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Journal : International Journal of Quantitative Research and Modeling

The Effect of Energy Consumption, Energy Resources, Economic Growth, and Road Infrastructure on Co2 Emissions in Indonesia Zulfikar Zulfikar; Sofyan Syahnur; M. Shabri Abd. Majid
International Journal of Quantitative Research and Modeling Vol 2, No 3 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i3.173

Abstract

This study aims to analyze the effect of energy resources, energy consumption, and road infrastructure on economic growth and their effect on CO2 emissions in Indonesia. This study uses time series data in Indonesia for the period 2000 to 2019 and the analytical model used is the Auto Regressive Distributed Lag (ARDL) model. The results found in this study are variables that have a significant effect on economic growth in the short term are road infrastructure in the same period, in the previous period, as well as in the previous 2 periods and resources. Meanwhile, the ones that have a significant effect in the long term are road infrastructure and energy resources. Variables that have a significant effect on CO2 emissions in the short term are road infrastructure, energy consumption in the previous period, economic growth in the previous period, energy consumption and energy resources. While the variables that influence in the long term are economic growth and energy resources.
The Effect of Gender and Household Education Expenditure in Indonesia Tedy Di Oria Salam; M. Shabri Abd. Majid; Taufiq C Dawood; Suriani Suriani
International Journal of Quantitative Research and Modeling Vol 2, No 4 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i4.192

Abstract

This study empirically examines and analyzes the effect of gender on human capital investment in Indonesia. Using the logistic regression method and data sourced from 315,672 households in Indonesia, this study shows that the number of boys, the number of girls, the working status of the head of the household, and the highest education of the head of the household have a positive and significant impact on human capital investment in Indonesia. The results show that female household heads who work and invest in the cost of children's education are more significant than male household heads who also work. Higher the education level of the head of the household, the higher the income received and also investment for children. This research shows strong evidence of gender inequality in education spending that tends to be more towards girls. Based on the results obtained, development policies can consider gender differences in investment in labor and education. Increasing the school participation rate of women compared to men will increase the differentiation of the workforce by gender but also increase income inequality between men and women. Likewise, investment in education which tends to be more directed to women than men, will reduce income inequality.
Examining the Long and Short Run Effect of Young Workers on Macroeconomic Variables: An Application of Panel Autoregressive Distributed Lag Approach Rizky Wardhana; Vivi Silvia; M. Shabri Abd. Majid
International Journal of Quantitative Research and Modeling Vol 2, No 4 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v2i4.180

Abstract

The purpose of this research is to analyze the linkage between young workers and macroeconomic variables in Indonesia through a cointegration and causality approach. Multivariate causality between these variables. Using ARDL panel regression (Auto-Regressive Distributed Lag) with data from 2005 – 2019 covering 33 provinces in Indonesia. The results showed that the variable government expenditure on education had no effect on young workers in the short and long term, the variable economic growth only had a positive and significant effect on young workers in the long term. The increase in the minimum wage has a significant negative effect on young workers in the short term, and vice versa, it has a positive and significant effect on the long term. The last variable that has an effect is the investment variable which has a negative and significant effect in the short term on young workers. The results of multivariate causality testing between the variables above have the result that young workers have a two-way causal relationship with the minimum wage and have a one-way relationship with government spending on education.