Effect of Tax Literacy on Digital Income Tax Compliance among E-Commerce Traders in Nairobi, Kenya
DOI:
https://doi.org/10.70619/vol5iss1pp12-21Keywords:
E-commerce Traders, Tax Literacy, Digital Income Tax ComplianceAbstract
Purpose: The global digital economy has created a disruptive market where goods and services are exchanged online without requiring a physical presence at the point of sale. This poses a challenge for many governments worldwide in terms of collecting appropriate tax revenues from these digital platforms. The purpose of this study was to determine the effect of tax literacy on digital income tax compliance among e-commerce traders in Nairobi, Kenya. The theory that guided this study was the unified theory of acceptance and use of technology.
Methods: Explanatory research design was used in this study. The target population was 130 e-commerce traders in Nairobi, Kenya and a census survey was applied. The survey had 110 responses, which thereby 84.6% response rate. Questionnaires were used to collect primary data and analysis included both descriptive and inferential statistics. Null hypothesis was tested at 95% confidence level, and consequently, a significance level of 0.05 using the multiple regression analysis.
Results: The findings reveal that tax literacy has a positive and significant effect on digital income tax compliance among e-commerce traders in Nairobi, Kenya (β=0.206, p-value=0.004).
Conclusion: The Kenya Revenue Authority (KRA) should implement comprehensive education programs to increase tax literacy among e-commerce traders. These programs could focus on simplifying complex tax laws, providing practical guidance on compliance, and leveraging digital platforms for easy access to information. Future studies may examine the impact of psychological factors, such as taxpayer morale, on digital income tax compliance.
References
Chaffey, D., Hemphill, T., & Edmundson-Bird, D. (2019). Digital business and e-commerce management. Pearson UK.
Creswell, J. (2003). Research design: Qualitative, Quantitative, and Mixed Methods Approaches. 3rd Ed SAGE Publication Los Angeles.
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. London: University of Nebraska- Lincoln.
Cvrlje, D. (2019). “Tax Literacy as an Instrument of Combating and Overcoming Tax System Complexity, Low Tax Morale and Tax Non-Compliance”, The Macrotheme Review, 4(3), pp. 156-167.
Gupta, M., & Newberry, K. (2021). The Role of Information and Communication Technology in Tax Administration and Compliance. Journal of Digital Taxation, 45(3), 123-137.
Joulfaian, W. Z. (2020). Machiavellianism, social norms, and taxpayer compliance. Business Ethics
Kassa, (2021). Dimensionality Reduction Using Factor Analysis Author Downloaded from Griffith Research Online A Dissertation Submitted in Fulfillment of the Master of Philosophy School of Microelectronics Engineering.
Kassa, A., & Gray, S. J. (2021). The rise of the digital economy: Rethinking the taxation of multinational enterprises. Journal of International Business Studies, 50(9), 1656- 1667.
KRA. (2023). Annual Revenue Compliance FY 2020/2021. Nairobi: Kenya Revenue Authority.
Lind, James. (2019). Tax Morale and Tax Compliance from the Firm's Perspective. Wiley-Blackwell: Kyklos. 65. 10.1111/j.1467-6435.2011.00524.
Musimenta, 2020), Trust, conflict, and cooperation: A meta-analysis. Psychological Bulletin, 139(5), 1090–1112. https://doi.org/10.1037/ a0030939
OECD (2019), Model Tax Convention on Income and Capital 2017 (Full Version), OECD Publishing, Paris, https://doi.org/10.1787/g2g972ee-en.
OECD. (2019). G20/OECD INFE Report on Adult Financial Literacy in G20 Countries, http://www. oecd.org/daf/fin/financial-education/G20-OECD-INFE-report-adult-financial-literacy-inG20-countries.pdf, (16.02.2019)
Picciotto, Sol, and Valpy FitzGerald, (2020). Digitalization and Tax Justice in the Global Economy: Theory, Policy, and Practice. Routledge.
Raja, Y. S. (2021). Call for a new analytical model for law and development. Law and development review, 8(1), 1-67
Sebele-M & C, (2019). Response rates and responsiveness for surveys, standards, and the Journal. American Journal of Pharmaceutical Education, 72(2), 43.
Venkatesh, (2016)., M. A., Jun-Hwa, C., T. Ramayah, Hiram Ting, Francis, C., & Tat Huei, C. (2019). Moderation analysis: Issues and guidelines. Journal of Applied Structural Equation Modeling, 3(1), 2590–4221.
Waithaka, N., & Nekesa, M. (2021). The Level of Deepening and Classification of Cryptocurrency Transactions and Taxation in Kenya. African Tax and Customs Review, 4(1), 23-23.
Witono D., & Fichera, D. (2019). Tax evasion and tax morale: A social network analysis. European Journal of Political Economy, 65(June), 101922
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