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The purpose of this paper is to examine the relationship between training and education and associated workforce productivity and competitiveness also, to identify new effective strategies for China to maintain and enhance workforce productivity given the depleting abundant workforce supply.

Based on data from China's manufacturing firms that included all state‐owned and non‐state‐owned enterprises with annual revenue greater than ¥5 million in 2004, the authors calculate marginal labor productivity through production function and derived the relationship between workers' education and associated productivity.

At the time China arrives at a Lewisian Turing Point, workforce quality can substitute the quantity to maintain its competitive advantage. Higher workforce productivity generated from improved human capital can offset increases in labor cost, thus creating new impetus for sustained economic growth.

Formal education and workplace learning are complementary in maintaining and enhancing a productivity workforce. To build a new competitive edge for China's economic growth in the short run, enterprise‐based training should be a requirement in all industries.

The authors offer implications for HR managers and organizations on talent management strategies. Implications for governments to develop policies that promote and foster workplace learning and skill building activities are also presented.

This study is one of the first adopting large‐scale enterprise productivity data to show China's workforce competitiveness by examining the relationship between workforce productivity and training and education.

This paper aims to study the reaction of construction project managers in coping with workforce productivity challenges that arise from the COVID-19 pandemic.

Quantitative research via questionnaires targeting the project managers from G7 contractor companies in Malaysia was carried out in the data collection process. In total, 182 responses have been analysed descriptively and inferentially using SPSS software.

The research discovers that most of the construction projects and their workforce productivity were adversely impacted by the COVID-19 pandemic. Besides, the strategies adopted by project managers in Malaysia and the ranking of strategies based on their effectiveness were indicated.

The findings of this research have contributed to a new understanding of the construction workforce productivity during the COVID-19 era from the perspective of project managers in Malaysia. A guideline established from the ranking of strategies would be useful to ensure the survival of the industry in Malaysia aftermath of the COVID-19 pandemic.

Currently, there is a dearth of research studies regarding macro analysis of the workforce productivity of the US construction industry. The purpose of this paper is to calculate the workforce productivity changes of the US construction industry from 2006 to 2016, with the number of laborers as input and value of construction industry as output.

The present study introduced the data envelopment analysis (DEA) based Malmquist productivity index model to measure the workforce productivity of the US construction industry from 2006 to 2016.

The results indicated that the workforce productivity of the US construction industry experienced a continuous decline, except for the increases from 2011 to 2013 and from 2014 to 2015. It was also shown that there were gaps in the workforce productivity development level among all states and nine regions in the US construction industry. Besides, the relationship between workforce productivity and four aspects, including real estate price, workforce, climate distribution and economic factors, was analyzed.

The calculation of the productivity of the US construction industry is based on the premise that the external environment is fixed and unchanged from 2006 to 2016, but the multi-level DEA model for further calculation is required for obtaining more effective conclusions.

This paper measures the workforce productivity of the US construction industry over the past 11 years, which added latest analysis and knowledge into the construction industry, providing decision-makers with advice and data support to formulate policies to improve workforce productivity.

This study provided both government decision-makers and industrial practitioners with important macro background environment information, which will facilitate the improvement of workforce productivity in the construction industry in different regions of the US.

The purpose of this paper is to make a comparative assessment of the relationship between types of pay plans and several workforce‐level outcomes in 214 organizations. The plans include pay that is skill‐based, job‐based, and market‐based. The types of workforce‐level outcomes include workforce flexibility, attitudes, membership behaviors, and productivity. The paper also assesses the relationship between the success of pay plans and workforce productivity/membership behaviors.

Survey data from 214 organizations are used to test the hypothesized relationships using hierarchical regression analysis and partial least square techniques.

Results support a significant and positive relationship between skill‐based pay plans, workforce flexibility, and workforce attitudes. Skill‐based pay plans, when compared with market‐based pay plans, are found to positively relate to workforce membership behaviors, and workforce attitudes mediate this relationship. Similarly, workforce flexibility mediates the positive relationship between skill‐based plans and workforce productivity. The success of skill‐based plans depends on significant improvements in workforce productivity and membership behaviors. The fit between the pay plan and the facility's climate/culture moderates the relationship between workforce productivity and the pay plan's success.

