{"title":"增值税在海湾合作委员会-失踪的贸易欺诈","authors":"R. T. Ainsworth, Musaad Alwohaibi","doi":"10.2139/SSRN.2820091","DOIUrl":null,"url":null,"abstract":"All VATs are susceptible to missing trader (MT) fraud. VATs adopted in an economic community are particularly more susceptible. The EU, for example, loses in excess of €100b annually to this fraud. Given the anticipated adoption of a European-style credit-invoice VAT in the GCC by January 1, 2018, this paper offers a technology-based solution involving the real-time tracking of taxable transactions with centrally collected (securely encrypted) data flows that are risk-analyzed by artificial intelligence (AI).","PeriodicalId":162065,"journal":{"name":"LSN: Law & Economics: Private Law (Topic)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"VAT in the GCC - Missing Trader Frauds\",\"authors\":\"R. T. Ainsworth, Musaad Alwohaibi\",\"doi\":\"10.2139/SSRN.2820091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"All VATs are susceptible to missing trader (MT) fraud. VATs adopted in an economic community are particularly more susceptible. The EU, for example, loses in excess of €100b annually to this fraud. Given the anticipated adoption of a European-style credit-invoice VAT in the GCC by January 1, 2018, this paper offers a technology-based solution involving the real-time tracking of taxable transactions with centrally collected (securely encrypted) data flows that are risk-analyzed by artificial intelligence (AI).\",\"PeriodicalId\":162065,\"journal\":{\"name\":\"LSN: Law & Economics: Private Law (Topic)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"LSN: Law & Economics: Private Law (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/SSRN.2820091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"LSN: Law & Economics: Private Law (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/SSRN.2820091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
All VATs are susceptible to missing trader (MT) fraud. VATs adopted in an economic community are particularly more susceptible. The EU, for example, loses in excess of €100b annually to this fraud. Given the anticipated adoption of a European-style credit-invoice VAT in the GCC by January 1, 2018, this paper offers a technology-based solution involving the real-time tracking of taxable transactions with centrally collected (securely encrypted) data flows that are risk-analyzed by artificial intelligence (AI).