This paper investigates the evolution of human capital in China for 31 provinces over period 1985–2016 from a club convergence perspective. Per capita stocks, estimated using Jorgenson–Fraumeni lifetime income approach, are first time examined within non-linear latent factor framework that allows to model wide range transition dynamics each province along path convergence. The study finds no ov...

I adopt the distribution dynamics framework to study labor productivity convergence, in the period 1980-1995, among 28 developed and developing countries, in different manufacturing sub-sectors, identified, as according their technological content into Resource Based, Low Technology, Medium Technology and High Technology. I find that, exception made for High Technology and Manufacturing as a wh...

â â â â â â  â  abstract â  outward-oriented economies seem to grow faster than inward-looking ones. does the literature on convergence have anything to say on this? in the dynamic heckscher-ohlin-samuelson model, with factor-price equalization, there is no convergence of incomes. this is because with identical preferences and return to capital, irrespective of initial levels the growth rates o...

This study aims to determine the basic dribbling techniques of participants Men's football club FC Mardiharjo, Purwodadi District, Musi Rawas Regency. used descriptive qualitative method. The subjects this were 20 people who joined at Mardiharjo Club, data analysis technique is collection, reduction, presentation, and verification. Test validity using a credibility test which done by means tria...

Regional differentials in per capita income and labour productivity in Italy is one of the most notable cases of regional inequality and have attracted attention from economists from all over the world since the 1950s. In this paper we first aim at yielding a comprehensive description of the pattern of regional inequality in Italy on the basis of a new dataset on the main regional variables for...

This paper proposes clique relaxations to identify clusters in biological networks. In particular, the maximum n-clique and maximum n-club problems on an arbitrary graph are introduced and their recognition versions are shown to be NP -complete. In addition, integer programming formulations are proposed and the results of sample numerical experiments performed on biological networks are reporte...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...