The results indicate that skill‐based pay plans are superior for achieving several organizational and employee outcomes. The authors discuss the implications of these results for research and practice.

Limited comparative empirical evidence exists on the effects of different types of pay systems on organizational outcomes. The paper seeks to address this gap.

The purpose of this paper is to examine the impact of employer-sponsored workforce training on employee productivity in the Australian transport and logistics industry. It challenges the quantitative notion of the ratio of input–output per labour hour as the single most important measure of productivity.

The study utilised a mixed-method approach, involving online and on-site survey questionnaires and on-site semi-structured interviews of employers, employees and students within the industry. Survey questionnaires were administered to Vocational Education and Training (VET) learners to determine the dimensions of productivity gains, while qualitative interviews were conducted specifically to capture employers’ perceptions and expectations of the benefits of training.

Results show that the relationship between employer-sponsored training and workforce productivity is multi-dimensional where, ideally, all essential dimensions must be fulfilled to effectively achieve sustainable productivity level. One dimension is the quantitative measure of increased performance as an outcome of enhanced knowledge, skills and competencies. Another relates to the increased self-confidence, job satisfaction and pride. The third dimension is the cost savings that come with increasing employees’ overall awareness and appreciation of occupational health and safety. The results show that, aside from the dominant theories on training and labour productivity, the perception of the benefits of training on workplace productivity is not merely limited to the conventional understanding of productivity as a simplistic relationship between resource inputs and tangible outputs.

Firms should consider redefining the benefits of training to include employee well-being and individual contribution to common team and organisational goals. Organisations therefore should broaden the notion of productivity to incorporate intangible benefits.

The use of multi-method approach to investigate the views and perceptions of employees, employers and trainers about the productivity benefits of training and key concerns and challenges for the industry.

With economic reforms increasing market competition, greater efficiency and productivity of factors of production, particularly of the workforce, have become important prerequisites for firms' growth and survival. Consequently, designing appropriate strategies to motivate the workforce in this direction appears as a critical aspect of human resource management. However, an important issue is if increase in wages, salaries, and other benefits can necessarily result in the desired outcomes. This chapter will examine this aspect. Estimating long-term trends in share of wages, salaries, and total emoluments in major industries, it is found that while the share of wages, salaries, and total emoluments has increased in recent years, such changes are not reflected in higher productivity. It is, therefore, suggested that, in addition to higher wages, salaries, and other benefits, enhancing efficiency and productivity of human resources requires adequate emphasis on human aspects as well.

There is plenty of individual-level evidence, based on the estimation of Mincerian equations, showing that better-educated individuals earn more. This is usually interpreted as a proof that education raises labour productivity. Some macroeconomists, analysing cross-country time series, also support the idea that the continuous expansion of education has contributed positively to growth. Surprisingly, most economists with an interest in human capital have neglected the level of the firm to study the education-productivity-wage nexus. And the few published works considering firm-level evidence are lacking a proper strategy to cope with the endogeneity problem inherent to the estimation production and wage functions. The purpose of this paper is to aim at providing estimates of the causal effect of education on productivity and wage labour costs.

This paper taps into a rich, firm-level, Belgian panel database that contains information on productivity, labour cost and the workforce’s educational attainment to deliver estimates of the causal effect of education on productivity and wage/labour costs. Therefore, it exclusively resorts to within firm changes to deal with time-invariant heterogeneity bias. What is more, it addresses the risk of simultaneity bias (endogeneity of firms’ education-mix choices in the short run) using the structural approach suggested by Ackerberg et al. (2006), alongside more traditional system-GMM methods (Blundell and Bond, 1998) where lagged values of labour inputs are used as instruments.

Results suggest that human capital, in particular larger shares of university-educated workers inside firms, translate into significantly higher firm-level labour productivity, and that labour costs are relatively well aligned on education-driven labour productivity differences. In other words, the authors find evidence that the Mincerian relationship between education and individual wages is driven by a strong positive link between education and firm-level productivity.

