T/CSPEA 004-2020 Data Statistical Standards for the Property Rights Trading Industry
T/CSPEA 004-2020
Basic Information
Scope
Main technical content: The new industry statistical standards apply to institutional members engaged in state-owned asset transactions designated by state-owned asset supervision agencies at the provincial level or above, as well as specialized trading institutions controlled or actually controlled by these agencies. The data statistical standards formulated this time implement two important documents issued by the National Development and Reform Commission, namely: the "Notice on Piloting the Data Statistical Analysis System for Public Resource Trading" (Decree No. 219 of the National Development and Reform Commission [2016]) and the "Data Specifications for Public Resource Trading Platform Systems (V2.0)". In terms of statistical classification and statistical report design, this statistical standard fully references the relevant requirements of the National Development and Reform Commission on the data statistical analysis system for public resource trading, separately classifying natural resource-related, environmental rights-related, and bidding and procurement-related businesses, striving to fully reflect the achievements and results of the property rights trading industry in participating in the construction of national public resource trading platforms. To fully reflect the role of the property rights trading capital market in serving the reform of state-owned assets and enterprises and implementing a series of major strategic decisions of the state since the 18th National Congress of the Communist Party of China, this statistical standard, in addition to basic data statistics, also designs six types of special statistics from another perspective, including: 1. Special statistics on serving the public resource trading platform system; 2. Special statistics on serving the Belt and Road Initiative; 3. Special statistics on serving mixed ownership reform; 4. Special statistics on serving rural revitalization; 5. Special statistics on serving the upgrading of c