Buccola, J.T. (author), Orden, D. (author), and University of Minnesota, Dept. of Agricultural and Applied Economics.; University of Minnesota, Dept. of Agricultural and Applied Economics.
Format:
Journal article
Publication Date:
1980
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 52 Document Number: C00632
11 pages, This study examined village extension agent’s access and use of information and communication technology in extension services delivery to farmers in Plateau State, Nigeria. The population for the study consisted of all the village extension agents (VEAs) of the Plateau Agricultural Development Program (PADP) in the central agricultural zone of the state. Multistage sampling technique was employed in selecting the respondents for the study. Primary data were collected through the administration of questionnaires and interview techniques and were analyzed using descriptive and inferential statistics. Findings from the study shows that majority (77%) of the sampled village extension agents (VEAs) were males with a mean age of 43 years, Majority (87%) of the respondents were married with a mean household size of 4 persons. The study also showed that majority (80%) of the VEAs had tertiary education with a mean working experience of 13 years and average monthly income of ₦64875. The result also shows that four (4) out of the seven (7) listed ICT facilities were adjudged the ICT facilities accessible to VEAs in the study area having had mean values above the discriminating index (x̅ =2.50). They included; GSM (phone) (x̅ =3.94), radio (x̅ = 2.83), television (x̅ = 2.73) and computer (x̅ = 2.68). Based on 2.50 discriminating index, only two out of seven listed conventional ICT facilities had mean values above the discriminating index (x̅ 2.50) and thus were adjudged the ICT facilities used by VEAs. The GSM (phone) had the highest mean value of 3.62 followed by radio with mean value of 2.54. The logit regression result shows that coefficients of years of working experience and monthly income were significant and positively related to ICT use, while age and complexity in use of ICT were significant and negatively related to ICT use. Major constraints to use of ICT by VEAs includes; lack of administrative support in provision of ICT (87%), lack of in-service training on ICT use (66%), Poor salary/remuneration (64%), lack of awareness of ICT importance in extension (56%) among others. The study recommends intervention, serious synergy, and proactive response on the part of the government, non-governmental organization,s and extension organizations in ICT provision and training of VEAs on ICT use as well as stepping up campaigns on the importance of ICT use in agricultural extension delivery.
12 pages., The study reported on in this paper investigated smallholder farmers’ access to extension services. The study sought to distinguish the varying degrees of access to services of smallholder farmers engaged in different production systems, that is, home gardening, field cropping, and livestock production. The study was conducted in Raymond Mhlaba Local Municipality in the Eastern Cape, specifically in two communities, namely Ngcabasa and Phathikhala villages. Research activities included a survey of 100 farmers as well as focus group discussions. Employing logistic regression analysis, the study aimed to understand what influences whether or not a smallholder farmer accesses extension. The study also used various types of comparative statistics (T-test) to assess the implications of access to extension support, for instance for production and farm income. The main findings of the study were that 68% of the farming households interviewed in Ngcabasa and 71% of those in Phathikhala had access to extension services. Farmers who had access to extension had more farm income in both enterprises compared to those who had no access to extension services. From the regression analysis, farmers who were more likely to receive extension support appeared to be those who were older, those with less education, and those farming with livestock.
