A general equilibrium assessment of COVID-19's labor productivity impacts on china's regional economies
Journal of Productivity Analysis, ISSN: 1573-0441, Vol: 58, Issue: 2-3, Page: 129-150
2022
- 4Citations
- 22Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations4
- Citation Indexes4
- Captures22
- Readers22
- 22
Article Description
This study introduces a database for analyzing COVID-19’s impacts on China’s regional economies. This database contains various sectoral and regional economic outcomes at the weekly and monthly level. In the context of a general equilibrium trade model, we first formulate a mathematical representation of the Chinese regional economy and calibrate the model with China’s multi-regional input-output table. We then utilize the monthly provincial and sectoral value-added and national trade series to estimate COVID-19’s province-by-month labor-productivity impacts from February 2020 to September 2020. As a year-on-year comparison, relative to February 2019 levels, we find an average 39.5% decrease in labor productivity (equivalent to around 305 million jobs) and an average 25.9% decrease in welfare. Labor productivity and welfare quickly returned to the recent high-growth trends for China in the latter half of 2020. By September 2020, relative to September 2019, average labor productivity increased by 12.2% (equivalent to around 94 million jobs) and average welfare increased by 8.2%.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85134707437&origin=inward; http://dx.doi.org/10.1007/s11123-022-00642-3; http://www.ncbi.nlm.nih.gov/pubmed/35910675; https://link.springer.com/10.1007/s11123-022-00642-3; https://dx.doi.org/10.1007/s11123-022-00642-3; https://link.springer.com/article/10.1007/s11123-022-00642-3
Springer Science and Business Media LLC
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