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Analysis of Economic and Social Demographic Factors That Influence the Dependency Ratio on the Island of Sumatra Dicky Randika Aji; Emi Maimunah; Dedy Yuliawan; Zulfa Emalia
International Journal of Economics, Management and Accounting (IJEMA) Vol. 1 No. 7 (2023): December
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v1i7.83

Abstract

This study aims to analyze the influence of education level, the proportion of married women who use birth control, life expectancy, per capita income, labor force on the dependency ratio. The method and analytical tools used in this research are panel data regression. The dependent variable used is the dependency ratio and the independent variables are education level, proportion of married women who use birth control, life expectancy, per capita income, labor force. The best model obtained is the Random Effect Model. The research results show that regardless of education level, the proportion of married women who use birth control, life expectancy, per capita income, labor force have a positive and significant effect on the dependency ratio on Sumatra Island.
Relationship Between Environmental Degradation, Economic Factors, And Tourism Indicators In Priority Tourism Destination Provinces In Indonesia Royyan Akbar; Zulfa Emalia
Economics and Digital Business Review Vol. 6 No. 1 (2025)
Publisher : STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The tourism sector is one of the important sectors in increasing economic growth in Indonesia. However, in addition, the tourism sector can also indirectly cause negative effects, namely environmental degradation in the form of carbon emissions caused by several tourism activities. This study aims to analyze the influence of carbon emissions, GRDP which is one of the economic factors, the number of foreign tourists which is one of the tourism indicators, and the population in five provinces that are priority tourist destinations in Indonesia in 2010 - 2019, and also see the long-term influence between related variables. This study uses panel data with a quantitative approach that is analyzed with several tests, including the residual normality test, panel unit root test, cointegration test, and FMOLS test. The results of the study indicate that the GRDP and number of foreign tourists variables have a positive and significant effect, while the energy consumption and population variables have a negative and significant effect. The cointegration and FMOLS tests show that in this study there is a long-term effect between GRDP, the number of foreign tourists, energy consumption, population, and carbon emissions in five priority tourist destination provinces in Indonesia.
Analysis of Economic and Social Demographic Factors That Influence the Dependency Ratio on the Island of Sumatra Dicky Randika Aji; Emi Maimunah; Dedy Yuliawan; Zulfa Emalia
International Journal of Economics, Management and Accounting (IJEMA) Vol. 1 No. 7 (2023)
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v1i7.83

Abstract

This study aims to analyze the influence of education level, the proportion of married women who use birth control, life expectancy, per capita income, labor force on the dependency ratio. The method and analytical tools used in this research are panel data regression. The dependent variable used is the dependency ratio and the independent variables are education level, proportion of married women who use birth control, life expectancy, per capita income, labor force. The best model obtained is the Random Effect Model. The research results show that regardless of education level, the proportion of married women who use birth control, life expectancy, per capita income, labor force have a positive and significant effect on the dependency ratio on Sumatra Island.
Multidimensional Poverty Analysis on the Islands of Java–Bali 2014-2018 Fera Citra Mursalita; Zulfa Emalia
International Journal of Economics, Management and Accounting (IJEMA) Vol. 2 No. 1 (2024)
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 A. Taufiq Akbar; Arivina Ratih Y.T.; Asih Murwiati; Zulfa Emalia
International Journal of Economics, Management and Accounting (IJEMA) Vol. 2 No. 7 (2024)
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.