The Relationship of Indonesia’s Poverty Rate Based on Economic Growth, Health, and Education (original) (raw)

An Analysis on the Influence of Population Growth Rate, Economic Growth, Human Development Index, Income Distribution, and Unemployment Rate toward Poverty in All Provinces in Indonesia

https://www.ijrrjournal.com/IJRR\_Vol.6\_Issue.1\_Jan2019/Abstract\_IJRR0016.html, 2019

This research aims to analyze the influence of population growth rate, economic growth, human development index, income distribution, and unemployment rate toward poverty in all provinces in Indonesia. This research used multiple linear regression model which processed with SPSS. All variables, such as population growth rate, economic growth, human development index, income distribution, and unemployment rate are in form of secondary data, which further proxied with Gini Ratio and unemployment rate in all provinces in Indonesia within 2016. The included data are in form of cross section data. The results show that population growth rate (0,015), economic growth (0,00), human development index (0,035), income distribution (0,01), and unemployment rate (0,00) are simultaneously influencing the poverty in all provinces in Indonesia, significantly

DETERMINANTS OF POVERTY LEVEL IN INDONESIA

Jurnal Ekonomi , 2022

This study observes that there is a slowdown in poverty reduction in Indonesia, so that in order to realize the achievement of no poverty in 2030 it is necessary to carry out further research related to the determinants of poverty in Indonesia. Researchers used panel data from 34 provinces in Indonesia for the 2015-2020 period. The model used is panel data regression using panel data regression analysis. The results of the study are that government spending directly has a significant effect on poverty and indirectly through unemployment has a significant effect but government spending does not have a significant effect on poverty through economic growth, investment has a significant effect on poverty but indirectly boththrough growth and unemployment have no significant effect.

The Influence of The Human Development Index, Unemployment Rate, and Illiteracy Population on Poverty Level in Indonesia for the Period 2015-2020

MUHARRIK: Jurnal Dakwah dan Sosial

Unemployment and poverty are issues that require serious and systematic solutions. So far, the human development index, unemployment rate, and illiteracy rate have dominated. This study looks into how the Human Development Index affects poverty in Indonesia. Second, examine the impact of Unemployment on poverty in Indonesia. Third, examine the impact of Illiteracy on poverty in Indonesia. The Stepwise technique was chosen in this study because it provides information on the independent variables that influence the dependent variable. The Human Development Index, Education Level, and Illiteracy Population were studied sequentially. This study employed secondary data. The statistics were gathered from third sources and are available at the Central Statistics Agency (BPS). The research shows that the three variables are directly associated with poverty in Indonesia. Less effective programs tend to be partial. So, as a policymaker, the government must start an integrated program focusin...

Poverty Rates and The Factors Influencing Poverty Alleviation: A Case Study in The Province of West Kalimantan, Indonesia

Ekuilibrium : Jurnal Ilmiah Bidang Ilmu Ekonomi

There is a trend of decreasing the poverty rate in Indonesia. But in the Province of West Kalimantan, there are still five districts with poverty rates that are above the average national rate, namely Melawi, Landak, Ketapang, Sintang, and North Kayong districts. The purpose of this study is to estimate the relationship between government transfers which are proxied by the amount of GAT (General Allocation Transfer) Funds, economic growth, and the quality of human resources in terms of education and health which are proxied by the average years of schooling and public-health insurance membership. Once these factors can be identified, it is hoped that the government will find it easier to reduce poverty levels. Based on Nested Test, model that passes the goodness of fit test is The Common Effect model so this model is used in estimating and interpreting in this research. It shows that there is no difference in the behavior of the research variables, either between time or between ind...

Determinant of Poverty in Indonesia

Economics Development Analysis Journal

This research aims at knowing the relationship between the labor force participation level, the average of expenditure per capita, the literacy level, and the capital investment and the poverty level in Indonesia at 2014. The secondary data in this research were obtained from the Central Bureau of Statistics (BPS) and the National Population and Family Planning Bureau (BKKBN) in 32 provinces in Indonesia (cross section). The method of research used is Ordinary Least Square Method with level of confidence of 95%. The research result shows that the average of expenditure per capita and the capital lending have a significant influence on the poverty level in 2014, while the labor force participation level and the literacy level have no significant influence on the poverty.

