DAPATKAH TEKNOLOGI INFORMASI MEMENGARUHI KINERJA PEREKONOMIAN?

(SEBUAH KAJIAN SPILLOVER DI PULAU SUMATERA)

Authors

  • aan budhi willyana BPS Provinsi Sumatera Utara
  • Erwin Tanur Pusdiklat, Badan Pusat Statistik

DOI:

https://doi.org/10.26593/be.v28i1.6056.1-20

Keywords:

economic performance, GDRP per capita, spatial econometric, internet access, Sumatera

Abstract

Mastery of information technology and improvement of human quality is one of the efforts to increase economic output in a region. This study aims to see the effect of information technology on the performance of economic's achievement in Sumatera with the quality of population as a variable control, as well as the possibility of spatial effects between regions in it. The analysis uses panel data covering 154 districts/cities in Sumatera from 2011-2021. Scatterplot analysis and correlation matrix show a positive and strong correlation between the variables of information technology and HDI on economic performance. The results of the Global Moran and Local Moran tests also show a significant spatial effect in terms of the use of information technology and the GRDP per capita of districts/cities in Sumatera. In addition, hot-spots (high-high clusters), cold-spots (low-low clusters), and spatial outliers are formed and show a persistent pattern in 2011 and 2021. The spatial and nonspatial economic performance modeling also shows that computer use is a vital factor affecting regional performance in Sumatera. The spills-over effect that causes positive spatial interactions also indicates that economic progress in an area will affect economic progress in adjacent areas.

 

References

Masfufah. (2013). Konvergensi Dan Faktor-Faktor Yang Mempengaruhi Disparitas Wilayah Kabupaten/Kota Di Indonesia. Sosiohumaniora, 15(2). https://doi.org/10.24198/sosiohumaniora.v15i2.5746

Ahmad, N. A., Ismail, N. W., & Hook, L. S. (2011). The role of ICT infrastructure on Malaysian trade. International Journal of Economics and Management, 5(1).

Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publisher.

Anselin, L. (1995). Local indicators of spatial organization -LISA. Research, 27(2).

Anselin, L., Sridharan, S., & Gholston, S. (2007). Using exploratory spatial data analysis to leverage social indicator databases: The discovery of interesting patterns. Social Indicators Research, 82(2). https://doi.org/10.1007/s11205-006-9034-x

Ayanso, A., Cho, D. I., & Lertwachara, K. (2014). Information and Communications Technology Development and the Digital Divide: A Global and Regional Assessment. Information Technology for Development, 20(1). https://doi.org/10.1080/02681102.2013.797378

BPS. (2021). Pertumbuhan Ekonomi Indonesia 2021. Www.Bps.Go.Id, 13, 12. https://www.bps.go.id/pressrelease/2021/02/05/1811/ekonomi-indonesia-2020-turun-sebesar-2-07-persen--c-to-c-.html

Choi, C. (2010). The effect of the Internet on service trade. Economics Letters, 109(2). https://doi.org/10.1016/j.econlet.2010.08.005

Choi, J. Y., Jeong, S., & Kim, K. (2015). A study on diffusion pattern of technology convergence: Patent analysis for Korea. Sustainability (Switzerland), 7(9). https://doi.org/10.3390/su70911546

Dettmer, B. (2014). International Service Transactions: Is Time a Trade Barrier in a Connected World? International Economic Journal, 28(2). https://doi.org/10.1080/10168737.2013.825305

Donou-Adonsou, F., Lim, S., & Mathey, S. A. (2016). Technological Progress and Economic Growth in Sub-Saharan Africa: Evidence from Telecommunications Infrastructure. International Advances in Economic Research, 22(1). https://doi.org/10.1007/s11294-015-9559-3

Elistia, E., & Syahzuni, B. A. (2018). The Correlation Of The Human Development Index (Hdi) Towards Economic Growth (Gdp Per Capita) In 10 Asean Member Countries. Jhss (Journal Of Humanities And Social Studies), 2(2). https://doi.org/10.33751/jhss.v2i2.949

Fingleton, B., & López-Bazo, E. (2006). Empirical growth models with spatial effects. Papers in Regional Science, 85(2). https://doi.org/10.1111/j.1435-5957.2006.00074.x

Fink, C., Mattoo, A., & Neagu, I. C. (2005). Assessing the impact of communication costs on international trade. Journal of International Economics, 67(2). https://doi.org/10.1016/j.jinteco.2004.09.006

Griffith, D. A., & Anselin, L. (1989). Spatial Econometrics: Methods and Models. Economic Geography, 65(2). https://doi.org/10.2307/143780

Gujarati, D. N., & Porter, D. C. (2008). Basic Econometrics. In Introductory Econometrics: A Practical Approach.

