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PurposeThis study aims to investigate the factors influencing the disclosure of intellectual capital (IC) information in the Malaysian initial public offering (IPO) prospectus using multiple regression analysis.Design/methodology/approachThe sample consists of 130 companies in the technology and industrial products sectors of Bursa Malaysia that went through an IPO between 2004 and 2008. Initially, the extent of the IC disclosure index is quantified using content analysis methodology. The multiple regression analysis is then used to examine the associations of nine potential explanatory variables with IC disclosure level.FindingsIn general, the results provide evidence that board size, board independence, age, leverage, underwriter and listing board significantly influence the extent of IC disclosure in an IPO prospectus. Nonetheless, the effect of each explanatory variable may vary in each estimated parameter of the multiple regression models. Three variables, board diversity, size and auditor, were not significant.Originality/valueAlthough many studies have examined the content of and reasons for IC disclosures, this study provides empirical evidence in this specific area, i.e. to explore the determinants of IC disclosure, particularly from the perspective of IPO prospectuses, in emerging countries such as Malaysia.

BackgroundThe main objective of this study is to assess the performance of the global health system, emphasising the contribution of people’s happiness to health system efficiency across countries. Technical efficiency (TE) scores are estimated using the output-oriented variable returns to scale (VRS) data envelopment analysis (DEA) model based on the input measures: health expenditure, labour, hospital beds and education, and the output measures: healthy life expectancy and inverse mortality index. The efficiency scores are regressed against three explanatory variables: happiness index, population density, and healthcare share of gross domestic product (GDP). The analysis involved 121 selected countries using double bootstrap DEA as proposed by Simar, L., Wilson, P.W J Econ 136:1‑34, 2007.ResultsThe bootstrap truncated regression indicates that happiness is one of the factors that contributes significantly to health system efficiency. The study also revealed that the selected health systems perform well, on average, in terms of population density and healthcare share of GDP.ConclusionsIn addition to improving the economic standard of living, policy-makers should also consider ways to increase the happiness and well-being of society. Policies focusing on well-being and happiness can lead to improved well-being and improved health outcomes, which may ultimately reduce the healthcare burden and enhance healthcare performance.Electronic supplementary materialThe online version of this article (10.1186/s13561-018-0214-6) contains supplementary material, which is available to authorized users.