Modeling the Economic Growth Rate in South Sulawesi Province Using a Spatial Analysis Approach: Pemodelan Laju Pertumbuhan Ekonomi di Provinsi Sulawesi Selatan menggunakan Pendekatan Analisis Spasial

Adiatma; Risnawati Ibnas; Endang Astuti

doi:10.24252/msa.v14i1.70409

Modeling the Economic Growth Rate in South Sulawesi Province Using a Spatial Analysis Approach

Pemodelan Laju Pertumbuhan Ekonomi di Provinsi Sulawesi Selatan menggunakan Pendekatan Analisis Spasial

Authors

Adiatma Universitas Islam Negeri Alauddin Makassar
Risnawati Ibnas Universitas Islam Negeri Alauddin Makassar
Endang Astuti Universitas Islam Negeri Alauddin Makassar

DOI:

https://doi.org/10.24252/msa.v14i1.70409

Keywords:

Economic Growth Rate, Spatial Analysis, Spatial Error Model, Queen Contiguity, South Sulawesi Province

Abstract

Economic growth is one of the indicators used to measure the success of regional development. The
economic growth rate in South Sulawesi Province is influenced by several socioeconomic factors and may exhibit spatial effects among regions. This study aims to model the economic growth rate in South Sulawesi Province using a spatial analysis approach and to identify the factors that significantly affect economic growth in 2023. The data used are secondary data obtained from the Central Bureau of Statistics (BPS) of South Sulawesi Province, covering 24 districts/cities. The explanatory variables include the open unemployment rate, poverty rate, expected years of schooling, labor force participation rate, average years of schooling, and population. Spatial analysis was conducted using the Spatial Error Model (SEM) based on the Queen Contiguity spatial weight matrix. The results show that the SEM is the most appropriate model for describing the economic growth rate in South Sulawesi Province. The expected years of schooling and labor force participation rate significantly affect the economic growth rate, while the spatial error coefficient indicates the presence of spatial dependence among districts/cities in South Sulawesi Province.

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Published

2026-06-30

How to Cite

[1]

Adiatma, R. Ibnas, and E. Astuti, “Modeling the Economic Growth Rate in South Sulawesi Province Using a Spatial Analysis Approach: Pemodelan Laju Pertumbuhan Ekonomi di Provinsi Sulawesi Selatan menggunakan Pendekatan Analisis Spasial”, MSA, vol. 14, no. 1, pp. 148–155, Jun. 2026.

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Vol. 14 No. 1 (2026): VOLUME 14 No 1, 2026

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