Resumen
Cocoa production in Peru has seen remarkable growth in recent years, positioning it as a potential driver for poverty reduction. This study examines the relationship between cocoa cultivation and poverty levels in cocoa-producing regions during the 2008-2019 period. The analysis employs panel data regression models estimated using pooled OLS, fixed effects, and random effects approaches. To address omitted variable bias, control variables, and the Two-Stage Least Squares (2SLS) estimator are incorporated. The results indicate that a 20 % increase in productivity leads to a 0.2 percentage point reduction in poverty rates, while price fluctuations have no significant effect. These findings underscore the importance of policies focused on enhancing cocoa productivity as a means to alleviate poverty.
Título traducido de la contribución | The impact of cocoa cultivation on poverty levels: Regional evidence from Peru, 2008-2019 |
---|---|
Idioma original | Español |
Páginas (desde-hasta) | 53-69 |
Número de páginas | 17 |
Publicación | Desarrollo y Sociedad |
Volumen | 2025 |
N.º | 99 |
DOI | |
Estado | Publicada - 2025 |
Palabras clave
- Agricultural productivity
- econometric models
- panel data
- Peru