AMOR

Article Details

Vol. 8 No. 1 (2026): August

​Electronic Transaction Growth and Revenue Mobilization: The IMTT Experience in Zimbabwe

https://doi.org/10.35912/amor.v8.n1.p143-154.2026

Abstract

Purpose: This study examines the impact of the IMTT on Zimbabwe’s tax base and electronic transaction growth.

Methodology: The research employed the Ordinary Least Squares (OLS) methodology complemented by DOLS, FMOLS, and canonical regression. This study uses monthly time-series data from Oct 2018 to December 2025. Pre-diagnostic tests, including unit root and cointegration tests, were conducted to eliminate spurious results from the analysis.

Results: Findings reveal that A 1% increase in the IMTT raised the total revenue by approximately 1.12%, highlighting its efficacy in domestic resource mobilization. However, the IMTT exhibits negative elasticity with respect to electronic transaction volumes (-0.186). The results further show a strong positive association between the IMTT and other tax heads, such as VAT, CIT, and PIT.

Conclusions: This study demonstrates that the IMTT is a key revenue tool in Zimbabwe, suppresses the volume of electronic transactions, and complements other tax heads such as VAT, CIT, and PIT.

Limitations: This study faced challenges in accessing complete data, necessitating the use of the cardinal spline interpolation method to account for missing observations.

Contributions: The results provide context-specific evidence for academics and revenue policymakers in Zimbabwe to design effective revenue mobilization strategies. This study clarifies the relationship between IMTT and electronic transactions by incorporating additional tax heads, including VAT, CIT, and PIT. Unlike previous studies using annual secondary data, this research employs high-frequency monthly time-series data from October 2018 to December 2025, providing a broader fiscal analysis.

Keywords

Digital Taxation Domestic Resource Mobilization Electronic Transactions Intermediate Money Transfer Tax (IMTT) Zimbabwe

How to Cite

Kanyekanye, T., & Komboni, M. M. (2026). ​Electronic Transaction Growth and Revenue Mobilization: The IMTT Experience in Zimbabwe. Annals of Management and Organization Research, 8(1), 143–154. https://doi.org/10.35912/amor.v8.n1.p143-154.2026

