Abstract

The purpose of the thesis has been to investigate the relation between human capital and economic growth in developing countries around the world. The main research question is how the human capital impact on the economic growth in developing countries during the period of 2010 -2015.The world is mainly divided into two major groups, which are Developed & Developing countries, as well as poor & rich countries. In this thesis mainly concern only developing and poor countries and their role of the economic growth. The key factors of economic growth are GDP/capita, per capita income, birth rate, death rate, population growth rate, life expectancy at birth, working age population, education, literacy rate and investment in technology. The world is populated day by day such has never been before. In the past history it look back to 123 years to increased from one billion to two billion from 1804 to 1927.Then, next billion took 33 years. The following two billions took 14 years and 13 years, respectively (Ray, Development Economics).

          The data has been taken from the Developing countries around the world which is taken a cross sectional data set and data has been analysed with multiple liner regressions model with ordinary least squares (OLS). For this purpose which applied the difference tools & theory which are human capital and technology development, economic growth, norms, externalities and human social capital.   The previous studies is examined the most important factors of economic development that is economic growth and human capital investment. Similarly, the theoretical discussion is described the Solow model, human capital theory, technological progress, demographic transition and social capital. For examine the data is divided into two groups which are dependent and independent variables. Economic growth GDP/capita, GDP/capita growth rate are dependent variable and Ln. GDP initial, life expectancy at birth, population growth rate, education, working age population and investment in technology are independent variables.

This analysis shows the majority of the variables in the study have positive significant relation to the GDP/capita growth. This result furthermore support the developing countries provides insight on the world economic development status towards the independents variables.