The random selection method is revolutionary for investigating sensitive issues, and its application to tax evasion in Afghanistan is still blank. Based on the random selection method of Greenberg’s improved model, this paper investigates the tax evasion rate and tax evasion characteristics of enterprises in Kabul City and conducts statistical analysis and statistical tests on 1591 questionnaires recovered. The results show that the subjective tax evasion ratio of enterprises in Kabul city is lower than the expected ratio of intuitive feeling, but it is still quite serious; the tax evasion phenomenon and related institutional characteristics of enterprises in Kabul city are statistically significant. According to the conclusions of the investigation and research, the government should gradually reduce the tax burden of enterprises, further simplify the tax system, encourage the development of the tax agency industry, increase the intensity of tax inspection, and create a tax environment for honest taxpayers.
Cite this paper
Tawheed, Q. , Wang, C. , Rafiqee, N. , Qaderi, K. B. , Sharifi, M. S. and Halimy, M. S. (2022). Investigation on Corporate Tax Evasion Based on Random Selection Method—Taking Kabul City as an Example. Open Access Library Journal, 9, e9359. doi: http://dx.doi.org/10.4236/oalib.1109359.
Bizhan, N. (2019) Identity, Norms, Narratives, and State Bureaucracy: Evidence from Tax Administration in Afghanistan. Commission on State Fragility, Growth and Development.
Ay, M., Humta, H. and Ghafourzay, H. (2021) Examining the Effect of Tax Under-standing and Tax Awareness on Taxpayer Compliance in Kabul-Afghanistan. üçüncü Sektör Sosyal Ekonomi Dergisi, 56, 148-162.
Sahebe, A. (2020) New Tax Regime Raises Government Revenues: Afghanistan Gets Tough on Tax Evasion. Journal of Emerging Technologies and Innovative Research, 7, 134-145.
Sahebe, A. (2020) The Tax Evasion Is a Serious Crime, and It Comes with Serious Consequences: A Study Based on Afghanistan. International Journal of Creative Research Thoughts, 8, 2345-2358.
Isar, S. (2020) Taxation, the Prerequisite of State-Building: An Overview of Tax System in Afghanistan. Policy Note, Afghanistan Research and Evaluation Unit, Kabul.
Callen, M. and Long, J.D. (2015) Institutional Corruption and Election Fraud: Evidence from a Field Experiment in Afghanistan. American Economic Review, 105, 354-381. https://doi.org/10.1257/aer.20120427
Latif, L.A. (2019) The Tax Collection Capacity of Afghanistan: An Answer in the Light of Rampant Tax Evasion Practices. Kardan Journal of Law, 1, 144-169.
https://doi.org/10.31841/KJL.2021.8
Warner, S.L. (1965) Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias. Journal of the American Statistical Association, 60, 63-69.
https://doi.org/10.1080/01621459.1965.10480775
Horvitz, D.G., Shah, B.V. and Simmons, W.R. (1967) The Unrelated Question Randomized Response Model. Social Statistics Section, Proceedings of the American Statistical Association, 65-72.
Breslow, N.E., Lumley, T., Ballantyne, C.M., Chambless, L.E. and Kulich, M. (2009) Improved Horvitz—Thompson Estimation of Model Parameters from Two-Phase Stratified Samples: Applications in Epidemiology. Statistics in Biosciences, 1, 32-49.
https://doi.org/10.1007/s12561-009-9001-6
Aitken, S.S. and Bonneville, L., (1980) A General Taxpayer Opinion Survey. Prepared for the Office of Planning and Research, Internal Revenue Service. CSR, Incorporated, Washington.
Korndörfer, M., Krumpal, I. and Schmukle, S.C. (2014) Measuring and Explaining Tax Evasion: Improving Self-Reports Using the Crosswise Model. Journal of Economic Psychology, 45, 18-32. https://doi.org/10.1016/j.joep.2014.08.001
Houston, J. and Tran, A. (2003) A Survey of Tax Evasion Using the Randomized Response. In: Lymer, A. and Salter, D., Eds., Contemporary Issues in Taxation Research, Routledge, London, 264 p.
Houston, J. and Tran, A. (2001) A Survey of Tax Evasion Using the Randomized Response Technique. Advances in Taxation, Vol. 13, Emerald Group Publishing Limited, Bingley.