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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.