The analysis on Chinese e-commerce tax losses based on the perspective of information asymmetry

With the rapid development and practical application of e-commerce, the problem of tax losses in electronic commerce has become the focus of extensive concerns in China. For Chinese e-commerce activities, whether there are tax losses and how much is the scale of tax losses? What is the main reason for the e-commerce tax losses in China? These have been considered to be huge challenges for the development of electronic commerce and the collection of national tax. In this paper, the status of e - commerce tax losses in China is estimated by means of tax-loss rate using quarterly data on e-commerce transactions from 2004 to 2017, and the empirical results presented that the scale of e-commerce tax losses increased sharply every year in China. Especially in 2017, the tax-loss rate of Chinese e-commerce is about 14.62%, and the total amount of e-commerce tax losses is about 4.26 trillion RMB, accounting for 29.52% of Chinese actual tax revenue. Moreover, the analytical method of mixed strategy Nash Equilibrium is used to evaluate the effect of information asymmetry on the e-commerce tax losses. Due to the imperfect third-party credit information platform, the information asymmetry makes the effectiveness of tax audit for e-commerce tax authorities and the invisible integrity revenue of the e-commerce taxpayers (the opportunity cost of tax evasion) lower, which is the main reason for the e-commerce tax losses. Based on analysis results of mixed strategy Nash Equilibrium, the suggestions have been proposed to perfect the tax collection and administration system of e-commerce in China.

[1]  C. Granger,et al.  Forecasting Volatility in Financial Markets: A Review , 2003 .

[2]  C. Granger,et al.  Co-integration and error correction: representation, estimation and testing , 1987 .

[3]  Weiguo Fan,et al.  Social Presence, Trust, and Social Commerce Purchase Intention: an Empirical Research , 2016, PACIS.

[4]  Ser-Huang Poon,et al.  Forecasting Volatility in Financial Markets: A Review (Revised Edition) , 2002 .

[5]  Andrew A. Samwick Tax Shelters and Passive Losses after the Tax Reform Act of 1986 , 1995 .

[6]  Estelle P. Dauchy,et al.  Federal Income Tax Revenue Volatility Since 1966 , 2013 .

[7]  Rodríguez Javiera Bravo The Incentive Effect of Equalization Grants on Tax Collection , 2013 .

[8]  Roman Beck,et al.  Globalization and E-Commerce: Diffusion and Impacts of the Internet and E-Commerce in Germany , 2004 .

[9]  Michael Cooper,et al.  Partial Loss Refundability: How Are Corporate Tax Losses Used? , 2006, National Tax Journal.

[10]  Sami Dakhlia,et al.  Should Sales Taxes Be Imposed on E-Commerce? , 2007 .

[11]  Sherah Kurnia,et al.  A qualitative study of business-to-business electronic commerce adoption within the Indonesian grocery industry: A multi-theory perspective , 2015, Inf. Manag..

[12]  Donald Bruce,et al.  State and Local Tax Revenue Losses from E-Commerce: Estimates as of July 2004 , 2004 .

[13]  Andrew B. Nyaboga,et al.  E-Commerce And Small Business Enterprise Some Evidence From Northern New Jersey , 2011 .

[14]  Ming-Huei Chen,et al.  Efficiency of Tax Collection and Tax Management in Taiwan's Local Tax Offices , 2017 .

[15]  Burcu Kuzucu Yapar,et al.  The Role of Taxation Problems on the Development of E-Commerce , 2015 .

[16]  Carolyn A. Lin,et al.  A comparative study of online privacy regulations in the U.S. and China , 2011 .

[17]  Štefan Bojnec,et al.  Shadow Economy in Slovenia: The Labour Approach , 2007 .

[18]  Richard J. Cebula Where Has The Currency Gone? And Why? The Underground Economy And Personal Income Tax Evasion In The U.S., 1970-2008 , 2014, Review of Economic Analysis.

[19]  Bahaudin G. Mujtaba,et al.  Cultural Paradigms of Age Discrimination and Unearned Privileges , 2011 .

[20]  R. Engle Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation , 1982 .

