COVID-19 Economic Database: China

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Latest update: October 28, 2020

Documentation

This database contains multiple datasets that can be used to investigate the impact of COVID-19 on China’s economy. The database contains seven types of data: IO sector-level data; GTAP sector-level data; province-level data; province by IO sector-level data; province by GTAP sector-level data; Concordance and sector classification; and, raw datasets. Specifically, this database provides province- and sector-level data, including cumulative growth rate of value-added, cumulative growth rate of investment in fixed assets, firm resumption rate, and labor resumption rate collected from official sources and online news. The data are provided at the monthly, bi-weekly, or weekly level.

This database can be used in quantitative economic modeling of the impact of COVID19 on China’s national and subnational economy. For example, one can use the monthly GTAP sector- level growth rate to model the impact of COVID19 shocks on China’s national output in general equilibrium settings. Or one can use the monthly provincial GTAP sector-level data to model the impact of COVID19 shocks on China’s subnational output in general equilibrium settings.

For more data details, please refer to notes included in the database. This database will be continuously updated as they become available every month.

Suggested database citation:

He, X., T. Xiong, and W. Zhang. 2020. COVID-19 Economic Database: China. Center for Agricultural and Rural Development, Iowa State University, Ames, Iowa. (Accessed mm/dd/yyyy).

Please contact Xi He at xihe@iastate.edu for questions and corrections.

Authors

Xi He, Postdoctoral Researcher, Center for Agricultural and Rural Development, Iowa State University

Tao Xiong, Professor and Chair, Department of Agricultural Economics and Management, Huazhong Agricultural University, China

Wendong Zhang, Associate Professor, Department of Economics and Center for Agricultural and Rural Development, Iowa State University

Acknowledgements

This research was supported by the Center for Agricultural and Rural Development (CARD) at Iowa State University. The authors also gratefully acknowledge support from the USDA National Institute of Food and Agriculture Hatch Project 101,030 and grant 2019-67023-29414.

Disclaimer

This institution is an equal opportunity provider. For the full non-discrimination statement or accommodation inquiries, view the USDA and ISU Nondiscrimination Statements.

The data and views shown in this database are the authors’ and do not reflect the views of Iowa State University and Huazhong Agricultural University.

This database and corresponding website are protected by Iowa State University copyright and intellectual property rights. We appreciate your comments and feedback.

