How Digital Platform Enables Social Governance: Containing COVID-19 in China

38 Pages Posted: 27 Mar 2020 Last revised: 20 Oct 2021

See all articles by Ke Rong

Ke Rong

Institute of Economics, School of Social Sciences, Tsinghua University

Di Zhou

Institute of Economics, School of Social Sciences, Tsinghua University

Ke Tang

Institute of Economics, School of Social Sciences, Tsinghua University

Cong Cao

University of Nottingham, Ningbo

Date Written: March 20, 2020

Abstract

We developed a new platform governance model which better enables the digital platforms to participate in the social governance. During the COVID-19 pandemic, it is optimal that citizens voluntarily and simultaneously comply with and help spread government’s initiative to isolate the virus, such as maintaining social distancing, staying at home, paying attention to personal hygiene, among others. Therefore, we-governance, characterized by citizens as government partners in group decision making and especially policy implementation via online social media platforms, becomes much more important than that in normal days. Using a unique database of government accounts from a large online short-video platform in mainland China, we show that the level of we-governance negatively predicts the intensity of COVID-19 transmission in Chinese cities. Overall, the joint response of governments and the public through online digital platforms can help solve the social issues better.

Keywords: We-governance, Platform Governance, Social Governance, Social Media, COVID-19

JEL Classification: H1, I1

Suggested Citation

Rong, Ke and Zhou, Di and Tang, Ke and Cao, Cong, How Digital Platform Enables Social Governance: Containing COVID-19 in China (March 20, 2020). Available at SSRN: https://ssrn.com/abstract=3560879 or http://dx.doi.org/10.2139/ssrn.3560879

Ke Rong (Contact Author)

Institute of Economics, School of Social Sciences, Tsinghua University ( email )

MingZhai Building
Beijing, 100084
China

Di Zhou

Institute of Economics, School of Social Sciences, Tsinghua University ( email )

No. 1 Tsinghua Garden
Haidian District
Beijing, 100084
China

Ke Tang

Institute of Economics, School of Social Sciences, Tsinghua University ( email )

No.1 Tsinghua Garden
Beijing, 100084
China

Cong Cao

University of Nottingham, Ningbo ( email )

199 Taikang East Road
Ningbo, Zhejiang 315100
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
341
Abstract Views
2,639
Rank
134,388
PlumX Metrics