Impact of Gender-Based Policies on Employee Productivity and Organizational Growth

Authors

  • Naresh Amatya Tribhuvan University, Kathmandu, Nepal Author

DOI:

https://doi.org/10.64229/s6f9gh39

Keywords:

Employee Productivity, Family-Friendly Policies, Flexible Work Arrangements, Gender-Based Policies, Governance, Organizational Growth, Workplace Diversity

Abstract

This paper examines how gender-based policies including board gender quotas, family-friendly policies (paid parental leave, childcare subsidies), flexible/remote work arrangements and pay-transparency / anti-discrimination measures affect employee productivity and organizational growth. Drawing on a systematic thematic review of experimental, quasi-experimental and meta-analytic evidence, the study synthesizes firm-level and employee-level outcomes and proposes a unified empirical framework for causal evaluation (staggered difference-in-differences, event-study and individual-level mediation analysis). The review followed PRISMA guidelines to ensure replicability and methodological transparency. The evidence suggests that (a) targeted policies that reduce work-family conflict (paid leave, childcare subsidies, family-supportive supervision) increase employee retention, job satisfaction and measured productivity (employee output, minutes worked, sales per employee), with effect sizes typically small-to-moderate but economically meaningful. (b) Board quotas and increased female representation tend to strengthen governance inputs (monitoring, attendance) and increase representation without consistent short-run negative financial effects; long-run productivity and growth effects are context-dependent. (c) Flexible/telework improves productivity under appropriate managerial systems (Bloom et al., experiment: +13% productivity) but requires inclusive practices to realize team benefits. Mechanisms include reduced turnover and absenteeism, improved morale and human-capital continuity and enhanced decision-making through gender-diverse perspectives.

References

[1]McKinsey & Company. (2020). Diversity wins: How inclusion matters. https://www.mckinsey.com/featured-insights/diversity-and-inclusion/diversity-wins-how-inclusion-matters

[2]Organisation for Economic Co-operation and Development (OECD). (2022). Gender equality at work: Transforming policies for a changing world. OECD Publishing. https://www.oecd.org/en/publications/gender-equality-at-work_6cda329d-en.htm

[3]Post, C. & Byron, K. (2015). Women on boards and firm financial performance: A meta-analysis. Academy of Management Journal, 58(5), 1546-1571. https://doi.org/10.5465/amj.2013.0319

[4]Olivetti, C. & Petrongolo, B. (2017). The economic consequences of family policies: Lessons from a century of legislation in high-income countries. Journal of Economic Perspectives, 31(1), 205-230. https://doi.org/10.1257/jep.31.1.205

[5]Bertay, A. C., Dordevic, L. & Sever, C. (2020). Gender inequality and economic growth: Evidence from industry-level data (IMF Working Paper No. 2020/119). International Monetary Fund. https://www.imf.org/-/media/Files/Publications/WP/2020/English/wpiea2020119-print-pdf.ashx

[6]French, K. A., Dumani, S., Allen, T. D. & Shockley, K. M. (2018). A meta-analysis of work-family conflict and social support. Psychological Bulletin, 144(3), 284-314. https://doi.org/10.1037/bul0000120

[7]De Acutis, C., Weber, A. & Wurm, E. (2024). The effects of board gender quotas: A meta-analysis. Labour Economics. Advance online publication. https://doi.org/10.1016/j.labeco.2024.102634

[8]Bennett, B., Erel, I., Stern, L. H. & Wang, Z. (2020). Paid leave pays off: The effects of paid family leave on firm performance (NBER Working Paper No. 27788). National Bureau of Economic Research. https://www.nber.org/papers/w27788

[9]Çivilidağ, A. & Durmaz, Ş. (2024). Examining the relationship between flexible working arrangements and employee performance: A mini-review. Frontiers in Psychology, 15, Article 1398309. https://doi.org/10.3389/fpsyg.2024.1398309

[10]Adams, R. B. & Ferreira, D. (2009). Women in the boardroom and their impact on governance and performance. Journal of Financial Economics, 94(2), 291-309. https://doi.org/10.1016/j.jfineco.2008.10.007

[11]Butts, M. M., Casper, W. J. & Yang, T. S. (2013). How important are work-family support policies? A meta-analytic investigation of their effects on employee outcomes. Journal of Applied Psychology, 98(1), 1-25. https://doi.org/10.1037/a0030389

[12]Bloom, N., Liang, J., Roberts, J. & Ying, Z. J. (2015). Does working from home work? Evidence from a Chinese experiment. Quarterly Journal of Economics, 130(1), 165-218. https://doi.org/10.1093/qje/qju032

[13]Rossin-Slater, M., Ruhm, C. & Waldfogel, J. (2011). The effects of California’s paid family leave program on mothers’ leave-taking and subsequent labor market outcomes (NBER Working Paper No. 17715). National Bureau of Economic Research. https://doi.org/10.3386/w17715

[14]Rossin-Slater, M., Ruhm, C. J., & Waldfogel, J. (2013). The effects of California's paid family leave program on mothers' leave-taking and subsequent labor market outcomes. Journal of Policy Analysis and Management, 32(2), 224-245. https://doi.org/10.1002/pam.21676

[15]Callaway, B. & Sant’Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. https://doi.org/10.1016/j.jeconom.2020.12.001

[16]Sun, L. & Abraham, S. (2021). Estimating dynamic treatment effects in event studies with heterogeneous treatment effects. Journal of Econometrics, 225(2), 175-199. https://doi.org/10.1016/j.jeconom.2020.12.006

[17]Creswell, J. W. & Plano Clark, V. L. (2017). Designing and conducting mixed methods research (3rd ed.). Sage.

[18]Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71

[19]Patterson, K. K., Gage, W. H., Brooks, D., Black, S. E., & McIlroy, W. E. (2010). Evaluation of gait symmetry after stroke: A comparison of current methods and recommendations for standardization. Gait & Posture, 31(2), 241-246. https://doi.org/10.1016/j.gaitpost.2009.10.014

[20]Colquitt, J. A. (2001). On the dimensionality of organizational justice: A construct validation of a measure. Journal of Applied Psychology, 86(3), 386-400. https://doi.org/10.1037/0021

[21]Imai, K., Keele, L. & Tingley, D. (2010). A general approach to causal mediation analysis. Psychological Methods, 15(4), 309-334. https://doi.org/10.1037/a0020761

[22]Choudhury, P., Foroughi, C., & Larson, J. (2021). Work-from-anywhere: The productivity effects of geographic flexibility. Strategic Management Journal, 42(4), 655-683. https://doi.org/10.1002/smj.3262

[23]Bakker, A. B. & Demerouti, E. (2007). The Job Demands-Resources model: State of the art. Journal of Managerial Psychology, 22(3), 309-328. https://doi.org/10.1108/02683940710733115

Downloads

Published

2025-11-27

Issue

Section

Articles