Abstract
The problem of poverty is complex. The existence of this complexity conduces the need for countermeasures programs which are integrated and do not overlap. Nowadays, the government is still attempting to continue eradicating poverty. The percentage of poverty in DIY currently is the highest in Java and the value is above the national poverty average. The purpose of this research is to analyze what factors which influence poverty in districts/cities in DIY. This research applied the panel data regression test with the dependent variable poverty and the independent variables TPT, RLS, UMK, and UHH. The panel data used is five regencies/cities in DIY and used data from 2013-2022. The selected model is FEM. The statistical test result indicates that the variables UMK, TPT, and RLS have a significant effect on poverty. However, UHH has no significant effect.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceeding of The International Seminar on Business, Economics, Social Science and Technology (ISBEST)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