References

  1. Ahmad, A. H., Green, C., & Jiang, F. (2020). Mobile money, financial inclusion and development: A review with reference to African experience. Journal of Economic Surveys, 34(4), 753-792. https://doi.org/10.1111/joes.12372
  2. Anyidoho, N. A., Gallien, M., Rogan, M., & van den Boogaard, V. (2023). Mobile money taxation and informal workers: Evidence from Ghana’s E-levy. Development Policy Review, 41(5), 1-30. https://doi.org/10.1111/dpr.12704
  3. Apeti, A. E., & Edoh, E. D. (2023). Tax revenue and mobile money in developing countries. Journal of Development Economics, 161, 1-57. https://doi.org/10.1016/j.jdeveco.2022.103014
  4. Barczay, M., Hebous, S., Sawadogo, F., & Wen, J.-F. (2025). Taxing mobile money: Theory and evidence. SSRN Electronic Journal, 1-50. https://doi.org/10.2139/ssrn.5908866
  5. Breusch, T. S., & Pagan, A. R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287-1294. https://doi.org/10.2307/1911963
  6. Brikci, N. (2024). Innovative domestic financing mechanisms for health in Africa: An evidence review. Journal of Health Services Research and Policy, 29(2), 132-140. https://doi.org/10.1177/13558196231181081
  7. Dianda, I., Ouedraogo, I., & Sawadogo, H. (2024). Inclusive human development effect of financial inclusion in sub-Saharan Africa: A gender perspective. Journal of International Development, 36(3), 1896-1917. https://doi.org/10.1002/jid.3861
  8. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427-431. https://doi.org/10.1080/01621459.1979.10482531
  9. Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251-276. https://doi.org/10.2307/1913236
  10. GSMA. (2022). The Mobile Economy 2022. GSMA Intelligence. Retrieved from https://www.gsma.com/about-us/regions/europe/gsma_resources/the-mobile-economy-2022/
  11. Gujarati, D. N. (2004). Basic Econometrics. New York: McGraw-Hill.
  12. Gwaindepi, A. (2025). Taxation in the context of high informality: Conceptual challenges and evidence from Sub-Saharan Africa. Review of Development Economics, 29(2), 1228-1249. https://doi.org/10.1111/rode.13163
  13. Hansen, B. E. (2022). A modern Gauss–Markov theorem. Econometrica, 90(3), 1283-1294. https://doi.org/10.3982/ecta19255
  14. Kipo-Sunyehzi, D. D., & Asante, C. O. (2025). Electronic Tax (E-levy) policies in Africa: Evidence from Ghana. Journal of Public Affairs, 25(3). https://doi.org/10.1002/pa.70053
  15. Koi-Akrofi, J. (2022). Mobile money adoption in Africa: A literature-based analysis. Texila International Journal of Management, 8(2), 1-12. https://doi.org/10.21522/tijmg.2015.08.02.art014
  16. Kwablah, E., Amoah, A., Amoah, B., Asiama, R., & Akoto, E. (2024). Disaggregated behavioral responses to willingness-to-pay for the electronic levy in Ghana. Politics and Policy, 52(3), 597-613. https://doi.org/10.1111/polp.12606
  17. Lotto, J. (2025). Mobile money taxation and financial inclusion agenda in East Africa: Is it killing the goose that laid the golden egg?. Journal of Social and Political Sciences, 8(1), 96-117. https://doi.org/10.31014/aior.1991.08.01.548
  18. Mhlanga, D., Dunga, S. H., & Moloi, T. (2020). Financial inclusion and poverty alleviation among smallholder farmers in Zimbabwe. Eurasian Journal of Economics and Finance, 8(3), 168-182. https://doi.org/10.15604/ejef.2020.08.03.004
  19. Mpofu, F. Y. (2022). Industry 4.0 in financial services: Mobile money taxes, revenue mobilisation, financial inclusion, and the realisation of sustainable development goals (SDGs) in Africa. Sustainability, 14, 1-24. https://doi.org/10.3390/su14148667
  20. Mtengwa, B. B., Kandiero, A., & Bigirimana, S. (2021). Drivers of mobile money services development in Zimbabwe: The case of EcoCash. International Journal of E-Business Research, 17(1), 42-64. https://doi.org/10.4018/IJEBR.2021010104
  21. Munjeyi, E., & Schutte, D. (2026). A framework for enhancing inclusive taxation ecosystem in contemporary Zimbabwe. Cogent Social Sciences, 12(1), 1-16. https://doi.org/10.1080/23311886.2026.2618245
  22. Mutsonziwa, K., & Maposa, O. K. (2016). Mobile money-A catalyst for financial inclusion in developing economies: A case study of Zimbabwe using FinScope survey data. International Journal of Financial Management, 6(3), 45-56. https://doi.org/10.21863/ijfm/2016.6.3.036
  23. Ndung, N. (2019). Taxing mobile phone transactions in Africa Lessons from Kenya. Retrieved from https://www.rfilc.org/library/taxing-mobile-phone-transactions-in-africa-lessons-from-kenya/
  24. Nyoni, J., Jaravaza, T. V., Mare, M., Dandira, M., & Kandjinga, E. (2021). Policy contradictions and policy dilemma: A case of Intermediary Money Transfer Tax (IMTT) on business performance in the engineering sector in Zimbabwe. Business and Economic Research, 11(2), 76-89. https://doi.org/10.5296/ber.v11i2.18228
  25. Oordt, M. V. (2015). A summary of introductory econometrics by Wooldridge. SSRN Electronic Journal, 1-61. https://doi.org/10.2139/ssrn.3401712
  26. Park, J. Y. (1992). Canonical cointegrating regressions. Econometrica, 60(1), 119-143. https://doi.org/10.2307/2951679
  27. Pfeil, S., Murimi, L. N., Siebert, M., & Santoro, F. (2026). How Tanzania's levy on mobile money affects small businesses. Development Policy Review, 44(1). https://doi.org/10.1111/dpr.70049
  28. Phillips, P. C. B., & Hansen, B. E. (1990). Statistical inference in instrumental variables regression with I (1) processes. Review of Economic Studies, 57(1), 99–125. https://doi.org/10.2307/2297545
  29. Ramsey, J. B. (1969). Tests for specification errors in classical linear least-squares regression analysis. Journal of the Royal Statistical Society Series B: Statistical Methodology, 31(2), 350-371. https://doi.org/10.1111/j.2517-6161.1969.tb00796.x
  30. Rotondi, V., & Billari, F. C. (2022). Mobile money and school participation: Evidence from Africa. Population Research and Policy Review, 41(1), 343-362. https://doi.org/10.1007/s11113-021-09641-y
  31. Rukundo, S. (2018). Taxation of the telecommunications sector: A focus on policy issues and considerations in taxation of mobile money in Uganda. Africa Tax Research Network 2017 Congress at Antananarivo, 1-28. https://doi.org/10.2139/ssrn.3132994
  32. Saavedra, J. P. H., Villar Otálora, J. C., & Campo Robledo, J. (2022). Taxation in Colombia: Theoretical and empirical approximation of the Laffer Curve. Revista de Economia Institucional, 24(47), 117-143. https://doi.org/10.18601/01245996.v24n47.05
  33. Sandmo, A. (2005). The theory of tax evasion: A retrospective view. National Tax Journal, 58(4), 643-663. https://doi.org/10.17310/ntj.2005.4.02
  34. Sebele-Mpofu, F. Y. (2020). Governance quality and tax morale and compliance in Zimbabwe’s informal sector. Cogent Business and Management, 7(1), 1-21. https://doi.org/10.1080/23311975.2020.1794662
  35. Sebele-Mpofu, F. Y. (2023). The informal sector, the “implicit” social contract, the willingness to pay taxes and tax compliance in Zimbabwe. Accounting, Economics and Law: A Convivium, 13(3), 1-44. https://doi.org/10.1515/ael-2020-0084
  36. Takyi, P. O. (2025). The impact of electronic levy on mobile money transactions: Lessons from Ghana. Policy Studies, 46(2), 271-287. https://doi.org/10.1080/01442872.2024.2303348
  37. Tetteh, C. K., Amoah, A., Kwablah, E., Asiama, R. K., & Ahiabor, G. (2023). A test of behavioural changes to electronic levy: Evidence from mobile money transactions in a developing country. Cogent Economics and Finance, 11(1), 1-19. https://doi.org/10.1080/23322039.2023.2202963
  38. Wooldridge, J. M. (2003). Introductory Econometrics: A Modern Approach (5th ed.). Mason: Cengage Learning.
  39. Wu, J. (2024). Evaluating the veracity of the Laffer Curve in flat-income-tax economies. Highlights in Business, Economics and Management, 24, 1861-1867. https://doi.org/10.54097/hevry264
  40. Yu, S., Ibtasam, S., Brodersen, K. H., Gallusser, F., Koehler, J., Remy, N., Scott, S. L., & Clifford, K. (2015). The causes and consequences of mobile money taxation An examination of mobile money transaction taxes in sub-Saharan Africa. Retrieved from https://www.gsma.com/about-us/regions/africa/gsma_resources/the-causes-and-consequences-of-mobile-money-taxation-an-examination-of-mobile-money-transaction-taxes-in-africa/
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