The Moderating Effect of Digitalisation on the Relationship between Corruption and Domestic Resource Mobilisation: Evidence from Developing Countries

Abstract

Purpose: Domestic Resource Mobilisation (DRM) is vital for government financing of essential sectors like infrastructure, education, and healthcare, but corruption impedes revenue collection and erodes trust in government institutions. Nevertheless, digitalisation offers a promising way to combat corruption and improve DRM. This study aims to explore how digitalisation can enhance transparency and efficiency in addressing these issues by specifically investigating how digitalisation can moderate the relationship between corruption and DRM in developing nations. Methodology: Utilizing panel data of 65 developing countries from 2007 to 2019, a Panel Corrected Standard Errors (PCSE) estimator was employed. Findings: The findings indicate that corruption negatively affects DRM, while digitalisation has a positive influence. Importantly, digitalisation was found to moderate the adverse impact of corruption on DRM, albeit after a certain threshold level of digitalisation. Across regions, the net effect of this interaction varied, with some regions experiencing negative consequences. Notably, the existence of a threshold level of digitalisation above which its influence becomes more pronounced in mitigating corruption's impact on DRM revealed that the association is non-linear. Originality: This study addressed an important gap in the literature by examining how digitalisation moderates the connection between corruption and DRM in developing countries, offering nuanced insights into the feasibility of leveraging digital technologies to bolster revenue mobilisation despite corruption challenges. Implication: These results have significant implications for policymakers, highlighting the potential of digitalisation to enhance revenue mobilisation and combat corruption in developing countries, albeit with context-specific considerations.


 

