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Data on shift‐working, annual hours and employment are used to derive alternative measures of capital utilisation in seven countries. There is a positive relationship between utilisation and capital intensity, and utilisation levels in developing countries are significantly higher than in industrialised countries. Inter‐country comparisons of capital productivity are made by comparing industries with similar levels of capital per production worker. It is shown that output per input of capital services in some developing countries is half that of comparable industries in industrialised countries. However, the higher levels of utilisation in developing countries partially offset these low values for the productivity of capital services. Data on labour productivity and earnings are combined to measure labour costs per unit of output and thus throw light on the overall competitive position of industry in the different countries.

It is often the case that policy makers are slow to adopt the results of economic analysis in their policy formulation. Shiftworking is one of those rare cases where policymakers have seized upon something as having particular significance which economists have on the whole neglected. Robin Marris published a seminal work, The Economics of Capital Utilisation, in 1964, but it was not until the later 1970s that further substantial work was undertaken by economists and shiftworking appears to be regarded as hardly worth a mention in the standard labour economics texts. This relative neglect by economists is surprising given the significance and growth of shiftworking in a number of countries. Where data are available it is estimated for instance that, as a rough approximation, the number of workers engaged on shiftwork doubled between 1950 and the mid‐1970s. For the UK one estimate is that between 1954 and 1964 the proportion of manual employees working shifts in manufacturing industry increased from 12 to 20 per cent, and that by 1978 the figure was 34 per cent (that is approximately 1.5 out of 4.27 million employees). Shiftworking has in fact reflected a conflict of goals for the policymakers. On the one hand in both the International Labour Organisation (ILO) and the European Commission (EC) concern has been expressed at the possible harmful effects on workers of particular shiftworking patterns and proposals have been made to limit its incidence and control its form (this being particularly the case with nightwork and with the hours of women and young persons). On the other hand, concern with the growing problem of unemployment has led policymakers in other sections of these same bodies to propose an extension of shiftworking, as one particular form of work‐sharing, in order to generate jobs. The purpose of this paper is to examine the development of shiftworking for male manual workers in British manufacturing industry in order to cast some light on these issues. In particular supply equations are estimated in order to understand what factors lead workers to select this particular form of work and demand equations to determine the nature of the employer's demand for labour. These structural equations form the basis of a simultaneous system in which plant size (measured in terms of employment) is estimated as a function of shiftworking and a vector of other explanatory variables in order to determine whether in fact it is reasonable to conclude that an extension of shiftworking will generate additional jobs in Britain. Before presenting the regression results it is however necessary to examine in more detail these socio‐economic policy aspects of shiftwork, to clarify the theoretical framework and to discuss some of the problems of estimation which stem largely from data deficiencies, but also involve problems of simultaneity notably in the relationships between shiftworking, capital intensity and plant size.

Using the example of capital charging in UK hospitals, this paper shows how new public policy initiatives are justified through forms of persuasion without numbers and can be challenged with empirics. A reading of official and academic texts shows how the official problem definition focuses on poor asset utilisation. Hospital accounts are then reworked to show that, although poor asset utilisation was never a major problem, the introduction of capital charges could disrupt service provision. The conclusion is that the operation of NHS hospitals should be understood in terms of distributive conflict, rather than inefficiency. Through practical demonstration, the authors of this article aim to encourage accounting researchers to use numbers to challenge public policy definitions.

Intellectual capital is the set of all intangible assets, that is, invisible, non-monetary assets held by a library, which can be identified as separate assets. Intellectual capital has become the buzzword of a knowledge-based economy and is the ultimate source of competitive advantage. In this work, we review the literature to analyse the effect of intellectual capital utilisation in the overall library management, to identify and classify intellectual capital and to provide some guidelines for researchers and practitioners. A literature review for the intellectual capital in libraries is conducted, and a qualitative analysis is undertaken, which interrelates library management to intellectual capital is taking place. The review leads to identification and classification of intellectual capital as well as to a number of quite innovative and interesting issues for the interrelation of intellectual capital to the management of libraries. The issues studied include intellectual capital economic valuation methods, the effect of the locality (spatial factor) to intellectual capital utilisation and the analysis of co-opetition (cooperation and competition) for intellectual capital utilisation. This is one of only a few studies about the management of intellectual capital in libraries and information services (LIS)—an innovative and challenging area of research in library management.

This study empirically investigates the level of intellectual capital efficiency amongst the listed commercial banks in Nigeria and the factors influencing its efficient utilisation.

