IDEAS home Printed from https://ideas.repec.org/p/zbw/diedps/202022.html
   My bibliography  Save this paper

Policy responses to COVID-19: Why social cohesion and social protection matter in Africa

Author

Listed:
  • Leininger, Julia
  • von Schiller, Armin
  • Strupat, Christoph
  • Malerba, Daniele

Abstract

This empirical analysis investigates whether and to what extent social cohesion and the coverage of social protection schemes influence governments' decisions about the stringency of COVID-19 containment policies during the first and second waves in 2020 in Africa. Our results indicate that societal and social factors influenced the stringency of containment policies. Social cohesion has a negative effect on the stringency of containment policies in response to COVID-19 over time. Social protection coverage has a positive effect on the stringency of containment policies in response to COVID-19 over time. States implemented more stringent containment policies in less cohesive societies if they already had social protection schemes in place before the pandemic. Contextual factors mediated these effects. While stringency of containment policies softened over time where levels of democracy, poverty, and inequality were higher, social protection made a mediating difference only in autocratic states and societies with higher poverty. Three contributions of the empirical analysis stand out. First, the conceptual integration of societal and social factors ("societal triangle") provides a novel basis from which to analyse policy responses during external shocks like a global pandemic. Second, to overcome the limitations of current measurements of social cohesion, we use a novel measurement to determine pre-pandemic levels of social cohesion. Third, this is the first cross-national study that addresses a world region, Africa, which has gained little attention in the study of policy responses to the COVID-19 pandemic.

Suggested Citation

  • Leininger, Julia & von Schiller, Armin & Strupat, Christoph & Malerba, Daniele, 2022. "Policy responses to COVID-19: Why social cohesion and social protection matter in Africa," IDOS Discussion Papers 20/2022, German Institute of Development and Sustainability (IDOS).
  • Handle: RePEc:zbw:diedps:202022
    DOI: 10.23661/idp20.2022
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/267729/1/182823138X.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.23661/idp20.2022?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
    ---><---

