Poverty and Inequality in Yogyakarta: Insights from a Comprehensive Study
- DOI
- 10.2991/978-2-38476-247-7_2How to use a DOI?
- Keywords
- poverty; inequality; logistic model; households
- Abstract
Poverty and income inequality are big challenges in Yogyakarta, causing problems at the national level. Using poverty line and Gini index construction and a non-parametric binary logistic regression approach, this study investigated the inequality level in each district/city and investigated the determinants of poverty among households. Data from the National Social and Economic Survey of Households (Susenas) in 2021 and 2022 were used. This study result revealed that living in urban areas, married household head, and receiving government assistance through conditional cash transfer (CCT) increases poverty likelihood. Meanwhile, other variables such as the age of the household head, having health insurance, good education level, higher expenditure level of education, health, and insurance, being an active smoker, and owning a house asset decrease the poverty likelihood among households.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Didi Nuryadin AU - Surpiko Hapsoro Darpito AU - Sultan Sultan AU - Gita Astyka Rahmanda PY - 2024 DA - 2024/09/04 TI - Poverty and Inequality in Yogyakarta: Insights from a Comprehensive Study BT - Proceedings of the 2nd International Conference on Advance Research in Social and Economic Science (ICARSE 2023) PB - Atlantis Press SP - 5 EP - 19 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-247-7_2 DO - 10.2991/978-2-38476-247-7_2 ID - Nuryadin2024 ER -