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Credit constraints and cropland allocation decisions in rural Burkina Faso

  • University of Ghana
  • Université Ouaga II
  • Asian Institute of Technology

Research output: Contribution to journalArticlepeer-review

38 Citations (Scopus)

Abstract

This paper examined farm households’ cropland allocation decisions under credit constraints in rural Burkina Faso. A fully observed recursive mixed-process model was used to correct for the endogeneity of credit in farm households’ land allocation decisions in a multi-cropping context. Estimating the model with survey data collected in 2011 using the conditional mixed-process estimator, the results showed that credit constraints negatively affect farm households’ decision to allocate land to maize and cotton production in rural Burkina Faso. In contrast, at the expense of maize and cotton, credit constraints encourage farm households to allocate more land to sorghum and millet. The results also showed that socio-demographic characteristics and the use of animal traction significantly determined farm households’ land allocation decisions in rural Burkina Faso.

Original languageEnglish
Pages (from-to)666-674
Number of pages9
JournalLand Use Policy
Volume70
DOIs
Publication statusPublished - Jan 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Burkina Faso
  • Credit constraints
  • Fully observed recursive mixed-process model
  • Land allocation

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