Open AccessStructural equation modeling on the post-flood regional public welfare in South Kalimantan
Author(s) -
W A A Sur,
I S Machfiroh,
Radurmalina
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2106/1/012012
Subject(s) - structural equation modeling , flood myth , welfare , data collection , public welfare , econometrics , geography , statistics , socioeconomics , environmental science , mathematics , economics , political science , public economics , law , archaeology
This research was conducted to know the structural equation model on public welfare in the post-flood region of South Kalimantan in early 2021. The method and analysis in this study used Structural Equation Model (SEM) with compared the Maximum Likelihood (ML) and Generalized Least Square (GLS) approach to test and estimate the suitability of the post-flood public welfare model in South Kalimantan. The data collection technique in this study used a questionnaire to the people in areas victims of floods in South Kalimantan. The result is GLS approach gave more fit data than MLE based on AGFI and GFI values. The validated models gave the structural equation model with the final interpretation is Economy condition gives the significant relationship to the post-flood public welfare in South Kalimantan.