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Adoption and welfare impacts of multiple agricultural technologies: evidence from eastern Zambia
Author(s) -
Khonje Makaiko G.,
Manda Julius,
Mkandawire Petros,
Tufa Adane Hirpa,
Alene Arega D.
Publication year - 2018
Publication title -
agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.29
H-Index - 82
eISSN - 1574-0862
pISSN - 0169-5150
DOI - 10.1111/agec.12445
Subject(s) - endogeneity , economics , welfare , selection bias , multinomial logistic regression , agriculture , poverty , public economics , panel data , multinomial probit , agricultural economics , survey data collection , econometrics , economic growth , geography , archaeology , market economy , medicine , statistics , mathematics , pathology , machine learning , probit model , computer science
Using plot level panel data and multinomial endogenous switching regression, this article analyzes the adoption and welfare impacts of multiple agricultural technologies in eastern Zambia. We adapt a multinomial endogenous switching/treatment effect regression framework to correct for selection bias and endogeneity originating from both observed and unobserved heterogeneity. Results indicate that joint adoption of multiple agricultural technologies had greater impacts on crop yields, household incomes, and poverty than the adoption of individual components of the technology package. Our findings suggest that efforts aimed at raising household incomes and reducing poverty should focus on promoting the adoption of multiple agricultural technologies through provision of improved support services such as extension and input supply.