Sectoral Public Expenditure and Income Inequality in Indonesia: A Spatial Panel Approach

Ita Pingkan Fasnie Rorong; Tri Oldy Rotinsulu; Dennij Mandeij; Muhammad Ridwan Manulusi; Angela Nirmala Maria Lumi

doi:10.61255/jeemba.v4i4.1152

Authors

Ita Pingkan Fasnie Rorong Universitas Sam Ratulangi, Indonesia
Tri Oldy Rotinsulu Universitas Sam Ratulangi, Indonesia
Dennij Mandeij Universitas Sam Ratulangi, Indonesia
Muhammad Ridwan Manulusi Universitas Sam Ratulangi, Indonesia
Angela Nirmala Maria Lumi Universitas Sam Ratulangi, Indonesia

DOI:

https://doi.org/10.61255/jeemba.v4i4.1152

Keywords:

Regional Income Inequality, Government Expenditure, Spatial Spillovers, Fiscal Decentralization

Abstract

Purpose – This study evaluated the impact of sectoral local government expenditures (economic, health, education, and social protection) on regional income inequality. To address the specification bias inherent in traditional frameworks, this research explicitly accommodated spatial spillover mechanisms.

Design/methodology/approach – The empirical analysis utilized a balanced macro-level panel dataset comprising 33 Indonesian provinces, yielding 495 observations over a 15-year observation period from 2010 to 2024. A Spatial Durbin Model accommodated unobserved individual heterogeneity while simultaneously capturing endogenous spatial interactions. Marginal policy impacts were extracted via Monte Carlo parametric bootstrap simulations.

Finding/Results – A positive spatial autoregressive parameter confirmed that income inequality in one province systematically influenced contiguous territories. Decomposing the marginal impacts revealed that local educational expenditures directly compressed internal income inequality. Conversely, health allocations exhibited a positive direct effect on the Gini ratio. Furthermore, localized economic expenditures generated negative spatial spillovers that significantly reduced income disparities across neighboring provinces.

Originality/Value – Policymakers must transition from isolated fiscal planning toward coordinated interregional public investments to leverage positive agglomeration externalities. Physical infrastructure expansion requires harmonization with targeted social protection frameworks. Future research should integrate intra-regional microdata and explore the nonlinear threshold effects of fiscal decentralization to refine territorial wealth redistribution strategies.

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References

Amri, K., Masbar, R., Nazamuddin, B. S., & Aimon, H. (2023). Does Tax Effort Moderate the Effect of Government Expenditure on Regional Economic Growth? A Dynamic Panel Data Evidence from Indonesia. Ekonomika , 102(2), 6–27. https://doi.org/10.15388/Ekon.2023.102.2.1

Anselin, L. (1988). Spatial Econometrics: Methods and Models (Vol. 4). Springer Netherlands. https://doi.org/10.1007/978-94-015-7799-1

Arbia, G., Bera, A. K., Doğan, O., & Taşpınar, S. (2020). Testing Impact Measures in Spatial Autoregressive Models. International Regional Science Review, 43(1–2), 40–75. https://doi.org/10.1177/0160017619826264

Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics. Cambridge University Press. https://doi.org/10.1017/CBO9780511811241

Celikay, F., & Sengur, M. (2016). Education expenditures and income distribution: an empirical analysis on European countries. Humanomics, 32(3), 248–257. https://doi.org/10.1108/H-01-2016-0005

Cortés, Y. (2021). Spatial accessibility to local public services in an unequal place: an analysis from patterns of residential segregation in the metropolitan area of santiago, chile. Sustainability (Switzerland), 13(2), 1–20. https://doi.org/10.3390/su13020442

da Costa, G. P. C. L., & Gartner, I. R. (2017). The effect of allocation function in budgeting to reduce income inequality in Brazil: An analysis of spending on education and health from 1995 to 2012. Revista de Administracao Publica, 51(2), 264–293. https://doi.org/10.1590/0034-7612155194

De Siano, R., & D’Uva, M. (2017). Fiscal decentralization and spillover effects of local government public spending: the case of Italy. Regional Studies, 51(10), 1507–1517. https://doi.org/10.1080/00343404.2016.1208814

Elhorst, J. P. (2014). Spatial Econometrics. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-40340-8

Getis, A., & Aldstadt, J. (2004). Constructing the Spatial Weights Matrix Using a Local Statistic. Geographical Analysis, 36(2), 90–104. https://doi.org/10.1111/j.1538-4632.2004.tb01127.x