    References listed on IDEAS

    as
    1. Leininger, Julia & Burchi, Francesco & Fiedler, Charlotte & Mross, Karina & Nowack, Daniel & von Schiller, Armin & Sommer, Christoph & Strupat, Christoph & Ziaja, Sebastian, 2021. "Social cohesion: A new definition and a proposal for its measurement in Africa," IDOS Discussion Papers 31/2021, German Institute of Development and Sustainability (IDOS), revised 2021.
    2. Jay J. Van Bavel & Katherine Baicker & Paulo S. Boggio & Valerio Capraro & Aleksandra Cichocka & Mina Cikara & Molly J. Crockett & Alia J. Crum & Karen M. Douglas & James N. Druckman & John Drury & Oe, 2020. "Using social and behavioural science to support COVID-19 pandemic response," Nature Human Behaviour, Nature, vol. 4(5), pages 460-471, May.
    3. Greene, G. & Paranjothy, S. & Palmer, S.R., 2015. "Resilience and vulnerability to the psychological harm from flooding: The role of social cohesion," American Journal of Public Health, American Public Health Association, vol. 105(9), pages 1792-1795.
    4. Strupat , Christoph & Nshakira-Rukundo, Emmanuel, 2022. "The Impact of Social Assistance Programmes in a Pandemic: Evidence from Kenya," Discussion Papers 320790, University of Bonn, Center for Development Research (ZEF).
    5. Bell, Andrew & Jones, Kelvyn, 2015. "Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data," Political Science Research and Methods, Cambridge University Press, vol. 3(1), pages 133-153, January.
    6. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    7. Francesco Burchi & Armin von Schiller & Christoph Strupat, 2020. "Social protection and revenue collection: How they can jointly contribute to strengthening social cohesion," International Social Security Review, John Wiley & Sons, vol. 73(3), pages 13-32, July.
    8. Toshkov, Dimiter & Yesilkagit, Kutsal & Carroll, Brendan, 2020. "Government Capacity, Societal Trust or Party Preferences? What Accounts for the Variety of National Policy Responses to the COVID-19 Pandemic in Europe?," OSF Preprints 7chpu, Center for Open Science.
    9. Pulejo, Massimo & Querubín, Pablo, 2021. "Electoral concerns reduce restrictive measures during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 198(C).
    10. Nelson, Michael A., 2021. "The timing and aggressiveness of early government response to COVID-19: Political systems, societal culture, and more," World Development, Elsevier, vol. 146(C).
    11. Calain, Philippe & Poncin, Marc, 2015. "Reaching out to Ebola victims: Coercion, persuasion or an appeal for self-sacrifice?," Social Science & Medicine, Elsevier, vol. 147(C), pages 126-133.
    12. Nowack, Daniel & Schoderer, Sophia, 2020. "The role of values for social cohesion: Theoretical explication and empirical exploration," IDOS Discussion Papers 6/2020, German Institute of Development and Sustainability (IDOS).
    13. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    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. Aleksey Oshchepkov & Anna Shirokanova, 2020. "Multilevel Modeling For Economists: Why, When And How," HSE Working papers WP BRP 233/EC/2020, National Research University Higher School of Economics.
    2. Tibor András Marton & Anna Kis & Anna Zubor-Nemes & Anikó Kern & Nándor Fodor, 2020. "Human Impact Promotes Sustainable Corn Production in Hungary," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    3. Parra-Mujica, F. & Robson, M. & Cookson, R., 2021. "Socioeconomic Health Inequalities: Differences Between and Within Individuals," Health, Econometrics and Data Group (HEDG) Working Papers 21/15, HEDG, c/o Department of Economics, University of York.
    4. Kasraian, Dena & Maat, Kees & van Wee, Bert, 2018. "Urban developments and daily travel distances: Fixed, random and hybrid effects models using a Dutch pseudo-panel over three decades," Journal of Transport Geography, Elsevier, vol. 72(C), pages 228-236.
    5. Panarello, Demetrio, 2021. "Economic insecurity, conservatism, and the crisis of environmentalism: 30 years of evidence," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    6. Isabel Neira & Fernando Bruna & Marta Portela & Adela García-Aracil, 2018. "Individual Well-Being, Geographical Heterogeneity and Social Capital," Journal of Happiness Studies, Springer, vol. 19(4), pages 1067-1090, April.
    7. Damien Rousselière, 2019. "A Flexible Approach to Age Dependence in Organizational Mortality: Comparing the Life Duration for Cooperative and Non-Cooperative Enterprises Using a Bayesian Generalized Additive Discrete Time Survi," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 829-855, December.
    8. Adenuga, Adewale Henry & Davis, John & Hutchinson, George & Donnellan, Trevor & Patton, Myles, 2018. "Estimation and determinants of phosphorus balance and use efficiency of dairy farms in Northern Ireland: A within and between farm random effects analysis," Agricultural Systems, Elsevier, vol. 164(C), pages 11-19.
    9. Yana Akhtyrska & Franz Fuerst, 2021. "People or Systems: Does Productivity Enhancement Matter More than Energy Management in LEED Certified Buildings?," Sustainability, MDPI, vol. 13(24), pages 1-35, December.
    10. Chowdhury, Subhasish M. & Crede, Carsten J., 2020. "Post-cartel tacit collusion: Determinants, consequences, and prevention," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    11. Andrew Bell & Kelvyn Jones & Malcolm Fairbrother, 2018. "Understanding and misunderstanding group mean centering: a commentary on Kelley et al.’s dangerous practice," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2031-2036, September.
    12. Jirjahn, Uwe & Mohrenweiser, Jens, 2023. "Variable Payment Schemes and Productivity: Do Individual-Based Schemes Really Have a Stronger Influence than Collective Ones?," IZA Discussion Papers 16267, Institute of Labor Economics (IZA).
    13. Seuring, Till & Serneels, Pieter & Suhrcke, Marc, 2019. "The impact of diabetes on labour market outcomes in Mexico: A panel data and biomarker analysis," Social Science & Medicine, Elsevier, vol. 233(C), pages 252-261.
    14. Hung-Lin Tao, 2019. "Marriage and Happiness: Evidence from Taiwan," Journal of Happiness Studies, Springer, vol. 20(6), pages 1843-1861, August.
    15. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    16. Dummert Sandra & Leber Ute & Schwengler Barbara, 2019. "Unfilled Training Positions in Germany – Regional and Establishment-Specific Determinants," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(4), pages 661-701, August.
    17. Gary R. Pike & Kirsten R. Robbins, 2020. "Using Panel Data to Identify the Effects of Institutional Characteristics, Cohort Characteristics, and Institutional Actions on Graduation Rates," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(4), pages 485-509, June.
    18. Amadou Boly, 2015. "On the Effects of Formalization on Taxes and Wages: Panel Evidence from Vietnam," WIDER Working Paper Series wp-2015-042, World Institute for Development Economic Research (UNU-WIDER).
    19. Hillen, Judith & Fedoseeva, Svetlana, 2021. "E-commerce and the end of price rigidity?," Journal of Business Research, Elsevier, vol. 125(C), pages 63-73.
    20. Nicoletta Batini, 2019. "Macroeconomic Gains from Reforming the Agri-Food Sector: The Case of France," IMF Working Papers 2019/041, International Monetary Fund.

    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:zbw:diedps:202022. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/ditubde.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.