43. Charoenrat, Teerawat & Harvie, Charles, 2014. "The efficiency of SMEs in Thai manufacturing: A stochastic frontier analysis," Economic Modelling, Elsevier, vol. 43(C), pages 372-393.
    44. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    45. Chudnovsky, Daniel & Lopez, Andres & Pupato, German, 2006. "Innovation and productivity in developing countries: A study of Argentine manufacturing firms' behavior (1992-2001)," Research Policy, Elsevier, vol. 35(2), pages 266-288, March.
    46. Adugna Lemi & Ian Wright, 2020. "Exports, foreign ownership, and firm-level efficiency in Ethiopia and Kenya: an application of the stochastic frontier model," Empirical Economics, Springer, vol. 58(2), pages 669-698, February.
    47. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Guangchun Jin & Jian Xu, 2022. "Does Intellectual Capital Affect Financial Leverage of Chinese Agricultural Companies? Exploring the Role of Firm Profitability," Sustainability, MDPI, vol. 14(5), pages 1-14, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    2. repec:cte:wsrepe:ws121007 is not listed on IDEAS
    3. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    4. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    5. Jamasb, Tooraj & Llorca, Manuel & Khetrapal, Pavan & Thakur, Tripta, 2021. "Institutions and performance of regulated firms: Evidence from electricity distribution in India," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 68-82.
    6. Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2015. "A post-truncation parameterization of truncated normal technical inefficiency," Journal of Productivity Analysis, Springer, vol. 44(2), pages 209-220, October.
    7. Ajayi, V. & Weyman-Jones, T., 2021. "State-Level Electricity Generation Efficiency: Do Restructuring and Regulatory Institutions Matter in the US?," Cambridge Working Papers in Economics 2166, Faculty of Economics, University of Cambridge.
    8. Deng, Yaguo, 2024. "A Bayesian semi-parametric approach to stochastic frontier models with inefficiency heterogeneity," DES - Working Papers. Statistics and Econometrics. WS 43837, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Cliff Huang & Hung-pin Lai, 2012. "Estimation of stochastic frontier models based on multimodel inference," Journal of Productivity Analysis, Springer, vol. 38(3), pages 273-284, December.
    10. Cheol-Keun Cho & Peter Schmidt, 2020. "The wrong skew problem in stochastic frontier models when inefficiency depends on environmental variables," Empirical Economics, Springer, vol. 58(5), pages 2031-2047, May.
    11. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    12. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    13. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2016. "Efficiency and environmental factors in the US electricity transmission industry," Energy Economics, Elsevier, vol. 55(C), pages 234-246.
    14. Young Hoon Lee, 2009. "Frontier Models and their Application to the Sports Industry," Working Papers 0903, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), revised 2009.
    15. Charoenrat, Teerawat & Harvie, Charles, 2014. "The efficiency of SMEs in Thai manufacturing: A stochastic frontier analysis," Economic Modelling, Elsevier, vol. 43(C), pages 372-393.
    16. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    17. Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.
    18. Liu, Yanyan, 2006. "Model Selection in Stochastic Frontier Analysis: Maize Production in Kenya," 2006 Annual meeting, July 23-26, Long Beach, CA 21281, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Fernandes, Ana M., 2008. "Firm Productivity in Bangladesh Manufacturing Industries," World Development, Elsevier, vol. 36(10), pages 1725-1744, October.
    20. Adugna Lemi & Ian Wright, 2020. "Exports, foreign ownership, and firm-level efficiency in Ethiopia and Kenya: an application of the stochastic frontier model," Empirical Economics, Springer, vol. 58(2), pages 669-698, February.
    21. Paul, Satya & Shankar, Sriram, 2018. "On estimating efficiency effects in a stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 271(2), pages 769-774.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:mgtdec:v:42:y:2021:i:1:p:21-33. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.