从南非产业和地理动态角度看员工多样性属性与员工生产力之间的联系

Gerhardus Van Zyl
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摘要

本研究是正在进行的南非工作场所员工生产力各方面研究项目的一部分。文章的目的是衡量不同员工多样性属性对生产力影响的行业和地域动态,因为南非还没有关于这一特定主题的以经济计量学为重点的出版物。我认为有必要填补员工生产力文献中的这一空白。我采用了一个带有差异指数向量和行业动态向量的员工实际薪酬模型,来估算不同员工多样性属性对员工生产率的溢出效应。为了验证员工实际薪酬模型估计结果的稳健性,我对基于公司的完整数据集进行了固定效应面板数据估计。估计结果表明,三个地理区域中两个行业的生产率模式相同。生产率估算结果表明,较高的员工生产率溢出效应(对所有多样性子类别而言)对地理生产总值较高地区的影响更为突出。本研究的局限性在于,研究重点应放在员工个人层面以及工作场所不同程度的女性薪酬差距对生产率的影响上。本研究采用的估算方法及其结果旨在为人力资源政策辩论做出贡献,辩论的主题是多元化工作场所中不同行业和地域的员工多元化属性对员工生产率的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
South African Industry and Geographic Dynamics Perspective on the Link Between Employee Diversity Attributes and Employee Productivity
This study is part of an ongoing research project on various aspects of employee productivity in the South African workplace. The aim of the article is to measure the industry and geographic dynamics of the impact of different employee diversity attributes on productivity as no South African econometrically focused publications on this particular topic exist. I deemed it important to close this gap in the employee productivity literature. I applied an employee real remuneration model with a dissimilarity index vector and an industry dynamics vector to estimate the spillover effects of employee productivity for different employee diversity attributes. To validate the robustness of the estimates of the employee real remuneration model, estimations of the fixed-effect panel data were done for the full firm-based data sets. The estimation results indicated the same productivity pattern for the two industries in the three geographic areas. The productivity estimates suggest that the impacts of higher employee productivity spillovers (for all diversity subcategories) were more prominent for the area of the stronger gross geographic product. Limitations of this study that should be addressed are studies focused on the individual employee level and the productivity impact of the different levels of female remuneration gaps in the workplace. The estimation methodology applied in this study and the results thereof are intended to contribute to human resource policy debates on the impact of employee diversity attributes on employee productivity across industries and geographic areas in a diverse workplace.
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