Boosting GDP through Technology: Exploring the Impact of Digital Inclusion in Indonesia
Abstract
This research examines the influence of digital inclusion on Indonesia's GDP growth from 2017 to 2022. The study utilizes quantitative panel data analysis, enabling an in-depth investigation of the impact of mobile phone ownership and internet access on GDP, using data sourced from the Indonesian Central Bureau of Statistics (BPS) and other sources. The findings reveal that increased mobile phone ownership significantly enhances GDP, underscoring the role of communication technology in driving economic growth. However, while internet access is essential, it does not demonstrate a significant impact on GDP during the studied period, indicating areas for potential improvement in infrastructure and digital literacy.
References
Abdullah, H. , Sahudin, Z. , & Bahrudin, N. (2023). Short Guides to Static Panel Data Regression Model Estimator. Asian Journal of Accounting and Finance, 4(4), 1–6. https://doi.org/10.55057/ajafin.2022.4.4.1
Acemoglu, D. (2009). Introduction to Modern Economic Growth.
Allam, A. S., Bassioni, H. A., Kamel, W., & Ayoub, M. (2020). Estimating the standardized regression coefficients of design variables in daylighting and energy performance of buildings in the face of multicollinearity. Solar Energy, 211, 1184–1193. https://doi.org/10.1016/j.solener.2020.10.043
Baltagi, B. H. (2021). Econometric Analysis of Panel Data. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-53953-5
Barcenilla-Visús, S., López-Pueyo, C., & Sanaú-Villarroya, J. (2014). Semi-Endogenous Versus Fully Endogenous Growth Theory: A Sectoral Approach. Journal of Applied Economics, 17(1), 1–30. https://doi.org/10.1016/S1514-0326(14)60001-5
Barro, R. J., Becker, G., Canova, F., De Long, B., Gros, D., Grossman, H., … Jose Suarez, J. (1990). Government Spending in a Simple Model of Endogenous Growth. In Journal of Political Economy (Vol. 98). Retrieved from http://www.journals.uchicago.edu/t-and-c
Binkley, J., & Young, J. (2022). The Chow Test with Time Series-Cross Section Data. Journal of Statistical and Econometric Methods, 35–53. https://doi.org/10.47260/jsem/1213
BPS. (2022). Jumlah Penduduk menurut Wilayah, Daerah Perkotaan/Perdesaan, dan Jenis Kelamin, INDONESIA, 2022. Retrieved August 30, 2024, from Badan Pusat Statistik website: https://sensus.bps.go.id/topik/tabular/sp2022/187/0/0
Capolupo, R. (2008). The New Growth Theories and Their Empirics after Twenty Years. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1726682
Cui, G., Hayakawa, K., Nagata, S., & Yamagata, T. (2023). A Robust Approach to Heteroscedasticity, Error Serial Correlation and Slope Heterogeneity in Linear Models with Interactive Effects for Large Panel Data. Journal of Business & Economic Statistics, 41(3), 862–875. https://doi.org/10.1080/07350015.2022.2077349
Finaka, A. W. (2023). Berapa Jumlah Penduduk Indonesia Ya? Retrieved August 29, 2024, from Indonesia Baik website: https://indonesiabaik.id/infografis/berapa-jumlah-penduduk-indonesia-ya
Haftu, G. G. (2019). Information communications technology and economic growth in Sub-Saharan Africa: A panel data approach. Telecommunications Policy, 43(1), 88–99. https://doi.org/10.1016/j.telpol.2018.03.010
Hartnett, M. (2019). Digital Inclusion in New Zealand. In Journal of Open (Vol. 23). Retrieved from https://www.internetworldstats.com/stats.htm
Howitt, P. (2004). Endogenous Growth, Productivity and Economic Policy: A Progress Report. International Productivity Monitor, 8, 3–15.
