TY - JOUR
T1 - Inequalities of Indonesia’s regional digital development and its association with socioeconomic characteristics
T2 - a spatial and multivariate analysis
AU - Kartiasih, Fitri
AU - Djalal Nachrowi, Nachrowi
AU - Wisana, I. Dewa Gede Karma
AU - Handayani, Dwini
N1 - Publisher Copyright:
© 2022 Commonwealth Secretariat.
PY - 2022
Y1 - 2022
N2 - Drawing on multivariate, spatial agglomeration, cluster analysis, and the Ordinary Least Squares (OLS) regression, this paper aims to reveal the spatial inequalities in the digital development of households and individuals at 460 districts/cities in Indonesia and its association with socioeconomic characteristics. The results show a significant district digital divide characterized by a decline of regional digital development index (RDDI) values from the west to the east and from core cities to more peripheral ones. Cities with high RDDI values are mainly concentrated in large metropolitan areas in western Indonesia, whereas districts with low values tend to concentrate in rural-mountainous regions, remote areas, and archipelagos in eastern Indonesia. However, the digital divide declined from 2015 to 2019, indicating that Indonesian regions are becoming more digitally convergent. Education, gross regional domestic product (GRDP) per capita, population, and the number of formal workers have a positive and significant impact on RDDI.
AB - Drawing on multivariate, spatial agglomeration, cluster analysis, and the Ordinary Least Squares (OLS) regression, this paper aims to reveal the spatial inequalities in the digital development of households and individuals at 460 districts/cities in Indonesia and its association with socioeconomic characteristics. The results show a significant district digital divide characterized by a decline of regional digital development index (RDDI) values from the west to the east and from core cities to more peripheral ones. Cities with high RDDI values are mainly concentrated in large metropolitan areas in western Indonesia, whereas districts with low values tend to concentrate in rural-mountainous regions, remote areas, and archipelagos in eastern Indonesia. However, the digital divide declined from 2015 to 2019, indicating that Indonesian regions are becoming more digitally convergent. Education, gross regional domestic product (GRDP) per capita, population, and the number of formal workers have a positive and significant impact on RDDI.
KW - convergence
KW - digital divide
KW - economic development
KW - ICT development index
KW - Indonesia
KW - spatial agglomeration
UR - http://www.scopus.com/inward/record.url?scp=85136941638&partnerID=8YFLogxK
U2 - 10.1080/02681102.2022.2110556
DO - 10.1080/02681102.2022.2110556
M3 - Article
AN - SCOPUS:85136941638
SN - 0268-1102
VL - 29
SP - 299
EP - 328
JO - Information Technology for Development
JF - Information Technology for Development
IS - 2-3
ER -
