How Do Firms Respond to COVID-19? First Evidence from Suzhou, China
By Xin Gu, Shang Ying, Weiqiang Zhang, Yewei Tao. Emerging markets finance & trade, 2020
187 citations recorded by the source corpus.
ABSTRACT In this article, daily electricity usage data for 34,040 enterprises in Suzhou (China) were examined for economic activity associated with the response to COVID-19. Employing a difference-in-differences estimation model, we find that the manufacturing industry incurred the greatest negative effect while industries such as construction, information transfer, computer services and software, and health care and social work were positively impacted by COVID-19. Private firms suffered more than state-owned enterprises and foreign-owned firms, and smaller firms experienced an additional 30% decline compared to large-sized firms.
Subfields: Economics and Econometrics, Global and Planetary Change, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/2ae67d34863bed617991f3e32f12bff5ff98314c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Paresh Kumar Narayan
- Muhammad Shahbaz
- Ilhan Ozturk
- Afees A. Salisu
- Sakiru Adebola Solarin
- Nicholas M. Odhiambo
- C. Tang
- Russell Smyth *
In Global and Planetary Change
In Modeling and Simulation
Citations in the corpus
- Did Bubble Activity Intensify During COVID-19? (2020, background): “…growing literature on COVID-19 (see Al-Awadhi et al., 2020; Devpura & Narayan, 2020; Ertuğrul et al., 2020; Fu & Shen, 2020; Gil-Alana & Monge, 2020; Gu et al., 2020; Haroon & Rizvi, 2020a, 2020b; Huang & Zheng, 2020; Iyke, 2020a, 2020b; Liu et al., 2020; Narayan, 2020; Qin et al., 2020; A. Salisu…”
- A Note on the Asian Market Volatility During the COVID-19 Pandemic (2020, unknown): “…global economies; see, for instance, Mishra et al. (2020), Salisu & Akanni (2020), Chen et al. (2020), Wang et al. (2020), Yue et al. (2020), Yu et al. (2020), Xiong et al. (2020), Shen et al. (2020), Gu et al. (2020), Haroon & Rizvi (2020), Iyke (2020), He et al. (2020), and Liu et al. (2020).”
- COVID-19 lockdowns, stimulus packages, travel bans, and stock returns (2020, unknown): “2020); industry and sector effects (He et al. 2020a, b; Xiong et al. 2020; Gu et al. 2020); fear and sentiment effects (Chen et al.”