Abstract
The Gender Development Index in Indonesia and East Java 2019 is still below the world and national average. This shows that the equality of development between male and female in East Java is still lagging behind other provinces. The novelty of this research is trying to revisit the issue of the Gender Development Index (GDI) in East Java. This research aims to analyze the effect of Gross Regional Domestic Product (GRDP), poor population, and Labor Force Participation Rate (LFPR) on the Gender Development Index (GDI) in East Java partially and simultaneously. This research uses quantitative research methods with panel data regression analysis techniques. The data used in this research is secondary data obtained from the Central Bureau of Statistics in East Java during 2017-2019. The results of this research showed that the GRDP variable and poor population variable have a negative and significant effect on the Gender Development Index. Meanwhile, the LFPR variable has an insignificant and positive effect on the Gender Development Index. In addition, simultaneously the variable of GRDP, poor population, and LFPR has a significant effect on the Gender Development Index. Currently, there is still a gap between the roles of men and women. The role of women is still not optimally utilized because women's resources in the fields of health, education, and the workforce are still low. But this can be overcome if there is an increase in the labor productivity of both male and female residents so the income of the population will also increase and the number of poor people decreases. The implication of this research is the role of all parties, especially the government, is needed to pay more attention to and increase population growth and reduce poverty levels to increase gender equality in East Java. Keywords : GRDP; Gender Development Index; Poverty
Highlights
The success of the development of a country can be measured from the high and low levels of economic growth, the higher the rate of economic growth in the development of a country can be better
If the test results show that the Chi-Square probability value is greater than the significance level, i.e. 0.05 the most appropriate model to use is the Common Effect Model, but if the Chi-Square probability value is less than the 0.05 significance level, the model used is suitable for use is the Fixed Effect Model (FEM) (Novtaviana, 2020)
Source : Secondary data output after processing 2021; (Camila, 2021). This test is carried out with the following hypothesis: H0 = Common Effect Model (CEM) H1 = Fixed Effect Model (FEM) Based on table 1, it can be seen that the results of panel data regression with the Chow test show a probability value of 0.0000, smaller than the significance level = 0.05 so that H0 is rejected and H1 is accepted, the suitable model to use is the Fixed Effect Model (FEM)
Summary
The success of the development of a country can be measured from the high and low levels of economic growth, the higher the rate of economic growth in the development of a country can be better It is necessary for terms of human quality, especially from the aspect of gender equality. The GDI value in Indonesia in 2017-2019 is 0.936, 0.938, and 0.940 points and is classified as one of 3 countries in ASEAN that has a GDI value below the global average with a value of 0.942, 0.941, and 0.943 points This indicates that in Indonesia the equality of development between men and women is still quite lagging when compared to other ASEAN countries, or it can be said that in Indonesia there is still inequality in development achievements
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