网络主播税收流失:规模测算、形成差异与障碍因素OACHSSCD
Tax Loss from Live Streamers:Size Estimation,Causing Factors and Barrier Factors
爬取网络主播个人信息,与其他数据交叉匹配,构建3448名网络主播税收流失数据库,并采用MIMIC模型实证分析网络主播税收流失的总体规模、形成差异与障碍因素.结果显示:我国网络主播税收流失的总体规模逾60%,与商品税相比,所得税的流失情况十分严峻;税收流失形式以偷税和逃税为主,主要税种的流失方式不尽相同.其中,个人所得税流失常以隐匿收入为主,而增值税流失则以在账簿上多列支出为主;此外,税收监管力度等地区外部因素是税收流失的主要障碍因素,且网络主播等级地位越高,外部因素的障碍作用越显著.鉴于此,需明确以所得税为主的征管重心,加强新业态下对个人所得的税源管理,防范网络主播的偷税、逃税行为,因地制宜地进行税源监控和信息交换.
Crawling personal information of live streamer and cross-matching it with other da-ta,a database of 3,448 live streamer'tax evasion was constructed.The MIMIC model was em-ployed to empirically analyze the overall size,causing factors,and barriers of tax evasion.The findings reveal that the overall tax evasion rate among Chinese live streamers exceeds 60%,with a particularly severe situation in income tax compared to commodity taxes.The primary forms of tax evasion involve tax fraud and tax avoidance,with varying methods across different tax catego-ries.For instance,personal income tax evasion often involves concealing income,while value-added tax evasion is mainly characterized by overstating expenses in financial records.Additional-ly,external regional factors such as tax supervision intensity are key obstacles to tax evasion,and higher-tier live streamers exhibit more pronounced effects of these external barriers.Therefore,it is necessary to prioritize income tax collection and management,strengthen tax source over-sight for new business models,prevent tax fraud and evasion by live streamers,and implement localized tax source monitoring and intelligence exchange.
刘鹏;吴梦雅
安徽工程大学经济与管理学院,安徽芜湖 241000大连海事大学航运经济与管理学院,辽宁大连 116026
管理科学
网络主播税收流失规模测算形成差异障碍因素
live streamertax losssize estimationcausing factorbarrier factor
《财经理论与实践》 2026 (2)
71-80,10
国家社会科学基金一般项目(22BJL055)安徽省高校杰出青年基金项目(2022AH020063)安徽省社会科学创新发展研究课题(2023CX063)
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