IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v59y2021icp98-107.html
   My bibliography  Save this article

What is the relationship between government response and COVID-19 pandemics? Global evidence of 118 countries

Author

Listed:
  • Yang, Qi-Cheng
  • Chen, Xia
  • Chang, Chun-Ping
  • Chen, Di
  • Hao, Yu

Abstract

Using daily data of novel coronavirus pneumonia (COVID-19) covering 118 countries from January 1 to April 13, 2021, this research examines the relationship between the government response stringency index (GRSI) and COVID-19 pandemic. The empirical results show that GRSI significantly negatively impacts confirmed cases, and the effects are especially larger around 14 to 21 days after the implementation of the government response. These results are robust through analysis with sub-samples of Asian countries and non-Asian countries, proving that public prevention policies of being isolated for 14 days and being observed for 7 days are effective. The Dumitrescu-Hurlin causality test uncovers a statistically significant bi-directional correlation between government response stringency and COVID-19 pandemic when analyzing the full samples. In terms of the sub-samples, a bi-directional relationship exists between government response stringency and confirmed cases, while one-way causality runs only from government response stringency to deaths in Asian countries. We offer a policy implication that countries all over the world should continue to carry out public prevention policies, and governments in non-Asian countries should be more concerned about confirmed cases.

Suggested Citation

  • Yang, Qi-Cheng & Chen, Xia & Chang, Chun-Ping & Chen, Di & Hao, Yu, 2021. "What is the relationship between government response and COVID-19 pandemics? Global evidence of 118 countries," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 98-107.
    • Handle: RePEc:eee:streco:v:59:y:2021:i:c:p:98-107
    DOI: 10.1016/j.strueco.2021.08.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X21001016
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.strueco.2021.08.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Joakim Westerlund, 2008. "Panel cointegration tests of the Fisher effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 193-233.
    2. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    3. Westerlund, Joakim & Edgerton, David L., 2007. "A panel bootstrap cointegration test," Economics Letters, Elsevier, vol. 97(3), pages 185-190, December.
    4. James H. Stock, 2020. "Data Gaps and the Policy Response to the Novel Coronavirus," NBER Working Papers 26902, National Bureau of Economic Research, Inc.
    5. Dumitrescu, Elena-Ivona & Hurlin, Christophe, 2012. "Testing for Granger non-causality in heterogeneous panels," Economic Modelling, Elsevier, vol. 29(4), pages 1450-1460.
    6. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    7. Kar, Muhsin & NazlIoglu, Saban & AgIr, Hüseyin, 2011. "Financial development and economic growth nexus in the MENA countries: Bootstrap panel granger causality analysis," Economic Modelling, Elsevier, vol. 28(1-2), pages 685-693, January.
    8. Chun-Ping Chang & Li Wan Zhang, 2020. "Do Natural Disasters Increase Financial Risks? An Empirical Analysis," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 23(Special I), pages 61-86, January.
    9. M. Hashem Pesaran, 2015. "Testing Weak Cross-Sectional Dependence in Large Panels," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1089-1117, December.
    10. Francis Teal & Markus Eberhardt, 2010. "Productivity Analysis in Global Manufacturing Production," Economics Series Working Papers 515, University of Oxford, Department of Economics.
    11. Vincenzo Alfano & Salvatore Ercolano, 2020. "The Efficacy of Lockdown Against COVID-19: A Cross-Country Panel Analysis," Applied Health Economics and Health Policy, Springer, vol. 18(4), pages 509-517, August.
    12. Feng, Gen-Fu & Wang, Quan-Jing & Chu, Yin & Wen, Jun & Chang, Chun-Ping, 2021. "Does the shale gas boom change the natural gas price-production relationship? Evidence from the U.S. market," Energy Economics, Elsevier, vol. 93(C).
    13. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    14. Eberhardt, Markus & Teal, Francis, 2008. "Modeling technology and technological change in manufacturing: how do countries differ?," MPRA Paper 10690, University Library of Munich, Germany.
    15. Mingbo Zheng & Gen-Fu Feng & Jun Wen & Chun-Ping Chang, . "The Influence of FDI on Domestic Innovation: An Investigation Using Structural Breaks," Prague Economic Papers, University of Economics, Prague, vol. 0.
