Claim Missing Document
Check
Articles

Found 12 Documents
Search

Faktor – faktor yang mempengaruhi indeks pembangunan manusia di Provinsi Papua Tahun 2015-2019 Mandu Chaironi; Jalu Aji Prakoso
e-Jurnal Perspektif Ekonomi dan Pembangunan Daerah Vol. 11 No. 2 (2022): e-Jurnal Perspektif Ekonomi dan Pembangunan Daerah
Publisher : Konsentrasi Pembangunan Regional dan Publik, Prodi Ekonomi Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/pdpd.v11i2.20778

Abstract

This research makes use of secondary facts with panel data evaluation, consisting of time series records for 2015-2019 and go section facts for 27 towns/districts in Papua Province. The secondary statistics taken encompass the Human improvement Index (HDI), Gross regional domestic Product (GRDP), income distribution, and poverty levels. The consequences of this have a look at indicate that there's a positive have an impact on among profits distribution at the Human development Index (HDI), poverty level which has a significant poor impact at the Human improvement Index (HDI), and profits distribution which has a high quality impact on the Human development Index (IPM) in Papua Province. 2015-2019 years.
Employment Participation and Determinants of the Gender Wage Gap in the Head of the Household Jihad Lukis Panjawa; Retno Sugiharti; Jalu Aji Prakoso; Muhammad Arif Kurniawan
Optimum: Jurnal Ekonomi dan Pembangunan Vol. 12 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/optimum.v12i2.6320

Abstract

The distortion model becomes a problem in development planning, including in the development goals of reducing discrimination and concerns. These two things are closely related to gender expectations on work participation. The purpose of this study was to estimate the gender pay gap at the work participation rate of household heads in Magelang during the Covid-19 pandemic. The analytical tools used are Probit regression and the decomposition of the Blinder-Oaxaca model. The model decomposes wage differentials by gender. The study uses the 2020 SAKERNAS data. The results show that work participation for male household heads is determined by the marginal effect of work experience, age and area of residence, not education level and number of family dependents, while female household heads are only determined because of the number factor. family responsibilities. Furthermore, the potential work experience of male household heads has a significant negative effect. Research findings from the Blinder-Oaxaca Decomposition calculation show that the difference in wages between groups of household heads during the Covid 19 pandemic proved statistically significant. The role of the government is expected to be more active in disseminating policies related to gender in the labor market and exercising control over business actors in implementing labor regulations.