Ketimpangan Pendapatan antara Wilayah Perkotaan dan Perdesaan di Indonesia tahun 2019-2023
DOI:
https://doi.org/10.12962/limits.v22i2.3912Keywords:
Income Inequality, Theil L Index, Digital Economy, Panel Regression ModelAbstract
One of the biggest challenges in income inequality is the existence of income inequality between urban and rural areas, especially in developing countries. In 2019-2023, the average income of urban residents was 1.7 times higher than that of rural residents. The existence of income gaps between urban and rural areas can hinder equitable economic growth and worsen social inequality. Currently, household income is greatly influenced by the integration between the digital economy and the real economy. The development of the digital economy plays a role in increasing economic growth. However, its acceleration risks worsening social exclusion, inequality between groups, and wealth concentration. Therefore, this study aims to analyze the influence of the digital economy on income inequality between urban and rural areas in 33 provinces in Indonesia in 2019-2023 using a panel regression model. The results of measuring income inequality using the Theil L index show that the contribution of income inequality between urban and rural areas to national inequality has decreased in 2019-2023. The development of the digital economy in terms of infrastructure, business climate, research and innovation, and funding/investment has a significant influence in reducing income inequality between urban and rural areas. Meanwhile, in terms of human resources, it has a significant influence in increasing income inequality between urban and rural areas.
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References
M. P. Todaro and S. C. Smith, Economic Development Thirteenth Edition, 13th ed. Pearson, 2020.
Y. Ma, X. Wu, and J. Shui, “The impact of the digital economy on the cost of living of the population: Evidence from 160 cities in China,” Cogent Economics and Finance, vol. 11, no. 2, 2023, doi: 10.1080/23322039.2023.2246007.
Y. Gao, L. Zang, and J. Sun, “Does computer penetration increase farmers’ income? An empirical study from China,” Telecomm Policy, vol. 42, no. 5, pp. 345–360, 2018, doi: 10.1016/j.telpol.2018.03.002.
B. Zhang, W. Dong, J. Yao, and X. Cheng, “Digital Economy, Factor Allocation Efficiency of Dual-Economy and Urban-Rural Income Gap,” Sustainability (Switzerland), vol. 15, no. 18, pp. 1–30, 2023, doi: 10.3390/su151813514.
Y. Zhang, G. Ma, Y. Tian, and Q. Dong, “Nonlinear Effect of Digital Economy on Urban–Rural Consumption Gap: Evidence from a Dynamic Panel Threshold Analysis,” Sustainability (Switzerland), vol. 15, no. 8, 2023, doi: 10.3390/su15086880.
World Economic Forum, “On the Global Risks Report 2023 18th Edition,” 2023.
P. Vassilakopoulou and E. Hustad, “Bridging Digital Divides: a Literature Review and Research Agenda for Information Systems Research,” Information Systems Frontiers, vol. 25, no. 3, pp. 955–969, 2023, doi: 10.1007/s10796-020-10096-3.
J. Mora-Rivera and F. García-Mora, “Internet access and poverty reduction: Evidence from rural and urban Mexico,” Telecomm Policy, vol. 45, no. 2, p. 102076, 2021, doi: 10.1016/j.telpol.2020.102076.
Kementerian Koordinasi Bidang Perekonomian, Buku Putih Strategi Nasional: Pengembangan Ekonomi Digital Indonesia 2030. 2023.
J. Haughton and S. R. Khandker, Handbook on Poverty and Inequality. The World Bank, 2009.
J. Zhu, Z. Li, and H. Wang, “Internet Development and Urban–Rural Consumption Inequality: Evidence from Chinese Cities,” Sustainability (Switzerland), vol. 15, no. 12, pp. 1–15, 2023, doi: 10.3390/su15129755.
H. Li, H. Tian, and M. A. Rabbi, “The impact of informatization on the urban-rural income gap: An empirical investigation of China,” Information Development, 2023, doi: 10.1177/02666669231210839.
D. Wang, “Has Electronic Commerce Growth Narrowed the Urban–Rural Income Gap? The Intermediary Effect of the Technological Innovation,” Sustainability (Switzerland), vol. 15, no. 8, 2023, doi: 10.3390/su15086339.
N. Hao and M. Ji, “Development of Platform Economy and Urban–Rural Income Gap: Theoretical Deductions and Empirical Analyses,” Sustainability (Switzerland), vol. 15, no. 9, 2023, doi: 10.3390/su15097684.
X. Deng, M. Guo, and Y. Liu, “Digital economy development and the urban-rural income gap: Evidence from Chinese cities,” PLoS One, vol. 18, no. 2 February, pp. 1–25, 2023, doi: 10.1371/journal.pone.0280225.
M. Wang and J. Liu, “Deciphering the digital divide: the heterogeneous and nonlinear influence of digital economy on urban-rural income inequality in China,” Appl Econ, vol. 00, no. 00, pp. 1–21, 2024, doi: 10.1080/00036846.2024.2364101.
D. Sun, X. Zhao, G. Zhang, and P. Chen, “Impact of the introduction of high-speed rail on the income gap between urban and rural residents,” PLoS One, vol. 18, no. 11 November, pp. 1–29, 2023, doi: 10.1371/journal.pone.0292105.
J. Tang, J. Gong, W. Ma, and D. B. Rahut, “Narrowing urban–rural income gap in China: The role of the targeted poverty alleviation program,” Econ Anal Policy, vol. 75, no. May, pp. 74–90, 2022, doi: 10.1016/j.eap.2022.05.004.
Y. Song, Y. Zhang, Y. Wang, B. Zhang, and J. Su, “The influence of foreign direct investment on the urban–rural income gap: evidence from China,” Kybernetes, vol. 51, no. 1, pp. 466–484, 2022, doi: 10.1108/K-07-2020-0488.
J. Wen and H. Chen, “Green Innovation and the Urban–Rural Income Gap: Empirical Evidence from China,” Sustainability (Switzerland), vol. 17, no. 5, pp. 1–25, 2025, doi: 10.3390/su17052106.
UNCTAD, “Structural Transformation and Industrial Policy,” 2016. [Online]. Available: http://vi.unctad.org
L. Shi, C. Zhu, D. Tang, and V. Boamah, “The Impact of FDI on China’s Urban–Rural Income Gap,” Sustainability (Switzerland), vol. 14, no. 20, 2022, doi: 10.3390/su142013047.
G. S. Becker, Human Capital: A Theoritical and Empirical Analysis, with Special Reference to Education, 3rd ed. The University of Chicago Press, 1993.
