The Influence of VAT Variation on the Damages Resulting from Fraud in the Romanian Economy

1. Achim, M.V., Borlea N.S., (2019), Criminalitatea economico-fnanciară (Economic and financial crime), Economica Publishing House, BucureştiSearch in Google Scholar

2. Achim, M.V., Borlea N.S., Găban L., Cuceu, I., (2018), Rethinking the shadow economy in terms of happiness: evidence for the European Union member states, Technological and Economic Development of Economy, 24(1), pp. 199-228Search in Google Scholar

3. Aizenman, J., Jinjarak, Y., (2008), The collection efficiency of the Value Added Tax: Theory and international evidence, Journal of International Trade and Economic Development, 17(3), pp. 391-410Search in Google Scholar

4. APIA grants – useful information, (2020), Agency for Payments and Intervention in Agriculture (APIA), funding to support farmshttps://finantariagricole.ro/stire/subventiile-apia-informatii-utile/, accesat la data de 02.07.2020Search in Google Scholar

5. Badawi, M.I., (2008), Motives and consequences of fraudulent financial reporting, Presented at “The 17^th Annual Convention of the Global Awareness Society International”, May, San Francisco, CA, USASearch in Google Scholar

6. Barrell, R., Weale, M., (2009), The economics of a reduction in VAT, Fiscal Studies, 30(1), pp. 17-3010.1111/j.1475-5890.2009.00087.xSearch in Google Scholar

7. Bierstaker, J.L., Brody, R., Pacini, C., (2006), Accountants’ perceptions regarding fraud detection and prevention methods, Managerial Auditing Journal, Vol. 21, No. 5, pp. 520-535Search in Google Scholar

8. Borlea, N.S., Achim, M.V., Miron, G.M., (2017), Corruption, Shadow Economy and Economic Growth: An Empirical Survey Across the European Union Countries, Studia Universitatis „Vasile Goldis” Arad – Economics Series, 27(2), pp. 19-32Search in Google Scholar

9. Brockett, P.L., Derrig, R.A., Golden, L.L., Alpert, M., (2002), Fraud Classification Using Principal Component Analysis of RIDIT’s, The Journal of Risk and Insurance, Vol. 69, No. 3, pp. 341-371Search in Google Scholar

10. Carpenter, T., (2007), Audit Team Brainstorming, Fraud Risk Identification, and Fraud Risk Assessment: Implications of SAS, No. 99, The Accounting Review, Vol. 82, No. 5, pp. 1119-114010.2308/accr.2007.82.5.1119Search in Google Scholar

11. Cohen, J., Ding, Y., Lesage, C., Stolowy, H., (2010), Corporate Fraud and Manager’s Behavior: Evidence from the Press, Journal of Business Ethics, 95, pp. 271-315Search in Google Scholar

12. Dragoş, S.L., Mare, C., Dragoş, C.M., (2019), Institutional drivers of life insurance consumption: a dynamic panel approach for European countries, The Geneva Papers on Risk and Insurance – Issues and Practice, 44 (1), pp. 36-66, https://doi.org/10.1057/s41288-018-0106-310.1057/s41288-018-0106-3Search in Google Scholar

13. Drukker, D.M., (2003), Testing for serial correlation in linear panel-data models, The Stata Journal, 3(2), pp. 168-177Search in Google Scholar

14. European Commission, (2019), Questions and Answers: Value Added Tax (VAT), Available at https://ec.europa.eu/taxation_customs/sites/taxation/files/vatgap-full-report-2019_en.pdf, accessed on June 2 2020Search in Google Scholar

15. European Commission, (2019), VAT Gap - EU Countries Lost Euros 137 Billion in VAT Revenues in 2017, Targeted News Service; Washington, D.C.Search in Google Scholar

16. Gebauer, A., Nam, C.W., Parsche, R., (2007), Can Reform Models of Value Added Taxation Stop the VAT Evasion and Revenue Shortfalls in the EU?, Journal of Economic Policy Reform, 10(1), pp. 1–13Search in Google Scholar

17. Gradeva, K., (2014), VAT fraud in intra-EU trade. Goethe University, 33Search in Google Scholar

18. Hayes, R., Dassen, R., Schilder, A., Wallage, P., (2005), Principles of Auditing. An Introduction to International Standards of Auditing, 2^nd edition, Ed. Pearson EducationSearch in Google Scholar

19. Hoinaru, R., Buda D., Borlea, N.S., Videan, V.L., Achim, M.V., (2020), The Impact of Corruption and Shadow Economy on the Economic and Sustainable Development. Do They “Sand the Wheels” or “Grease the Wheels?, Sustainability 12(2), 481Search in Google Scholar

