Inefficiency of manual weeding in rainfed rice systems affected by parasitic weeds

Simon Akahoua N'cho, Monique Mourits, Jonne Rodenburg, Alfons Oude Lansink

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Manual weeding is the predominant weed control practice and the most labor-consuming activity in smallholder, rainfed rice systems in sub-Saharan Africa. This study investigates the technical inefficiency of weeding labor, other labor, and overall inputs, and identifies sources of technical inefficiency of weeding labor in the context of parasitic weed infestation. The analysis applies a two-stage approach. First, a directional input distance function DEA approach was used to compute input-specific technical inefficiencies. Second, sources of technical inefficiency of weeding labor were identified using a truncated bootstrap regression. Data from 406 randomly selected smallholder farmers from Benin (n = 215) and Côte d'Ivoire (n = 191) were used. The technical inefficiency of weeding labor was high in both countries (58% in Côte d'Ivoire and 69% in Benin). This implies that a substantial fraction of weeding labor could be saved without reducing rice productivity or increasing the use of other inputs. A decrease in the technical inefficiency of weeding labor with an increase in production scale was observed. In addition, weeding regime and education level were each associated to significant changes in the technical inefficiency of weeding labor.

LanguageEnglish
Pages151-163
Number of pages13
JournalAgricultural Economics (United Kingdom)
Volume50
Issue number2
Early online date23 Dec 2018
DOIs
Publication statusPublished - Mar 2019

Fingerprint

parasitic plants
weed control
labor
rice
Benin
Cote d'Ivoire
Labor
Weeds
Inefficiency
Technical inefficiency
educational status
Sub-Saharan Africa
control methods
farmers

Keywords

  • Bootstrapping
  • C01
  • C02
  • C14
  • C34
  • Data Envelopment Analysis
  • Rice vampire weed
  • Smallholder farming
  • Witchweed

Cite this

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title = "Inefficiency of manual weeding in rainfed rice systems affected by parasitic weeds",
abstract = "Manual weeding is the predominant weed control practice and the most labor-consuming activity in smallholder, rainfed rice systems in sub-Saharan Africa. This study investigates the technical inefficiency of weeding labor, other labor, and overall inputs, and identifies sources of technical inefficiency of weeding labor in the context of parasitic weed infestation. The analysis applies a two-stage approach. First, a directional input distance function DEA approach was used to compute input-specific technical inefficiencies. Second, sources of technical inefficiency of weeding labor were identified using a truncated bootstrap regression. Data from 406 randomly selected smallholder farmers from Benin (n = 215) and C{\^o}te d'Ivoire (n = 191) were used. The technical inefficiency of weeding labor was high in both countries (58{\%} in C{\^o}te d'Ivoire and 69{\%} in Benin). This implies that a substantial fraction of weeding labor could be saved without reducing rice productivity or increasing the use of other inputs. A decrease in the technical inefficiency of weeding labor with an increase in production scale was observed. In addition, weeding regime and education level were each associated to significant changes in the technical inefficiency of weeding labor.",
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Inefficiency of manual weeding in rainfed rice systems affected by parasitic weeds. / N'cho, Simon Akahoua; Mourits, Monique; Rodenburg, Jonne; Oude Lansink, Alfons.

In: Agricultural Economics (United Kingdom), Vol. 50, No. 2, 03.2019, p. 151-163.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Rodenburg, Jonne

AU - Oude Lansink, Alfons

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