Giangregorio, L. (2024). Welfare type and income inequality: an income source decomposition including in-kind benefits and cash-transfers entitlement. International Tax and Public Finance, 31(2), 367–403. https://doi.org/10.1007/s10797-022-09772-8

Hakim, D. R., & Rosini, I. (2022). Regional Income Inequality in Indonesia: The Role of Public and Private Investment. Jurnal Ekonomi Malaysia, 56(3), 87–101. https://doi.org/10.17576/JEM-2022-5603-05

Halleck Vega, S., & Elhorst, J. P. (2015). THE SLX MODEL. Journal of Regional Science, 55(3), 339–363. https://doi.org/10.1111/jors.12188

Hamza, S. M., & Cochrane, L. (2026). Conditional cash transfers and educational inequality in Pakistan. Discover Education, 5(1). https://doi.org/10.1007/s44217-026-01190-w

Han, S. (2022). Inequality, public choice, and the welfare state. Asian Journal of Political Science, 30(2), 119–139. https://doi.org/10.1080/02185377.2022.2063147

Jiang, Y., & Yin, Y. (2026). Exploring the Impacts of Education Inequality on Income Inequality Among American States. Review of Development Economics, 30(1), 354–372. https://doi.org/10.1111/rode.70008

Kerimov, P., & Shapoval, Y. (2024). RELATIONSHIP BETWEEN INCOME INEQUALITY, SOCIAL TRANSFERS, POVERTY, AND EMPLOYMENT IN UKRAINE. Public and Municipal Finance, 13(2), 155–167. https://doi.org/10.21511/pmf.13(2).2024.13

Khan, J., Zheng, J., Ahmad, M., & Khan, Z. A. (2026). Agglomeration economies and inequality: theory and evidence from provincial China. Journal of Chinese Economic and Business Studies, 24(2), 317–340. https://doi.org/10.1080/14765284.2025.2538328

Kitaura, K., & Miyazawa, K. (2021). Inequality and conditionality in cash transfers: Demographic transition and economic development. Economic Modelling, 94, 276–287. https://doi.org/10.1016/j.econmod.2020.10.008

Kumar, V., Ravindran, R., & Sofi, A. A. (2025). Spatial Dynamics of Regional Inequality and Fiscal Policy in India: 1991–2023. Networks and Spatial Economics. https://doi.org/10.1007/s11067-025-09711-0

Lee, L.-F. (2004). Asymptotic Distributions of Quasi-Maximum Likelihood Estimators for Spatial Autoregressive Models. Econometrica, 72(6), 1899–1925. https://doi.org/10.1111/j.1468-0262.2004.00558.x

LeSage, J. P., & Pace, R. K. (2010). The Biggest Myth in Spatial Econometrics. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1725503

LeSage, J., & Pace, R. K. (2009). Introduction to Spatial Econometrics. Chapman and Hall/CRC. https://doi.org/10.1201/9781420064254

Li, H., & Haynes, K. E. (2011). Economic structure and regional disparity in China: Beyond the Kuznets transition. International Regional Science Review, 34(2), 157–190. https://doi.org/10.1177/0160017610386480

Light, C., Nwaobia, G. E., & Nwobia, L. I. (2024). Effects of Conditional and Unconditional Cash Transfers on Poverty Reduction, Education, and Health Outcomes in Sub-Saharan Africa—A PRISMA Approach. Journal of Poverty. https://doi.org/10.1080/10875549.2024.2426807

Luo, S., & Fu, Q. (2020). Spatial effects of traffic infrastructure on income disparity. Journal of Coastal Research, 104(sp1), 705–710. https://doi.org/10.2112/JCR-SI104-122.1

Mbewe, G., Zhao, Y., & Tang, C. (2025). Inflation and income inequality: does human capital development matter? SN Business and Economics, 5(9). https://doi.org/10.1007/s43546-025-00900-0

Medeiros, V., Saulo Marques Ribeiro, R., & Vasconscelos Maia do Amaral, P. (2022). Infrastructure and income inequality: An application to the Brazilian case using hierarchical spatial autoregressive models. Journal of Regional Science, 62(5), 1467–1486. https://doi.org/10.1111/jors.12611

Morton, G. D. (2019). The power of lump sums: Using maternity payment schedules to reduce the gender asset gap in households reached by Brazil’s Bolsa Família conditional cash transfer. World Development, 113, 352–367. https://doi.org/10.1016/j.worlddev.2018.08.012

Mutl, J., & Pfaffermayr, M. (2011). The Hausman test in a Cliff and Ord panel model. The Econometrics Journal, 14(1), 48–76. https://doi.org/10.1111/j.1368-423X.2010.00325.x