[21]  Flavius Frasincar,et al.  Automated product taxonomy mapping in an e-commerce environment , 2015, Expert Syst. Appl..

[22]  Zhulei Tang,et al.  The Impact of Sales Tax on Internet and Catalog Sales: Evidence from a Natural Experiment , 2013 .

[23]  T. C. Michael Wu,et al.  Income tax deductions for losses as insurance revisited , 2014 .

[24]  Jan Kemper,et al.  How do different payment methods deliver cost and credit efficiency in electronic commerce? , 2016, Electron. Commer. Res. Appl..

[25]  Rana Deljavan Anvari,et al.  The Impact of E-commerce and R&D on Economic Development in Some Selected Countries , 2016 .

[26]  Adnan Omar,et al.  The impact of e-taxation policy on state and local government revenue , 2009, Electron. Gov. an Int. J..

[27]  Norberto Nuno Gomes de Andrade,et al.  Friending the taxman , 2013 .

[28]  Tan Qing-mei A Repeated Game Analysis on Tax Collection and Administration Under Asymmetric Information , 2005 .

[29]  Janice C. Sipior,et al.  The E-Commerce Sales and Use Tax Controversy: Is the End Near? , 2012, Inf. Syst. Manag..

[30]  K. Glaister,et al.  Electronic Commerce and International Taxation:: A Square Peg in a Round Hole? , 2001 .

[31]  Sanjay Gupta,et al.  Empirical Evidence on the Revenue Effects of State Corporate Income Tax Policies , 2009, National Tax Journal.

[32]  Louis Kaplow Income Tax Deductions for Losses as Insurance , 1992 .

[33]  Luca Zarri,et al.  Tax evasion in a behaviorally heterogeneous society: An evolutionary analysis , 2014 .

[34]  Huijuan Huang,et al.  E-commerce tax collection and administration in China , 2012, 2012 International Conference on Information Management, Innovation Management and Industrial Engineering.

[35]  Wang Cui New Problems and Solution on Tax Collection and Administration Caused by E-commerce , 2003 .

[36]  Cameron Richards,et al.  Optimizing Grounded Theory for Policy Research , 2016 .

[37]  Subhajit Basu To Tax or Not to Tax? That is the Question? Overview of Options in Consumption Taxation of E-Commerce , 2004, J. Inf. Law Technol..

[38]  Steven John Simon,et al.  Electronic Commerce: A Taxing Dilemma , 2002, Informing Sci. Int. J. an Emerg. Transdiscipl..

[39]  Yue Hu,et al.  Game Theory Analysis of E-Commerce’s Price War , 2014 .

[40]  Wei Lu,et al.  The Researches on the Development Strategy of E-Commerce and Logistics Based on Dynamic Game Theory , 2018, 2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS).

[41]  FanWeiguo,et al.  Social presence, trust, and social commerce purchase intention , 2016 .

[42]  Carla Carnaghan,et al.  E-Commerce and Tax Planning: Canadian Experiences , 2004 .

[43]  Eli Feinerman,et al.  The Use of Organic vs. Chemical Fertilizer with a Mineral Losses Tax: The Case of Dutch Arable Farmers , 2005 .

[44]  Sun Xi Xiao Tax Revenue Loss under Electronic Commerce in China , 2014 .

[45]  Weigang Li,et al.  e-Commerce Game Model - Balancing Platform Service Charges with Vendor Profitability , 2014, ICEIS.

[46]  Claudio M. Radaelli,et al.  Game Theory and Institutional Entrepreneurship: Transfer Pricing and the Search for Coordination International Tax Policy , 1998 .

[47]  Abdulnasser Hatemi-J,et al.  Multivariate tests for autocorrelation in the stable and unstable VAR models , 2004 .

[48]  Lisa M. Given,et al.  Parents as co-researchers at home: Using an observational method to document young children’s use of technology , 2016 .

[49]  Ping Wang,et al.  Evaluation of the Reverse Mortgage Option in Hong Kong , 2017 .

[50]  Wang Huai-min An Analysis on China's System of Tax Distribution Based on Game Theory , 2004 .