Impact of infestation by parasitic weeds on rice farmers' productivity and technical efficiency in sub-Saharan Africa

A.S. N'cho, M.C.M. Mourits, Matty Demont, P. Adegbola, A.G.J.M. Oude Lansink

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Rice production is crucial for food security and income generation in sub-Saharan Africa. However,
productivity and technical efficiency levels in rice production systems are severely constrained by
biotic constraints such as parasitic weeds. This paper assesses the impact of infestation by parasitic
weeds on rice farmers’ technical efficiency and examines the potential role of managerial factors in
improving technical efficiency. Household and field survey data were collected from rice farmers in
Cote d’Ivoire and Benin in West Africa. A stochastic frontier production function was estimated,
which allows for identifying the levels of exogenous factors that prevent farmers from improving
technical efficiency levels. The results suggest that farmers cope with parasitic weeds through
learning from experiencing infestations by parasitic weed. The results will assist national extension
in designing segmented training programmes that are better tailored to rice farmers’ needs and
preventing food security from being jeopardised by parasitic weeds.
Original languageEnglish
Pages (from-to)35-50
JournalAfrican Journal of Agricultural and Resource Economics
Volume12
Issue number1
Publication statusPublished - 2017

Fingerprint

Plant Weeds
parasitic plants
Africa South of the Sahara
Sub-Saharan Africa
farmers
rice
Food Supply
food security
Benin
Western Africa
production functions
education programs
households
production technology
income
Oryza
Farmers
Weeds
Technical efficiency
Productivity

Keywords

  • rain-fed rice; parasitic weeds; sub-Saharan Africa; stochastic frontier model; technical

Cite this

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title = "Impact of infestation by parasitic weeds on rice farmers' productivity and technical efficiency in sub-Saharan Africa",
abstract = "Rice production is crucial for food security and income generation in sub-Saharan Africa. However,productivity and technical efficiency levels in rice production systems are severely constrained bybiotic constraints such as parasitic weeds. This paper assesses the impact of infestation by parasiticweeds on rice farmers’ technical efficiency and examines the potential role of managerial factors inimproving technical efficiency. Household and field survey data were collected from rice farmers inCote d’Ivoire and Benin in West Africa. A stochastic frontier production function was estimated,which allows for identifying the levels of exogenous factors that prevent farmers from improvingtechnical efficiency levels. The results suggest that farmers cope with parasitic weeds throughlearning from experiencing infestations by parasitic weed. The results will assist national extensionin designing segmented training programmes that are better tailored to rice farmers’ needs andpreventing food security from being jeopardised by parasitic weeds.",
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Impact of infestation by parasitic weeds on rice farmers' productivity and technical efficiency in sub-Saharan Africa. / N'cho, A.S.; Mourits, M.C.M.; Demont, Matty; Adegbola, P.; Oude Lansink, A.G.J.M.

In: African Journal of Agricultural and Resource Economics, Vol. 12, No. 1, 2017, p. 35-50.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Impact of infestation by parasitic weeds on rice farmers' productivity and technical efficiency in sub-Saharan Africa

AU - N'cho, A.S.

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AU - Oude Lansink, A.G.J.M.

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AB - Rice production is crucial for food security and income generation in sub-Saharan Africa. However,productivity and technical efficiency levels in rice production systems are severely constrained bybiotic constraints such as parasitic weeds. This paper assesses the impact of infestation by parasiticweeds on rice farmers’ technical efficiency and examines the potential role of managerial factors inimproving technical efficiency. Household and field survey data were collected from rice farmers inCote d’Ivoire and Benin in West Africa. A stochastic frontier production function was estimated,which allows for identifying the levels of exogenous factors that prevent farmers from improvingtechnical efficiency levels. The results suggest that farmers cope with parasitic weeds throughlearning from experiencing infestations by parasitic weed. The results will assist national extensionin designing segmented training programmes that are better tailored to rice farmers’ needs andpreventing food security from being jeopardised by parasitic weeds.

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