BazEkon - Ruiz Estrada Mario Arturo. How COVID-19 Quarantine(s) Can Generate Poverty?

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Autor

Ruiz Estrada Mario Arturo (Social Security Research Centre (SSRC); University of Economics and Human Sciences in Warsaw; University of Malaya, Malaysia)

Tytuł

How COVID-19 Quarantine(s) Can Generate Poverty?

Źródło

Contemporary Economics, 2021, vol. 15, nr 3, s. 332-338, rys., bibliogr. 7 poz.

Słowa kluczowe

Ubóstwo, COVID-19, Wskaźniki ubóstwa, Rozwój gospodarczy
Poverty, COVID-19, Poverty indicators, Economic development

Uwagi

Klasyfikacja JEL: I32
summ.

Abstrakt

This research paper attempts to show visually how the COVID-19 quarantines can generate massive unemployment, constant expansion of inflation, reduction of the purchasing power parity, and poverty expansion from a multidimensional perspective. This visualization is only possible by creating a new multivariate graphical modeling called "The Multidimensional Poverty Kaleidoscope Graph." The multidimensional poverty kaleidoscope graph is not intended to use a forecasting model in any case. However, its application is not limited to the study of a particular group of countries. It is not constrained by issues about the region or countries interested in applying the multidimensional poverty kaleidoscope graph. There are four primary phases in the implementation of the multidimensional poverty kaleidoscope graph. The first phase is the design of the input-output-table. The second phase is divided into two sections of analysis: the first section of analysis assumes that the COVID-19 quarantine time framework growth rate (Y = Independent variable) impacts directly on our four variables in analysis, such as the inflation growth rate (X1); the unemployment growth rate (X2); purchasing power parity growth rate (X3); the government budget deficit (X4). In the second section of the analysis, the last past four variables in analysis became our dependent variables and directly affected the poverty growth rate (Z). The third phase is the construction of the multidimensional poverty kaleidoscope graph. Finally, the multidimensional poverty kaleidoscope graph was applied to three countries, such as the U.S., Malaysia, and Guatemala. (original abstract)

Pełny tekst

Bibliografia

Gini, C. (2005). On the measurement of concentration and variability of characters. METRON-International Journal of Statistics, 63(1), 1-38.
Ruiz Estrada, M. A. (2011). Policy modeling: Definition, classification and evaluation. Journal of Policy Modeling, 33(4), 523-536. https://doi.org/10.1016/j.jpolmod.2011.02.003
Ruiz Estrada, M. A., & Yap, S. F. (2013). The origins and evolution of policy modeling. Journal of Policy Modeling, 35(1), 170-182. https://doi.org/10.1016/j.jpolmod.2011.12.003
Ruiz Estrada, M. A. (2017). An alternative graphical modeling for economics: Econographicology. Quality & Quantity, 51(5), 2115-2139. https://doi.org/10.1007/s11135-015-0280-3
Ruiz Estrada, M. A., & Park, D. (2018). The past, present and future of policy modeling. Journal of Policy Modeling, 40(1), 1-15. https://doi.org/10.1016/j.jpolmod.2018.01.003
WHO (2020). Database. https://www.who.int/.Accessed on April 15, 2020.
World Bank (2020). Annual report. http://www.wb.org. Accessed on April 1, 2020.

Cytowane przez

ISSN

2084-0845

Język

eng

URI / DOI