Analysis of Poverty in Java-Bali Island and Regions Outside Java-Bali (original) (raw)
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The issue of poverty is still a strategic development issue carried out by the Bali Provincial Government. The poverty reduction efforts have been carried out by the regencies/cities of Bali Province with various development programs, but the number of poor people still shows that there is a level of poverty inequality between regencies/cities in Bali Province. This study aims to examine and analyze the influence of social and economic factors on poverty levels in the Bali Province, Indonesia. The social factors in question are population density, unemployment rate, education, and life expectancy. While several economic factors studied included investment, income distribution, and contribution of the agricultural sector. The data in this study are panel data covering socioeconomic data and poverty levels in nine regencies/cities in Bali Province during the period 2007-2017. Data analysis was carried out with a quantitative approach using panel data multiple regression methods and equipped with descriptive analysis. The results of the study showed that education, investment, and the contribution of the agricultural sector has a negative effect on poverty levels. Population density, unemployment rate, life expectancy, and income distribution has a positive effect on poverty levels. Suggestions to policy makers, first, the regencies with low investment levels (Bangli, Karangasem, and Jembrana Regencies) to make innovative breakthrough efforts to attract investors to invest according to the potential of each region to support the sustainable development of Bali; and second, the consistency of pro-poor principles of social assistance spending policies.
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Poverty is a condition in which a person is below the minimum standard value line, especially in terms of income and consumption. The phenomenon of poverty is one of the macroeconomic diseases, as a developing country poverty is a low standard of living. The purpose of this study was to analyze the effect of the variables of local original income, regional minimum wage, movement, and education simultaneously and partially on poverty in the Regency/City of Bali Province in the 2015-2020 period, and also to analyze the variables with the dominant contribution in influencing poverty. in the Regency/City of the Province of Bali in the 2015-2020 period. The data used in this study is secondary data obtained from the Central Statistics Agency as many as 54 data. The data analysis technique used in this research is multiple linear analysis technique. The results of the analysis show that local revenue, regional minimum wages, and education simultaneously have a significant effect on poverty in the districts/cities of Bali Province in the 2015-2020 period. Regional original income, regional minimum wage and education partially have a negative and significant effect on poverty. the variable partially has no effect on poverty. The education variable is the variable that has the most dominant influence on poverty in the districts/cities of Bali Province in the 2015-2020 period compared to local revenue, regional minimum wages, and movement.
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This study aims to determine the effect of economic growth, HDI, inflation, and unemployment to poverty level in Central Java regency / city. The method of analysis used in this study is a method of panel data analysis combination between time series with cross-sectional analysis as a data processing tool using Eviews 9. The model chosen in this research is the random effect model. The result of regression model of random effect shows that economic growth, ipm, and inflation have negative effect on poverty level. While unemployment positively affect the level of poverty. For F test, the variable of economic growth, HDI, inflation, and unemployment together (simultaneously) have an effect on poverty level.
Determinan Poverty In District With The Highest Poverty Rate In South Sulawesi Province
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The objectives of this research is to analyze the direct and indirect effects of education, health, and the number of people working on poverty intervening GRDP in the District with the highest poverty ratein South Sulawesi Province. The type of data to be analyzed in this research is secondary data in the form of data panels (pooled data) with the characteristics of cross section and time series simultaneously. The data was analyzed using Path Analysis method, through the application software SPSS Amos 21. The results showed that for direct effect, education and working population had a positive and significant effect on GRDP, health had a negative and significant effect on GRDP. Education and the working population have a negative and significant effect on poverty, the GRDP and health have no significant effect on poverty. For indirect effects, education and the number of GRDP people working through have a positive and significant effect on poverty, health through GRDP has a negative and significant effect on poverty.