JSTAR
Vol 3 No 01 (2023): Jurnal Statistika Terapan

Determinan Status Kerawanan Pangan Rumah Tangga Di Provinsi Nusa Tenggara Timur: Analisis Regresi Logistik

Anna Ellenora Nainupu (Badan Pusat Statistik Provinsi Nusa Tenggara Timur)
Kadir (Badan Pusat Statistik)



Article Info

Publish Date
28 Jun 2023

Abstract

One dimension of poverty is hunger or food insecurity. Food insecurity is closely related to the Sustainable Development Goals (SDGs), especially Goal 2, which aims to end hunger, achieve food security, improve nutrition, and promote sustainable agriculture. The latest data shows that the prevalence of people with moderate/severe food insecurity in East Nusa Tenggara Province is the highest in Indonesia. This study aims to examine the socioeconomic variables that influence household food insecurity status. The logistic regression model estimation results show that urban/rural status, number of household members, age, gender, education level, employment status, head of household business field, land ownership, and food expenditure share significantly affect household food insecurity. From those variables, there are three important variables that must be considered for the case of NTT, namely the number of household members, the education level of the head of household, and the share of household food expenditures. Interventions such as expanding family planning promotions, implementing non-formal education (Package A, B, C Learning Groups) for non-school-age household heads, and ensuring targeted community empowerment programs are still relevant to accelerate the decline in household food insecurity.

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Journal Info

Abbrev

JSTAR

Publisher

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

Description

Aim: JSTAR studies applied statistics at the regional and national levels of East Nusa Tenggara which are directed to contribute to the government in making regional development policies. JSTAR pays special attention to official and modeling statistics, big data and data mining, and the application ...