PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Vol. 2021 No. 1 (2021): Proceedings of 2021 International Conference on Data Science and Official St

Multilevel Analysis: Household and Regional Factors Influence Agricultural Household Poverty in Indonesia, 2019

Ariful Romadhon (BPS-Statistics of Indonesia)
Diyana Indah Sari (BPS-Statistics of Indonesia)
Bayu Rhamadani Wicaksono (BPS-Statistics of Indonesia)



Article Info

Publish Date
04 Jan 2022

Abstract

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.

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Journal Info

Abbrev

icdsos

Publisher

Subject

Computer Science & IT

Description

International Conference on Data Science and Official Statistics International Conference on Data Science and Official Statistics (ICDSOS) 2023 is organized by Politeknik Statistika STIS and Statistics Indonesia (BPS). This international conference in collaboration with Forum Pendidikan Tinggi ...