In recent years, China has made great progress in services trade statistics with the full cooperation of all departments. It has become one of the few countries that can release the data of service import and export and FATS at the same time.
However, with the development of information technology and increasingly diversified means of payment, there may also be deviations between the existing service trade data and the actual occurrence of service trade, which may not reflect the full picture of China's service trade. China should draw on international statistical experience and practice to explore new data collection channels as the basis for the preparation of trade in services.
1. Improve the evaluation and revision mechanism of data A perfect statistical system is the premise to guarantee the quality of statistical data, and the evaluation and revision of statistical data is an important part of the statistical system. Therefore, the evaluation and revision mechanism in the international statistical guidelines can be referred to, and the data on trade in services can be appropriately revised according to the business statistics and special investigation statistics of other departments.
2. Revision of the statistical monitoring system of trade in services Further revise and improve the Monitoring System for Statistics of International Trade in Services, the rights and obligations of the parties concerned, increase statistical enforcement efforts, and strive to achieve the unification of data.
Suggestions for improving service trade statistics 3. Strengthen data exchange and sharing Statistics on trade in services involve multiple departments and fields and need to strengthen interdepartmental cooperation and communication. It is recommended to perfect the statistical network of trade in services and improve the data sharing and exchange system. It is recommended to actively promote the sharing of information and data among commerce, foreign administration, taxation, customs, and other departments to reduce the burden on enterprises and increase the efficiency of data use.
