scholarly journals The Effect of Government Spending on Education to Human Capital in ACEH Province

2017 ◽  
Vol 6 (4) ◽  
pp. 18
Author(s):  
. SARTIYAH ◽  
Sri HARTOYO ◽  
Yusman SYAUKAT ◽  
Rina OKTAVIANI
Keyword(s):  
Human Capital ◽  
Government Spending ◽  
Local Governments ◽  
Multiple Models ◽  
Remote Areas ◽  
Income Per Capita ◽  
Common Effect ◽  
Effect Model ◽  
Aceh Province ◽  
Per Capita

This study was conducted to examine the effect of government spending on education, poverty, income per capita and the dummy of the main and newly established regions to education in Aceh Province. The data used in this study are panel data of 23 city districts in Aceh Province from 2008 to 2013. To estimate multiple models of data panels, Common Effect Model and The SYSLIN Procedure 2 SLS Estimation using SAS 9.31 Program are used. The results of the study showed that government spending on education, income per capita in main regions are positively and significantly effect on education, while poverty negatively affects on education in Aceh Province. However, education has a small response to government spending on education in Aceh Province. According to the results of the research, it is recommended for local governments to intensify the service and supervision of education in the newly established regions, specifically in remote areas.

scholarly journals Determinants of Structural Transformation in ASEAN

2020 ◽  
Vol 35 (2) ◽  
pp. 137
Author(s):  
Kalies Sirieh Puspitowati ◽  
Deden Dinar Iskandar
Keyword(s):  
Panel Data ◽  
Structural Transformation ◽  
Value Added ◽  
Fixed Effect Model ◽  
Dependency Ratio ◽  
Service Value ◽  
Income Per Capita ◽  
Effect Model ◽  
Per Capita ◽  
Asean Countries

This study aims to analyze the determinants of the structural transformation in ASEAN countries. This study uses quantitative panel data from 9 countries in ASEAN from 2000 to 2017, thus makes up for 162 observations. This study employs panel data regression analysis with fixed effect model approach. In this study, the shifting of sectoral value added away from agriculture sectors indicates structural transformation. In particular, sectoral value added consists of the industrial value added and service value added. The results of this study shows that dependency ratio, income per capita, education, and trade significantly affect the increase of industrial value added during observation period. On the other hand, total population, dependency ratio, income per capita, education, control of corruption, and trade significantly increase the service value added over time.

scholarly journals Human Capital Persistence and Development

2017 ◽  
Vol 9 (4) ◽  
pp. 105-136 ◽  
Author(s):  
Rudi Rocha ◽  
Claudio Ferraz ◽  
Rodrigo R. Soares
Keyword(s):  
Twentieth Century ◽  
Human Capital ◽  
Income Per Capita ◽  
Long Run ◽  
Per Capita ◽  
Late Nineteenth ◽  
Settlement Policy ◽  
And Shifts ◽  
Over Time

This paper documents the persistence of human capital over time and its association with long-term development. We exploit variation induced by a state-sponsored settlement policy that attracted immigrants with higher levels of schooling to particular regions of Brazil in the late nineteenth and early twentieth century. We show that one century after the policy, municipalities that received settlements had higher levels of schooling and higher income per capita. We provide evidence that long-run effects worked through higher supply of educational inputs and shifts in the structure of occupations toward skill-intensive sectors. (JEL I26, J22, J24, J61, N36, O15, Z13)

scholarly journals Factors of human capital modernization in the context of institutionalization of information economy

2019 ◽  
Vol 2 (4) ◽  
pp. 26-45 ◽  
Author(s):  
Maryna Radieva ◽  
Viktoriia Kolomiiets
Keyword(s):  
Human Capital ◽  
National Income ◽  
Gross National Income ◽  
Labor Costs ◽  
Information Economy ◽  
Income Per Capita ◽  
The World ◽  
Per Capita ◽  
Institutional System ◽  
Human Capital Index

The constant institutional transformations of society make it necessary to study their influence on the development of human capital and the dependence of the development of human capital on the conditions of institutionalization of the information economy. The aim of this scientific work: to identify the existence of a dependence of the development of human capital on the institutionalization of society in the information economy, to build correlation-regression models of the dependence of the development of human capital on the level of development of the country's institutional system in the information economy. The study has proved the hypothesis that there is a relationship between the human capital index and the development of the country's institutional system. The selection of indicators describing the dependence of the development of human capital on the development of the country's institutional system in the information economy, which included political, legal, economic, social, institutional, using an expert analysis method, is carried out. For a multifactorial phenomenon, as the dependence of the development of human capital on the level of development of the country's institutional system in the information economy, the methods of multiple correlation and regression analysis are used. The study was conducted for 157 countries of the world for which the World Bank determined the country's human capital index in 2018. As a result, correlation equations are constructed that give the dependence of the development of human capital on the level of development of the country's institutional system in the information economy. They should determine the feasibility of material costs for the development of a separate factor of the influence of the institutional system for the development of human capital. The constructed models have shown that the greatest correlation between the human capital index and the selected indicators of the country's institutional system development exists: for countries with a high human capital index and high gross national income per capita – government labor costs, tax burden; for countries with an average human capital index and with an average gross national income per capita, to which Ukraine belongs, – freedom of the labor market, protection of property rights; for countries with a low human capital index and low gross national income per capita – effectiveness of the judicial system, government decency. The study of the dependence of the development of human capital on the development of the institutional system will interest not only the scientific layers of countries, but also state and government institutions.

