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The purpose of this paper is to investigate and analyze the demographic bonus from the perspective of human capital in Indonesia. This research methodology uses qualitative methods and uses literature and documentation study techniques. This research data comes from secondary data sources, based on literature studies, and is analyzed descriptively qualitatively which emphasizes the use of scientific logic. The results of the study found that Indonesia is in a very good demographic bonus position, and is expected to be able to take advantage of the age structure, especially the portion of the productive age which has the potential to be the main driver of economic growth. Therefore, the government must have a supporting policy to encourage economic growth by having a strategy and implementing competency-based training (CBT) through the implementation of Deming's (1986) plan-do-check-action (PDCA) as a human resource development program that includes material for integrating technical skills and competencies in the form of skills, competencies, and the right point of view or character to make students become professionals. On the other hand, the government is expected to be able to create jobs and open up a wide work environment for young people, the workforce skilled as human capital.

The Human Development Index (HDI), which measures a country’s human development level, considering the health, education and income indicators of countries has been published in the Human Development Report each year since 1990 by the United Nations Development Programme. Norway, which is a highly developed country, was at the top of the Human Development Index. Therefore, the aim of this study is to evaluate Norway’s human development performance. In this context, the relationship between human development and economic growth has been examined at empirical level for Norway for the period between 1990-2017. In the study, firstly, ADF and PP unit root tests were performed. Then, Granger causality analysis was applied. According to the results of Granger causality analysis there is a one-way causality relationship from human development to economic growth.

Education is generally considered to be the core source of individuals’ better life and countries' economic and social development. Consequently, attending university and getting high qualifications are perceived as tools that generate and enhance economic growth. The current study aimed to analyse the effect of various educational levels on South African economic growth. The study employed quarterly data from 1995Q1 to 2021Q4. The autoregressive distributed lag (ARDL) model was employed to assess both long-run and short-run relationships among variables. The long-run results revealed that people who completed their grade 12 (with matric certificate) and bachelor's degrees contribute positively to South African economic growth. However, honours and higher degrees (master's and PhD) were found to have an inverse relationship with economic growth in South Africa. On the other hand, the short-run relationship indicated that all education levels contribute to economic growth in the short term. Based on these findings, the author suggests that the South African higher education curriculum should be revised as the negative effect of high education towards economic growth should be resulting in growing unemployment and graduates waiting to be employed rather than creating jobs themselves. Additionally, increasing job creation for graduates with higher qualifications would reduce the number of graduates that leave the country looking for employment abroad.

Labour, entrepreneurship, and technology are important components in the success of GDP Per capita, the existing workforce is not only fixated by numbers but also must be focused on quality to have a significant impact, in addition to the ability and desire of a nation to grow interested in becoming entrepreneurs. This research base on Solow and Swan's Theory said that economic growth was influenced by the growth of production factors such as population, labor, and capital accumulation, as well as the level of technological progress described in the development of knowledge. There is an element of technological progress in the Solow-Swan model which is the main differentiator from the Harrod-Domar growth model.  This study used 42 observers consisting of 7 ASEAN countries, namely; Singapore, Thailand, Malaysia, Indonesia, Philippines, Vietnam, and Cambodia, using multiple linear regression and using classical assumption test. The research method in this study uses multiple linear regression of panel data, using the classical assumption test. To get the best model, the data will be tested for Pool Effect, Fix Effect and Random Effects Models, while the determination of the best model is based on the results of the Chow and Hausman tests. The results are shown that labor does not have a significant influence on GDP Per Capita revenue, while the entrepreneurship Index (GEI) and Technology Index (GII) variables have a positive and significant impact on GDP Per Capita revenue. The workforce hasn't affected, which is broadly described in this study because the absorption of labor has not been optimal or the provision of jobs whose proportions are not balanced with the number of the workforce.

Total factor productivity (TFP) as a source of economic growth, has been recognized in economic theory for a long period of time. In this research we tried to examine the effect of some macroeconomic factors, which include trade openness, inflation, government expenditure, credit extended and foreign direct investment, and natural disaster drought on total factor productivity and its trend in Ethiopia by using Time series data spanning from 1991 to 2018.  The TFP was computed by using the growth accounting method from Cobb–Douglas production function.  ARDL was used for estimation of the short and long run econometric model.  Accordingly, the trend analysis shows the growth in TFP has been fluctuating over the study period. The result from ARDL indicated that; in long run foreign direct investment, government expenditure and drought negatively and significantly affect TFP. Credit extended is found to affect TFP positively and significantly, while inflation and trade openness are insignificant. Therefore, policies such as; subsidizing domestic firms, effective government spending and making the agriculture sector drought resistant need to be stimulated.

