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Drivers of Ghanaians’ approval of the electronic levy

Author

Listed:
  • Akua Agyeiwaa-Afrane

    (Central University)

  • Kofi A. A-O. Agyei-Henaku

    (Central University)

  • Charlotte Badu-Prah

    (Central University)

  • Francis Srofenyoh

    (Central University)

  • Ferguson K. Gidiglo

    (Central University)

  • James K. A. Amezi

    (Central University)

  • Justice G. Djokoto

    (Central University)

Abstract

The government of Ghana proposed an electronic levy (E-LEVY) in the 2022 budget and economic policy statement to increase revenue in the wake of dwindling opportunities for borrowing from the external market. Whilst existing studies found that most Ghanaians did not support the E-LEVY, the factors that explain the decision were not studied. We contribute to the literature on the E-LEVY by examining the drivers of approval of the E-LEVY in Ghana. We used data of 600 respondents and fitted it to a cloglog model selected based on a battery of tests. We found that older persons were more likely to approve of the E-LEVY than younger people. Persons affiliated with the ruling party, the NPP, were more likely to approve of the E-LEVY than persons not affiliated with the party. Level of education, gender, size of household, monthly income and marital status did not distinguish the tendency to approve of the E-LEVY. Although the ruling party-affiliated respondents were more likely to approve of the E-LEVY, the low probability requires that the government engages not only its party supporters but independents, about the need to support and pay the E-LEVY.

Suggested Citation

  • Akua Agyeiwaa-Afrane & Kofi A. A-O. Agyei-Henaku & Charlotte Badu-Prah & Francis Srofenyoh & Ferguson K. Gidiglo & James K. A. Amezi & Justice G. Djokoto, 2023. "Drivers of Ghanaians’ approval of the electronic levy," SN Business & Economics, Springer, vol. 3(1), pages 1-20, January.
    • Handle: RePEc:spr:snbeco:v:3:y:2023:i:1:d:10.1007_s43546-022-00367-3
    DOI: 10.1007/s43546-022-00367-3
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    References listed on IDEAS

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    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, October.
    2. Esmeralda Ramalho & Joaquim Ramalho & Pedro Henriques, 2010. "Fractional regression models for second stage DEA efficiency analyses," Journal of Productivity Analysis, Springer, vol. 34(3), pages 239-255, December.
    3. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    4. repec:idq:ictduk:16873 is not listed on IDEAS
    5. repec:idq:ictduk:16727 is not listed on IDEAS
    6. Tarna Silue, 2021. "E-money, Financial Inclusion and Mobile Money Tax in Sub-Saharan African Mobile Networks," CERDI Working papers hal-03281898, HAL.
    7. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
    8. Xue, Sen & Yang, Thomas Tao & Zhou, Qiankun, 2018. "Binary choice model with interactive effects," Economic Modelling, Elsevier, vol. 70(C), pages 338-350.
    9. Djokoto, Justice Gameli & Afari-Sefa, Victor, 2017. "Alternative functional forms for technology choice: Application to cocoa production technologies," Technology in Society, Elsevier, vol. 50(C), pages 110-120.
    10. Djokoto, Justice G., 2015. "Technical efficiency of organic agriculture: a quantitative review," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 117(2), pages 1-11, August.
    11. Lu, Xiao, 2020. "Discrete Choice Data with Unobserved Heterogeneity: A Conditional Binary Quantile Model," Political Analysis, Cambridge University Press, vol. 28(2), pages 147-167, April.
    12. Esmeralda A. Ramalho & Joaquim J. S. Ramalho & José M. R. Murteira, 2014. "A Generalized Goodness-of-functional Form Test for Binary and Fractional Regression Models," Manchester School, University of Manchester, vol. 82(4), pages 488-507, July.
    13. Tarna Silue, 2021. "E-money, Financial Inclusion and Mobile Money Tax in Sub-Saharan African Mobile Networks," Working Papers hal-03281898, HAL.
    14. Aimola, Akingbade U & Odhiambo, Nicholas M, 2021. "Public debt and inflation: Empirical evidence from Ghana," Working Papers 27063, University of South Africa, Department of Economics.
    15. Bandhu, Sarvesh & Lahiri, Abhinaba & Pramanik, Anup, 2020. "A characterization of status quo rules in the binary social choice model," Economics Letters, Elsevier, vol. 191(C).
    16. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    17. Pagan, Adrian & Vella, Frank, 1989. "Diagnostic Tests for Models Based on Individual Data: A Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(S), pages 29-59, Supplemen.
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    More about this item

    Keywords

    Complementary loglog; Electronic levy; Electronic tax; Ghana; Mobile money tax; Online survey;
    All these keywords.

    JEL classification:

    • H - Public Economics

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