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Using Spatial Patterns of COVID-19 to Build a Framework for Economic Reactivation

Author

Listed:
  • Renato Quiliche

    (Facultad de Ingeniería, Universidad del Pacífico, Lima 150113, Peru)

  • Rafael Rentería-Ramos

    (Escuela de Ciencias Básicas, Tecnologías e Ingenierías, Universidad Nacional Abierta y a Distancia, Bogotá 110311, Colombia)

  • Irineu de Brito Junior

    (Environmental Engineering Department, Sao Paulo State University, Sao Jose dos Campos 12247-004, Brazil
    Graduate Program in Logistics Systems Engineering, Sao Paulo University, Sao Paulo 05508-060, Brazil)

  • Ana Luna

    (Facultad de Ingeniería, Universidad del Pacífico, Lima 150113, Peru)

  • Mario Chong

    (Facultad de Ingeniería, Universidad del Pacífico, Lima 150113, Peru)

Abstract

In this article, we propose an application of humanitarian logistics theory to build a supportive framework for economic reactivation and pandemic management based on province vulnerability against COVID-19. The main research question is which factors are related to COVID-19 mortality between Peruvian provinces? We conduct a spatial regression analysis to explore which factors determine the differences in COVID-19 cumulative mortality rates for 189 Peruvian provinces up to December 2020. The most vulnerable provinces are characterized by having low outcomes of long-run poverty and high population density. Low poverty means high economic activity, which leads to more deaths due to COVID-19. There is a lack of supply in the set of relief goods defined as Pandemic Response and Recovery Supportive Goods and Services (PRRSGS). These goods must be delivered in order to mitigate the risk associated with COVID-19. A supportive framework for economic reactivation can be built based on regression results and a delivery strategy can be discussed according to the spatial patterns that we found for mortality rates.

Suggested Citation

  • Renato Quiliche & Rafael Rentería-Ramos & Irineu de Brito Junior & Ana Luna & Mario Chong, 2021. "Using Spatial Patterns of COVID-19 to Build a Framework for Economic Reactivation," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10092-:d:631975
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    References listed on IDEAS

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    1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Louis-Philippe Beland & Abel Brodeur & Derek Mikola & Taylor Wright, 2020. "COVID-19, Occupation Tasks and Mental Health in Canada," Carleton Economic Papers 20-07, Carleton University, Department of Economics, revised 30 Jun 2020.
    3. Gutjahr, Walter J. & Fischer, Sophie, 2018. "Equity and deprivation costs in humanitarian logistics," European Journal of Operational Research, Elsevier, vol. 270(1), pages 185-197.
    4. Louis‐Philippe Beland & Abel Brodeur & Derek Mikola & Taylor Wright, 2022. "The short‐term economic consequences of COVID‐19: Occupation tasks and mental health in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 214-247, February.
    5. Crandall, Mindy S. & Weber, Bruce A., 2004. "Local Social And Economic Conditions, Spatial Concentrations Of Poverty, And Poverty Dynamics," Working Papers 18916, Oregon State University, Rural Poverty Research Center (RPRC).
    6. Zeckhauser, Richard J, 1996. "The Economics of Catastrophes," Journal of Risk and Uncertainty, Springer, vol. 12(2-3), pages 113-140, May.
    7. Dadan Wardhana & Rico Ihle & Wim Heijman, 2017. "Agro-clusters and Rural Poverty: A Spatial Perspective for West Java," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 53(2), pages 161-186, May.
    8. Hugo T. Y. Yoshizaki & Irineu de Brito Junior & Celso Mitsuo Hino & Larrisa Limongi Aguiar & Maria Clara Rodrigues Pinheiro, 2020. "Relationship between Panic Buying and Per Capita Income during COVID-19," Sustainability, MDPI, vol. 12(23), pages 1-14, November.
    9. Robert S. Pindyck & Neng Wang, 2013. "The Economic and Policy Consequences of Catastrophes," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 306-339, November.
    10. Daron Acemoglu & Victor Chernozhukov & Ivàn Werning & Michael D. Whinston, 2020. "A Multi-Risk SIR Model with Optimally Targeted Lockdown," CeMMAP working papers CWP14/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    12. Wardhana, Dadan & Ihle, Rico & Heijman, Wim, 2017. "The Effects of Agro-clusters on Rural Poverty: A Spatial Perspective for West Java," 2017 ASAE 9th International Conference, January 11-13, Bangkok, Thailand 284884, Asian Society of Agricultural Economists (ASAE).
    13. Rebecca K Fielding-Miller & Maria E Sundaram & Kimberly Brouwer, 2020. "Social determinants of COVID-19 mortality at the county level," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-11, October.
    14. Mindy S. Crandall & Bruce A. Weber, 2004. "Local Social and Economic Conditions, Spatial Concentrations of Poverty, and Poverty Dynamics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1276-1281.
    15. Montoro, Carlos & Pérez, Fernando & Herrada, Rafael, 2020. "Medidas del BCRP frente a la pandemia del nuevo coronavirus," Revista Moneda, Banco Central de Reserva del Perú, issue 182, pages 10-18.
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