Delgado Narro, Augusto Ricardo (2021): COVID-19 with Stigma: New Evidence from Mobility Data and “Go to Travel” Campaign.
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Abstract
This study analyzes the stigma model under the context of COVID-19 by using evidence of the Japanese prefectures and the theoretical model proposed by Katafuchi et al. (2020). The authors propose that people refrain from going out under the declaration of emergency because of a psychological cost, which is composed of two elements: infection risk and a social stigma. In their paper, the stigma works as a force to encourage people to stay at home with the implied purpose of protecting community health. Nevertheless, the new evidence we present, using data of the Go to travel campaign, suggests that the stigma proposed by the authors works when there is a public policy that encourages people to stay at home (emergency state); however, it fails when the public policy encourage human mobility (Go to travel). In other words, the stigma is not independent of the public policy. For this purpose, we use a panel data model with information on prefectural mobility, emergency statement dummy, Go to travel campaign dummy, and COVID-19 daily positive rates of infections.
Item Type: | MPRA Paper |
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Original Title: | COVID-19 with Stigma: New Evidence from Mobility Data and “Go to Travel” Campaign |
English Title: | COVID-19 with Stigma: New Evidence from Mobility Data and “Go to Travel” Campaign |
Language: | English |
Keywords: | COVID-19, Stigma, Self-restraint behavior, Go to Travel |
Subjects: | D - Microeconomics > D6 - Welfare Economics D - Microeconomics > D7 - Analysis of Collective Decision-Making Z - Other Special Topics > Z1 - Cultural Economics ; Economic Sociology ; Economic Anthropology > Z18 - Public Policy |
Item ID: | 106296 |
Depositing User: | Ph.D. Augusto Delgado |
Date Deposited: | 01 Mar 2021 10:08 |
Last Modified: | 01 Mar 2021 10:08 |
References: | Alwazir, E. (2020). World’s Most Vulnerable Countries Lack the Capacity to Respond to a Global Pandemic. Anzai, A. & Nishiura, H. (2021). “Go To Travel” Campaign and Travel-Associated Coronavirus Disease 2019 Cases: A Descriptive Analysis, July–August 2020. Journal of Clinical Medicine, 10(3), 398. Baltagi, B. H. (1984). A Monte Carlo Study for Pooling Time Series of Cross-Section Data in the Simultaneous Equations Model. International Economic Review, 25(3), 603 Chinazzi, M., et al. (2020). The effect of travel restrictions on the spread of the 2019 novel coronavirus (2019-nCoV) outbreak. Google Community Mobility Reports (2020). COVID-19 Community Mobility Reports. https://www.google.com/covid19/mobility/. (Accessed on 11/28/2020). Gutiérrez, P., Clarke, S., & Kirk, A. (2020). Covid world map: which countries have the most coronavirus vaccinations, cases and deaths? |World news | The Guardian. https://www.theguardian.com/world/2021/feb/23/covid-world-map-which-countries-have-the-most-coronavirus-vaccinations-cases-and-deaths. (Accessed on 10/20/2020). International Monetary Fund - IMF (2020). Policy Responses to COVID19. https://www.imf.org/en/Topics/imf-and-covid19/Policy-Responses-to-COVID-19. (Accessed on 02/18/2021). Japan Broadcasting Corporation - NHK (2020). Coronavirus | NHKWORLD-JAPAN News. https://www3.nhk.or.jp/nhkworld/en/news/tags/82/. (Accessed on 12/20/2020). Japan Meteorological Agency (2020). Japan Meteorological Agency | Search past weather data. https://www.data.jma.go.jp/obd/stats/etrn/index.php. (In Japanese, accessed on 11/28/2020). Japan Times (2020). covid-19 in Japan - The Japan Times. https://www.japantimes.co.jp/tag/covid-19-in-japan/. (Accessed on 12/15/2020). Johns Hopkins University (2020). COVID-19 Map - Johns Hopkins Coronavirus Resource Center. https://coronavirus.jhu.edu/map.html. (Accessed on 10/25/2020). Katafuchi, Y. (2020). covid-19_emergency_statement_japan. URL: https://github.com/yuya-katafuchi/covid-19_emergency_statement_japan. Katafuchi, Y., Kurita, K., & Managi, S. (2020). COVID-19 with Stigma: Theory and Evidence from Mobility Data. Economics of Disasters and Climate Change, https://doi.org/10.1007/s41885-020-00077-w. Kraemer, M. U., et al. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. https://doi.org/10.1101/2020.03.02.20026708. Mendolia, S., Stavrunova, O.,&Yerokhin, O. (2020). Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information. IZA Discussion Papers 13778, Institute of Labor Economics (IZA) https://ideas.repec.org/p/iza/izadps/dp13778.html. Mendoza Valero, D. A. & Carranza Jimenez, D. C. (2020). La pandemia que paralizó el mundo hace seis meses y su evolución en Latinoamérica. https://www.aa.com.tr/es/mundo/la-pandemia-que-paraliz%C3%B3-el-mundo-hace-seis-meses-y-su-voluci%C3%B3n-en-latinoam%C3%A9rica/1970823. (Accessed on 10/10/2020). Ministry of Land, Infrastructure, T. & Tourism (2021). Go To Travel Business Official Website for Travelers. https://goto.jata-net.or.jp/. (In Japanese, Accessed on 01/10/2021). Rossman, J. (2020). Why are there so few coronavirus cases in Russia and Africa? https://theconversation.com/why-are-there-so-few-coronavirus-cases-in-russia-and-africa-133591. (Accessed on 10/15/2020). Yabe, T., Tsubouchi, K., Fujiwara, N., Wada, T., Sekimoto, Y., & Ukkusuri, S. V. (2020). Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic. Scientific Reports, 10(1), 18053, https://doi.org/10.1038/s41598-020-75033-5. Yoo, S. & Managi, S. (2020). Global mortality benefits of COVID-19 action. Technological Forecasting and Social Change, 160, 120231, https://doi.org/10.1016/j.techfore.2020.120231. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/106296 |