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For those institutions subscribing to China Data Institute China Yearly Statistics (National/Subnational), we suggest including a listing for the dataset in your A-Z list of databases in addition to the main entry for Data Planet Statistical Datasets to help increase awareness:
China Data Institute
The China Data Institute datasets available in the Data Planet repository provide yearly historical indicators of social and economic characteristics of the People’s Republic of China. Included are national-level statistics dating in some cases to the 1950s. Our subscription to Data Planet also includes access to subnational data distributed by the China Data Institute, which provides data for provinces, cities, and counties in China. Topics range from population; national accounts, including Gross Domestic Product and Balance of Payments; employment, labor, and wages; financial and banking data; price indices; government income and expenditures; agriculture; industry, construction, and transportation; domestic and foreign trade; education; health; and natural resources. After entering Data Planet, find China Data Institute datasets in the Browse by Subject – International listing, or under Browse by Source – China Data Institute.
Help Guide link: https://data-planet.libguides.com/CDC
The China Data Institute datasets provide yearly historical indicators of social and economic characteristics of the People’s Republic of China. Included are national-level statistics dating in some cases to the 1950s. Premium subscriptions to Data Planet also include access to China Yearly Statistics (National/Subnational) datasets distributed by the China Data Institute, which provides data (as available) for all provinces, cities and counties within provinces, all cities, and all counties in China.
Statistics are provided on population; national accounts, including Gross Domestic Product and Balance of Payments; employment, labor, and wages; financial and banking data; price indices; government income and expenditures; agriculture; industry, construction, and transportation; domestic and foreign trade; education; health; and natural resources. The data are collected primarily by the National Bureau of Statistics of China, who is charged with the administration of the national statistical information system of China.
For "Explanatory Notes on Main Statistical Indicators of Macro-economy,” see http://china-data-online.com/info/jieshi.asp .
In Data Planet, the many indicators included in the China Data Institute datasets can be viewed as stand-alone trends, charts, or maps. The listing of indicators can be viewed by opening the China Data Institute entries in the "Source" and "Subject" tabs. For example, the chart below shows change over time in the state- vs. collective-owned enterprises focused on construction in rural areas of China.
Note that you can learn more about the indicator, dataset, and source by viewing the statistical abstract that appears below the chart, as below. These summaries can be exported with the graph by clicking on the Export link in the menu bar above the chart. The Create DOI link allows you to create a DOI that ensures that each time you reference the data in a paper or elsewhere that the reader can view the exact view of the DataSheet at the time you created it. For more information on DOIs, click here.
The implementation of China Data Institute datasets in Data Planet allows you to compare indicators across provinces, cities, and counties so be sure to explore the many options available to do so. The chart below compares the output value of state- vs. collective-owned construction enterprises in Beijing and Shanghai. To select multiple indicators, hold down the control (Ctrl) key when clicking on the second (or third) item on the indicator tree. For more information on selecting data for viewing, see https://data-planet.libguides.com/statisticaldatasets.
Try it yourself with other indicators and geographies.
Remember This!
Keep in mind that the graphs you create do not necessarily imply causality: the results may suggest a potential relationship between the variables you select, which may be an interesting line of inquiry for your own research.
For more information on using Data Planet, see http://data-planet.libguides.com/statisticaldatasets .