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All Journal EKO-REGIONAL JURNAL PENGEMBANGAN EKONOMI WILAYAH Economics and Finance in Indonesia
Waris Marsisno
Politeknik Statistika STIS
Economics, Econometrics & Finance

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Availability of Infrastructure for Poverty Reduction in Indonesia: Spatial Panel Data Analysis Galih Pramono; Waris Marsisno
Economics and Finance in Indonesia Volume 64, Number 2, December 2018
Publisher : Institute for Economic and Social Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (12.003 KB) | DOI: 10.47291/efi.v64i2.587

Abstract

Poverty is a key issue in various developing countries, including Indonesia. One of the efforts to reduce poverty is building the infrastructure. Therefore, this study aims to determine the effect of infrastructure on the level of poverty by considering the spatial effect in the period 2011–2015. This study applies spatial panel data analysis with Spatial Autoregressive (SAR) model with fixed effect. The findings show that the infrastructure of electricity, health, sanitation, and building of senior high school has a significant negative impact on the percentage of the underprivileged people. Meanwhile, the building of elementary school has a significant positive impact on the percentage of the underprivileged people.
Labor Productivity Convergence in Indonesia: Spatially Dynamic Panel Data Analysis Ahmad Fajar Novianto; Waris Marsisno
EKO-REGIONAL Vol 14, No 2 (2019)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.erjpe.2019.14.2.1291

Abstract

The problem of labor productivity in Indonesia is a regional and sectoral inequality. To know the time required to remove inequality, can be measured by the level of convergence of labor productivity. The research would analyze the rate of sectoral labor productivity convergence among provinces in Indonesia spatially and identify the determinant factors of labor productivity. The analytical methods used is spatial dinamic panel data with Spatially Corrected Blundell-Bond (SCBB) estimation method. The results show that there are spatially sectoral labor productivity convergence. Primary sector takes the longest half-life convergence of 7-8 years, while secondary takes 1-2 years and tertiary sector takes 3-4 years. Furthermore, the Gross Capital Fixed Formation, Mean Years of Schooling, and real wage sectoral are significantly have positive affect to the labor productivity while Life Expectancy is significantly have negative affect to labor productivity.Keywords : convergence, spatial analysis, labor productivity
Co-Authors Ahmad Fajar Novianto Galih Pramono