References

[1] Abu Nurudeen, K. M. Z.i A. and Aziz Mukhriz Izraf Azman. 2013. Low Savings Rates in the Economic Community of West African States (Ecowas): The Role of the Political Instability-Income Interaction. South East European Journal of Economics and Business, 8(2): 53-63. DOI: https://doi.org/10.2478/jeb-2013-0010
[2] Abu, N. and Staniewski, W. M. 2022. An empirical investigation of the effect of corruption on domestic savings in Nigeria. Economic research-Ekonomska istraživanja, 35(1): 4092-4112. DOI:10.1080/1331677X.2021.2010113
[3] Addo, A. 2021. Controlling petty corruption in public administrations of developing countries through digitalization: An opportunity theory informed study of Ghana customs. The Information Society, 37(2): 99-114. DOI: https://doi.org/10.1080/01972243.2020.1870182
[4] Adeleye, B. N., S. Arogundade, and B. Mduduzi. 2023. Empirical analysis of inclusive growth, information and communication technology adoption, and institutional quality. Economies, 11(4): 124. DOI:https://doi.org/10.3390/economies11040124
[5] Adu, F., I. P. Alagidede, D.B. Osei, and M. E. Asamoah. 2023. Asymmetric effect of tax systems on poverty and inequality: Exploring the distributional impact of domestic resource mobilization systems in Ghana. Cogent Economics and Finance, 11(1): 2166211. DOI: https://doi.org/10.1080/23322039.2023.2166211
[6] Afolabi, J. A. 2023. Trade misinvoicing and domestic resource mobilization in Nigeria. International Journal of Development Issues, 22(1): 91-106. DOI: 10.1108/IJDI-09-2022-0208
[7] Ajaz, T., and Eatzaz A. 2010. The effect of corruption and governance on tax revenues. The Pakistan Development Review, 405-417. DOI: https://www.jstor.org/stable/41428665
[8] Ayenew, W. 2016. Determinants of tax revenue in Ethiopia (Johansen co-integration approach). International Journal of Business, Economics and Management, 3(6): 69-84. DOI:https://doi.org/10.18488/journal.62/2016.3.6/62.6.69.84
[9] Beck, N., and Katz, J. N. 1995. What to do (and not to do) with time-series cross-section data. American political science review, 89(3): 634-647. DOI: https://doi.org/10.2307/2082979
[10] Bellon, M., Dabla-Norris, E., Khalid, S. and Lima, F. 2022. Digitalization to improve tax compliance: Evidence from VAT e-Invoicing in Peru. Journal of Public Economics, 210: 104661. DOI:https://doi.org/10.1016/j.jpubeco.2022.104661
[11] Bhushan, A., and Yiagadeesen, S. 2010. Enhancing domestic resource mobilization for effective development: The role of donors. North-South Institute, Ottawa, Canada. Available at: http://cidpnsi.ca/wp-content/uploads/2015/03/Enhancing-Domestic-Resource-Mobilization-for-Effective-Development-DonorPaperFINALPOST.compressed.pdf
[12] Bird, R. M., and Zolt. E. M. 2008. Technology and taxation in developing countries: From hand to mouse. National Tax Journal, 61(4): 791-821. DOI: https://doi.org/10.17310/ntj.2008.4S.02
[13] Bodnár, K., and Nerlich C. 2022. The macroeconomic and fiscal impact of population ageing. No. 296. ECB Occasional Paper. SSRN: https://ssrn.com/abstract=4144357
[14] Chelliah, R. J. 1971. Trends in Taxation in Developing Countries. Staff Papers-International Monetary Fund, 254-331. Available at: https://www.jstor.org/stable/3866272
[15] Cohen, J., Cohen, P., West, S. G. and Aiken L. S. 2013. Applied multiple regression/correlation analysis for the behavioral sciences. Routledge. DOI: https://doi.org/10.4324/9780203774441
[16] Culpeper, R., and Bhushan, A. 2010. Domestic Resource Mobilization in Africa: An Overview. The North-South Institute. Available at: http://cidpnsi.ca/wp-content/uploads/2015/03/2010-Domestic-Resource-Mobilization-in-Africa-An-Overview-1.pdf
[17] Gauthier, B., and Goyette, J. 2014. Taxation and corruption: Theory and firm-level evidence from Uganda. Applied Economics, 46(23): 2755-2765. DOI: https://doi.org/10.1080/00036846.2014.909580
[18] Ghosh, S. 2017. Financial inclusion, biometric identification and mobile: unlocking the JAM trinity. International Journal of Development Issues, 16(2): 190-213. DOI: https://doi.org/10.1108/IJDI-02-2017-0012
[19] Government of India. "Wiping every tear from every eye: The JAM Trinity number solution." 2015. https://www.indiabudget.gov.in/budget2015-2016/es2014-15/echapvol1-03.pdf
[20] Gupta, S., Keen, M., Shah, A. and Verdier, G.eds. Digital Revolutions in Public Finance, (USA: International Monetary Fund, 2017). DOI: https://doi.org/10.5089/9781484315224.071
[21] Jackson, E. A. 2023. Informality as a Driving Force for Corruption in Economy: A Neoclassical Simulation. Economic Analysis Letters 2(2): 60-65. DOI: https://doi.org/10.58567/eal02020008
[22] Krolikowski, A. 2014. Can mobile-enabled payment methods reduce petty corruption in urban water provision? Water Alternatives 7(1). Available at: https://www.proquest.com/docview/1565516207
[23] Li, K., 2023. An Introspective Analysis of Inclusive Growth in Africa, With an Eminence on the Influence of Governance and Financial Development Interaction. SAGE Open, 13(2). DOI:https://doi.org/10.1177/21582440231166341
[24] Máchová, R., Volejníková, J. and Lněnička, M. 2018. Impact of e-government development on the level of corruption: Measuring the effects of related indices in time and dimensions. Review of Economic Perspectives, 18(2): 99. DOI: https://doi.org/10.2478/revecp-2018-0006
[25] Mauro, P. 1995. Corruption and growth. The quarterly journal of economics, 110(3): 681-712, DOI:https://doi.org/10.2307/2946696
[26] Ofori, I. K., Osei, D. B. and Alagidede, I.P. 2022. Inclusive growth in Sub-Saharan Africa: Exploring the interaction between ICT diffusion, and financial development. Telecommunications Policy, 46(7): 102315, DOI: https://doi.org/10.1016/j.telpol.2022.102315
[27] Osoro, N.E. 1993. Revenue productivity implications of tax reform in Tanzania. Working Papers 20, African Economic Research Consortium, Research Department, (1993), Available at: https://publication.aercafricalibrary.org/items/cd298c5c-8921-4367-8c15-a5b48065dd3f
[28] Oyinlola, M. A., Adedeji, A. A. Bolarinwa, M. O. and Olabisi. N. 2020. Governance, domestic resource mobilization, and inclusive growth in sub-Saharan Africa. Economic Analysis and Policy, 65: 68-88. DOI:https://doi.org/10.1016/j.eap.2019.11.006
[29] Pesaran, M.H. 2004. General diagnostic tests for cross section dependence in panels. Available at SSRN 572504. DOI: https://dx.doi.org/10.2139/ssrn.572504
[30] Romero-Martínez, A. M., and García-Muiña, F. E. 2021. Digitalization level, corruptive practices, and location choice in the hotel industry. Journal of Business Research, 136. DOI:https://doi.org/10.1016/j.jbusres.2021.07.032
[31] Setor, T. K., Senyo, P. K. and Addo, A. 2021. Do digital payment transactions reduce corruption? Evidence from developing countries. Telematics and informatics, 60. DOI: https://doi.org/10.1016/j.tele.2021.101577
[32] Swaleheen, us Mushfiq. 2008. Corruption and saving in a panel of countries. Journal of Macroeconomics, 30(3): 1285-1301. DOI: https://doi.org/10.1016/j.jmacro.2007.05.002
[33] Tanzi, V., and Davoodi, H. 1997. Corruption, public investment, and growth. IMF Working Papers, no139. DOI: https://doi.org/10.5089/9781451929515.001
[34] World Bank Group. World development report 2016: Digital dividends. World Bank Publications. 2016. https://www.worldbank.org/en/publication/wdr2016
Published
2023-12-20
How to Cite
JALLOH, Talatu; JACKSON, Emerson A.. The Moderating Effect of Digitalisation on the Relationship between Corruption and Domestic Resource Mobilisation: Evidence from Developing Countries. Theoretical and Practical Research in Economic Fields, [S.l.], v. 14, n. 2, p. 423 - 437, dec. 2023. ISSN 2068-7710. Available at: <https://journals.aserspublishing.eu/tpref/article/view/8226>. Date accessed: 27 dec. 2024. doi: https://doi.org/10.14505/tpref.v14.2(28).20.