Will the Supporting Policies Help the Recovery of SMEs during the Pandemic of COVID-19? — Evidence from Chinese Listed Companies

ABSTRACT

Employing the method of fuzzy Regression Discontinuity Design (Fuzzy-RDD) with 12220 valid sample data from 2,444 enterprises and with data duration covering from February to June 2020, this paper studied the effectiveness of supporting policies for small and medium-sized enterprises (SMEs) during the COVID-19 in China. The study found that the policies which were implemented are beneficial for wholesale enterprises recovery. However, they are not beneficial for manufacturing, transportation and information transmission industries. Suggestions were put forward to the government about how to improve the support policies’ effectiveness for SMEs.

KEYWORDS:

• COVID-19
• smes
• effectiveness of policy
• fuzzy-RDD

JEL:

• G31
• G32
• M41
• C35

Acknowledgments

This study was supported by the International Innovation Team Program in Philosophy and Social Sciences of Jilin University “China’s Foreign Trade and Financial Cooperation under the BRI”(2019GJTD03), Major Program of the Key Research Base of Philosophy and Social Sciences of Jilin University “The Economic Dependence of China, Japan and Korea and the Construction of New Economic Cooperation under the BRI” (2019XXJD04) and the Program of Department of Science and Technology of Jilin Province “The application of the stochastic differential equation with rough path in finance”(20200201262JC).

Additional information

Funding

This study was supported by the International Innovation Team Program in Philosophy and Social Sciences of Jilin University “China’s Foreign Trade and Financial Cooperation under the BRI” (2019GJTD03), Major Program of the Key Research Base of Philosophy and Social Sciences of Jilin University “The Economic Dependence of China, Japan and Korea and the Construction of New Economic Cooperation under the BRI” (2019XXJD04) and the program of Department of Science and Technology of Jilin Province “The application of the stochastic differential equation with rough path in finance” (20200201262JC).