The study investigated the determinants of adoption of improved cocoa technologies in Ekiti State, Nigeria. Specifically, it examined the socio economic characteristics of the cocoa farmers in the study area; identified the various technologies practiced by cocoa farmers in the study area and determined the intensity of adoption of improved technologies. A multi-stage sampling technique was used to select eighty (80) respondents in four (4) local government areas namely: Ise/Orun LGA, Irepodun Ifelodun LGA, Oye LGA and Ekiti South-West LGA; which were predominated with cocoa farmers. Tobit model was used to examine the determinants and intensity of adoption of improved cocoa technologies. At 5% level of significance, variables that positively and significantly influence adoption of improved cocoa technologies include sex, level of education, source of information and visit by the extension agents; meaning they were important in the adoption of improved cocoa technologies and raises the probability of adoption by 9.14, 2.97, 2.98 and 3.94%. The age of the cocoa farmers; family size and the farm size were not significant and have negative coefficients meaning increase in these factors will reduce the likelihood of cocoa farmers adopting the improved techniques. Result of budgeting analysis implies a better performance of the adopters of improved cocoa technologies whereby the benefit cost ratio for the adopters and non-adopters of improved cocoa technologies were 3.50 and 1.26 respectively.
Published in | International Journal of Agricultural Economics (Volume 5, Issue 2) |
DOI | 10.11648/j.ijae.20200502.11 |
Page(s) | 36-42 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2020. Published by Science Publishing Group |
Adoption, Intensity, Cocoa, Determinants, Benefit Cost Ratio, Adopters, Non-adopters, Budgeting Analysis
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APA Style
Julius Olumide Ilesanmi, Jimoh Atanda Afolabi. (2020). Determinants of Adoption of Improved Cocoa Technologies in Ekiti State, Nigeria. International Journal of Agricultural Economics, 5(2), 36-42. https://doi.org/10.11648/j.ijae.20200502.11
ACS Style
Julius Olumide Ilesanmi; Jimoh Atanda Afolabi. Determinants of Adoption of Improved Cocoa Technologies in Ekiti State, Nigeria. Int. J. Agric. Econ. 2020, 5(2), 36-42. doi: 10.11648/j.ijae.20200502.11
AMA Style
Julius Olumide Ilesanmi, Jimoh Atanda Afolabi. Determinants of Adoption of Improved Cocoa Technologies in Ekiti State, Nigeria. Int J Agric Econ. 2020;5(2):36-42. doi: 10.11648/j.ijae.20200502.11
@article{10.11648/j.ijae.20200502.11, author = {Julius Olumide Ilesanmi and Jimoh Atanda Afolabi}, title = {Determinants of Adoption of Improved Cocoa Technologies in Ekiti State, Nigeria}, journal = {International Journal of Agricultural Economics}, volume = {5}, number = {2}, pages = {36-42}, doi = {10.11648/j.ijae.20200502.11}, url = {https://doi.org/10.11648/j.ijae.20200502.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20200502.11}, abstract = {The study investigated the determinants of adoption of improved cocoa technologies in Ekiti State, Nigeria. Specifically, it examined the socio economic characteristics of the cocoa farmers in the study area; identified the various technologies practiced by cocoa farmers in the study area and determined the intensity of adoption of improved technologies. A multi-stage sampling technique was used to select eighty (80) respondents in four (4) local government areas namely: Ise/Orun LGA, Irepodun Ifelodun LGA, Oye LGA and Ekiti South-West LGA; which were predominated with cocoa farmers. Tobit model was used to examine the determinants and intensity of adoption of improved cocoa technologies. At 5% level of significance, variables that positively and significantly influence adoption of improved cocoa technologies include sex, level of education, source of information and visit by the extension agents; meaning they were important in the adoption of improved cocoa technologies and raises the probability of adoption by 9.14, 2.97, 2.98 and 3.94%. The age of the cocoa farmers; family size and the farm size were not significant and have negative coefficients meaning increase in these factors will reduce the likelihood of cocoa farmers adopting the improved techniques. Result of budgeting analysis implies a better performance of the adopters of improved cocoa technologies whereby the benefit cost ratio for the adopters and non-adopters of improved cocoa technologies were 3.50 and 1.26 respectively.}, year = {2020} }
TY - JOUR T1 - Determinants of Adoption of Improved Cocoa Technologies in Ekiti State, Nigeria AU - Julius Olumide Ilesanmi AU - Jimoh Atanda Afolabi Y1 - 2020/04/01 PY - 2020 N1 - https://doi.org/10.11648/j.ijae.20200502.11 DO - 10.11648/j.ijae.20200502.11 T2 - International Journal of Agricultural Economics JF - International Journal of Agricultural Economics JO - International Journal of Agricultural Economics SP - 36 EP - 42 PB - Science Publishing Group SN - 2575-3843 UR - https://doi.org/10.11648/j.ijae.20200502.11 AB - The study investigated the determinants of adoption of improved cocoa technologies in Ekiti State, Nigeria. Specifically, it examined the socio economic characteristics of the cocoa farmers in the study area; identified the various technologies practiced by cocoa farmers in the study area and determined the intensity of adoption of improved technologies. A multi-stage sampling technique was used to select eighty (80) respondents in four (4) local government areas namely: Ise/Orun LGA, Irepodun Ifelodun LGA, Oye LGA and Ekiti South-West LGA; which were predominated with cocoa farmers. Tobit model was used to examine the determinants and intensity of adoption of improved cocoa technologies. At 5% level of significance, variables that positively and significantly influence adoption of improved cocoa technologies include sex, level of education, source of information and visit by the extension agents; meaning they were important in the adoption of improved cocoa technologies and raises the probability of adoption by 9.14, 2.97, 2.98 and 3.94%. The age of the cocoa farmers; family size and the farm size were not significant and have negative coefficients meaning increase in these factors will reduce the likelihood of cocoa farmers adopting the improved techniques. Result of budgeting analysis implies a better performance of the adopters of improved cocoa technologies whereby the benefit cost ratio for the adopters and non-adopters of improved cocoa technologies were 3.50 and 1.26 respectively. VL - 5 IS - 2 ER -