African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6576

Full Length Research Paper

An assessment of the factors influencing household willingness to pay for non-marketed benefit of cattle in the agro-pastoral systems of Mozambique

S. K. Ng’ang’a1,2*, C. Ritho2, J. Nzuma2, S. Moyo1 and M. Herrero1
1International Livestock Research Institute (ILRI), P. O. Box 30709, Nairobi, Kenya. 2Department of Agricultural Economics, University of Nairobi (UoN), P. O. Box 30197, Nairobi, Kenya.
Email: [email protected], [email protected]

  •  Accepted: 09 November 2010
  •  Published: 16 May 2013

Abstract

This study used Probit model to analyze factors influencing probability of household willingness to pay for non-marketed benefits (NBS) of cattle in Mozambique. The primary data from 184 agro-pastoralist households were collected using a structured questionnaire. Data collected comprised information relating to household demographic, household livelihoods and non-marketed benefits of cattle. The result showed that the probability of household willingness to pay (WTP) was influenced by both animal and household related characteristics. Animal related characteristics that had a significant influence on the probability of households WTP for NMB’s of cattle included: Animal age (ANAGE), herd size (HERDSIZE) and cattle breeds (INDBRED). Household related characteristics that had significant (p<0.05) influence on probability of household WTP for NMB’s of cattle, comprised: Dependant ratio (DEPRAT), household size (HHS), off-farm income (OFFINC) and distance to the market (DISTMK). As expected, however, the OFFINC had a negative influence on probability of household WTP for NMB’s of cattle. The study concluded that non-marketed benefits of cattle were highly valued among agro-pastoralist in Mabalane district and thus were willing to pay for them.

 

Key words: Non-marketed benefits, cattle, probit, probability, households, willingness to pay.