Agri 2022

Technical Efficiency and Production Risk in Organic and Inorganic Inputs use among smallholder cassava farmers, Imo State

Donatus O Ohajianya

Donatus O Ohajianya , Speaker at Agriculture Conferences 2022
Federal University of Technology, Nigeria
Title : Technical Efficiency and Production Risk in Organic and Inorganic Inputs use among smallholder cassava farmers, Imo State

Abstract:

This study analyzed Technical Efficiency and Production Risk in Organic and Inorganic inputs use among cassava farmers in Imo State. The specific objectives of the study were to examine the socioeconomic characteristics of respondents, determine the level of risk associated with smallholder cassava farmers, estimate without production risk the levels of technical efficiency in organic and inorganic inputs use among smallholder cassava farmers, estimate with production risk the levels of technical efficiency in organic and inorganic inputs use among smallholder cassava farmers, and determine the influence of smallholder cassava farmers production risk level and other factor inputs to the level of technical efficiency. It is hypothesized that there is no significant relationship between level of farm inputs and production risk level and level of technical efficiency of small holder cassava farmers in Imo State. Data were collected with structured questionnaire from 140 and 160 proportionately and randomly selected smallholder cassava farmers that use organic and inorganic inputs respectively. Data were analyzed using descriptive statistics, econometric and statistical tools. Results showed that mean age of smallholder cassava farmers was 42 years, mean farm size, farming experience, and level of education were 1.25 hectares, 23 years, and 12 years respectively.  The value of production risk for organic and inorganic inputs use smallholder cassava farmers were 8.26 and 9.37 respectively, indicating that cassava production was associated with risk, and the risk is more with inorganic inputs use. Parameters of production factors such as cassava cuttings, labour, capital, farm size, animal manure, and plant residues for organic input users were significant at 5% in the technical efficiency model estimated without production risk. These factors were  also significant alongside production risk at 5% level when technical efficiency was estimated with production risk as a factor. Parameters of production factors such as cassava cuttings, labour, capital, farm size, fertilizer, and pesticides for inorganic inputs users were significant at 5% in the technical efficiency model estimated without production risk. These factors were also significant alongside production risk at 5% level when technical efficiency was estimated with production risk as a factor. The mean technical efficiencies for organic and inorganic input users were 0.68 and 0.73 respectively when production risk was not incorporated, but the mean technical efficiencies decreased to 0.53 and 0.65 respectively with the integration of production risk. Sources of inefficiency in the two farm types were level of education, farming experience, credit access and age. The stated hypotheses was rejected with respect to the significant variables and accepted with respect to the non-significant variables. Incorporation of production risk in estimating technical efficiency will give a better and unbiased results since agricultural production is inherently risky.

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