International Journal of Physical and Social Sciences
  • Year: 2014
  • Volume: 4
  • Issue: 4

Assessment of farmers’ Willingness to pay for Demand-Driven extension services in Niger State, Nigeria

  • Author:
  • S. I. Umar, R. S. Olaleye, B. O. Adeniji, J. N. Nmadu
  • Total Page Count: 11
  • Page Number: 374 to 384

Department of Agricultural Economics & Extension Technology, Federal University of Technology, Minna, Niger State, Nigeria

Online published on 5 June, 2014.

Abstract

The study examined farmers’ willingness to pay for demand-driven extension services in Niger State, Nigeria. To achieve the study objectives, multi-stage sampling techniquewas used to select 377 respondents for the study. Validated interview schedule was used to collect relevant data. Data collected were analyzed using both descriptive and inferential statistics. Result of the study shows that the mean amount of the respondents’ willingness to pay for extension services per year was 14,991. Farm size, degree of commercialization of crop enterprise and farm income had significant positive effect on farmers'willingness to pay for demand-drivenextension services. Finding indicates thatmost(81.2%) of the respondents werewilling to pay for demand-driven extension services in cash. In addition, the study reveals thatmajority of the respondents were willing to pay more for agricultural information on processing and storage technologies.Furthermore, Increase yield and incomewas indicated as the reason for willingness to pay for demand-driven extension services by most of the respondents. It was therefore recommended thatsince both farm size and degree of commercialization of crop enterprise influenced farmers’ willingness to pay, demand-driven extension service providers should target high value cash crops farmers more, who have large farms and are capable of spreading the service cost across a broader income base. Also, to take advantage of the existing demand, the service providers should package their services in a logical manner to adequately train farmers on post-harvest technologies to enable them produce farm products that will meet buyers’ preference for maximum profit.