2 1 International Experience and Practice of China Statistics on Trade in Services Li Jun
Exploration in other places
Yunnan: In July 2019, the Trade in Services Division of the Department of Commerce of Yunnan Province held a review meeting on the Work Plan for the Statistical Survey of Travel Services Trade in Yunnan Province and the Work Plan for the Statistical Survey of Transport Services Trade in Yunnan Province. The next step will be to further perfect the regular mechanism for the regular collection and release of trade in services data in Yunnan Province.
Suzhou: In November 2020, the Full-aperture Statistical Methods of Local Trade in Services in China-reference to SIP was released at the 3rd China-Singapore Trade in Services Innovation Forum. Based on international standard research and international experience, the research group further optimized and improved the statistical methods of local trade in services through field research and expert argumentation, with the help of big data such as CUP, China Mobile, and the customs declaration of local custom brokers company, and using input-output table data.
Heilongjiang: The Heilongjiang Tourism Survey Program was released, stipulating the purpose of the survey, survey content, survey target, and scope, survey method, organization, and data release, etc. According to the requirements of the China National Tourism Administration, a special sample survey was conducted exclusively for the spending of inbound tourists, and 1,400 inbound tourists and 15 travel groups were surveyed separately.
Zhejiang: In 2020, Zhejiang Province E-commerce Promotion Center led a study on the subject of cross-border online retail export statistics in the province. After the preliminary data collection and related research, preliminary calculations were made to derive the province's cross-border online retail export data for the year 2019 and January 2020 by county. Among them, the data in January 2020 mainly include data from third-party platforms such as AliExpress, Amazon (including U.S., Europe, and Japan), eBay, and Wish, and do not include data from cross-border online retail export platforms built by cities and counties and other third-party platforms.