Surprisingly, most economists with an interest in human capital have neglected the level of the firm to study the education-productivity-pay nexus. Other characteristics of the workforce, like gender or age have been much more investigated at the level of the firm by industrial or labour economists (Hellerstein et al., 1999; Aubert and Crépon, 2003; Hellerstein and Neumark, 2007; Vandenberghe, 2011a, b, 2012; Rigo et al., 2012; Dostie, 2011; van Ours and Stoeldraijer, 2011). At present, the small literature based on firm-level evidence provides some suggestive evidence of the link between education, productivity and pay at the level of firms. Examples are Hægeland and Klette (1999); Haltiwanger et al. (1999). Other notable papers examining a similar question are Galindo-Rueda and Haskel (2005), Prskawetz et al. (2007) and Turcotte and Whewell Rennison (2004). But, despite offering plausible and intuitive results, many of the above studies essentially rely on cross-sectional evidence and most of them do not tackle the two crucial aspects of the endogeneity problem affecting the estimation of production and wage functions (Griliches and Mairesse, 1995): first, heterogeneity bias (unobserved time-invariant determinants of firms’ productivity that may be correlated to the workforce structure) and second, simultaneity bias (endogeneity in input choice, in the short-run, that includes the workforce mix of the firm). While the authors know that labour productivity is highly heterogeneous across firms (Syverson, 2011), only Haltiwanger et al. (1999) control for firm level-unobservables using firm-fixed effects. The problem of simultaneity has also generally been overlooked. Certain short-term productivity shocks affecting the choice of labour inputs, can be anticipated by the firms and influence their employment decision and thus the workforce mix. Yet these shocks and the resulting decisions by firms’ manager are unobservable by the econometrician. Hægeland and Klette (1999) try to solve this problem by proxying productivity shocks with intermediate goods, but their methodology inspired by Levinsohn and Petrin (2003) suffers from serious identification issues due to collinearity between labour and intermediate goods (Ackerberg et al., 2006).

This paper examines the benefit of incorporating a group of employees that exhibit dynamic service rates into scheduling tours in a service operation. The service operation that is examined includes a fully productive core (full‐time) workforce along with a contingent (full‐ and part‐time) workforce that experiences the learning effect. Two methods that account for the learning effect are analyzed along with two methods that do not consider learning effects. The schedules generated by each method are tested in a simulation of the service environment. The results of a full‐factorial experiment indicate that methods that account for learning effects will yield superior solutions over a variety of operating conditions when compared to alternative methods that do not consider learning effects. The performance improvement of schedules generated with the most precise learning curve method was substantially and significantly better than the other methods. The conditions in which the learning curve methods provide the most benefit are explored.

Although policymakers have put great efforts into the promotion of older workers’ labour force participation, quantitative empirical knowledge about employers’ views towards extension of working lives is limited. The purpose of this paper is to improve the understanding of employers’ attitudes and actions towards extension of working lives, by examining recruitment and retention behaviour towards older workers, employers’ views on the consequences of an ageing workforce, organisational policies, and what governments can do to extend working lives.

The authors analyse surveys administered to employers in Denmark, France, Germany, Italy, The Netherlands, Poland, Sweden and the UK in 2009.

It is found that a minority of employers have applied measures to recruit or retain older workers, and employers rather retain than hire older workers. A considerable share of employers, albeit to different degrees per country, associate the ageing of their staff with a growing gap between labour costs and productivity. Employers expecting a larger gap do not apply more organisational measures to either increase productivity or adjust the cost‐productivity balance. Employers may think the cost‐productivity issue is partly for governments to solve; employers expecting a larger cost‐productivity gap consider wage subsidies to be an effective measure to extend working lives.

The paper addresses the employers’ perspective, one that is often neglected compared to attitudes and behaviour of older workers themselves and research on institutional arrangements. This paper is also among the first to report on employers’ policies and practices from a cross‐national perspective.

The purpose of this paper is to evaluate empirically the relationship between workforce age, wage and productivity at the firm level.

Panel data techniques are applied to Belgian data on private sector workers and firms during 1999‐2006.

Results (robust to various potential econometric issues, including unobserved firm heterogeneity, endogeneity and state dependence) suggest that older workers are significantly less productive than prime age and young workers. In contrast, the productivity of middle‐aged workers is not found to be significantly different compared to young workers. Findings further indicate that average hourly wages within firms increase significantly with workers’ age. Overall, this leads to the conclusion that young (older) workers appear to be “underpaid” (“overpaid”).

These findings contribute to the growing literature on how the workforce age structure affects productivity and wages.