Growth, Clusters, and Convergence in Ecuador: 1993–2011

Ramón-Mendieta, Marlon G.; Ochoa‐Moreno, Wilman‐Santiago; Ochoa-Jimenez, Diego

doi:10.1007/978-3-642-39674-8_14

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…This analysis differs from previous contributions (Mendieta Muñoz, 2015;Ramón-Mendieta, Ochoa-Moreno and Ochoa-Jiménez, 2013;Mendieta Muñoz and Pontarollo, 2016;Szeles and Mendieta Muñoz, 2016) in that it estimates the conditional b-convergence model using spatial filters, an econometric technique that allows instability of parameters to be taken into account. Therefore, it is not necessary to assume, as in previous studies, that all cantons respond in a similar manner to the factors that determine growth.…”

Section: Discussionmentioning

confidence: 82%

Canton growth in Ecuador and the role of spatial heterogeneity

Pontarollo¹,

Mendieta²,

Ontaneda³

2020

CEPAL Review

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This paper identifies the determinants of per capita gross value added (GVA) growth in Ecuador during the 2007-2015 period, using a spatial extension of the Mankiw, Romer and Weil (MRW) model. Because as a country Ecuador is characterized by deep territorial socioeconomic imbalances, estimates using classical techniques that measure average or "global" effects would not be as justifiable and would have limited political implications. Accordingly, this study uses a spatial filtering technique, which is a recent evolution of geographically weighted regression (GWR), to account for the spatial heterogeneity of the coefficients of a growth regression that explicitly considers both physical and human capital. The results show that Ecuadorian cantons have a wide range of convergence rates and that the effect of physical and human capital varies across space.

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Section: Discussionmentioning

confidence: 82%

Canton growth in Ecuador and the role of spatial heterogeneity

Pontarollo¹,

Mendieta²,

Ontaneda³

2020

CEPAL Review

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“…Entre las que presentan los valores más altos del IPE durante el período de análisis, Pichincha, junto con Guayas y Tungurahua, forman parte del grupo de provincias con mayor desarrollo económico (Mendieta Muñoz et al, 2015). Estas provincias se han beneficiado tradicionalmente de mejores oportunidades de acceso a la educación y de un sistema educativo de mejor calidad (Ramón-Mendieta et al, 2013).…”

Section: Discussionunclassified

La educación como factor determinante del desarrollo humano: Una aproximación al caso de Ecuador en el contexto de América Latina y el Caribe

Cedeño Menéndez

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Education as a dimension of human development: A Provincial-level Education Index for Ecuador

et al. 2022

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This article deepens in the differences in educational development between the Ecuadorian provinces and in their evolution over time by estimating the Provincial-level Education Index. This index is built using the micro-databases of the two latest rounds of the Ecuador`s Living Standards Measurement Survey (2005–2006 and 2013–2014). The results show an overall increase in the educational development of the Ecuadorian provinces, as well as a slight reduction in inequality. However, differences between them continue to exist. Underlying our results, which are consistent with the provincial production structure and socioeconomic context, some public policies seem to affect the educational sector, as their impact has been evidenced during the period covered in this research.

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Growth, Clusters, and Convergence in Ecuador: 1993–2011

Cited by 5 publications

References 8 publications

Canton growth in Ecuador and the role of spatial heterogeneity

Canton growth in Ecuador and the role of spatial heterogeneity

La educación como factor determinante del desarrollo humano: Una aproximación al caso de Ecuador en el contexto de América Latina y el Caribe

Education as a dimension of human development: A Provincial-level Education Index for Ecuador

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