Effectiveness of the Anti-Crisis Policy in the Period of COVID-19 Pandemic in the Road Transport Industry
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- Zhang, Yahua & Zhang, Anming & Wang, Jiaoe, 2020. "Exploring the roles of high-speed train, air and coach services in the spread of COVID-19 in China," Transport Policy, Elsevier, vol. 94(C), pages 34-42.
- Rory Wolfe & William Gould, 1998. "An approximate likelihood-ratio test for ordinal response models," Stata Technical Bulletin, StataCorp LP, vol. 7(42).
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Cited by:
- Magdalena Osińska & Wojciech Zalewski, 2023. "Vulnerability and resilience of the road transport industry in Poland to the COVID-19 pandemic crisis," Transportation, Springer, vol. 50(1), pages 331-354, February.
- Zhou, Huiyu & Wang, Yacan & Huscroft, Joseph R. & Bai, Kailing, 2021. "Impacts of COVID-19 and anti-pandemic policies on urban transport—an empirical study in China," Transport Policy, Elsevier, vol. 110(C), pages 135-149.
- Kamila Urbańska & Agnieszka Parkitna, 2021. "Success of SME enterprises in the era of pandemics," WORking papers in Management Science (WORMS) WORMS/21/03, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
- Kamila Urbanska & Agnieszka Parkitna & Joanna Kubicka, 2021. "Success of SMEs in the Era of Pandemics," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 407-423.
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More about this item
Keywords
COVID-19 pandemic; anti-crisis shield; survey data; logit models.;All these keywords.
JEL classification:
- R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
- L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
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