    16. Roger Perman & David I. Stern, 2003. "Evidence from panel unit root and cointegration tests that the Environmental Kuznets Curve does not exist," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(3), pages 325-347, September.
    17. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    18. Chien-Chiang Lee & Chun-Ping Chang, 2006. "Social security expenditure and GDP in OECD countries: A cointegrated panel analysis," International Economic Journal, Taylor & Francis Journals, vol. 20(3), pages 303-320.
    19. Mingbo Zheng & Gen-Fu Feng & Jun Wen & Chun-Ping Chang, 2020. "The Influence of FDI on Domestic Innovation: An Investigation Using Structural Breaks," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(4), pages 403-423.
    20. Rahmiye Figen Ceylan & Burhan Ozkan & Esra Mulazimogullari, 2020. "Historical evidence for economic effects of COVID-19," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(6), pages 817-823, August.
    21. Seth Flaxman & Swapnil Mishra & Axel Gandy & H. Juliette T. Unwin & Thomas A. Mellan & Helen Coupland & Charles Whittaker & Harrison Zhu & Tresnia Berah & Jeffrey W. Eaton & Mélodie Monod & Azra C. Gh, 2020. "Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe," Nature, Nature, vol. 584(7820), pages 257-261, August.
    22. Chang, Chun-Ping & Wen, Jun & Zheng, Mingbo & Dong, Minyi & Hao, Yu, 2018. "Is higher government efficiency conducive to improving energy use efficiency? Evidence from OECD countries," Economic Modelling, Elsevier, vol. 72(C), pages 65-77.
    23. Aydin, Mucahit, 2019. "Renewable and non-renewable electricity consumption–economic growth nexus: Evidence from OECD countries," Renewable Energy, Elsevier, vol. 136(C), pages 599-606.
    24. Nina Haug & Lukas Geyrhofer & Alessandro Londei & Elma Dervic & Amélie Desvars-Larrive & Vittorio Loreto & Beate Pinior & Stefan Thurner & Peter Klimek, 2020. "Ranking the effectiveness of worldwide COVID-19 government interventions," Nature Human Behaviour, Nature, vol. 4(12), pages 1303-1312, December.
    25. Ma, Ben, 2015. "Does urbanization affect energy intensities across provinces in China?Long-run elasticities estimation using dynamic panels with heterogeneous slopes," Energy Economics, Elsevier, vol. 49(C), pages 390-401.
    26. Chang, Chun-Ping & Wen, Jun & Dong, Minyi & Hao, Yu, 2018. "Does government ideology affect environmental pollutions? New evidence from instrumental variable quantile regression estimations," Energy Policy, Elsevier, vol. 113(C), pages 386-400.
    27. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    28. Fredriksson, Per G. & Vollebergh, Herman R. J. & Dijkgraaf, Elbert, 2004. "Corruption and energy efficiency in OECD countries: theory and evidence," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 207-231, March.
    29. Eberhardt, Markus & Bond, Stephen, 2009. "Cross-section dependence in nonstationary panel models: a novel estimator," MPRA Paper 17692, University Library of Munich, Germany.
    30. Hakan Yilmazkuday, 2020. "Stay-at-Home Works to Fight Against COVID-19: International Evidence from Google Mobility Data," Working Papers 2008, Florida International University, Department of Economics.
    31. Roemer, M.I. & Roemer, R., 1990. "Global health, national development, and the role of government," American Journal of Public Health, American Public Health Association, vol. 80(10), pages 1188-1192.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. MASUHARA Hiroaki & HOSOYA Kei, 2022. "What Impacts Do Human Mobility and Vaccination Have on Trends in COVID-19 Infections? Evidence from four developed countries," Discussion papers 22087, Research Institute of Economy, Trade and Industry (RIETI).
    2. Lopez-Medoza, Hector & González-Álvarez, Maria A. & Montañés, Antonio, 2023. "Assessing the effectiveness of international government responses to the COVID-19 pandemic," MPRA Paper 117826, University Library of Munich, Germany.
    3. Yang, Qi-Cheng & Zheng, Mingbo & Wang, Jun-Sheng & Wang, Yun-Peng, 2022. "The shocks of armed conflicts to renewable energy finance: Empirical evidence from cross-country data," Energy Economics, Elsevier, vol. 112(C).
    4. Yang, Qi-Cheng & Zheng, Mingbo & Chang, Chun-Ping, 2022. "Energy policy and green innovation: A quantile investigation into renewable energy," Renewable Energy, Elsevier, vol. 189(C), pages 1166-1175.
    5. Lizheng Ma & Congzhi Zhang & Kai Lisa Lo & Xiangyan Meng, 2023. "Can Stringent Government Initiatives Lead to Global Economic Recovery Rapidly during the COVID-19 Epidemic?," IJERPH, MDPI, vol. 20(6), pages 1-16, March.