How Government Spending on Public Sector Affect The Economic Growth?

JEJAK ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 218-229
Author(s):  
Ambya Ambya
Keyword(s):  
Economic Growth ◽  
Government Spending ◽  
Local Governments ◽  
Fiscal Decentralization ◽  
Regional Government ◽  
Analysis Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Autonomous Regions

Fiscal decentralization is an effort to reform governance so that it has a more effective and efficient structure so that it can improve services to the community. Efforts to achieve these goals are largely determined by the availability of human resources, natural resources, and other economic potential. The formation of New Autonomous Regions (NAR) grew rapidly, but on the other hand local governments were unable to fund development activities independently but were dependent on balance funds. The objective to be achieved is to analyze the effect of regional government spending on education, health, and infrastructure, as well as other variables namely labor on the economic growth of new autonomous regions in Indonesia. The analysis model used is panel data regression. The results of the study prove that local government spending in real per capita education, real health (lag-1) per capita, and real per capita infrastructure, and the number of workers have a positive and significant effect on economic growth. Economic growth that occurs in the district is not different from the city, so also in the base sector is mostly no different except the mining and quarrying sector.

scholarly journals Economic Growth and Quality Adjusted Human Capital Equation: Moderating Role of Social Capabilities in Africa

2021 ◽  
Vol 2 (2) ◽  
pp. 1-9
Author(s):  
Tonuchi Joseph ◽  
Pauline Obikaonu
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Method Of Moment ◽  
African Countries ◽  
Adoption Of Technology ◽  
Income Per Capita ◽  
Per Capita ◽  
The Difference ◽  
General Method

The role of human capital on economic growth across countries has over time garnered lots of discussion in economic literature. This is fundamental, given that the actual determinant of the difference in income per capita across countries or why some countries are growing faster than other countries has remained an unresolved issue. This study provides a different insight into the nexus between human capital and economic growth by accounting for the role of social capabilities in a panel framework. Specifically, the study covers 40 African countries between 1998-2019, where the General Method of Moment (GMM) was employed to estimate the model. Specifically, it was discovered that without improved legal institutions and better economic opportunities, human capital impact on the growth of income per capita across countries is insignificant though positive. The study concludes that the effectiveness of knowledge accumulation and adoption of technology in a country is hinged on the availability of an enhanced legal, social, and economic environment.

scholarly journals Faktor-faktor Yang Mempengaruhi AHH Provinsi Bali

2019 ◽  
Vol 8 (2) ◽  
pp. 71-83
Author(s):  
Luh Dita Darmayanti ◽  
Surya Dewi Rustariyuni
Keyword(s):  
Life Expectancy ◽  
Government Spending ◽  
Capita Income ◽  
Linear Regression Analysis ◽  
Government Expenditure ◽  
Health Sector ◽  
Per Capita Income ◽  
Income Per Capita ◽  
Education And Health ◽  
Per Capita

The degree of public health can be measured by looking at the amount of Life Expectancy (AHH). AHH is the result of calculating projections often used as one of the People's Welfare Indicators (IKR). Assuming a declining trend in infant mortality rates (IMR) and changes in the population's age composition, the objectives in this study are: 1) to analyze the effect of income per capita, government spending in education, and health simultaneously affect life expectancy in Bali Province / City in the 2011-2017 period and 2) to analyze the effect of per capita income, government spending the education and health sector influences the life expectancy in the Regency / City of Bali Province in the 2011-2017 period. The data used in this study is secondary data in 2011-2017. This study uses Multiple Linear Regression analysis techniques used to process classical assumption test data using Eviews 9. The results of this study stated that the variable income per capita (X1), government expenditure in education (X2), and government expenditure in health (X3) simultaneously affected the life expectancy (Y) in districts/cities in Bali Province. Partially per capita income has a positive and significant impact on life expectancy. Government expenditure in education and government expenditure in health does not affect life expectancy in Bali Province districts/cities.  

scholarly journals PENGARUH PENGELUARAN KESEHATAN DAN PENDIDIKAN SERTA INFRASTRUKTUR TERHADAP INDEKS PEMBANGUNAN MANUSIA DI PROVINSI MALUKU