The paper employs the data envelopment analysis (DEA) to determine intellectual capital efficiency for the listed banks in Nigeria using data obtained from their annual financial reports from 2013 to 2019. After obtaining the efficiency scores, the Tobit regression technique was used to analyse the impact of firm-specific factors on intellectual capital efficiency.

The study found that only 8.33% of the sampled Nigerian commercial banks are at optimum capacity in utilising their intellectual capital, while 91.67% are inefficient. It also finds that bank size and directors' shareholdings positively impact intellectual capital efficiency, while market and ownership concentration debar the attainment of optimum intellectual capital efficiency.

This study contributes to very scare literature on intellectual capital efficiency measurements by using the non-parametric analysis (DEA) to measure intellectual capital efficiency for listed banks in Nigeria.

This study showcases the importance of measuring intellectual capital efficiency amongst listed banks in Nigeria. It provides more information to the regulators and stakeholders on the need to enforce the disclosure of the value created from intellectual capital investment.

This study contributes to the scarce literature on measuring intellectual capital efficiency using a non-parametric analysis (DEA). It also provides new insights into the factors that influence intellectual capital efficiency amongst listed commercial banks in Nigeria.

Population growth has remained a key issue facing developing economies in the world. While developed countries are experiencing diminished or negative population growth, many countries in sub-Saharan Africa including Nigeria are having population growth above the economic growth rate. With the deadline for the sustainable development goals approaching, attention is increasingly being focused on population growth and human capital development. Extant literature focused on population growth, human resource utilization and economic growth but this study aims to examine the effect of population growth on human resource utilization.

Using secondary data for the period 1990-2018, the study conducted unit root test and co-integration analyses to determine the stationarity and correlation in the long-run in the variables. The study used the error correction model to ascertain the speed at which shocks can be corrected in the long-run. Granger causality test was also carried out to ascertain the direction of causality among the variables.

The empirical results revealed that population growth has a negative and significant effect on human resource utilization. The study also revealed that unidirectional causality runs from employment rate to population growth rate and a unidirectional causality runs from employment growth rate to expected years of schooling. The Nigerian Government needs to not only control population growth but also focus on the quality of education.

The paper provides insights into the relationship between population growth and human capital utilization in Nigeria focusing on the 1986-2018 period.

This paper, grounded on social capital and social networking theory, examines how postgraduate students in Ghana cultivate and utilise social resources towards career development.

Following a qualitative study design, the authors recruited and conducted interviews with postgraduate student-workers undertaking a two-year Master of Science in International Business.

There was an active engagement and consciously pre-plan mobilisation of social resources and utilisation of social resources among the postgraduates. Despite the diverse processes of social capital development identified, four important key themes emerged underpinning social capital mobilisation and utilisation: (1) the recognition of the importance of social capital acquisition, (2) the strong link between social capital and individual successes in employment and business opportunities, (3) the importance of the utilisation of social resources for emotional support and (4) the use of social capital to reinforce the individual social identity and recognition of an individual's worth.

The authors offer a theoretical and practical contribution with a frame of understanding by demonstrating that there is more to social capital than economic gain.

Unlike the findings from prior research in Africa, the strong institutional and cultural conditions did not constrain the key force of education and employability as drivers in attainment and social positioning. This is an interesting and positive finding from the research, especially in terms of the importance of providing educational opportunities to overcome institutional and cultural barriers to workforce participation and career development.

Social networks contribute to career success, and while the participants used social networks that reinforced ethnic and religious bonds, there is the opportunity to develop networks through other identity processes, especially education. Formal education imparts more than formal skills and qualifications. It provides the opportunity to access networks that transcend personal identity such as ethnicity and to get support for career development.

The new growth literature in general is very optimistic about the positive impact that human capital has on the economic growth of countries. Based on this argument, the current paper focusses to investigate the impact of different types of human capital on economic growth.

The paper utilizes data for the period 1998 to 2017 and employs suitable econometric techniques.

It is found that it is not the stock of human capital rather its utilization in terms of average working hours that matters for higher growth. Other than human capital, trade openness and investment are positively associated with growth. On the other hand, inflation has an insignificant impact while employment level has a negative impact on growth. Moreover, for developing countries, the study also revealed that stock of human capital has negatively and average working hours has positively impacted economic growth. Finally, domestic investment and employment level appeared to be the main growth determinants in developing countries.

Policymakers are suggested to ensure the maximum utilization of working hours, trade openness and domestic investment in improving economic growth in OECD countries.

This study has visualized the impact of human capital on economic growth from a new perspective and hence would be useful for policymakers.