La COVID-19 y su impacto en la pobreza de Ecuador: método de escenarios

Correa-Quezada, Ronny; Álvarez‐García, José; Tituaña-Castillo, María del Cisne

doi:10.22201/fca.24488410e.2020.3039

Cited by 9 publications

(7 citation statements)

References 17 publications

(12 reference statements)

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“…However, this rate increased to 33% in 2020 due to the impact of the pandemic. This demonstrated the decline of a decade in terms of the improvement achieved in Ecuador in the fight against poverty, which had already been forecasted in studies such as those by Correa-Quezada et al (2020) . However, by the end of 2021, the monetary poverty rate decreased to 27.7%, largely due to the country’s economic recovery.…”

Section: Introductionmentioning

confidence: 77%

Regional Analysis of Poverty in Ecuador: Sensitivity to the Choice of Equivalence Scales

2022

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Economies of scale and equivalent consumption units, which are present in households, must be considered in the measurement of monetary poverty, in order to obtain indicators that approximate the reality of each household. Therefore, in this research, monetary poverty in Ecuador is measured and analyzed at the provincial level for the period 2009–2016. It works with data from the National Survey of Employment, Unemployment and Underemployment (ENEMDU) and the INEC methodology is used to measure poverty, but per-capita income is replaced by equivalent income, generated by applying a one-parameter scale (Buhmann et al., 1988) and two two-parameter scales (OECD, 1984; Cutler and Katz, 1992). The main results show that monetary poverty rates are significantly lower when equivalent income is applied, that there is high poverty sensitivity depending on the equivalence scale used and that the provinces with the highest levels of poverty are located in the Amazon region.

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Section: Introductionmentioning

confidence: 77%

Regional Analysis of Poverty in Ecuador: Sensitivity to the Choice of Equivalence Scales

2022

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“…De esta manera, en congruencia con Correa et al (2020), Suryahadi et al (2020), CEPAL (2021b) y el Banco Mundial (2020), el aumento de las variables que aproximan los efectos de la paralización económica, incrementa la probabilidad de ser pobre. Sin embargo, la variable de muertes relacionadas al Covid-19 por 10 mil habitantes es de menor calidad, dado que en Ecuador "se observa un gran subregistro que dista mucho del número reportado" (Sacoto, 2021, p. 58).…”

Section: Resultsunclassified

“…Además, cuando un individuo trabaja en la actividad agrícola, es más propenso a ser pobre que el que se empleada en el sector público o privado (Morán y Lozano, 2018). Correa et al (2020), por medio de la metodología de escenarios, establecieron que en Ecuador, a causa de la pandemia por Covid-19, si los ingresos totales de los hogares se reducen en un 20%, la pobreza por ingreso aumentaría al 34.7%. A nivel regional, la Comisión Económica para América Latina y el Caribe (CEPAL, 2021b) estableció que, a consecuencia de la pandemia, la pobreza por ingreso sería de 33.7%.…”

Section: Pobreza Y Sus Determinantesunclassified

Efectos de la pandemia de Covid-19 en el empobrecimiento por ingreso en Ecuador

Rosero

Mideros

2023

RPD

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La pandemia incrementó la pobreza a nivel mundial. Sin embargo, no se tiene claridad sobre los mecanismos de afectación en sus determinantes. En el presente artículo se estudia este problema utilizando un modelo probabilístico de la pobreza extendido con variables de incidencia de la pandemia, y aplicando una regresión logística a nivel de hogar. Para el caso de Ecuador se utiliza las rondas de diciembre de la Encuesta Nacional de Empleo, Subempleo y Desempleo (ENEMDU) de 2019 y 2020, el registro administrativo del reporte epidemiológico de Covid-19 y el registro administrativo de defunciones. Los resultados muestran que los canales de impacto de la pandemia en pobreza se dieron a través de la brecha de género y la estructura del mercado laboral

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“…Investment in infrastructure, especially in two cities, resulted in a greater concentration of employment and income. In this way, industrial conurbation and infrastructure generated cumulative effects of economic and demographic growth in certain urban areas (Quito and Guayaquil), which an issue that remains to this day (Correa, 2016;Correa-Quezada & Bonilla, 2018). Following this line of research, Torres-Gutiérrez et al ( 2019), in a study on agglomeration economies, suggest that in Ecuador´s cities it is necessary to strengthen diversified local productive structures as a source of innovation and economic growth.…”

Section: State Infrastructure and Its Impact On Growth And Productivitymentioning

confidence: 99%

Social and Economic Infrastructure and Its Relationship With Regional Economic Growth in Ecuador

Álvarez‐García

Correa-Quezada

Torres-Gutiérrez

et al. 2023

IJBS

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In the literature on growth, infrastructure, in addition to other factors, is identified as a determining element in the growth of regions from a long-term perspective. However, there are few studies where the unit of analysis is disaggregated down to the regional level. Therefore, this research aims to explore the importance of infrastructure (social and economic) in the economic growth of Ecuador´s provinces. The methodology used leads to the calculation of a Global Productive Infrastructure Index (GPII) composed of two categories: Social Productive Infrastructure (SIP), and Economic Productive Infrastructure (EPI) (Hansen, 1965). In addition, econometric estimates are made of the relationship between infrastructure and economic growth, the latter measured by the Gross Added Value of each province. The results of the empirical models used indicate that the economic productive infrastructure is essential for the economic growth of Ecuador´s provinces. It is made up of energy infrastructure, transport infrastructure and communications infrastructure, of which the last two are the most representative and affect growth directly. In terms of the disaggregation of indices, it is observed that, in general, the provinces with the highest economic and global index and, therefore, the highest growth are the provinces of Pichincha, Azuay and Guayas.

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La COVID-19 y su impacto en la pobreza de Ecuador: método de escenarios

Cited by 9 publications

References 17 publications

Regional Analysis of Poverty in Ecuador: Sensitivity to the Choice of Equivalence Scales

Regional Analysis of Poverty in Ecuador: Sensitivity to the Choice of Equivalence Scales

Efectos de la pandemia de Covid-19 en el empobrecimiento por ingreso en Ecuador

Social and Economic Infrastructure and Its Relationship With Regional Economic Growth in Ecuador

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