Canton growth in Ecuador and the role of spatial heterogeneity
Bibliographic Data
| ID | 11650855 |
|---|---|
| Authors | Nicola Pontarollo (0000-0001-8498-0840), Rodrigo Mendieta Muñoz (0000-0001-8040-9305), Rodrigo Mendieta, Diego Danny Ontaneda Jiménez (0000-0003-2601-2782), Diego Ontaneda |
| Year | 2020 |
| Volume | 2019 |
| Issue | 129 |
| Pages | 149-174 |
| Publication date | 2020-05-20 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | CEPAL review (JOURNAL) |
| Journal identifiers | ISSN: 0251-2920 • E-ISSN: 1684-0348 |
| Publisher | United Nations Publications (PUBLISHER • US) |
| DOI | 10.18356/abe89742-en |
| OpenAlex | W3034319992 |
| Language | EN |
| Citations received | 1 |
| References cited | 27 |
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
Cartography · Convergence (economics · Econometrics · Economic geography · Economic growth · Economics · Geography · Human capital · Per capita · Population · Romer · Spatial econometrics · Spatial heterogeneity · Demography · Fiscal Policy and Economic Growth · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis
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| Unique citing works | 1 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |