This paper uses a new set of country data for 14 countries, members of the OECD, and a nonparametric approach to provide new evidence on the impact of Information and Communication Technology (ICT) on labour productivity growth between 1995 and 2005. For the first time, in the present paper a bootstrap approach for the decomposition of labour productivity change, proposed by Kumar and Russell (2002), is employed. This approach permits to conduct statistical inference on the parameters of interest, and to analyse the effects of ICT technologies on capital accumulation. The results confirm the role of ICT as a general purpose technology that needs organizational and business process changes to fully exploit its growth opportunities. The paper also finds out, by applying a non-parametric test, that ICT technologies positively contribute to the generation of convergence clubs in the evolution of labour productivity. Finally, the empirical evidence offers some basic guidance for future policy intervention in supporting ICT capital investments.
Obesity, impaired glucose tolerance, type 2 diabetes, hyperlipidemia, hypertension, and insulin resistance are wellknown components of metabolic syndrome and are associated to increased cardiovascular morbidity. The present study aimed to evaluate the relationships between cardiorespiratory fitness, body fat distribution, and selected coronary heart disease risk factors. A total of 22 untrained subjects affected by one or more features of metabolic syndrome and without clinical history of cardiovascular disease were studied. Nondiabetic subjects underwent an oral glucose tolerance test for glucose and insulin measurement; fasting glucose and insulin were measured in diabetic patients. Complete lipid profile, thyroid hormones, and thyroid-stimulating hormone were measured in all subjects. Basal energy expenditure and cardiorespiratory fitness were measured using a K4 analyzer. Cardiorespiratory fitness ( VO(2max)/kg) was assessed using a treadmill graded exercise test. Peak aerobic capacity ( VO(2max)/kg) was predicted by body fat distribution, insulin sensitivity index, and high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol ( p<0.001). A significant relationship was found between cardiorespiratory fitness ( VO(2max)/kg) and body mass index (BMI), insulin sensitivity index, and LDL cholesterol ( r=0.60, p<0.05; r=0.66, p<0.01 and r=0.54, p<0.05, respectively). Data demonstrated that aerobic fitness is related to metabolic parameters and to body fat distribution, and suggest that its modification may improve well-known predictors of coronary artery disease.
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