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Unleashing the potential of mobile broadband: Evidence from Indonesia's underdeveloped regions on its role in reducing income inequality
Affiliation:1. Research Center for Public Policy, National Research and Innovation Agency, Gatot Subroto 10, Jakarta 12710, Indonesia;2. Graduate Program in Telecommunications Management, Department of Electrical Engineering, Universitas Indonesia, Depok, Indonesia;1. Spiegel Research Center, Medill School of Journalism, Media, IMC, Northwestern University, 1845 Sheridan Rd, Fisk Hall 305, Evanston, IL 60202, USA;2. Department of Radio-TV-Film, The University of Texas at Austin, 2504 Whitis Ave. Stop A0800, Austin, TX 78712, USA;3. Pukyong National University, 45 Yongso-ro, Nam-Gu, Busan 48513, Republic of Korea;1. School of Information Management, Sun Yat-sen University, Guangzhou, Guangdong 510006, China;2. Cyberspace Administration of Guangzhou, Guangzhong, Guangdong 510040, China;3. School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China;1. Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, South Korea;2. KB Kookmin Card, Seoul, South Korea;1. KPMG, Customer & Operations Financial Services, Chicago, IL, United States;2. Oklahoma State University, Dept. of Agricultural Economics, 529 Ag Hall, Stillwater, OK 74078, United States;3. Purdue University, Dept. of Agricultural Economics, 403 West State Street, West Lafayette, IN 47907, United States
Abstract:Although numerous studies have explored the relationship between information and communication technology (ICT) and socioeconomic development, limited research has focused on the impact of ICT infrastructure expansion on income distribution. This study aims to fill this research gap by investigating the effect of mobile broadband network coverage on income inequality in underdeveloped regions of Indonesia using unbalanced panel data encompassing 122 second-level subnational regions over the period from 2018 to 2021. This study utilizes map charts to visually depict the disparities in mobile broadband coverage and income inequality across the selected regions and ordinary least squares (OLS) regression on the pooled panel data to estimate the relationship between the two variables. The findings reveal an inverted U-shaped relationship between mobile broadband coverage and income inequality, indicating an adverse effect on inequality during the early stages of network deployment that persists until coverage reaches approximately 60 percent of the population area. Beyond this threshold, the effect becomes favorable in reducing inequality. The findings of this study remain robust even after accounting for potential biases, utilizing fixed and random effect models, and disaggregating the data for the pre- and during-pandemic periods. However, a minor discrepancy in statistical significance is observed when the dataset is disaggregated by the level of regional development. The implications of these findings are discussed, providing theoretical insights and policy/practical implications for addressing income inequality.
Keywords:ICT  Mobile broadband  Income inequality  Inverted U-shaped  Nonlinear  Indonesia
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