Agricultural productivity and food security of rice producing households: An empirical investigation in Ghana

Rebecca Owusu Coffie

Research output: ThesisDoctoral Thesis

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
LanguageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Award date18 Aug 2017
DOIs
StateUnpublished - 2017

Fingerprint

Household
Ghana
Agricultural productivity
Empirical investigation
Farmers
Food security
Food
Technical efficiency
Rice production
Production frontier
Technological gap
Technical inefficiency
Discrete choice experiment
Policy implications
Technology choice
Productivity
Choice experiment
Inefficiency

Cite this

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title = "Agricultural productivity and food security of rice producing households: An empirical investigation in Ghana",
abstract = "We investigate the level and determinants of technical efficiency in rice production and technology characteristics that drivefarmers' technology choice, using advanced production frontier and discrete choice experiment (CE) models. Data used arefrom a survey of farmers in two regions of Ghana. Bayesian stochastic metafrontler (BMF) approaches are used to decomposeInefficiency into technical and technological gaps. Results showed that inefficiency is the primary driver of low productivity inGhana. The CE model estimates revealed that technology characteristics influence choice and that food insecure farmerspreferred different technologies to food secure farmers. Policy Implications are presented in the thesis.Declaration",
keywords = "Bayesian metafrontier, choice exoeriment, productivity, rice farmers, Food Insecurity, Ghana",
author = "Coffie, {Rebecca Owusu}",
year = "2017",
doi = "10.4225/23/59af416231e6f",
language = "English",
school = "The University of Western Australia",

}

Agricultural productivity and food security of rice producing households: An empirical investigation in Ghana. / Coffie, Rebecca Owusu.

2017.

Research output: ThesisDoctoral Thesis

TY - THES

T1 - Agricultural productivity and food security of rice producing households: An empirical investigation in Ghana

AU - Coffie,Rebecca Owusu

PY - 2017

Y1 - 2017

N2 - We investigate the level and determinants of technical efficiency in rice production and technology characteristics that drivefarmers' technology choice, using advanced production frontier and discrete choice experiment (CE) models. Data used arefrom a survey of farmers in two regions of Ghana. Bayesian stochastic metafrontler (BMF) approaches are used to decomposeInefficiency into technical and technological gaps. Results showed that inefficiency is the primary driver of low productivity inGhana. The CE model estimates revealed that technology characteristics influence choice and that food insecure farmerspreferred different technologies to food secure farmers. Policy Implications are presented in the thesis.Declaration

AB - We investigate the level and determinants of technical efficiency in rice production and technology characteristics that drivefarmers' technology choice, using advanced production frontier and discrete choice experiment (CE) models. Data used arefrom a survey of farmers in two regions of Ghana. Bayesian stochastic metafrontler (BMF) approaches are used to decomposeInefficiency into technical and technological gaps. Results showed that inefficiency is the primary driver of low productivity inGhana. The CE model estimates revealed that technology characteristics influence choice and that food insecure farmerspreferred different technologies to food secure farmers. Policy Implications are presented in the thesis.Declaration

KW - Bayesian metafrontier

KW - choice exoeriment

KW - productivity

KW - rice farmers

KW - Food Insecurity

KW - Ghana

U2 - 10.4225/23/59af416231e6f

DO - 10.4225/23/59af416231e6f

M3 - Doctoral Thesis

ER -