Over the years, productivity performance has been the subject that generated enormous interest amongst economic scholars.  This shows the value of productivity on business growth.  Hence, the implementation of improved interventions for productivity improvement requires appropriate innovative practices for industries.  This sentiment supports the importance of innovation for productivity improvement.   Consequently, this study assesses the influence of innovation on labour productivity in an automotive assembly organisation in South Africa.  It has been established that the manufacturing industry in South Africa has low labour productivity compared with its BRICS counterpart countries like Russia, India and China.  As a result, this study centres its attention on innovation, considering low levels of labour productivity in the manufacturing sector of South Africa. It was quantitative in design and the investigation was achieved by collecting pre-and post-innovative quarterly data for spoilage and the achievement of production targets.  The study analysed the production and related experiences of an automotive assembly organisation, operating in KwaZulu-Natal in the eThekwini Municipality that had adopted an innovative seat-handling manipulator in its assembly process.  The Ordinary Least Squares (OLS) model, using the Statistical Package for Social Sciences (SPSS), was used to analyse data.  The study indicates that spoilage rate and the achievement of production targets have the relationship with labour productivity after an innovative seat handling manipulator was implemented in the organisation.

Education is generally considered to be the core source of individuals’ better life and countries' economic and social development. Consequently, attending university and getting high qualifications are perceived as tools that generate and enhance economic growth. The current study aimed to analyse the effect of various educational levels on South African economic growth. The study employed quarterly data from 1995Q1 to 2021Q4. The autoregressive distributed lag (ARDL) model was employed to assess both long-run and short-run relationships among variables. The long-run results revealed that people who completed their grade 12 (with matric certificate) and bachelor's degrees contribute positively to South African economic growth. However, honours and higher degrees (master's and PhD) were found to have an inverse relationship with economic growth in South Africa. On the other hand, the short-run relationship indicated that all education levels contribute to economic growth in the short term. Based on these findings, the author suggests that the South African higher education curriculum should be revised as the negative effect of high education towards economic growth should be resulting in growing unemployment and graduates waiting to be employed rather than creating jobs themselves. Additionally, increasing job creation for graduates with higher qualifications would reduce the number of graduates that leave the country looking for employment abroad.

Labour, entrepreneurship, and technology are important components in the success of GDP Per capita, the existing workforce is not only fixated by numbers but also must be focused on quality to have a significant impact, in addition to the ability and desire of a nation to grow interested in becoming entrepreneurs. This research base on Solow and Swan's Theory said that economic growth was influenced by the growth of production factors such as population, labor, and capital accumulation, as well as the level of technological progress described in the development of knowledge. There is an element of technological progress in the Solow-Swan model which is the main differentiator from the Harrod-Domar growth model.  This study used 42 observers consisting of 7 ASEAN countries, namely; Singapore, Thailand, Malaysia, Indonesia, Philippines, Vietnam, and Cambodia, using multiple linear regression and using classical assumption test. The research method in this study uses multiple linear regression of panel data, using the classical assumption test. To get the best model, the data will be tested for Pool Effect, Fix Effect and Random Effects Models, while the determination of the best model is based on the results of the Chow and Hausman tests. The results are shown that labor does not have a significant influence on GDP Per Capita revenue, while the entrepreneurship Index (GEI) and Technology Index (GII) variables have a positive and significant impact on GDP Per Capita revenue. The workforce hasn't affected, which is broadly described in this study because the absorption of labor has not been optimal or the provision of jobs whose proportions are not balanced with the number of the workforce.

The purpose of this paper is to investigate and analyze the demographic bonus from the perspective of human capital in Indonesia. This research methodology uses qualitative methods and uses literature and documentation study techniques. This research data comes from secondary data sources, based on literature studies, and is analyzed descriptively qualitatively which emphasizes the use of scientific logic. The results of the study found that Indonesia is in a very good demographic bonus position, and is expected to be able to take advantage of the age structure, especially the portion of the productive age which has the potential to be the main driver of economic growth. Therefore, the government must have a supporting policy to encourage economic growth by having a strategy and implementing competency-based training (CBT) through the implementation of Deming's (1986) plan-do-check-action (PDCA) as a human resource development program that includes material for integrating technical skills and competencies in the form of skills, competencies, and the right point of view or character to make students become professionals. On the other hand, the government is expected to be able to create jobs and open up a wide work environment for young people, the workforce skilled as human capital.

The Human Development Index (HDI), which measures a country’s human development level, considering the health, education and income indicators of countries has been published in the Human Development Report each year since 1990 by the United Nations Development Programme. Norway, which is a highly developed country, was at the top of the Human Development Index. Therefore, the aim of this study is to evaluate Norway’s human development performance. In this context, the relationship between human development and economic growth has been examined at empirical level for Norway for the period between 1990-2017. In the study, firstly, ADF and PP unit root tests were performed. Then, Granger causality analysis was applied. According to the results of Granger causality analysis there is a one-way causality relationship from human development to economic growth.