Dynamics of multiple sustainable agricultural intensification practices adoption: Application of the intertemporal multivariate probit model

Publication Type

Journal Article

Journal Name

PLoS ONE

Name of Author

Ali Mohammed Oumer, The University of Western Australia
Michael Burton, The University of Western Australia
Menale Kassie, International Centre of Insect Physiology and Ecology Nairobi

Publication Date

2-1-2025

Abstract

Applying an intertemporal multivariate probit model, we reveal complex complementarity and substitution effects as well as new insights on the drivers of adopting input-intensive and natural resource management (NRM) practices in rural Ethiopia. First, the latent factor that drives each practice is positively and significantly correlated across time, suggesting persistency in adoption decisions. Second, the significant synergies and tradeoffs between the input-intensive and NRM practices underscore that these practices are highly compatible and, hence the importance of promoting technology packages. Third, the covariates that drive adoption significantly differ between practices, reflecting the heterogeneity in farmer behavior. Farm size was associated with the adoption of several input-intensive and NRM practices while off-farm income has the reverse effect. These findings have significant implications for food security policy in sub-Saharan Africa.

PubMed ID

39919062

Recommended Citation

Oumer, A., Burton, M., & Kassie, M. (2025). Dynamics of multiple sustainable agricultural intensification practices adoption: Application of the intertemporal multivariate probit model. PLoS ONE, 20 (2 February) https://doi.org/10.1371/journal.pone.0314172