2017 ◽  
Vol 14 (2) ◽  
pp. 122
Author(s):  
Abdul Kadir Mahulauw ◽  
Dwi Budi Santosa ◽  
Putu Mahardika
Keyword(s):  
Path Analysis ◽  
Government Spending ◽  
Research Method ◽  
Provincial Government ◽  
Income Per Capita ◽  
Health Infrastructure ◽  
Test Criteria ◽  
Per Capita

The purpose of research is to see how the effect of government spending on education, health, and infrastructure to increase HDI District / City in Maluku Province. The research method using path analysis (path analysis) with the test criteria at the level of 5% error to view the Maluku provincial government spending on education, health, infrastructure, and also the income per capita as an intervening variable. Results of the analysis showed that the simultaneous three types of government spending such a significant effect on the HDI. It was found that with R Square of 68.1% and 31.9% explained by other variables outside the model and the partial income per capita as an intervening variable no significant effect on the increase in the HDI.

scholarly journals The Influence of Human Capital on Economic Growth

2021 ◽  
Vol 3 (2) ◽  
pp. 24-30
Author(s):  
Riyanto Wujarso
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Local Governments ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
High Productivity ◽  
Education And Health ◽  
Effect Model ◽  
Financial Growth ◽  
Dominant Influence

This research examines the effect of human capital on regional financial development in West Java Province from 2017 to 2019. This study's procedure employs a quantitative approach, and the data used is secondary data. Secondary evidence in this analysis comes from BPS data reporting. Panel regression with the GLS fixed-effect model approach was used as the research technique. The results of this study are the human capital variable, namely the level of education level. Based on the estimation results in this study, the education variable is considered the variable with the most dominant influence on economic growth. This research also provides suggestions to local governments so that there is a need for an increase in regional expenditure allocations for the education and health sectors to improve the workforce's quality so that they can have high productivity that can encourage financial growth.

scholarly journals PELUANG PARIWISATA DALAM MENURUNKAN KEMISKINAN DI ERA MASYARAKAT EKONOMI ASEAN (MEA)

2016 ◽  
Vol 16 (2) ◽  
pp. 199
Author(s):  
Dody Harris Darmawan ◽  
Adi Yunanto
Keyword(s):  
Economic Growth ◽  
Poverty Reduction ◽  
Fixed Effect Model ◽  
Economic Community ◽  
Estimation Model ◽  
Income Per Capita ◽  
Effect Model ◽  
Tourism Sector ◽  
Per Capita ◽  
Asean Economic Community

ABSTRACTIn 2015, the ASEAN Economic Community (AEC), or better known as Masyarakat Ekonomi ASEAN (MEA) have agreed to jointly deal with the benefit expectations each member state.One of those opportunities to alleviate poverty related MEA is on tourism sector as a result of their visa-free between MEA member countries.Tourism development and economic growth have a mutualism relationship in poverty alleviation.This study analyzes the effect of tourism sector and income per capita on poverty reduction by panel data in 30 provinces of Indonesia in the period 2004 - 2012. Method of analysis uses Least Squaremethod and the estimation model used is Fixed Effect Model (FEM). The empirical results shows the tourism sector and income per capita have a significant effect to poverty reduction. Every 1% increase of tourism sector contribution effects on 0.005% poverty reduction, and every 1% increase of income per capita effects on 0.085%. poverty reduction

scholarly journals Pengeluaran Pariwisata dan Karakteristik Sosial Demografi Rumah Tangga di Provinsi Jawa Tengah

2018 ◽  
Vol 1 (1) ◽  
pp. 45
Author(s):  
Sri Subanti ◽  
Arif Rahman Hakim
Keyword(s):  
Marital Status ◽  
Household Income ◽  
Local Governments ◽  
Demographic Characteristics ◽  
Income Per Capita ◽  
Urban Rural ◽  
Household Members ◽  
Per Capita ◽  
Tourism Expenditure ◽  
Length Of Study

The study about tourism expenditure had been one of the important things in the formulation of tourism development, such as marketing analysis, strategies, and policies. Based on this condition, the purpose of our paper wants to know about the determinants of tourism expenditure at households level based on their demographic characteristics. The findings of this paper, (1) the important factors affecting household tourism expenditure are marital status, sex, household income per capita, education for heads of households, the length of study for household members in average, number of households, urban-rural, and industrial origin for head of household; (2) variables that are positively related to tourism expenditure are marital status, age, education, number of household, household income per capita, the length of study for household members in average, urban-rural, and home ownership. This paper suggest that the local governments should give an attention on households demographic characteristics to formulate the tourism marketing and the tourism policies.<br />Keywords : tourism expenditure, demographic characteristics, households

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