Database table types

  1. IO sector-level data
    • T1 presents monthly IO sector-level cumulative growth rate of value-added from November 2019 to March 2020. We compile the data using the GB sector-level data in T19 and concordance in T15. Please note that the cumulative growth rate is the percentage of increase over a set period of time (e.g., the cumulative growth rate in March 2020 denotes the percentage growth of value-added from January 2019-March 2019 to January 2020-March 2020).
    • T2 presents monthly IO sector-level cumulative growth rate of investment in fixed assets from November 2019 to March 2020. We compile the data using the GB sector-level data in T20 and concordance in T15.
  2. GTAP sector-level data
    • T3 presents monthly GTAP sector-level cumulative growth rate of value-added from November 2019 to March 2020. We compile the data using the GB sector-level data in T19 and concordance in T16.
    • T4 presents monthly GTAP sector-level cumulative growth rate of investment in fixed assets from November 2019 to March 2020. We compile the data using the GB sector-level data in T20 and concordance in T16.
  3. Province-level data
    • T5 presents monthly province-level cumulative growth rate of value-added (manufacturing sectors only) from November 2019 to March 2020. We compile the data using the raw province-level data in T21.
    • T6 presents monthly province-level cumulative growth rate of investment in fixed capital from November 2019 to March 2020. We compile the data using the raw province-level data in T22.
    • T7 presents Baidu huiyan province-level resumption index on February 23, 2020, March 3, 2020, March 10, 2020, March 17, 2020, and March 24, 2020.
    • T8 presents the province-level firm resumption rate (for enterprises above a designated size) on February 15, 2020, February 29, 2020, March 15, 2020, and March 31, 2020 from the provincial Ministry of Industry and Information Technology. T25 presents raw data.
    • T9 presents the province-level labor resumption rate (for enterprises above a designated size) on February 15, 2020, February 29, 2020, March 15, 2020, and March 31, 2020 from the provincial Ministry of Industry and Information Technology. T25 presents raw data.
  4. Province by IO sector-level data
    • T10 presents monthly provincial IO sector-level cumulative growth rate of value-added (manufacturing sectors only) from November 2019 to March 2020. We compile the data using the province by GB sector-level data in T23 and concordance in T15.
    • T11 presents monthly provincial IO sector-level cumulative rate of investment in fixed capital from November 2019 to March 2020. We compile the data using the province by GB sector-level data in T23 and concordance in T16.
  5. Province by GTAP sector-level data
    • T12 presents monthly provincial GTAP sector-level cumulative growth rate of value-added (manufacturing sectors only) from November 2019 to March 2020. We compile the data using the province by GB sector-level data in T24 and concordance in T15.
    • T13 presents monthly provincial GTAP sector-level cumulative rate of investment in fixed capital from November 2019 to March 2020. We compile the data using the province by GB sector-level data in T24 and concordance in T16.
  6. Concordance and sector classification
    • T14: IO sectors, GTAP sectors, and sectors in the GB.
    • T15: Concordance between IO sectors and GB sectors.
    • T16: Concordance between GB and GTAP sectors.
    • T17: Concordance between IO sectors and GTAP sectors.
    • T18: Availability of sector-level province data.
  7. Various raw datasets
    • T19: GB sector-level cumulative value-added growth rate (manufacturing sectors only).
    • T20: GB sector-level investment in fixed capital cumulative growth rate.
    • T21: Province-level cumulative manufacturing sectors value-added growth rates (manufacturing sectors only).
    • T22: Province-level investment in fixed capital cumulative growth rate.
    • T23: Province and GB sector-level cumulative value-added growth rate (manufacturing sectors only).
    • T24: Province and GB sector-level cumulative investment in fixed capital growth rate.
    • T25: Province-level firm resumption data on select dates (for enterprises above designated size).
    • T26: Province-level labor resumption data on select dates (for enterprise above designated size).
    • T27: Province sector-level resumption rate.
    • T28: Province-level Peking University resumption index.
    • T29: Capacity utilization.
    • T30: Industrial sector electrical consumption.
    • T31: Select provinces’ congestion indices.
    • T32: Daily number of subway passengers.
    • T33: Daily number of vehicular passengers.
    • T34: Select power generation groups’ coal consumption.
    • T35: Province-level freight volumes.

May 22, 2020 Update

  • Updated tables
    • T1-T6, T10-T13, T19-24, T30 updated til April 2020
    • T29 and T35 updated till March 2020
    • T31-T34 updated till May 2020
    • T18 updated
  • Newly added tables on GDP and agricultural trade
    • T36 Quarterly cumulative GDP (100 million RMB)
    • T37 Province-level cumulative GDP (100 million RMB)
    • T38 China’s monthly agricultural import quantity (Tons)
    • T39 China’s monthly agricultural import value (US $)
    • T40 China’s monthly agricultural export quantity (Tons)
    • T41 China’s monthly agricultural export value (US $)
    • T42 US monthly agricultural exports to China
    • T43 US weekly key agricultural commodity exports to China

June 29, 2020 Update

  • T1-T6, T10-T13, T18-24, T30, T35 updated to May 2020
  • T31-32 updated to June 23, 2020
  • T33 updated to June 5, 2020
  • T34 updated to June 24, 2020
  • T38-T42 updated to April 2020
  • T43 updated to 2020-06-11
  • T44 on city-level prevention and control measures is added

August 27, 2020 Update

  • T1-T6, T10-T13, T18-24 updated to July 2020
  • T38-T42 updated to June 2020
  • T43 updated to 2020-08-13

October 28, 2020 Update

  • T1-T6, T10-T13, T18-24, T29, T30, T35 updated to September 2020
  • T31, T32, T34 updated to 2020-10-26
  • T38-T42 updated to Aug 2020
  • T43 updated to 2020-10-15
  • T45 was added

The database provides various links to the raw datasets listed above.