Abstract
We investigate the level and determinants of technical efficiency in rice production and technology characteristics that drive
farmers' technology choice, using advanced production frontier and discrete choice experiment (CE) models. Data used are
from a survey of farmers in two regions of Ghana. Bayesian stochastic metafrontler (BMF) approaches are used to decompose
Inefficiency into technical and technological gaps. Results showed that inefficiency is the primary driver of low productivity in
Ghana. The CE model estimates revealed that technology characteristics influence choice and that food insecure farmers
preferred different technologies to food secure farmers. Policy Implications are presented in the thesis.
Declaration
farmers' technology choice, using advanced production frontier and discrete choice experiment (CE) models. Data used are
from a survey of farmers in two regions of Ghana. Bayesian stochastic metafrontler (BMF) approaches are used to decompose
Inefficiency into technical and technological gaps. Results showed that inefficiency is the primary driver of low productivity in
Ghana. The CE model estimates revealed that technology characteristics influence choice and that food insecure farmers
preferred different technologies to food secure farmers. Policy Implications are presented in the thesis.
Declaration
| Original language | English |
|---|---|
| Qualification | Doctor of Philosophy |
| Awarding Institution |
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| Supervisors/Advisors |
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| Award date | 18 Aug 2017 |
| DOIs | |
| Publication status | Unpublished - 2017 |
Access to Document
- THESIS - DOCTOR OF PHILOSOPHY - COFFIE Rebecca Owusu - 2017
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