Spatial Autocorrelation and Convergence of GDRP Per Capita in Java and Kalimatan Island
- DOI
- 10.2991/978-2-38476-046-6_33How to use a DOI?
- Keywords
- spatial autocorrelation; convergence; GRDP per capita
- Abstract
This research aims to analyze the spatial autocorrelation of GRDP per capita between provinces in Java and Kalimantan. The second objective is to analyze whether there is Absolute Beta Convergence and Conditional Beta GRDP per capita between provinces on Sumatra Island and Kalimantan Island. The analytical tool used is the Moran Index to determine the occurrence of spatial relationships and panel data regression to estimate the determinants of per capita GRDP. The estimation results showthere is no spatial relationship of GRDP per capita in the provinces of Java and Kalimantan. The second finding is that there is no Absolute Beta and Conditional Beta Convergence in Java and Kalimantan. The variables of Road Infrastructure, Communication Technology, and Human Development Index (IPM) have a positive and significant effect on GRDP per capita in Java and Kalimantan. Meanwhile, Foreign Direct Investment (FDI) has a positive but not significant effect on GRDP per capita in the two regions.
- Copyright
- © 2023 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 - Ida Budiarty AU - Zulfa Emalia AU - Akbars Jayusman PY - 2023 DA - 2023/05/02 TI - Spatial Autocorrelation and Convergence of GDRP Per Capita in Java and Kalimatan Island BT - Proceedings of the 3rd Universitas Lampung International Conference on Social Sciences (ULICoSS 2022) PB - Atlantis Press SP - 336 EP - 345 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-046-6_33 DO - 10.2991/978-2-38476-046-6_33 ID - Budiarty2023 ER -