IDEAS home Printed from https://ideas.repec.org/p/mof/wpaper/ron373.html
   My bibliography  Save this paper

Dynamic Relationship between Information Dissemination by Local Governors and Mobility during the COVID-19 Pandemic

Author

Listed:
  • Yasuhiro Hara

    (Visiting Scholar, Policy Research Institute, Ministry of Finance)

Abstract

The COVID-19 pandemic has prompted countries to implement a variety of containment measures, including non-pharmaceutical interventions such as stay-at-home orders. Japan has avoided legally enforcing strict measures such as complete or partial lockdowns, instead relying on voluntary restraint from going out during the state of emergency. We evaluate the impact of information dissemination on people’s mobility. First, we apply the latest findings in natural language processing research to precisely measure the information dissemination effect for each prefecture in Japan. Second, we analyse the dynamic relationship between information dissemination and mobility in each prefecture in Japan using econometric methods. Third, we divide the sample into an early and a later period when the Delta variant emerged in order to analyse the time-varying dynamics of the information effect. Our investigation yields two major findings: First, the stay-at-home information dissemination significantly suppressed people’s mobility. Second, we found a remarkable change in the magnitude of the information effect over time. The information effect weakens after the dominance of the Delta variant compared with the early stage of the pandemic.

Suggested Citation

  • Yasuhiro Hara, "undated". "Dynamic Relationship between Information Dissemination by Local Governors and Mobility during the COVID-19 Pandemic," Discussion papers ron373, Policy Research Institute, Ministry of Finance Japan.
  • Handle: RePEc:mof:wpaper:ron373
    as

    Download full text from publisher

    File URL: https://www.mof.go.jp/pri/research/discussion_paper/ron373.pdf
    File Function: First version, 2016
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Grimmer, Justin & Stewart, Brandon M., 2013. "Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts," Political Analysis, Cambridge University Press, vol. 21(3), pages 267-297, July.
    2. Eduardo Levy Yeyati & Luca Sartorio, 2020. "Take me out: De facto limits on strict lockdowns in developing countries," Department of Economics Working Papers wp_gob_2020_08, Universidad Torcuato Di Tella.
    3. Eduardo Levy Yeyati & Patricio Goldstein & Luca Sartorio, 2021. "Lockdown Fatigue: The Diminishing Effects of Quarantines on the Spread of COVID-19," Growth Lab Working Papers 170, Harvard's Growth Lab.
    4. Eduardo Levi Yeyati & Luca Sartorio, 2020. "Take me out: De facto limits on strict lockdowns in developing countries," Working Papers 15, Red Nacional de Investigadores en Economía (RedNIE).
    5. Patricio Goldstein & Eduardo Levy Yeyati & Luca Sartorio, 2021. "Lockdown fatigue: The diminishing effects of quarantines on the spread of COVID-19," Department of Economics Working Papers wp_gob_2021_01, Universidad Torcuato Di Tella.
    6. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    7. Shivaji Alaparthi & Manit Mishra, 2021. "BERT: a sentiment analysis odyssey," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(2), pages 118-126, June.
    8. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lucas Rosso & Rodrigo Wagner, 2024. "How much does mobility matter for value-added tax revenue? Cross-country evidence around COVID-19," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 31(3), pages 841-855, June.
    2. Jens Klose & Peter Tillmann, 2023. "The stock market and NO2 emissions effects of COVID‐19 around the world," Economics and Politics, Wiley Blackwell, vol. 35(2), pages 556-594, July.
    3. Herwartz, Helmut & Reimers, Hans-Eggert, 2006. "Modelling the Fisher hypothesis: World wide evidence," Economics Working Papers 2006-04, Christian-Albrechts-University of Kiel, Department of Economics.
    4. Bilal Mehmood & Syed Hassan Raza & Mahwish Rana & Huma Sohaib & Muhammad Azhar Khan, 2014. "Triangular Relationship between Energy Consumption, Price Index and National Income in Asian Countries: A Pooled Mean Group Approach in Presence of Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 610-620.
    5. Jean C. Kouam & Simplice Asongu, 2022. "The non-linear effects of fixed broadband on economic growth in Africa," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(5), pages 881-895, August.
    6. Ranjan Aneja & Umer J. Banday & Tanzeem Hasnat & Mustafa Koçoglu, 2017. "Renewable and Non-renewable Energy Consumption and Economic Growth: Empirical Evidence from Panel Error Correction Model," Jindal Journal of Business Research, , vol. 6(1), pages 76-85, June.
    7. Bosker, Maarten & Brakman, Steven & Garretsen, Harry & Schramm, Marc, 2008. "A century of shocks: The evolution of the German city size distribution 1925-1999," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 330-347, July.
    8. Eicher, Theo S. & Schreiber, Till, 2010. "Structural policies and growth: Time series evidence from a natural experiment," Journal of Development Economics, Elsevier, vol. 91(1), pages 169-179, January.
    9. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    10. Neil A. Wilmot & Ariuna Taivan, 2021. "Examining the Impact of Financial Development on Energy Production in Emerging Economies," JRFM, MDPI, vol. 14(2), pages 1-17, February.
    11. Raffaello Bronzini & Paolo Piselli, 2006. "Determinants of long-run regional productivity: the role of R&D, human capital and public infrastructure," Temi di discussione (Economic working papers) 597, Bank of Italy, Economic Research and International Relations Area.
    12. Balázs Égert, 2018. "Regulation, Institutions and Aggregate Investment: New Evidence from OECD Countries," Open Economies Review, Springer, vol. 29(2), pages 415-449, April.
    13. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    14. Balázs Égert, 2016. "Regulation, Institutions, and Productivity: New Macroeconomic Evidence from OECD Countries," American Economic Review, American Economic Association, vol. 106(5), pages 109-113, May.
    15. Kučerová, Zuzana & Pakši, Daniel & Koňařík, Vojtěch, 2024. "Macroeconomic fundamentals and attention: What drives european consumers’ inflation expectations?," Economic Systems, Elsevier, vol. 48(1).
    16. Kolawole Ogundari & Shoichi Ito & Victor O Okoruwa, 2016. "Estimating nutrition-income elasticities in sub-Saharan Africa: implications on health," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(1), pages 59-69, January.
    17. Holmes, Mark J, 2003. "Are the Trade Deficits of Less Developed Countries Stationary?. Evidence for African Countries," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 3(3).
    18. Omaima A.G. Hassan & Peter Romilly, 2018. "Relations between corporate economic performance, environmental disclosure and greenhouse gas emissions: New insights," Business Strategy and the Environment, Wiley Blackwell, vol. 27(7), pages 893-909, November.
    19. Apergis, Nicholas & Payne, James E., 2010. "Energy consumption and growth in South America: Evidence from a panel error correction model," Energy Economics, Elsevier, vol. 32(6), pages 1421-1426, November.
    20. Hwang, Eunju & Shin, Dong Wan, 2015. "Stationary bootstrapping for semiparametric panel unit root tests," Computational Statistics & Data Analysis, Elsevier, vol. 83(C), pages 14-25.

    More about this item

    Keywords

    COVID-19; impulse response analysis; mobility control policy; sentiment analysis; BERT;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mof:wpaper:ron373. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Policy Research Institute (email available below). General contact details of provider: https://edirc.repec.org/data/prigvjp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.