Compartir
Título
The use of decomposition methods to understand the economic growth gap between latin america and east asia
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Sustainability
Número de la revista
12
Datos de la obra
Barrado, B., Gimenez, G., y Sanaú, J. (2021). The use of decomposition methods to understand the economic growth gap between latin america and east asia. Sustainability (Switzerland), 13(12). https://doi.org/10.3390/SU13126674
Editor
MDPI
Fecha
2021
Abstract
[EN] Understanding how growth factors contribute to explaining the large differences in growth
rates across countries remains an important research agenda. The common approach to exploring
this issue is based on the use of multiple linear regression analyses. This work contributes to growth
literature by applying a new perspective based on the use of variance decomposition procedures:
Shapley–Owen–Shorrocks and Oaxaca–Blinder. These methodologies have four main advantages
with respect to traditional methodologies: they make possible the quantification of the relative
contribution of each factor to economic growth, they allow us to estimate the efficiency in the use of
the endowments of each factor, they can be used with any functional form and they can be used with
estimation methods that are robust regarding endogeneity issues. We illustrate these advantages by
analyzing the causes of the economic growth gap between Latin America and East Asia over the
period 1980–2014. We find that the economic growth divergence between the two regions can be
primarily explained by the differences in institutions and physical capital. In addition, the results
indicate that the higher East Asian performance is not only due to its higher levels of endowments in
these factors, but also to the higher efficiency in its use. We connect our results with the 2030 Agenda
for Sustainable Development.
Materia
Palabras clave
Peer review
SI
URI
DOI
Versión del editor
Collections
- Untitled [5196]
Files in this item
Tamaño:
387.5
xmlui.dri2xhtml.METS-1.0.size-kilobytes
Formato:
Adobe PDF