9 pages, This study assessed crop farmers’ willingness to pay for AESs and identified factors influencing their willingness to pay for AESs. Data were collected from 292 randomly selected crop farmers’ households between December 2017 and February 2018 using a questionnaire through face-to-face interviews. Data were analyzed using frequency counts, percentages and Tobit regression model. The study found that 92% of the respondents are willing to pay for AESs. It was also found that farmer’s age, education attainment, farming experience, distance from farm to the nearest important road, income (both farm and nonfarm) and attitude towards AESs are significant determinants of farmers willingness to pay for AESs. The study recommends that these variables be given proper policy consideration by the government and other stakeholders in the design and the implementation of a workable fashion of privatizing extension services for the expected impact of improving extension services and farmers’ productivity hence improved quality of life.
8 pages, The study examined the impact of climate change and extension service on rice farmers' yield in Ebonyi State, Nigeria. A total of 402 rice farmers were sampled through multi-stage sampling for questionnaire administration. Primary data collected were analyzed using mean, frequency, percentage, ordinary least square multiple regression techniques, the Local Average Treatment Effect (LATE) model, and the probit model. Socio-economic characteristics show that a greater proportion of the farmers were male (51.7%), married (84.1%), and attended secondary education (47.8%). Sources of climate change information were farmer-to-farmer (100%), telephone/mobile phone (98.5%), radio (92.5%), workshop/seminars (73.4%), and television (46.8%). Temperature (P<-0.01), rainfall (P<-0.01), evaporation rate (P<-0.01), and severe windstorm (P<-0.01) influenced rice yield negatively, while relative humidity (P<0.05) and atmospheric pressure (P<0.01) had a positive influence on rice yield. The results from the LATE model, which measures the average effect of a treatment on the treated, show a decrease in rice yields of 84.1% and 96.5%. Production constraints felt by rice farmers include high cost of input materials (100%), inadequate capital (100%), high cost of labor (99.8%), poor extension access and service (99.5%), and Fulani-herdsmen conflict (76.9%). The study recommends rice farmers implement climate-smart agriculture to mitigate climate change and access farm information and/or services from experienced farmers.