Hanum, A. N., & Sinarasri, A. (2019). Analisis Faktor-Faktor Yang Mempengaruhi Adopsi E Commerce Dan Pengaruhnya Terhadap Kinerja Umkm (Studi Kasus Umkm Di Wilayah Kota Semarang). Maksimum, 7(1). https://doi.org/10.26714/mki.7.1.2017.1-15

Harris, L. (2000). A Theory of Intellectual Capital. In Advances in Developing Human Resources (Vol. 2, Issue 1). https://doi.org/10.1177/152342230000200104

Hughes, G. (2011). Implementing procedures for spatial panel econometrics in Stata Spatial analysis in Stata. Group, September.

Jungmittag, A., & Welfens, P. J. J. (2009). Liberalization of EU telecommunications and trade: Theory, gravity equation analysis and policy implications. International Economics and Economic Policy, 6(1). https://doi.org/10.1007/s10368-009-0125-4

Kagermann, H., Lukas, W.-D., & Wahlster, W. (2011). Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI Nachrichten, 13.

Kementerian Komunikasi dan Informatika. (2020). Laporan Tahunan 2019 Kementerian Komunikasi dan Informatika Republik Indonesia. In Kominfo (Issue Maret).

Kosfeld, R., Mitze, T., Rode, J., & Wälde, K. (2021). The Covid-19 containment effects of public health measures: A spatial difference-in-differences approach. Journal of Regional Science, 61(4). https://doi.org/10.1111/jors.12536

Lee, S. H., Levendis, J., & Gutierrez, L. (2012). Telecommunications and economic growth: An empirical analysis of sub-Saharan Africa. Applied Economics, 44(4). https://doi.org/10.1080/00036846.2010.508730

Liu, L., & Nath, H. (2013). Information and communications technology and trade in emerging market economies. In Emerging Markets Finance and Trade (Vol. 49, Issue 6). https://doi.org/10.2753/REE1540-496X490605

Mankiw Gregory, N., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. Quarterly Journal of Economics, 107(2). https://doi.org/10.2307/2118477

Muhtarom, A. (2017). Disparitas Pendapatan Regional Kabupaten Dan Kota Di Provinsi Jawa Timur. Jurnal Akuntansi, 2(2). https://doi.org/10.30736/jpensi.v2i2.98

Nath, H. K., & Liu, L. (2017). Information and communications technology (ICT) and services trade. Information Economics and Policy, 41. https://doi.org/10.1016/j.infoecopol.2017.06.003

Niebel, T. (2018). ICT and economic growth – Comparing developing, emerging and developed countries. World Development, 104. https://doi.org/10.1016/j.worlddev.2017.11.024

Noviar, N. (2021). Analisis Ketimpangan Dan Klasifikasi Pembangunan Ekonomi Kabupaten/Kota Di Provinsi Banten Tahun 2016-2020. Jurnal Kebijakan Pembangunan Daerah, 5(1). https://doi.org/10.37950/jkpd.v5i1.118

Nurwanda, A., & Rifai, B. (2018). Diagnosis Pertumbuhan Ekonomi dan Output Potensial Indonesia. Kajian Ekonomi Dan Keuangan, 2(3). https://doi.org/10.31685/kek.v2i3.385

Pradana, R. S. (2021). Pengaruh Akses Teknologi Informasi Dan Komunikasi Terhadap Pertumbuhan Ekonomi Provinsi Banten Tahun 2015-2019. Jurnal Kebijakan Pembangunan Daerah, 5(1). https://doi.org/10.37950/jkpd.v5i1.114

Simbolon, T. R. (2017). Analisa Keterkaitan Ketimpangan Pembangunan Antar Daerah Terhadap Pertumbuhan Ekonomi di Wilayah Sumatera. Jurnal Ekonomi Dan Bisnis, 8(4).

Tajerin, T., Fauzi, A., Juanda, B., & Adrianto, L. (2017). Tendensi Proses Konvergensi Dan Penentu Pertumbuhan Ekonomi Wilayah Pulau Utama Di Indonesia, 1985-2010. Jurnal Sosial Ekonomi Kelautan Dan Perikanan, 8(2). https://doi.org/10.15578/jsekp.v8i2.5671

Tobler, W. R. (1979). Cellular geography. Philosophy in Geography, 379–386. https://doi.org/10.1007/978-94-009-9394-5_18

Weissgerber, T. L., Winham, S. J., Heinzen, E. P., Milin-Lazovic, J. S., Garcia-Valencia, O., Bukumiric, Z., Savic, M. D., Garovic, V. D., & Milic, N. M. (2019). Reveal, Don’t Conceal: Transforming Data Visualization to Improve Transparency. In Circulation (Vol. 140, Issue 18, pp. 1506–1518). NLM (Medline). https://doi.org/10.1161/CIRCULATIONAHA.118.037777

Downloads

Published

2024-05-27