Jayani, D. H. (2020). Berapa Jumlah Penduduk Perkotaan di Indonesia? Retrieved August 30, 2024, from Databoks website: https://databoks.katadata.co.id/datapublish/2019/09/11/berapa-jumlah-penduduk-perkotaan-di-indonesia
Jones, C. (2021). The Past and Future of Economic Growth: A Semi-Endogenous Perspective. Cambridge, MA. https://doi.org/10.3386/w29126
Kemendagri. (2024). Produk Domestik Bruto (PDB). Retrieved August 28, 2024, from Satu Data Perdagangan website: https://satudata.kemendag.go.id/data-informasi/perdagangan-dalam-negeri/produk-domestik-bruto
Le Gallo, J., & Sénégas, M.-A. (2023). On the Proper Computation of the Hausman Test Statistic in Standard Linear Panel Data Models: Some Clarifications and New Results. Econometrics, 11(4), 25. https://doi.org/10.3390/econometrics11040025
Lütgen, I. (2019). Digital Divide, Digital Inclusion and Inclusive Education. Advances in Social Sciences Research Journal, 6(4), 193–206. https://doi.org/10.14738/assrj.6457
Mamouei, M., Zhu, Y., Nazarzadeh, M., Hassaine, A., Salimi-Khorshidi, G., Cai, Y., & Rahimi, K. (2022). Sparse Principal Component Analysis for Statistical Inference in the Presence of Multicollinearity: A Case Study of Environmental Exposures on All-cause Mortality in UK Biobank. Retrieved from https://api.semanticscholar.org/CorpusID:246514750
Mankiw, N. G. (2010). MACROECONOMICS.
Mei, P., & Cheng, X. (2024). Research on the Impact of Digital Financial Inclusion on Regional Economic Growth. Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China. EAI. https://doi.org/10.4108/eai.27-10-2023.2342020
Mohajan, H. K. (2020). Quantitative Research: A Successful Investigation in Natural and Social Sciences. Journal of Economic Development, Environment and People, 9(4). https://doi.org/10.26458/jedep.v9i4.679
Novianti, A. G., & Asmara, A. (2023). The Development of Digital Technology and Its Impact on Indonesia’s Economic Growth. International Journal of Research and Review, 10(9), 297–319. https://doi.org/10.52403/ijrr.20230932
Opendata Kalbar. (2023, March 6). Jumlah Penduduk Menurut Provinsi di Indonesia (ribu jiwa), 2017–2021. Retrieved August 31, 2024, from Opendata Kalbar website: https://data.kalbarprov.go.id/dataset/jumlah-penduduk-menurut-provinsi-di-indonesia-ribu-jiwa-2017-2021
Romer, P. M. (1990). Endogenous Technological Change. Journal of Political Economy, 98(5, Part 2), S71–S102. https://doi.org/10.1086/261725
Sharp, M. (2022). Revisiting digital inclusion: A survey of theory, measurement, and recent research. Oxford, UK. https://doi.org/10.35489/BSG-DP-WP_2022/04
Shrestha, N. (2020). Detecting Multicollinearity in Regression Analysis. American Journal of Applied Mathematics and Statistics, 8(2), 39–42. https://doi.org/10.12691/ajams-8-2-1
Tampubolon, B. D., Isharyadi, F., Ayuningtyas, U., Mulyono, A. B., Ayundyahrini, M., Febriansyah, H., … Aliyah, N. (2023). Contribution Of Indonesian National Standard (Sni) On Gross Domestic Products (Gdp). Jurnal Standardisasi, 25(2), 65. https://doi.org/10.31153/js.v25i2.992
Thach, N. N. (2021). How have NESTs grown? Explanations based on endogenous growth theory. Cogent Economics & Finance, 9(1). https://doi.org/10.1080/23322039.2021.1913847
Widarwati, E., Solihin, A., & Nurmalasari, N. (2022). Digital Finance For Improving Financial Inclusion Indonesians’ Banking. Signifikan: Jurnal Ilmu Ekonomi, 11(1), 17–30. https://doi.org/10.15408/sjie.v11i1.17884
World Economic Forum. (2024, January 16). Accelerating digital inclusion for 1 billion people by 2025. Retrieved August 28, 2024, from World Economic Forum website: https://www.weforum.org/impact/digital-inclusion/?gad_source=1&gclid=CjwKCAjw8rW2BhAgEiwAoRO5rEl0umOLkIGIcdr3U-4VjH7iPDUqJyteaNKX9YdKVOyDsh-DA7Mm9xoC3t0QAvD_BwE
