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

doi:10.1016/j.tra.2021.10.005

Cited by 32 publications

(23 citation statements)

References 35 publications

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“…We see that the measures and incentives taken by the countries where the studies were conducted within the first year of the period drew more optimistic scenarios, pointing to a serious recovery trend. China seems to be the leading country in the recovery process (Wang et al, 2022). It was estimated that China, a significant manufacturer, would close 2021 with a serious growth rate.…”

Section: Model Data and Empirical Resultsmentioning

confidence: 99%

The Impact of the Covid-19 Pandemic on Financial Markets on Selected Developed Countries

Kuloğlu

2022

Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi

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Studies cannot provide adequate predictions regarding the depth and length of the Covid-19 virus because the Covid-19 pandemic is an unprecedented epidemic in terms of the lack of data gathered so far. The measures taken by governments and the deterioration of human health conditions have affected all sectors; especially production, distribution, and supply chains. The sector most severely inflicted by the epidemic is the financial markets. This study examined the effects of Covid-19 cases and CDS (Credit Default Swap) premiums on financial markets benefitting from the daily data collected between February 3, 2020, and September 20, 2021. As a result, it was seen that Covid-19 cases and CDS premiums posed a negative impact on stock market indices in selected countries (England, France and the United States). The country with the highest impact of Covid-19 cases on stock market indices is England. The country with the lowest CDS premiums on stock market indices is England and the country with the highest is the United States. More strikingly, the negative impact posed by CDS premiums on stock market returns due to the uncertainty of the epidemic was analyzed to be stronger than that posed by Covid-19 cases. Thus, governments should develop policies to reduce pandemicinduced uncertainty in the financial markets. DOI: https://dergipark.org.tr/tr/pub/nevsosbilen/article/914921 Atıf/Cite as: Kuloğlu, A. (2022). The impact of the covid-19 pandemic on financial markets on selected developed countries.

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Section: Model Data and Empirical Resultsmentioning

confidence: 99%

The Impact of the Covid-19 Pandemic on Financial Markets on Selected Developed Countries

Kuloğlu

2022

Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi

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“…All the subsectors, sectors, and support services for the entire tourism value chain were advserly affected by the pandemic, which resulted in the loss of jobs, lives, and livelihoods. Some of the tourism sectors and subsectors that were adversely affected by COVID-19 includes the sports tourism industry ( Drewes et al, 2021 ; Alam and Abdurraheem, 2021 ); restaurant industry ( Dube et al, 2021a , Dube et al, 2021b , Dube et al, 2021c ; Kim et al, 2021 ; Song et al, 2021 ); aviation industry ( Liu et al, 2021 ; Deveci et al, 2022 ), car rental and airports industry to mention but a few ( Wang et al, 2022 ; Zhang et al, 2022 ). The scourge of the COVID-19 pandemic did not spare tourists destinations that are highly dependent on tourism revenue for conservation either, as they were left battling to look for conservation financing elsewhere ( Hambira et al, 2021 ; Bates et al, 2021 ; Gibbons et al, 2021 ).…”

Section: Literature Surveymentioning

confidence: 99%

COVID-19 vaccine-induced recovery and the implications of vaccine apartheid on the global tourism industry

Dube

2022

Physics and Chemistry of the Earth, Parts A/B/C

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“…Additionally, there was a drastic change in the demand for bicycles near train stations and parks, which shows changes in human behaviour regarding bicycle usage. Also, ride-sharing services (e.g., Uber) witnessed tremendous changes in driver behaviour (Wang et al, 2022).…”

Section: Related Workmentioning

confidence: 99%

Predicting Traffic Congestion During Covid19 Using Human Mobility and Street-Waste Features

Zarbakhsh

McArdle²

2022

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. With COVID-19’s prevalence and government efforts to curb its spread, urban travel behaviour has significantly altered, resulting in a significant shift in traffic congestion. Rather than predicting traffic congestion based on historical data, we aim to model the correlation between travel behaviour and external mobility-related urban features and use Dublin in Ireland as a case study. This study incorporates four categories of urban data, including 1) Mobility-based features, including the government’s interventions and mobility pattern changes in different locations, 2) Environmental features such as weather and urban street-waste, 3) COVID-19- related features such as the positivity and vaccination rates, and 4) Time-related features such as public holidays. First, we examine the impact of COVID-19 on traffic congestion and street-waste to understand the city’s dynamic. Then, multiple machine learning (ML) models, such as random forests, support vector regression, light gradient boosting machine, and multiple linear regression are trained, and their performance optimized to predict traffic congestion changes. We compare the outcomes of the models with several evaluation metrics and interpret the best performing model. The results indicate that mobility changes in grocery and pharmacy, retail and recreation, workplaces sectors, and the amount of urban street-waste significantly contribute to the model outcomes. Findings could predict traffic dynamics in times of crisis and allow authorities to comprehend the effects of their intervention measures on mobility, which would ultimately benefit developing smart cities and intelligent transportation systems.

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

Cited by 32 publications

References 35 publications

The Impact of the Covid-19 Pandemic on Financial Markets on Selected Developed Countries

The Impact of the Covid-19 Pandemic on Financial Markets on Selected Developed Countries

COVID-19 vaccine-induced recovery and the implications of vaccine apartheid on the global tourism industry

Predicting Traffic Congestion During Covid19 Using Human Mobility and Street-Waste Features

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