TECHNICAL EFFICIENCY OF PRODUCTION OF QUALITY PROTEIN MAIZE BETWEEN ADOPTERS AND NON-ADOPTERS, AND THE DETERMINANTS IN OYO STATE, NIGERIA

This study determined the technical efficiency (TE) of production of Quality Protein Maize (QPM) and the effect on the adoption of QPM in Oyo State, Nigeria. QPM is an improved maize variety developed to reduce protein deficiency problems. A total of 100 maize farmers were sampled through a two-stag...

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Main Authors: Abiodun Elijah OBAYELU, Cocou Muriel Dorian MONCHO, Chukwunoso Christopher DIAI
Format: Article
Language:English
Published: Slovak University of Agriculture 2016-11-01
Series:Review of Agricultural and Applied Economics
Subjects:
Online Access:http://roaae.org/wp-content/uploads/2016/10/RAAE_2_2016_Obayelu_et_al.pdf
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author Abiodun Elijah OBAYELU
Cocou Muriel Dorian MONCHO
Chukwunoso Christopher DIAI
author_facet Abiodun Elijah OBAYELU
Cocou Muriel Dorian MONCHO
Chukwunoso Christopher DIAI
author_sort Abiodun Elijah OBAYELU
collection DOAJ
description This study determined the technical efficiency (TE) of production of Quality Protein Maize (QPM) and the effect on the adoption of QPM in Oyo State, Nigeria. QPM is an improved maize variety developed to reduce protein deficiency problems. A total of 100 maize farmers were sampled through a two-stage sampling procedure. Stochastic frontier approach using maximum likelihood estimation (MLE) was used to analyse the TE in the production of QPM, while probit regression was used to determine the effect of TE and other socioeconomic characteristics of the respondents on the adoption of QPM. The results revealed a mean TE of 0.89 and 0.78 for adopters and non-adopters of QPM respectively. This implied that adopters of QPM are more technically efficient than the non-adopters. Quantity of seed planted and fertilizer directly and significantly affected the TE of QPM while gross margin of maize farmers and income from other sources (at P<0.05), the level of education of farmers and QPM farm size (P<0.01) have significant and a negative effects on technical inefficiency from the results of the Tobit regression. The age (P<0.05) of the farmer has direct effect on technical inefficiency. In conclusion, TE, level of output, information availability on QPM and early maturity were significant determinants of QPM rather than the gross margin of production. Farmers decide to adopt QPM technology because of the high level of technical efficiency in the production of this variety. Their output from QPM can be increased by 11 percent, while the non-adopters can increase their maize output by 22 percent using the available technology.
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spelling doaj.art-5c8e758ecd19458b84fb12c55ea5aba62022-12-21T23:36:02ZengSlovak University of AgricultureReview of Agricultural and Applied Economics1336-92612016-11-01192293810.15414/raae.2016.19.02.29-38679-1TECHNICAL EFFICIENCY OF PRODUCTION OF QUALITY PROTEIN MAIZE BETWEEN ADOPTERS AND NON-ADOPTERS, AND THE DETERMINANTS IN OYO STATE, NIGERIAAbiodun Elijah OBAYELUCocou Muriel Dorian MONCHOChukwunoso Christopher DIAIThis study determined the technical efficiency (TE) of production of Quality Protein Maize (QPM) and the effect on the adoption of QPM in Oyo State, Nigeria. QPM is an improved maize variety developed to reduce protein deficiency problems. A total of 100 maize farmers were sampled through a two-stage sampling procedure. Stochastic frontier approach using maximum likelihood estimation (MLE) was used to analyse the TE in the production of QPM, while probit regression was used to determine the effect of TE and other socioeconomic characteristics of the respondents on the adoption of QPM. The results revealed a mean TE of 0.89 and 0.78 for adopters and non-adopters of QPM respectively. This implied that adopters of QPM are more technically efficient than the non-adopters. Quantity of seed planted and fertilizer directly and significantly affected the TE of QPM while gross margin of maize farmers and income from other sources (at P<0.05), the level of education of farmers and QPM farm size (P<0.01) have significant and a negative effects on technical inefficiency from the results of the Tobit regression. The age (P<0.05) of the farmer has direct effect on technical inefficiency. In conclusion, TE, level of output, information availability on QPM and early maturity were significant determinants of QPM rather than the gross margin of production. Farmers decide to adopt QPM technology because of the high level of technical efficiency in the production of this variety. Their output from QPM can be increased by 11 percent, while the non-adopters can increase their maize output by 22 percent using the available technology.http://roaae.org/wp-content/uploads/2016/10/RAAE_2_2016_Obayelu_et_al.pdfResource-use efficiencyStochastic Frontier Analysisadoptiontobit regressionprobit regression
spellingShingle Abiodun Elijah OBAYELU
Cocou Muriel Dorian MONCHO
Chukwunoso Christopher DIAI
TECHNICAL EFFICIENCY OF PRODUCTION OF QUALITY PROTEIN MAIZE BETWEEN ADOPTERS AND NON-ADOPTERS, AND THE DETERMINANTS IN OYO STATE, NIGERIA
Review of Agricultural and Applied Economics
Resource-use efficiency
Stochastic Frontier Analysis
adoption
tobit regression
probit regression
title TECHNICAL EFFICIENCY OF PRODUCTION OF QUALITY PROTEIN MAIZE BETWEEN ADOPTERS AND NON-ADOPTERS, AND THE DETERMINANTS IN OYO STATE, NIGERIA
title_full TECHNICAL EFFICIENCY OF PRODUCTION OF QUALITY PROTEIN MAIZE BETWEEN ADOPTERS AND NON-ADOPTERS, AND THE DETERMINANTS IN OYO STATE, NIGERIA
title_fullStr TECHNICAL EFFICIENCY OF PRODUCTION OF QUALITY PROTEIN MAIZE BETWEEN ADOPTERS AND NON-ADOPTERS, AND THE DETERMINANTS IN OYO STATE, NIGERIA
title_full_unstemmed TECHNICAL EFFICIENCY OF PRODUCTION OF QUALITY PROTEIN MAIZE BETWEEN ADOPTERS AND NON-ADOPTERS, AND THE DETERMINANTS IN OYO STATE, NIGERIA
title_short TECHNICAL EFFICIENCY OF PRODUCTION OF QUALITY PROTEIN MAIZE BETWEEN ADOPTERS AND NON-ADOPTERS, AND THE DETERMINANTS IN OYO STATE, NIGERIA
title_sort technical efficiency of production of quality protein maize between adopters and non adopters and the determinants in oyo state nigeria
topic Resource-use efficiency
Stochastic Frontier Analysis
adoption
tobit regression
probit regression
url http://roaae.org/wp-content/uploads/2016/10/RAAE_2_2016_Obayelu_et_al.pdf
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