Dut Van Vo, Long Hoang Duong, Man Minh Lam Tran, Phu Thanh Nguyen

Main Article Content

Abstract

The paper investigates how labor characteristics affect firm productivity. Recent arguments on the relationship vary. On one hand, the labor force enhances firms’ financial strengths thanks to their manufacturing poductivity; on the other hand, such effects impede operations if overlooked. We proposed three hypotheses with views on such characteristics. First, leadership experience and second, a highly-trained firm labor force are both positively associated with firm productivity, whereas obstruction by labor laws has a negative effect on productivity. In a 123-firm dataset surveyed by the World Bank, the paper reveals that leadership experience and highly trained labor positively affect firm productivity while no statistical evidence was found of obstruction by labor laws. The major findings suggest that, firstly, labor-related theories are properly verified with different analysis settings; secondly, labor characteristics are the primary firm-level competitive power so they should be treated appropriately; thirdly, Vietnamese firms are not likely to be hindered by the country-level labor laws. However, the study constrains itself by not being conducted on a panel dataset to show the pattern over time, and by not treating the leadership experience in a proper, multifaceted way to capture their contribution comprehensively to the business-doing culture in Vietnam.

Keywords: Highly trained workers, leadership experience, firm productivity, Human Capital Theory, labor-productivity relationship.

References

[1] Delgado, M., Ketels, C., Porter, M. E., & Stern, S., “The Determinants of National Competitiveness,” NBER Working Papers, No. 18249 (2012), National Bureau of Economic Research, Inc.
[2] Arnold, J. M., & Hussinger, K., “Export Behavior and Firm Productivity in German Manufacturing: A Firm-Level Analysis,” Review of World Economics, 141 (2) (2005) 219-243.
[3] Hatemi-J, A., & Irandoust, M., “Productivity Performance and Export Performance: A Time-Series Perspective,” Eastern Economic Journal, 27 (2) (2001) 149-164.
[4] Ghosh, A., Mayda, A. M., & Ortega, F., “The Impact of Skilled Foreign Workers on Firms: An Investigation of Publicly Traded US Firms,” CReAM Discussion Paper Series 1442 (2014), Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
[5] Mahy, B., Rycx, F., & Vermeylen, G., “Educational Mismatch and Firm Productivity: Do Skills, Technology and Uncertainty Matter?,” De Economist, 163 (2) (2015) 233-262.
[6] Besley, T., & Burgess, R., “Can Labor Regulation Hinder Economic Performance? Evidence from India,” The Quarterly Journal of Economics, 119 (1) (2004) 91-134.
[7] Chauhan, Y., Lakshmi, K. R., & Dey, D. K., “Corporate Governance Practices, Self-Dealings, and Firm Performance: Evidence from India,” Journal of Contemporary Accounting & Economics, 12 (3) (2016) 274-289.
[8] Becker, G. S., “Investment in Human Capital: A Theoretical Analysis,” Journal of political economy, 70 (5, Part 2) (1962) 9-49.
[9] Huselid, M. A., “The Impact of Human Resource Management Practices on Turnover, Productivity, and Corporate Financial Performance,” Academy of Management Journal. 38 (3) (1995) 635-872.
[10] Ichniowski, C., “Human Resource Management Systems and The Performance of US Manufacturing Susinesses,” No. w3449 (1990), National Bureau of Economic Research, Inc.
[11] Berger, A. N., “The Profit-Structure Relationship in Banking-Tests of Market-Power and Efficient-Structure Hypotheses,” Journal of Money Credit and Banking, 27 (2) (1995) 404-431.
[12] Mayer, C., & Flynn, J., “Canadian Small Business Abroad: Opportunities, Aids and Experiences,” The Business Quarterly, 38 (1973) 33-47.
[13] Ogram, E. W., “Exporters and Non-Exporters: A Profile of Small Manufacturing Firms in Georgia,” Export management: An international context, (1982) 70-84.
[14] Oura, M. M., Zilber, S. N., & Lopes, E. L., “Innovation Capacity, International Experience and Export Performance of SMEs in Brazil,” International Business Review, 25 (4) (2016) 921-932.
[15] Sonnentag, S., “Excellent Software Professionals: Experience, Work activities, and Perception by Peers,” Behaviour & Information Technology, 14 (5) (1995) 289-299.
[16] Maringe, F., & Gibbs, P., Marketing Higher Education: Theory and Practice, McGraw-Hill Education (UK), 2008.







[17] Sen, S., “Productivity Effects of Labour Regulations Evidence in India,” Institute for International Economics Studies, 2018.
[18] Ben Yahmed, S., & Dougherty, S., “Domestic Regulation, Import Penetration and Firm-Level Productivity Growth,” The Journal of International Trade & Economic Development, 26 (4) (2016) 385-409.
[19] Ninh, L. K., “Bribes (Grease Money) on Investment by Non-State Firms in the Mekong River Delta,” Journal of Economic Studies, 358 (3) (2006) 68-76.
[20] Heshmati, A., & Rashidghalam, M., “Labour Productivity in Kenyan Manufacturing and Service Industries,” Determinants of Economic Growth in Africa, Cham: Palgrave Macmillan, 2018, 259-286.
[21] Prajogo, D. I., “The Relationship Between Innovation and Business Performance—A Comparative Study Between Manufacturing and Service Firms,” Knowledge and process management, 13 (3) (2006) 218-225.
[22] Orser, B. J., Hogarth-Scott, S., & Riding, A. L., “Performance, Firm Size, and Management Problem-Solving,” Journal of Small Business Management, 38 (4) (2000) 42-58.
[23] Subramony, M., A Meta‐Analytic Investigation of The Relationship Between HRM Bundles and Firm Performance,” Human Resource Management, 48 (5) (2009) 745-768.
[24] Dokko, G., Wilk, S. L., & Rothbard, N. P., “Unpacking Prior Experience: How Career History Affects Job Performance,” Organization Science, 20 (1) (2009) 51-68.
[25] Loderer, C. F., & Waelchli, U., “Firm Age and Performance,” SSRN, April 30, 2010, https://ssrn.com/abstract=1342248 or http://dx.doi.org/10.2139/ssrn.1342248.
[26] Smith, K. G., Guthrie, J. P., & Chen, M. J., “Strategy, Size and Performance,” Organization Studies, 10 (1) (1989) 63-81.
[27] Hair Jr, J. F., Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., “Partial Least Squares Structural Equation Modeling (PLS-SEM): A Useful Tool for Family Business Researchers,” Journal of Family Business Strategy, 5 (1) (2014) 105-115.