z-logo
open-access-imgOpen Access
Multilevel Analysis: Household and Regional Factors Influence Agricultural Household Poverty in Indonesia, 2019
Author(s) -
Ariful Romadhon,
Diyana Indah Sari,
Bayu Rhamadani Wicaksono
Publication year - 2022
Publication title -
proceedings of international conference on data science and official statistics
Language(s) - English
Resource type - Journals
ISSN - 2809-9842
DOI - 10.34123/icdsos.v2021i1.173
Subject(s) - poverty , agriculture , household income , per capita , socioeconomics , economics , gross domestic product , economic growth , food security , agricultural economics , business , geography , population , demography , archaeology , sociology
The agriculture sector is not only a source of food but also a support for the economic activities of most people in Indonesia, especially in rural areas. Unfortunately, most of their life are still below the Poverty Line/Garis Kemiskinan (GK). The uniqueness of this study is that this study uses household and regional variables to see their effect on agricultural household poverty. Thus, the policies will be taken are not only from the micro-economic of the household but also from the macro-economic perspective. Using multilevel binary logistic regression analysis, this study aims to examine the household and regional factors that affect the household poverty in agriculture sector in 2019 as the potential sector to alleviate poverty. Household and regional factors that affect agricultural household poverty are education, household size, resident area, ownership of pension social security, ownership of social assistance, credit assistance for businesses, and Gross Regional Domestic Product (GRDP) agricultural per capita. The variation of agriculture household poverty due to differences in characteristics between 514 districts in Indonesia is 35.19 percent.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here