Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)

Spatio-Temporal Analysis of Regional Economic Dynamics Using Geographic Information System in Central Kalimantan Province

Authors
Ratna Afriyanti1, Choirul Amin1, *, Wahyu Tyas Pramono1
1Faculty of Geography, Muhammdiyah Surakarta University, Surakarta, 57162, Central Java, Indonesia
*Corresponding author. Email: ca122@ums.ac.id
Corresponding Author
Choirul Amin
Available Online 26 June 2023.
DOI
10.2991/978-2-38476-066-4_13How to use a DOI?
Keywords
Regional Economic Dynamics; Leading Sector; Geographic Information System
Abstract

Central Kalimantan Province is a region with the lowest level of economic development when compared to other provinces on Kalimantan Island. The low level of economic growth is the basis for this research because several factors influence that. Spatio-Temporal Analysis of Regional Economic Dynamics Using a Geographic Information System (GIS) in Central Kalimantan Province is a method for analyzing regional economic development with the dimensions of location and time with the unit analysis used is each regency/city in Central Kalimantan Province. This study aims to analyze the Spatio-Temporal of regional economic development in Central Kalimantan Province, how the development of existing leading sectors, and the relationship or influence of the two. The method used is a quantitative method with Spatio-Temporal analysis using GIS. The data used is the Gross Regional Domestic Product (GRDP) of Central Kalimantan Province at constant market price by industrial origin in 2015–2021. The result of the study shows that economic development in Central Kalimantan Province between 2016–2021 was quite volatile and economic development in each regency/city experienced disparities. Fluctuating changes also occurred in the development of leading sectors. Overall, the growth rate and contribution of each sector were still less consistent. The leading sectors influence regional economic development, however, it is not viewed from the number of existing leading sectors, but from their contribution and consistency. In general, the leading sectors in each regency/city of Central Kalimantan Province have not been able to properly stimulate the regional economy.

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.

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Volume Title
Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
26 June 2023
ISBN
10.2991/978-2-38476-066-4_13
ISSN
2352-5398
DOI
10.2991/978-2-38476-066-4_13How to use a DOI?
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  - Ratna Afriyanti
AU  - Choirul Amin
AU  - Wahyu Tyas Pramono
PY  - 2023
DA  - 2023/06/26
TI  - Spatio-Temporal Analysis of Regional Economic Dynamics Using Geographic Information System in Central Kalimantan Province
BT  - Proceedings of the International Conference of Geography and Disaster Management (ICGDM 2022)
PB  - Atlantis Press
SP  - 193
EP  - 215
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-066-4_13
DO  - 10.2991/978-2-38476-066-4_13
ID  - Afriyanti2023
ER  -