الفهرس 
AbstractOnly 14 pages are availabe for public view
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Abstract
Labour productivity is the driving force of economic growth and development. Hence, understanding the main determinants of labour productivity is crucial to help boost economic growth and development of developing countries. The main aim of the study is to estimate determinants of labour productivity in developing countries. In addition, the study aims to investigate if these determinants affect differently on productivity in each income group of developing countries. To achieve these aims, the study uses secondary panel data for 39 developing countries during the period (2000-2019) and employs the dynamic generalized method of moment estimator (GMM) to capture the endogeneity problem. The study estimates a regression model for the whole sample (sample A). It then estimates a separate regression model for the combined sample of low and lower-middle-income countries (sample B) and another separate model for the sample of upper-middle-income countries (sample C). For the entire sample, the results show the significant and positive role of human capital, physical capital, trade openness, technological progress, and institutional quality for labour productivity, while inflation negatively affects productivity. These results are in line with economic theory and many empirical studies. Also, findings reveal that human capital has the greatest impact on labour productivity, followed by trade openness. Furthermore, the results reveal that human capital, physical capital, trade openness, and inflation are the main driving forces of labour productivity in samples B and C, but institutional quality and technological progress correlate positively and significantly with productivity in sample C and they have no impact on productivity in sample B. Also, results show that the impact of human capital on productivity is bigger in economies with high productivity compared with economies that have low levels of productivity. In general, to boost productivity in developing countries, the study recommends improving human capital, strengthening institutions, and applying suitable policies that boost trade liberalization and encourage the use of ICT.Keywords: Labour productivity, Developing countries, Panel data, Dynamic GMM estimator.