Value Chain Analysis of Local Rice (Oryza glaberrima) Production in Ebonyi State, Nigeria
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Sprache:Englisch
Fr. 14.90
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Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
21.08.2023
Verlag
GRINSeitenzahl
19 (Printausgabe)
Dateigröße
680 KB
Sprache
Englisch
EAN
9783346925404
Two separate multiple regression analysis, using the double-log regression as the lead equation for the producers (farmers) gave R2 of 0.923 and F-Ratio of 51.031, being an indication that 92.3% of the variation in the rice output was explained by the explanatory variables, while 7.70% was accounted-for due to error term (ei) and uncaptured variables. For the secondary value chain actors (transporters, millers, wholesalers and retailers), the exponential function gave R2 of 0.782 and F-Ratio of 38.104, being an indication that 78.2% of the variation in the rice output was explained by the explanatory variables (socio-economic characteristics) while 21.8% was accounted-for due to stochastic error term (ei) and uncaptured variables. The study recommended improvement of effectiveness in cooperative membership to attract finance for rice production, inputs and value addition, purchase of machines for processing and packaging, transportation and marketing. Furthermore, lack of adequate agricultural infrastructure and market information systems was observed to be critical areas of policy concerns. Policies for microcredit institutions on provision of credits to local rice farmers are also recommended to improve rice productivity by capacitating smallholder farmers to use modern agricultural machinery.
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