Intellectual Capital: a Focus on Human Capital Reporting Practices of Top Malaysian Listed Companies

This paper aims to examine the extent of human capital (HC) reporting among top Malaysian companies and introduce an HC reporting guideline that can be used by Malaysian companies and regulator. It begins by developing the HC framework based on previous intellectual capital (IC) frameworks. This framework is then used to examine each of the top 100 Malaysian companies listed on the Bursa Malaysia in year 2008. Using the content analysis method, it reviews the annual reports of these companies to determine the extent of HC reporting. The findings of this paper highlight the need for the development of IC framework particularly on HC. HC differences were also identified between Malaysia and other countries such as Sri Lanka and Australia, and it is argued that these differences can be attributed to the social, economic, and political factors

Human capital, R&D, and competition in macroeconomic analysis

Long-run per capita economic growth is driven by productivity growth. Major determinants of productivity are investments in education and research, and the intensity of competition on product markets. While these ideas have been incorporated into modern growth theories and tested in empirical analyses, they have not yet found their way to applied macroeconomic models used to forecast economic developments. In this paper, we discuss various options to include human capital, R&D, and product market competition in a macroeconomic framework. We also study how policy can affect the decisions to build human capital or to perform research, and how competition policy impacts on macroeconomic outcomes. We finally sketch how these mechanisms can be implemented into the large models used at CPB. See also background CPB Memorandum 122 , " Why should governments intervene in education, and how effective is education policy?".

Human capital and entrepreneurial success : a meta-analytical review

The study meta-analytically integrates results from three decades of human capital research in entrepreneurship. Based on 70 independent samples (N = 24,733), we found a significant but small relationship between human capital and success (r(c) = .098). We examined theoretically derived moderators of this relationship referring to conceptualizations of human capital, to context, and to measurement of success. The relationship was higher for outcomes of human capital investments (knowledge/skills) than for human capital investments (education/experience), for human capital with high task-relatedness compared to low task-relatedness, for young businesses compared to old businesses, and for the dependent variable size compared to growth or profitability. Findings are relevant for practitioners (lenders, policy makers, educators) and for future research. Our findings show that future research should pursue moderator approaches to study the effects of human capital on success. Further, human capital is most important if it is task-related and if it consists of outcomes of human capital investments rather than human capital investments; this suggests that research should overcome a static view of human capital and should rather investigate the processes of learning, knowledge acquisition, and the transfer of knowledge to entrepreneurial tasks

Human Capital, Bankruptcy and Capital Structure

We derive a firm's optimal capital structure and managerial compensation contract when employees are averse to bearing their own human capital risk, while equity holders can diversify this risk away. In the presence of corporate taxes, our model delivers optimal debt levels consistent with those observed in practice. It also makes a number of predictions for the cross-sectional distribution of firm leverage. Consistent with existing empirical evidence, it implies persistent idiosyncratic differences in leverage across firms. An important new empirical prediction of the model is that, ceteris paribus, firms with more leverage should pay higher wages.

Human Wealth and Human Capital

In this paper, a few theoretical issues will be raised regarding the relationship between the distribution of human capital and that of human wealth. Special attention will be paid to the empirical implications of the analysis.

Human capital, the structure of production and growth

Do high levels of human capital foster economic growth by facilitating technology adoption? If so, countries with more human capital should have adopted more rapidly the skilled-labor augmenting technologies becoming available since the 1970’s. High human capital levels should therefore have translated into fast growth in more compared to less human-capital-intensive industries in the 1980’s. Theories of international specialization point to human capital accumulation as another important determinant of growth in human-capital-intensive industries. Using data for a large sample of countries, we find significant positive effects of human capital levels and human capital accumulation on output and employment growth in human-capital-intensive industries.Human Capital, Growth, Structure of Production

Human Capital Policy

This paper considers alternative policies for promoting skill formation that are targetted to different stages of the life cycle. We demonstrate the importance of both cognitive and noncognitive skills that are formed early in the life cycle in accounting for racial, ethnic and family background gaps in schooling and other dimensions of socioeconomic success. Most of the gaps in college attendance and delay are determined by early family factors. Children from better families and with high ability earn higher returns to schooling. We find only a limited role for tuition policy or family income supplements in eliminating schooling and college attendance gaps. At most 8% of American youth are credit constrained in the traditional usage of that term. The evidence points to a high return to early interventions and a low return to remedial or compensatory interventions later in the life cycle. Skill and ability beget future skill and ability. At current levels of funding, traditional policies like tuition subsidies, improvements in school quality, job training and tax rebates are unlikely to be effective in closing gaps.

Selected Intangible Factors Of Regional Development: An Analysis Of Spatial Relationships

The large diversification of human and social capital in the Polish subregions has been confirmed. Clusters of regions with low levels of human capital have been indicated, whereas in the case of social capital a grouping of its high values was observed. The research also confirmed the positive correlation between GNP per capita and human capital, with high values of both variables in the larget cities. Additionally, there are some subregions with high levels of economic development surrounded by low levels of human and social capital (Łódź, Szczecin, Wrocław). It is possible that high level of GNPpc in these regions was the incentive causing the relocation of human capital from the neighbouring regions. The correlation between GNPpc and social capital, where significant, is of the low-high type. These subregions are located in the east and south of Poland

Human capital, the structure of production, and growth

Do high levels of human capital foster economic growth by facilitating technology adoption? If so, countries with more human capital should have adopted more rapidly the skilled-labor augmenting technologies becoming available since the 1970’s. High human capital levels should therefore have translated into fast growth in more compared to less human-capital-intensive industries in the 1980’s. Theories of international specialization point to human capital accumulation as another important determinant of growth in human-capital-intensive industries. Using data for a large sample of countries, we find significant positive effects of human capital levels and human capital accumulation on output and employment growth in human-capitalintensive industries. JEL Classification: E13, F11, O11Growth, Human capital, structure of production