Ainistikmalia, Nurin
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Analisis Kemiskinan Multidimensi dan Ketahanan Pangan Provinsi Kalimantan Utara Ainistikmalia, Nurin; Kharisma, Bayu; Budiono, Budiono
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 22, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Poverty is multidimensional and has a close relationship with food insecurity. By using the Alkire-Foster MPI with four dimensions (monetary, health, education, basic infrastructure), it was found that the monetary dimension has a role and contributes to multidimensional poverty although it’s not the main factor. The causes of poverty are obtained from other dominant dimensions. Meanwhile, the portrait of household food security in North Kalimantan Province in aggregate has been classified into food security category. It is concluded that poverty affects food security. This study proves that multidimensional poor households are very likely to become food insecurity households.
Determinants of The Elderly Female Population with Low Economic Status in Indonesia Ainistikmalia, Nurin
Jurnal Ilmu Ekonomi Terapan Vol. 4 No. 2 (2019)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (33.662 KB) | DOI: 10.20473/jiet.v4i2.14033

Abstract

Data from the Central Statistics Agency (2010) shows that more than half of the elderly population are elderly women. The results of studies and empirical studies also show that elderly women are vulnerable to various aspects of life, including poverty. This study aims to provide an overview of the condition of elderly women in Indonesia and determine the determinants/characteristics of the elderly female population with low economic status. The source of the data used comes from the Central Statistics Agency. The analytical methodology used is descriptive analysis and multiple regression analysis. The results show that the characteristics of elderly women in Indonesia are living with widowhood, lower education, more unemployed, and low health rates. In multiple regression analysis, it found that the variables of elderly women who do not work, the morbidity rate of elderly women, elderly women with widow status, elderly women with the status of head of household and elderly women who are illiterate simultaneously have an influence and can explain thevariables of elderly women with economic status. low at 51.3 percent. Keywords: Population Aging, Poverty, Economic Status, Elderly Women JEL: I30; P42