20. Institute for Advanced Studies, (2018), Study and Reports on the VAT Gap in the EU-28 Member States, Warsaw, September 11, 2018, https://ec.europa.eu/taxation_customs/sites/taxation/files/vat-gap-full-report2019.pdf, accesat la data de 26.04.2020Search in Google Scholar

21. Institute of Internal Auditors, the American Institute of Certified Public Accountants and the Association of Certified Fraud Examiners (2008), Managing the Business Risk of Fraud – A Practical Guide. http://www.ifaiaf.be/v1/frontEnd/libraryIfa/index.php?action=detail&id=29, accesat la data de 02.07.2020Search in Google Scholar

22. Kawano, L., Slemrod, J., (2016), How Do Corporate Tax Bases Change When Corporate Tax Rates Change? With Implications for the Tax Rate Elasticity of Corporate Tax Revenues, International Tax and Public Finance, 23(3), pp. 401-433Search in Google Scholar

23. Kaminski, K.A., Wetzel, T.S., Guan, L., (2004), Can financial ratios detect fraudulent financial reporting?, Managerial Auditing Journal, Vol. 19, No. 1, pp. 15-28Search in Google Scholar

24. Kenessey, Z., (1987), The primary, secondary, tertiary and quaternary sectors of the economy, Review of Income and Wealth, 33(4), pp. 359-385Search in Google Scholar

25. Krambia-Kapardis, M., (2002), A fraud detection model: A must for auditors, Journal of Financial Regulation and Compliance, Vol. 10, No. 3, pp. 266-278Search in Google Scholar

26. Laffer, A., (2004), The Laffer Curve: Past, Present and Future, The Heritage FoundationSearch in Google Scholar

27. Law no. 227/2015 regarding fiscal codeSearch in Google Scholar

28. Law no. 241/2005, regarding prevention fight and combating tax evasionSearch in Google Scholar

29. Lubua, E.W., (2014), Influencing tax compliance in SMEs through the use of ICT’s, International Journal of Learning, Teaching and Educational Research, 2(1), pp. 80-90Search in Google Scholar

30. Matthews, K., (2003), VAT evasion and VAT avoidance: Is there a European Laffer curve for VAT? International Review of Applied Economics, 17(1), pp. 105-114Search in Google Scholar

31. Miri-Lavassani, K., Kumar, V., Movahedi, B., Kumar, U., (2009), Developing an identity fraud measurement model: a factor analysis approach, Journal of Financial Crime, Vol. 16, No. 4, pp. 364-386Search in Google Scholar

32. Morales, J., Gendron, Y., Guénin-Paracini, H., (2014), The construction of the risky individual and vigilant organization: A genealogy of the fraud triangle, Accounting, Organizations and Society, 39(3), pp. 170-194Search in Google Scholar

33. President‘s Administration, (2015), Strategy of National Defence for the year 2015-2019: O Românie puternică în Europa şi în lume, Bucureşti.Search in Google Scholar

34. Raczkowski, K. (2015), Measuring the tax gap in the European economy, Journal of Economics & Management, 21, pp. 58-72Search in Google Scholar

35. Singleton, T.W., Singleton, A.J., (2010), Fraud Auditing and Forensic Accounting, Fourth Edition, New Jersey, John Wiley & Sons, Inc10.1002/9781118269183Search in Google Scholar

36. Soukopova, J., Šinkyrikova, T., (2014), Standard or Implicit VAT Rate, In Spalkova, D., Matejoval, L., Proceedings of the 18^th International Conference Current Trends in Public Sector Research, Brno: Masaryk University, pp. 90-98Search in Google Scholar

37. Tørsløv, T.R., Wier, L.S., Zucman, G., (2018), The missing profits of nations, No. 24701, National Bureau of Economic Research10.3386/w24701Search in Google Scholar

38. Transilvania Business Magazine, The black cigarette market surpassed 40% in northeast in November, 08.01.2019 https://www.transilvaniabusiness.ro/2019/01/08/piata-neagra-a-tigaretelor-adepasit-40-in-nord-est-in-luna-noiembrie/, accesat la data de 26.04.202010.1055/a-0800-1235Search in Google Scholar

39. Wang, J., Zhou, J., Peng, B., (2009), Weak signal detection method based on Duffing oscillator, Kybernetes, Vol. 38, No. 10, pp. 1662-1668Search in Google Scholar

40. Wooldridge, J.M., (2002), Econometric Analysis of Cross Section and Panel Data, Cambridge, MA: MIT PressSearch in Google Scholar