Provincial Real Economic Growth in Indonesia: Investigating Key Factors Through Spatial Analysis

Authors

  • Kahar Muzzakar Statistics of Aceh Province, Banda Aceh 23121, Indonesia; Department of Economics, Faculty of Economics and Business, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
  • Sofyan Syahnur Department of Economics, Faculty of Economics and Business, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
  • Muhammad Abrar Department of Economics, Faculty of Economics and Business, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia

DOI:

https://doi.org/10.60084/eje.v1i2.66

Keywords:

Geographically weighted panel regression, Gross regional domestic product, Poverty indicators , Quality economic growth, Real economic growth

Abstract

This study addresses the need to understand provincial real economic growth, as measured by gross regional domestic product (GRDP), by conducting a spatial analysis. The study focuses on the influential factors of physical investment, working labor force, social infrastructure relative to the head-count index of poverty, and human development index (HDI). Data from 34 provinces spanning eight years (2015-2022) were examined using geographically weighted panel regression with a fixed effect of provincial units and adaptive bisquare kernel function as spatial weights. The study identifies distinct spatial patterns in the variable impact on provincial real economic growth, forming groups based on influential factors. Physical investment and HDI significantly drive growth in most provinces. The working labor force strongly impacts Papua Island’s growth. Intriguingly, social infrastructure relative to the head-count index of poverty link to economic growth emerges in the central and eastern regions of Indonesia (Kalimantan, Sulawesi, Maluku, and Papua), highlighting its role in poverty reduction and inclusive growth. The findings highlight the importance of region-specific policies to optimize the potential of these variables and promote balanced economic growth across the province.