Poverty Analysis and Factors Which Affects Indonesia

Proceedings of the 1st International Seminar on Teacher Training and Education, ISTED 2021, 17-18 July 2021, Purwokerto, Indonesia, 2021

Poverty is one of the problems that humans always face. Poverty is as old as humanity itself, and the implications of the problem can involve all aspects of human life. This study aims to determine and analyze the effect of people's business credit (KUR), Provincial Minimum Wages (UMP), and PMDN investment on Poverty in Indonesia. The data used in this study are secondary in the 2016-2020 period. The method used is multiple linear regression with a panel data approach with Eviews. The regression output with the fixed-effect model shows that the KUR, UMP, and PMDN variables hurt the poverty level in Indonesia. The UMP variable significantly affects the poverty level, while the KUR and PMDN variables have no significant effect on the poverty level. This finding implies that the government can provide business capital, increase wages and provide vast opportunities for investors, which will reduce Poverty in Indonesia

Determinants of Poverty in Indonesia 2015-2019

Sustainable Competitive Advantage, 2021

According to the average of poverty level in Indonesia from 2015-2019 is 10,17 percent, it is show that the poverty in Indonesia has been decrease 1,91 percent, but this achievement has not fulfill the target yet as written in Rencana Pembangunan Jangka Menengah Nasional (RPJMN), which is 7-8 percent. The purpose of this research is to analyze the factors that affect to poverty in Indonesia, including : average length of schooling, labor absorption, income per capita (GRDP per capita), and province minimum wages (UMP). This research use secondary data, with multiple regression analysis and Fixed Effect Model (FEM). The results show, as simultaneous all the independent variable has significant effect to the dependent variable. As partial show that income per capita and labor absorption have positive effect to poverty but only the labor absorption has significant effect. Beside the average length of schooling and province minimum wages have negative insignificant effect to poverty in Indonesia. The implication to decrease the poverty is increasing the number of the labor absorption itself, through easing for making the business license, easing for taking the business credit, and increasing the skills and quality of the labour by intensification and extension the job training and also certification for the labour's skills.

The Effect Of Economic Growth And Income Inequality On Poverty In Indonesia

The purpose of national development is to realize a just, competitive, progressive, and prosperous Indonesian society of the Republic of Indonesia. This study aims to determine the economic growth, inequality of development and its effect on poverty reduction in Indonesia by using 33 provincial panel data from 2009 until 2015. It analyzed by using descriptive and multiple linear regression analysis.The research found that the poverty rate in Indonesia has decreased in line with the improvement in economic conditions which is marked by an average economic growth above 5 percent per year. The result of regression analysis found that there is thepositive and significant effect of Gini index variable to the increase of poverty. It means that any increase in income inequality (Gini index) occurring in Indonesia, could lead to the rise in debt in Indonesia. The human development index variables affect negative and real to poverty. Meanwhile, the growth of Gross Regional Domestic Product (PDRB) has a negative but not real impact on poverty reduction. It shows that every increase of Human Development Index and GDP growth can reduce thepoverty rate in Indonesia. Jel. Classification: E64, O11

Poverty Alleviation in Indonesia (An Empirical Review)

2016

Poverty is one issue that never ends, especially in developing countries. This paper is a study aimed to review of poverty in Indonesia, why does it need a new definition of poverty, indicators of poverty dimensions and poverty reduction strategy. In the end the people's voice, especially the voice of the poor and women, should be heard before the decision-makers when they make decisions and monitor the performance of the services provided to citizens.

Determinants of Poverty in Indonesian Provinces

Proceedings of the 3rd International Conference on Banking, Accounting, Management and Economics (ICOBAME 2020), 2020

Poverty is a global problem faced by a lot of countries, including Indonesia. In this research, the data used are 34 provinces in Indonesia from 2015-2018. The analysis technique used is data pooling that combines times series and cross section. The research result shows that the suitable model to analyze poverty is the fixed effect model. Variables that have a negative effect on poverty are Gross Regional Domestic Bruto per-capita, Sanitation, and net enrollment rate of senior high school, while Gini Ratio has a positive effect. Based on the analysis, there are 14 provinces that have higher poverty percentage than the average province poverty in Indonesia.