IDEAS home Printed from https://ideas.repec.org/a/wsi/acsxxx/v22y2019i02ns0219525919500036.html
   My bibliography  Save this article

Study On Computational Experiments Of C2c Tax Compliance Based On Information Of Cybermediaries

Author

Listed:
  • FENG XIONG

    (School of Business Administration, Zhongnan University of Economics and Law Nanhu Road, Wuhan 430073, P. R. China)

  • SHAOJIE XIANG

    (School of Business Administration, Zhongnan University of Economics and Law Nanhu Road, Wuhan 430073, P. R. China)

  • PENG JIN

    (#x2020;Business Department, Ningbo University, Fenghua Road, Ningbo 315211, P. R. China)

Abstract

The impact of cybermediaries’ information on Consumer to Consumer (C2C) tax compliance is investigated by using a computational experiment approach and three conclusions are drawn. First, cybermediaries’ information assists tax authorities in selecting audit objects and discovering unregistered taxpayers, and the second signaling role is the main reason for the improvement of the C2C tax compliance rate in the case of low audit probability. Second, the signaling role of cybermediaries’ information is quite limited if the audit probability is low; the increase of the audit probability can directly improve the C2C tax compliance rate as well as indirectly by enhancing the signaling role of cybermediaries’ information; in addition, if the proportion of honest taxpayers is lower than a certain threshold, the lower the proportion is, the lower the signaling role is, ceteris paribus. Finally, the signaling role of cybermediaries’ information on the selection of audit objects rises with the increase of the correlation degree between cybermediaries’ information and taxable income of taxpayers, and a critical value of the correlation degree exists, below which the signaling role of cybermediaries’ information is negative. We also discuss how to enhance the signaling role of cybermediaries’ information to improve the C2C tax compliance rate.