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References

  1. Refqi, M., Hidayat, A. K. (2019). Determinants of Regional Disparities in Indonesia: Lessons from Provincial Level (201906)
  2. Wahyudi, H., Palupi, W. A. (2023). Natural Resources Curse in Indonesia, International Journal of Energy Economics and Policy, Vol. 13, No. 2, 349–356. doi:10.32479/ijeep.14077
  3. Nugroho, P., Syahnur, S., Suriani. (2022). The impact of real government spending in physical and social infrastructures on economic growth, Indonesian Treasury Review: Jurnal Perbendaharaan, Keuangan Negara Dan Kebijakan Publik, Vol. 7, No. 4, 287–300
  4. Rochmatullah, M. R., Winarna, J., Gantyowati, E. (2020). Economic Growth in Indonesian New Outonomous: Social-Economic Perspective, JEJAK, Vol. 13, No. 1, 170–187. doi:10.15294/jejak.v13i1.22816
  5. Arifah, S., Auwalin, I., Qodrunnada, A., Vauzi, R. (2022). Impact of Decrease in Cultural Tourism Visits on Gross Regional Domestic Product of Blitar Regency During The Covid-19 Pandemic, Journal of Indonesian Applied Economics, Vol. 10, No. 1, 1–7. doi:10.21776/ub.JIAE.2022.010.01.1
  6. Amirusholihin, Listiono. (2018). DEMOGRAPHIC BONUS ANALYSIS AND ECONOMIC GROWTH OF EAST JAVA, East Java Economic Journal, Vol. 2, No. 1, 8–21. doi:10.53572/ejavec.v2i1.10
  7. Adityara, R. (2020). Determinant Factors on Indonesia Economic Growth, EkBis: Jurnal Ekonomi Dan Bisnis, Vol. 3, No. 1, 252–260. doi:10.14421/EkBis.2019.3.1.1179
  8. Ervina, M. E., Jaya, I. G. N. M. (2019). Analyzing Factors Affecting GRDP in Indonesia Using Spatial Panel Data Model, Modern Applied Science, Vol. 13, No. 1. doi:10.5539/mas.v13n1p148
  9. Nunnenkamp, P., Qureshi, S. K., Khan, A. H. (2001). Why Economic Growth Trends Differ So Much across Developing Countries in the Era of Globalisation, The Pakistan Development Review, Vol. 40, No. 4, 315–343
  10. Yin, J., Li, S., Zhou, L., Jiang, L., Ma, W. (2022). Spatial heterogeneity of the economic growth pattern and influencing factors in formerly destitute areas of China, Journal of Geographical Sciences, Vol. 32, 829–852. doi:10.1007/s11442-022-1974-9
  11. Zhu, W., Chen, J. (2022). The spatial analysis of digital economy and urban development: A case study in Hangzhou, China, Cities, Vol. 123. doi:10.1016/j.cities.2022.103563
  12. Boschma, R., Martín, V., Minondo, A. (2015). Neighbor regions as the source of new industries (1508), Papers in Evolutionary Economic Geography (PEEG)
  13. LeSage, J., Pace, R. K. (2009). Introduction to Spatial Econometrics, CRC Press Taylor $ Francis Group., Boca Raton
  14. Syahnur, S., Frohberg, K. K., Ryu, D., Diantimala, Y. (2021). Enriching the Socio-Economic Inequality Model by Using Alternative Indices, Economics & Sociology, Vol. 14, No. 4, 47–72. doi:10.14254/2071-789X.2021/14-4/3
  15. Eva, M., Cehan, A., Corodescu-Roșca, E., Bourdin, S. (2022). Spatial patterns of regional inequalities: Empirical evidence from a large panel of countries, Applied Geography, Vol. 140. doi:10.1016/j.apgeog.2022.102638
  16. Anselin, L. (1988). Spatial Econometrics: Methods and Models, Kluwer Academic Publishers, Netherlands
  17. Sholihin, M., Soleh, A. M., Djuraidah, A. (2017). Geographically and Temporally Weighted Regression (GTWR) for Modeling Economic Growth using R, International Journal of Computer Science and Network, Vol. 6, No. 6, 800–805
  18. Khan, M. T. I., Anwar, S., Sarkodie, S. A., Yaseen, M. R., Nadeem, A. M. (2023). Do natural disasters affect economic growth? The role of human capital, foreign direct investment, and infrastructure dynamics, Heliyon, Vol. 9, No. 1, e12911. doi:10.1016/j.heliyon.2023.e12911
  19. Elistia, Syahzuni, B. A. (2018). The Correlation of the Human Development Index (HDI) Towards Economic Growth (GDP Per Capita) in 10 Asean Member Countries, Journal of Humanities and Social Studies, Vol. 2, No. 2. doi:10.33751/jhss.v2i2.949
  20. Rosita, N. (2017). Analysis of Work Performance and Export Competitiveness in Province of Indonesia, Sriwijaya International Journal of Dynamic Economics and Business, Vol. 1, No. 3. doi:10.29259/sijdeb.v1i3.277-296
  21. Buan, F. C. H., Fitriani, R., Nurjannah. (2021). Estimating Gross Regional Domestic Product (GRDP) District/City in East Nusa Tenggara with Spatial Dynamic Panel Data, Wacana, Jurnal Sosial Dan Humaniora, Vol. 24, No. 4
  22. Handayani, L. M. W., Djuraidah, A., Syafitri, U. D. (2017). Modeling of Gross Regional Domestic Product in Central Java, Indonesia, International Journal of Scientific & Engineering Research, Vol. 8, No. 9
  23. Affandi, Y., Anugrah, D. F., Bary, P. (2019). Human capital and economic growth across regions: a case study in Indonesia, Eurasian Economic Review, Vol. 9, 331–347. doi:10.1007/s40822-018-0114-4
  24. Spyridaki, N.-A., Ioannou, A., Flamos, A. (2016). How Can the Context Affect Policy Decision-Making: The Case of Climate
  25. Change Mitigation Policies in the Greek Building Sector, Energies, Vol. 9, No. 4, 294. doi:10.3390/en9040294
  26. Li, C., Managi, S. (2021). GWPR.light: Geographically Weighted Panel Regression. R package version 0.1.1.
  27. Bivand, R., Keitt, T., Rowlingson, B., Pebesma, E., Sumner, M., Hijmans, R., Rouault, E. (2021). rgdal: Bindings for the ‘Geospatial’ Data Abstraction Library. R package version 1.2-16.
  28. Baltagi, B. H. (2005). Econometrics Analysis of Panel Data (Third Ed.), John Wiley and Sons, England
  29. Croissant, Y., Millo, G. (2018). Panel Data Econometrics with R, Panel Data Econometrics with R, John Wiley & Sons, Hoboken. doi:10.1002/9781119504641
  30. Fotheringham, A. S., Brunsdon, C., Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, John Wiley & Sons, England
  31. Myers, R. H. (1986). Classical and Modern Regression with Applications, PWS, United States of America

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Published

2023-08-28

How to Cite

Muzzakar, K., Syahnur, S. and Abrar, M. (2023) “Provincial Real Economic Growth in Indonesia: Investigating Key Factors Through Spatial Analysis”, Ekonomikalia Journal of Economics, 1(2), pp. 40–50. doi: 10.60084/eje.v1i2.66.