JSTAR
Vol 5 No 1 (2025): Jurnal Statistika Terapan

Analisis Ketimpangan Pembangunan Antarkabupaten/Kota di Provinsi Nusa Tenggara Timur Tahun 2021-2024

Chandra Rinaldy Mbura (Badan Pusat Statistik Provinsi Nusa Tenggara Timur)
Christian Putra Ginting (Badan Pusat Statistik Kabupaten Bintan)



Article Info

Publish Date
30 Jun 2025

Abstract

One of the key missions outlined in the Asta Cita of Indonesia's President and Vice President is achieving equitable development. However, Nusa Tenggara Timur (NTT) remains a province facing significant challenges in this regard. This study analyzes development inequality across regencies and municipalities in NTT from 2021 to 2024, using the Bonet index as a measure of regional disparity. Descriptive analysis, based on variance and mean values of the Bonet index, shows a tendency toward increasing inequality during the period. Additionally, boxplot analysis reveals that Kupang Municipality consistently stands as an outlier, indicating its development level is significantly higher than that of other districts in NTT. Panel data regression analysis shows that variables such as the Human Development Index (HDI), Open Unemployment Rate (TPT), and the growth rate of the primary sector have a positive and significant impact on regional disparity, while capital expenditure does not significantly affect regional disparity. Based on these findings, it is recommended that the NTT provincial government prioritize equitable human development, targeted unemployment reduction, economic diversification, and optimize capital expenditure for the purpose of balanced regional development.

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Journal Info

Abbrev

JSTAR

Publisher

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

Description

Aim: JSTAR studies applied statistics at the regional and national levels of East Nusa Tenggara which are directed to contribute to the government in making regional development policies. JSTAR pays special attention to official and modeling statistics, big data and data mining, and the application ...