    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. Wang, Quan-Jing & Wang, Hai-Jie & Chang, Chun-Ping, 2022. "Environmental performance, green finance and green innovation: What's the long-run relationships among variables?," Energy Economics, Elsevier, vol. 110(C).
    2. Singh, Vinay Kumar & Ghosh, Sajal, 2021. "Financial inclusion and economic growth in India amid demonetization: A case study based on panel cointegration and causality," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 674-693.
    3. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    4. Alvarado, Rafael & Tillaguango, Brayan & Murshed, Muntasir & Ochoa-Moreno, Santiago & Rehman, Abdul & Işık, Cem & Alvarado-Espejo, Johana, 2022. "Impact of the informal economy on the ecological footprint: The role of urban concentration and globalization," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 750-767.
    5. BAYAR Yilmaz & AKYUZ Fatma & EREM Isil, 2017. "Openness And Financial Development In Central And Eastern European Countries," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(3), pages 5-16, December.
    6. Yilmaz Bayar & Marius Dan Gavriletea & Dan Constantin Danuletiu & Adina Elena Danuletiu & Emre Sakar, 2022. "Pension Funds, Insurance Companies and Stock Market Development: Evidence from Emerging Markets," Mathematics, MDPI, vol. 10(13), pages 1-13, July.
    7. Tarik Dogru & Umit Bulut & Ercan Sirakaya-Turk, 2021. "Modeling tourism demand: Theoretical and empirical considerations for future research," Tourism Economics, , vol. 27(4), pages 874-889, June.
    8. Bayar, Yilmaz, 2016. "Economic Freedom and Unemployment in Emerging Market Economies," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 11(1), pages 5-12, June.
    9. Adel Ben Youssef & Sabri Boubaker & Anis Omri, 2020. "Financial development and macroeconomic sustainability: modeling based on a modified environmental Kuznets curve," Climatic Change, Springer, vol. 163(2), pages 767-785, November.
    10. Cheng, Yuanyuan & Yao, Xin, 2021. "Carbon intensity reduction assessment of renewable energy technology innovation in China: A panel data model with cross-section dependence and slope heterogeneity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    11. Andrew Adewale Alola & Glory Chiyoru Dike & Uju Violet Alola, 2022. "The Role of Legal System and Socioeconomic Aspects in the Environmental Quality Drive of the Global South," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(2), pages 953-972, September.
    12. Sencer Atasoy, Burak, 2017. "Testing the environmental Kuznets curve hypothesis across the U.S.: Evidence from panel mean group estimators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 731-747.
    13. Iheonu O Chimere & Tochukwu Nwachukwu, 2020. "Macroeconomic determinants of household consumption in selected West African countries," Economics Bulletin, AccessEcon, vol. 40(2), pages 1596-1606.
    14. Usman, Muhammad & Makhdum, Muhammad Sohail Amjad, 2021. "What abates ecological footprint in BRICS-T region? Exploring the influence of renewable energy, non-renewable energy, agriculture, forest area and financial development," Renewable Energy, Elsevier, vol. 179(C), pages 12-28.
    15. Li, Xuelin & Yang, Lin, 2023. "Natural resources, remittances and carbon emissions: A Dutch Disease perspective with remittances for South Asia," Resources Policy, Elsevier, vol. 85(PB).
    16. Iheonu, Chimere & Asongu, Simplice & Odo, Kingsley & Ojiem, Patrick, 2020. "Financial Sector Development and Investment in Selected ECOWAS Countries: Empirical Evidence using Heterogeneous Panel Data Method," MPRA Paper 107102, University Library of Munich, Germany.
    17. Adolfo Maza & Paula Gutiérrez-Portilla, 2022. "Outward FDI and exports relation: A heterogeneous panel approach dealing with cross-sectional dependence," International Economics, CEPII research center, issue 170, pages 174-189.
    18. Taiwo Onifade, Stephen & Gyamfi, Bright Akwasi & Haouas, Ilham & Bekun, Festus Victor, 2021. "Re-examining the roles of economic globalization and natural resources consequences on environmental degradation in E7 economies: Are human capital and urbanization essential components?," Resources Policy, Elsevier, vol. 74(C).
    19. Qiao, Hui & Chen, Siyu & Dong, Xiucheng & Dong, Kangyin, 2019. "Has China's coal consumption actually reached its peak? National and regional analysis considering cross-sectional dependence and heterogeneity," Energy Economics, Elsevier, vol. 84(C).
    20. Amuakwa-Mensah, Franklin & Klege, Rebecca A. & Adom, Philip K. & Amoah, Anthony & Hagan, Edmond, 2018. "Unveiling the energy saving role of banking performance in Sub-Sahara Africa," Energy Economics, Elsevier, vol. 74(C), pages 828-842.

    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:eee:streco:v:59:y:2021:i:c:p:98-107. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/525148 .

    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.