Nazareno, L., & de Castro Galvao, J. (2023). The Impact of Conditional Cash Transfers on Poverty, Inequality, and Employment During COVID-19: A Case Study from Brazil. Population Research and Policy Review, 42(2). https://doi.org/10.1007/s11113-023-09749-3

Neier, T. (2023). The green divide: A spatial analysis of segregation-based environmental inequality in Vienna. Ecological Economics, 213, 107949. https://doi.org/10.1016/j.ecolecon.2023.107949

Ord, J. K., & Getis, A. (1995). Local Spatial Autocorrelation Statistics: Distributional Issues and an Application. Geographical Analysis, 27(4), 286–306. https://doi.org/10.1111/j.1538-4632.1995.tb00912.x

Ou, L., Wang, Z., Lyu, Q., & Zheng, X. (2026). Rural roads in narrowing regional income inequality: A quasi-natural experiment from China. Transport Policy, 182. https://doi.org/10.1016/j.tranpol.2026.104109

Quito, B., del Río-Rama, M. D. L. C., Álvarez-García, J., & Correa-Quezada, R. (2022). Impact factors and space-time characteristics of income inequality in a global sample. Sustainable Development, 30(6), 1850–1868. https://doi.org/10.1002/sd.2352

Rahman, A., Nasution, I. G. S., Sari, R. L., Lubis, I., & Pratomo, W. A. (2024). Spatial Analysis of Income Inequality: The Case of Sumatra Island, Indonesia. Jurnal Ekonomi Malaysia, 58(3). https://doi.org/10.17576/JEM-2024-5803-3

Runge, M. (2023). Estimating Intra-Regional Inequality with an Application to German Spatial Planning Regions. Journal of Official Statistics, 39(2), 203–228. https://doi.org/10.2478/jos-2023-0010

Stampini, M., Medellín, N., & Ibarrarán, P. (2025). Cash transfers, poverty and inequality in Latin America and the Caribbean. Oxford Open Economics, 4, i481–i509. https://doi.org/10.1093/ooec/odae033

Sujarwoto, S., & Tampubolon, G. (2016). Spatial inequality and the Internet divide in Indonesia 2010–2012. Telecommunications Policy, 40(7), 602–616. https://doi.org/10.1016/j.telpol.2015.08.008

Sun, W., Fu, Y., & Zheng, S. (2017). LOCAL PUBLIC SERVICE PROVISION AND SPATIAL INEQUALITY IN CHINESE CITIES: THE ROLE OF RESIDENTIAL INCOME SORTING AND LAND-USE CONDITIONS. Journal of Regional Science, 57(4), 547–567. https://doi.org/10.1111/jors.12307

Sylwester, K. (2002). Can education expenditures reduce income inequality? Economics of Education Review, 21(1), 43–52. https://doi.org/10.1016/S0272-7757(00)00038-8

Trabelsi, S. (2019). The governance threshold effect on the relationship between public education financing and income inequality. Economics Bulletin, 39(2), 1057–1075. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065821616&partnerID=40&md5=0f5984182871fe5aafe00066d7fd3850

Ullah, A., Kui, Z., Ullah, S., Pinglu, C., & Khan, S. (2021). Sustainable utilization of financial and institutional resources in reducing income inequality and poverty. Sustainability (Switzerland), 13(3), 1–25. https://doi.org/10.3390/su13031038

Varlitya, C. R., Masbar, R., Jamal, A., & Nasir, M. (2023). DO REGIONAL MACROECONOMIC VARIABLES INFLUENCE THE INCOME INEQUALITY IN INDONESIA? Ikonomicheski Izsledvania, 32(1), 180–199. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147314274&partnerID=40&md5=e7fc53971d0e1afe35c24050883f150b

Wooldridge, J. M. (2016). Introductory econometrics a modern approach. South-Western cengage learning.

Xiong, X., He, W., & Li, L. (2025). Digital economy, basic public services, and regional income gap. Journal of Social and Economic Development. https://doi.org/10.1007/s40847-025-00471-8

Yin, F., Qian, Y., Zeng, J., & Wei, X. (2026). Does Road Infrastructure Close or Widen the Urban–Rural Divide? Evidence from China’s Lanxi Urban Agglomeration. Land, 15(3). https://doi.org/10.3390/land15030408

Yuan, H., Song, J., Feng, Z., Nie, R., & Gao, J. (2024). Influence of capital allocation on interregional inequality of public services: differentiated evidence of investment by the government and market in China. Regional Studies, 58(11), 2038–2054. https://doi.org/10.1080/00343404.2024.2316838