Abstract
Faced with the widespread implementation of the global minimum tax(GMT)scheme,it is necessary to comprehensively evaluate the multi-dimensional impact of the GMT implementation from the perspective of economic calculation,so as to provide detailed data support for the theoretical and practical fields to carry out systematic research.From theoretical literature,the implementation of GMT is beneficial for stabilizing the global macro investment policy environment in the medium to long term,increasing the income level of corporate income tax(CIT)globally and in most jurisdictions,and incentivizing developing countries and investment centers to prioritize the introduction of Qualified Domestic Minimum Top-up Tax(QDMTT).According to empirical calculations,since 2018,there have been over 5,500 multinational enterprise(MNE)groups globally affected by GMT each year,showing an overall growth trend.The number of Chinese resident MNE groups affected by GMT has been increasing year by year,and the total number of enterprises reached 872 in 2023.According to the CbCR data of the OECD,if China chooses to implement QDMTT alone,it will obtain more tax revenue than it would achieve under the Income Inclusion Rule(ⅡR)alone,and the tax revenue generated by implementing both QDMTT and ⅡR will be the highest.Benefiting from the protective effects of transitional policies and safe harbor rules,GMT will have limited impact on the tax interests of Chinese resident MNE groups and jurisdictions in the short term.From the perspective of policy recommendations,it is possible to comprehensively track the implementation progress of GMT in the jurisdiction and the alternative financial and tax incentive measures that do not belong to the"spin off benefits"of QDMTT.Priority should be given to implementing the"Chinese version"of QDMTT rules,and relevant tax preferential policies should be optimized and adjusted in a timely manner,gradually establishing a systematic,scientific,standardized and efficient tax expenditure system.
NETL
NSTL
万方数据