Who get paid higher? A study on wages decomposition between manufacturing and non-manufacturing workers in Indonesia

In 2008, Indonesia became a member of the G20, and it is estimated that in 2030 it will be in the top seventh economic countries if it can keep growing. Nevertheless, high economic growth was followed by an inequality problem. This study will analyze the wage gap between manufacturing and non-manufacturing workers. Using Sakernas 2020 and the Mincer wage model regression, the result showed that all independent variables: age, level of education, gender, region of residence, marital status, toddler, disability status, and certificate training influence wages for both manufacturing and non-manufacturing workers. Next, the Blinder-Oaxaca method decomposes the wage gap between both groups. It is shown that manufacturing workers get higher wages than non-manufacturing workers because of differences in the characteristic of workers and also industry attributes which, in this case, capital intensity

Faktor Penentu Stunting: Analisis Komparasi Masa Millenium Development Goals (MDGs) dan Sustainable Development Goals (SDGs) di Indonesia

This study aims to analyze, before and after the SDGs agenda in Indonesia, the determinants of stunting through household characteristics, mother characteristics and child characteristics. Stunting is a condition in which, due to direct and indirect causes, toddlers fail to thrive or are too short compared to children of their age and is a nutritional problem that is the government's focus.  Nationally, at the end of the Millennium Development Goals (MDGs) in 2015, the prevalence rate of stunting in Indonesia was 36.4 percent and 30.8 percent in 2018. This figure is still above the RPJMN target for 2019, namely 28% stunting and the WHO stipulation, namely 20% stunting prevalence in 2025 and 0% stunting prevalence in 2030 according to the SDGs target. Access to clean water, access to sanitation, access to health services, national health insurance, housing, underweight mothers, mothers with parental education, birth weight and premature births were the variables studied in this study. This research uses secondary data, processed with logistic regression, from Riskesdas in 2013 and 2018. Results showed that under-five birth weight, underweight mothers, shelter, access to sanitation, access to clean water and preterm birth had a significant (significant) association with the incidence of under-five stunting

Does Investment and Energy Infrastructure Influence Convergence in Sumatra Island, Indonesia?

This research aims to prove the existence of a convergence process and analyse the effect of investment and energy infrastructure on the convergence process on Sumatra Island by including the element of space to understand spatial convergence better. The dataset used in panel data consists of 154 regions (district/municipality) from 2010 to 2020. The analytical tools used with a spatial econometric approach consist of Spatial Autoregressive (SAR) and Spatial Error Model (SEM). The results of the convergence test prove that there is convergence in both absolute and conditional convergence, and there is a difference in the speed of convergence for the two equations. Meanwhile, the results of the spatial approach state that there are spatial dependencies so that neighbouring regions influence the region. The estimation results of conditional β-convergence reveal that investment and government spending in infrastructure has a positive and significant effect, in contrast to energy infrastructure, which has a negative and significant relationship, and only human capital is not significant to the convergence process in Sumatra