Impact of climate change and extension service on rice farmers' yield in Ebonyi State, Nigeria

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Vol. 8 No. 2 (2024)
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Articles

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OSUJI EMEKA EMMANUEL ♥
Department of Agriculture, Alex Ekwueme Federal University. P.M.B 1010 Abakaliki, Ebonyi State, Nigeria
BEN-CHENDO GLORY NKIRUKA
Department of Agricultural Economics, Federal University of Technology. Owerri, Imo State, Nigeria
OSUJI MARYANN NNENNA
Department of Agricultural Economics, Federal University of Technology. Owerri, Imo State, Nigeria
NWAIWU INNOCENT UCHE OJOKO
Department of Agricultural Economics, Federal University of Technology. Owerri, Imo State, Nigeria
AHAMEFULE BLESSING ADA
Department of Agricultural Economics, Michael Okpara University of Agriculture. Umudike, Nigeria
TIM-ASHAMA AKUNNA CHINENYENWA
Department of Agricultural Science, Alvan Ikoku Federal University of Education, Owerri, Nigeria
OSHAJI IFEDAYO OLUWAKEMI
Department of Agricultural Economics, Federal University of Technology. Owerri, Imo State, Nigeria
EZIRIM KELECHI THANKGOD
Department of Mechatronics Engineering, Federal University of Technology. Owerri, Imo State, Nigeria
OBASI IGWE OSCAR
Department of Agricultural Economics, Michael Okpara University of Agriculture. Umudike, Nigeria
UZOMA BETHEL NNABUGWU
Department of Arts and Humanities Education, Alex Ekwueme Federal University. P.M.B 1010 Abakaliki, Ebonyi State, Nigeria

Abstract

Abstract. Emmanuel OE, Nkiruka B-CG, Nnenna OM, Ojoko NIU, Chinenyenwa T-AA, Ada AB, Oluwakemi OI, Thankgod EK, Oscar OI, Nnabugwu UB, 2024. Impact of climate change and extension service on rice farmers' yield in Ebonyi State, Nigeria. Asian J Agric 8: 116-123. 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.

2017-01-01

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