Suggested Citation

  • Feng Xiong & Shaojie Xiang & Peng Jin, 2019. "Study On Computational Experiments Of C2c Tax Compliance Based On Information Of Cybermediaries," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 22(02), pages 1-29, March.
    • Handle: RePEc:wsi:acsxxx:v:22:y:2019:i:02:n:s0219525919500036
    DOI: 10.1142/S0219525919500036
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219525919500036
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219525919500036?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jonathan S. Feinstein, 1991. "An Econometric Analysis of Income Tax Evasion and its Detection," RAND Journal of Economics, The RAND Corporation, vol. 22(1), pages 14-35, Spring.
    2. Reinganum, Jennifer F. & Wilde, Louis L., 1985. "Income tax compliance in a principal-agent framework," Journal of Public Economics, Elsevier, vol. 26(1), pages 1-18, February.
    3. Graetz, Michael J & Reinganum, Jennifer F & Wilde, Louis L, 1986. "The Tax Compliance Game: Toward an Interactive Theory of Law Enforcement," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 2(1), pages 1-32, Spring.
    4. Dhami, Sanjit & al-Nowaihi, Ali, 2007. "Why do people pay taxes? Prospect theory versus expected utility theory," Journal of Economic Behavior & Organization, Elsevier, vol. 64(1), pages 171-192, September.
    5. Nigar Hashimzade & Gareth Myles & Frank Page & Matthew Rablen, 2015. "The use of agent-based modelling to investigate tax compliance," Economics of Governance, Springer, vol. 16(2), pages 143-164, May.
    6. Reinganum, Jennifer F & Wilde, Louis L, 1986. "Equilibrium Verification and Reporting Policies in a Model of Tax Compliance," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(3), pages 739-760, October.
    7. Korobow, Adam & Johnson, Chris & Axtell, Robert, 2007. "An Agent–Based Model of Tax Compliance With Social Networks," National Tax Journal, National Tax Association;National Tax Journal, vol. 60(3), pages 589-610, September.
    8. Sascha Hokamp & Michael Pickhardt, 2010. "Income Tax Evasion in a Society of Heterogeneous Agents - Evidence from an Agent-based Model," International Economic Journal, Taylor & Francis Journals, vol. 24(4), pages 541-553.
    9. Youngse Kim, 2005. "Audit Misperception, Tax Compliance, and Optimal Uncertainty," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 7(3), pages 521-541, August.
    10. Yitzhaki, Shlomo, 1974. "Income tax evasion: A theoretical analysis," Journal of Public Economics, Elsevier, vol. 3(2), pages 201-202, May.
    11. Gemmell, Norman & Ratto, Marisa, 2012. "Behavioral Responses to Taxpayer Audits: Evidence From Random Taxpayer Inquiries," National Tax Journal, National Tax Association;National Tax Journal, vol. 65(1), pages 33-57, March.
    12. Toni Llacer & Francisco J. Miguel & José A. Noguera & Eduardo Tapia, 2013. "An Agent-Based Model Of Tax Compliance: An Application To The Spanish Case," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 16(04n05), pages 1-33.
    13. Arthur Snow & Ronald S. Warren, 2005. "Ambiguity about Audit Probability, Tax Compliance, and Taxpayer Welfare," Economic Inquiry, Western Economic Association International, vol. 43(4), pages 865-871, October.
    14. James Alm & John Deskins & Michael McKee, 2009. "Do Individuals Comply on Income Not Reported by Their Employer?," Public Finance Review, , vol. 37(2), pages 120-141, March.
    15. Andrei, Amanda L. & Comer, Kevin & Koehler, Matthew, 2014. "An agent-based model of network effects on tax compliance and evasion," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 119-133.
    16. Allingham, Michael G. & Sandmo, Agnar, 1972. "Income tax evasion: a theoretical analysis," Journal of Public Economics, Elsevier, vol. 1(3-4), pages 323-338, November.
    17. repec:dau:papers:123456789/11056 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hashimzade, Nigar & Myles, Gareth D. & Rablen, Matthew D., 2016. "Predictive analytics and the targeting of audits," Journal of Economic Behavior & Organization, Elsevier, vol. 124(C), pages 130-145.
    2. James Alm, 2019. "What Motivates Tax Compliance?," Journal of Economic Surveys, Wiley Blackwell, vol. 33(2), pages 353-388, April.
    3. Pickhardt, Michael & Prinz, Aloys, 2014. "Behavioral dynamics of tax evasion – A survey," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 1-19.
    4. Amedeo Piolatto & Matthew D. Rablen, 2017. "Prospect theory and tax evasion: a reconsideration of the Yitzhaki puzzle," Theory and Decision, Springer, vol. 82(4), pages 543-565, April.
    5. Nigar Hashimzade & Gareth Myles, 2017. "Risk-based Audits in a Behavioral Model," Public Finance Review, , vol. 45(1), pages 140-165, January.
    6. Cécile Bazart, 2002. "Les comportements de fraude fiscale. Le face à face contribuables — administration fiscale," Revue Française d'Économie, Programme National Persée, vol. 16(4), pages 171-212.
    7. Slemrod, Joel & Yitzhaki, Shlomo, 2002. "Tax avoidance, evasion, and administration," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 3, chapter 22, pages 1423-1470, Elsevier.
    8. Nigar Hashimzade & Gareth Myles & Frank Page & Matthew Rablen, 2015. "The use of agent-based modelling to investigate tax compliance," Economics of Governance, Springer, vol. 16(2), pages 143-164, May.
    9. Duccio Gamannossi degl’Innocenti & Matthew D. Rablen, 2017. "Tax avoidance and optimal income tax enforcement," IFS Working Papers W17/08, Institute for Fiscal Studies.
    10. Sagit Leviner, 2008. "An overview: A new era of tax enforcement – from “big stick” to responsive regulation," Regulation & Governance, John Wiley & Sons, vol. 2(3), pages 360-380, September.
    11. Dhami, Sanjit & Al-Nowaihi, Ali, 2010. "Optimal taxation in the presence of tax evasion: Expected utility versus prospect theory," Journal of Economic Behavior & Organization, Elsevier, vol. 75(2), pages 313-337, August.
    12. Meng-Yu Liang & C.C. Yang, 2007. "On the Budget-Constrained IRS: Equilibrium and Equilibrium and efficiency," IEAS Working Paper : academic research 07-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    13. Kasper, Matthias & Alm, James, 2022. "Audits, audit effectiveness, and post-audit tax compliance," Journal of Economic Behavior & Organization, Elsevier, vol. 195(C), pages 87-102.
    14. Amedeo Piolatto & Matthew D. Rablen, 2017. "Prospect theory and tax evasion: a reconsideration of the Yitzhaki puzzle," Theory and Decision, Springer, vol. 82(4), pages 543-565, April.
    15. Semjén, András, 2017. "Az adózói magatartás különféle magyarázatai [Various explanations for tax compliance]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 140-184.
    16. Mukhtar Ali & H. Cecil & James Knoblett, 2001. "The effects of tax rates and enforcement policies on taxpayer compliance: A study of self-employed taxpayers," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 29(2), pages 186-202, June.
    17. Vitaly Pruzhansky, 2004. "Honesty in a Signaling Model of Tax Evasion," Tinbergen Institute Discussion Papers 04-022/1, Tinbergen Institute.
    18. Matthew D. Rablen, 2014. "Audit Probability versus Effectiveness: The Beckerian Approach Revisited," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 16(2), pages 322-342, April.
    19. Philipp Meyer-Brauns, 2014. "Optimal Auditing with Heterogeneous Audit Perceptions," Working Papers tax-mpg-rps-2014-06, Max Planck Institute for Tax Law and Public Finance.
    20. V.A. Molodykh, 2021. "Impact of Short-Term Exogenous Shocks on Taxpayer Behavior and Tax Evasion," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 241-268.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:acsxxx:v:22:y:2019:i:02:n:s0219525919500036. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/acs/acs.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.