Convergence among public policies: A consumption chain approach to overcome the economic recession caused by COVID19

Abstract

The highest amount of companies stablished in the country are microbusinesses, which are especially vulnerable to economic recession environments. Because of an imminent recession caused by the containment measures for the pandemic of the SARS-Cov-2 virus, the present work proposes a model that aloud to estimate an increase in the profitability of each participant in a consumption chain of retail stores through a marginal effect traceable in the revenues of the diverse participant, based in the data available in the Monthly Survey of Commercial Companies which can be used as basis to design public policies for recovery after the pandemic. (English) [ABSTRACT FROM AUTHOR] La mayor cantidad de empresas establecidas en México son microempresas, las cuales son unidades de negocio especialmente vulnerables a entornos de recesión económica. Debido a un inminente escenario de recesión económica generado por las medidas de contención de la pandemia del virus SARSCov-2, se propone un modelo para incrementar la rentabilidad de cada participante de la cadena de consumo de comercios minoristas mediante un efecto marginal trazable en los ingresos de los distintos participantes, con base en datos de la Encuesta Mensual sobre Empresas Comerciales, lo cual puede ser útil para diseñar políticas públicas de apoyo a la recuperación pos-pandemia. (Spanish) [ABSTRACT FROM AUTHOR] Copyright of Revista Internacional de Investigación en Ciencias Sociales is the property of Universidad Autonoma de Asuncion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)