MASEM Infrastructure in Underdeveloped Areas of Java Island

Abstract

This article develops a method of modeling meta-analytical structural equations (MASEM) which merge meta-analysis and modeling of structural equations on infrastructural issues in underdeveloped areas of Java Island in Indonesia. The implementation of this research is MASEM modeling using the approach of generalized least squares. The modeling is used to analyze the factors affecting the infrastructure of the underdeveloped areas in the provinces located on Java Island. This study uses three exogenous latent variables (economy, accessibility, and regional characteristics) and one endogenous latent variable (infrastructure). The results of the implementation of this study indicate that the "accessibility factor", which is an indicator of the average distance from the capital/district to access to health services, has a positive and significant effect on the infrastructure of underdeveloped areas of Java Island. This result can be used as a reference for the government in determining policy directions to tackle the problems of underdeveloped areas; in particular, in the infrastructure dimension.