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Response to the COVID-19: Understanding implications of government lockdown policies

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  • Kumar, Anand
  • Priya, Bhawna
  • Srivastava, Samir K.

Abstract

The rising number of COVID-19 cases and economic implications of lockdown measures indicate the tricky balancing act policy makers face as they implement the subsequent phases of 'unlock'. We develop a model to examine how lockdown and social distancing measures have influenced the behavioral conduct of people. The current situation highlights that policy makers need to focus on bringing awareness and social restraint among people rather than going for stringent lockdown measures. We believe this work will help the policy makers gain insights into the troubled COVID-19 times ahead, and based on the estimates, they can frame policies to navigate these wild waves in the best possible way.

Suggested Citation

  • Kumar, Anand & Priya, Bhawna & Srivastava, Samir K., 2021. "Response to the COVID-19: Understanding implications of government lockdown policies," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 76-94.
    • Handle: RePEc:eee:jpolmo:v:43:y:2021:i:1:p:76-94
    DOI: 10.1016/j.jpolmod.2020.09.001
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    References listed on IDEAS

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    Cited by:

    1. Aziz N. Berdiev & Rajeev K. Goel & James W. Saunoris, 2022. "Do disease epidemics force economic activity underground? International evidence," Contemporary Economic Policy, Western Economic Association International, vol. 40(2), pages 263-282, April.
    2. Madanjit Singh & Amardeep Singh & Sarveshwar Bharti & Prithvipal Singh & Munish Saini, 2022. "Using Social Media Analytics and Machine Learning Approaches to Analyze the Behavioral Response of Agriculture Stakeholders during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(23), pages 1-18, December.
    3. Radeef Chundakkadan & Subash Sasidharan, 2022. "Monetary Policy Announcement and Stock Returns - Evidence From Long-Term Repo Operations in India," Asian Economics Letters, Asia-Pacific Applied Economics Association, vol. 3(2), pages 1-6.
    4. Jaewon Lee & Jennifer Allen & Hyejung Lim & Gyuhyun Choi & Jiyu Jung, 2021. "The Role of a Mentorship Program on the Relationship between Neglect and Depression among Adolescents in Low-Income Families," IJERPH, MDPI, vol. 18(13), pages 1-10, June.
    5. Bonfiglio, Andrea & Coderoni, Silvia & Esposti, Roberto, 2022. "Policy responses to COVID-19 pandemic waves: Cross-region and cross-sector economic impact," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 252-279.
    6. Goel, Rajeev K. & Nelson, Michael A. & Goel, Viraat Y., 2021. "COVID-19 vaccine rollout—scale and speed carry different implications for corruption," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 503-520.
    7. Giammetti, Raffaele & Papi, Luca & Teobaldelli, Désirée & Ticchi, Davide, 2022. "The optimality of age-based lockdown policies," Journal of Policy Modeling, Elsevier, vol. 44(3), pages 722-738.
    8. Alfano, Vincenzo & Guarino, Massimo, 2023. "The effect of self-esteem on the spread of a pandemic. A cross-country analysis of the role played by self-esteem in the spread of the COVID-19 pandemic," Social Science & Medicine, Elsevier, vol. 324(C).
    9. Alfano, Vincenzo & Ercolano, Salvatore & Pinto, Mauro, 2022. "Fighting the COVID pandemic: National policy choices in non-pharmaceutical interventions," Journal of Policy Modeling, Elsevier, vol. 44(1), pages 22-40.

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    More about this item

    Keywords

    COVID-19; Policy implications; System dynamics; Causal loop diagram; SEIR model;
    All these keywords.

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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