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Journal : International Journal of Economics, Management and Accounting

Multidimensional Poverty Analysis on the Islands of Java–Bali 2014-2018 Citra Mursalita, Fera; Emalia, Zulfa
International Journal of Economics, Management and Accounting (IJEMA) Vol. 2 No. 1 (2024): June
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v2i1.139

Abstract

Poverty continues to be an issue faced by all nations, especially in developing countries. Poverty refers to a condition where an individual or a group of people lacks the ability to meet the minimum standard of living considered appropriate for a decent life. Measuring poverty solely through monetary dimensions is insufficient; hence, a multidimensional approach to measuring poverty is crucial. During the period from 2014 to 2018, the highest reduction in the Multidimensional Poverty Index occurred in 2014, with a percentage decrease of 18.4%. This study uses secondary data and panel data analysis on 7 provinces in Java and Bali from 2014 to 2018 to examine the impact of the Multidimensional Poverty Index in Java and Bali. The study shows that 1) Gross Regional Domestic Product has a significant negative effect on the Multidimensional Poverty Index in Java and Bali. 2) The prevalence of malnutrition in toddlers does not significantly affect the Multidimensional Poverty Index in Java and Bali. 3) The average length of schooling has a significant negative effect on the Multidimensional Poverty Index in Java and Bali. 4) The source of electricity has a significant positive effect on the Multidimensional Poverty Index in Java and Bali.
Analysis of the Determinants of Provincial Income Inequality in Indonesia Taufiq Akbar, A.; Ratih Y.T., Arivina; Murwiati, Asih; Emalia, Zulfa
International Journal of Economics, Management and Accounting (IJEMA) Vol. 2 No. 1 (2024): June
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v2i1.160

Abstract

This research aims to analyze the influence of economic growth, the contribution of the agricultural sector, the contribution of the industrial sector, and the level of open unemployment on income inequality in all provinces in Indonesia. The method and analytical tools used in this research are panel data regression. The dependent variable used is the Gini index for all provinces in Indonesia and the independent variables include economic growth, agricultural sector contribution, industrial sector contribution and open unemployment rate. The best model obtained is the Fixed Effect Model. The research results show that economic growth, the contribution of the agricultural sector has a positive and significant effect on income inequality in all provinces in Indonesia, while the contribution of the industrial sector and the open unemployment rate do not have a significant effect on income inequality in all provinces in Indonesia.