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The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China()

The COVID-19 pandemic has brought unprecedented disruptions to many industries, and the transportation industry is among the most disrupted ones. We seek to address, in the context of a ride-sharing platform, the response of drivers to the pandemic and the post-pandemic recovery. We collected compre...

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Autores principales: Wang, Wei, Miao, Wei, Liu, Yongdong, Deng, Yiting, Cao, Yunfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554112/
https://www.ncbi.nlm.nih.gov/pubmed/34728910
http://dx.doi.org/10.1016/j.tra.2021.10.005
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author Wang, Wei
Miao, Wei
Liu, Yongdong
Deng, Yiting
Cao, Yunfei
author_facet Wang, Wei
Miao, Wei
Liu, Yongdong
Deng, Yiting
Cao, Yunfei
author_sort Wang, Wei
collection PubMed
description The COVID-19 pandemic has brought unprecedented disruptions to many industries, and the transportation industry is among the most disrupted ones. We seek to address, in the context of a ride-sharing platform, the response of drivers to the pandemic and the post-pandemic recovery. We collected comprehensive trip data from one of the leading ride-sharing companies in China from September 2019 to August 2020, which cover pre-, during-, and post-pandemic phases in three major Chinese cities, and investigate the causal effect of the COVID-19 pandemic on driver behavior. We find that drivers only slightly reduce their number of shifts in response to increased COVID-19 cases, likely because they have to make a living from providing ride-sharing services. Nevertheless, conditional on working, drivers exhibit strong risk aversion: As the number of new cases increases, drivers strategically adjust the scope of their search for passengers, complete fewer trips, and as a result, make lower daily earnings. Finally, our heterogeneity analyses indicate that the effects appear to vary both across drivers and over time, with generally stronger effects on drivers who are older, more experienced, more active before the pandemic, and higher-status within the firm. Our findings have strong policy implications: These drivers tend to contribute more to the focal company, and also rely more on providing ride-sharing services to make a living. Therefore, they should be prioritized in stimulus plans offered by the government or the ride-sharing company.
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spelling pubmed-85541122021-10-29 The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China() Wang, Wei Miao, Wei Liu, Yongdong Deng, Yiting Cao, Yunfei Transp Res Part A Policy Pract Article The COVID-19 pandemic has brought unprecedented disruptions to many industries, and the transportation industry is among the most disrupted ones. We seek to address, in the context of a ride-sharing platform, the response of drivers to the pandemic and the post-pandemic recovery. We collected comprehensive trip data from one of the leading ride-sharing companies in China from September 2019 to August 2020, which cover pre-, during-, and post-pandemic phases in three major Chinese cities, and investigate the causal effect of the COVID-19 pandemic on driver behavior. We find that drivers only slightly reduce their number of shifts in response to increased COVID-19 cases, likely because they have to make a living from providing ride-sharing services. Nevertheless, conditional on working, drivers exhibit strong risk aversion: As the number of new cases increases, drivers strategically adjust the scope of their search for passengers, complete fewer trips, and as a result, make lower daily earnings. Finally, our heterogeneity analyses indicate that the effects appear to vary both across drivers and over time, with generally stronger effects on drivers who are older, more experienced, more active before the pandemic, and higher-status within the firm. Our findings have strong policy implications: These drivers tend to contribute more to the focal company, and also rely more on providing ride-sharing services to make a living. Therefore, they should be prioritized in stimulus plans offered by the government or the ride-sharing company. Elsevier Ltd. 2022-01 2021-10-29 /pmc/articles/PMC8554112/ /pubmed/34728910 http://dx.doi.org/10.1016/j.tra.2021.10.005 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Wang, Wei
Miao, Wei
Liu, Yongdong
Deng, Yiting
Cao, Yunfei
The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China()
title The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China()
title_full The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China()
title_fullStr The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China()
title_full_unstemmed The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China()
title_short The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China()
title_sort impact of covid-19 on the ride-sharing industry and its recovery: causal evidence from china()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554112/
https://www.ncbi.nlm.nih.gov/pubmed/34728910
http://dx.doi.org/10.1016/j.tra.2021.10.005
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