This study analyzes the impact of beans produced under joint multiple agricultural technologies (Improved beans variety, soil carbon management, integrated pest control, and use of compost manure) on nutrition outcome of stunting, underweight, and wasting in Kenya, Uganda, and Tanzania. Adoption of technologies in East Africa has been in isolation only focusing on single technologies. However, farmers typically adopt joint multiple agricultural technologies as complements or substitutes thus technologies to be adopted dependent on early technology choices. The objective of the study was to analyze the impact of the nutrition outcome variables in terms of stunting, wasting, and underweight for the best joint multiple agricultural technology combinations as a set of explanatory variables (z). This study adopts the multinomial endogenous switching regression model to correct for the selection bias and endogeneity. Results indicate that joint multiple agricultural technologies had a significant impact on the overall nutrition outcome in East Africa households. It is concluded that households in East Africa rarely use a single agricultural technology but rather a combination of different joint technologies in order to improve their nutrition outcome. The findings recommend that households should adopt joint multiple agricultural technologies rather than focusing on single technologies.
| Published in | American Journal of Engineering and Technology Management (Volume 6, Issue 2) |
| DOI | 10.11648/j.ajetm.20210602.11 |
| Page(s) | 16-23 |
| 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. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Beans, Joint Multiple Agricultural Technologies, Nutrition Outcome, Stunting, Underweight and Wasting
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APA Style
Kachilei Levy, Vincent Ngeno. (2021). Impact of Joint Multiple Agricultural Technology Production of Beans on Household Nutrition Outcome in East Africa. American Journal of Engineering and Technology Management, 6(2), 16-23. https://doi.org/10.11648/j.ajetm.20210602.11
ACS Style
Kachilei Levy; Vincent Ngeno. Impact of Joint Multiple Agricultural Technology Production of Beans on Household Nutrition Outcome in East Africa. Am. J. Eng. Technol. Manag. 2021, 6(2), 16-23. doi: 10.11648/j.ajetm.20210602.11
AMA Style
Kachilei Levy, Vincent Ngeno. Impact of Joint Multiple Agricultural Technology Production of Beans on Household Nutrition Outcome in East Africa. Am J Eng Technol Manag. 2021;6(2):16-23. doi: 10.11648/j.ajetm.20210602.11
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Download@article{10.11648/j.ajetm.20210602.11,
author = {Kachilei Levy and Vincent Ngeno},
title = {Impact of Joint Multiple Agricultural Technology Production of Beans on Household Nutrition Outcome in East Africa},
journal = {American Journal of Engineering and Technology Management},
volume = {6},
number = {2},
pages = {16-23},
doi = {10.11648/j.ajetm.20210602.11},
url = {https://doi.org/10.11648/j.ajetm.20210602.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajetm.20210602.11},
abstract = {This study analyzes the impact of beans produced under joint multiple agricultural technologies (Improved beans variety, soil carbon management, integrated pest control, and use of compost manure) on nutrition outcome of stunting, underweight, and wasting in Kenya, Uganda, and Tanzania. Adoption of technologies in East Africa has been in isolation only focusing on single technologies. However, farmers typically adopt joint multiple agricultural technologies as complements or substitutes thus technologies to be adopted dependent on early technology choices. The objective of the study was to analyze the impact of the nutrition outcome variables in terms of stunting, wasting, and underweight for the best joint multiple agricultural technology combinations as a set of explanatory variables (z). This study adopts the multinomial endogenous switching regression model to correct for the selection bias and endogeneity. Results indicate that joint multiple agricultural technologies had a significant impact on the overall nutrition outcome in East Africa households. It is concluded that households in East Africa rarely use a single agricultural technology but rather a combination of different joint technologies in order to improve their nutrition outcome. The findings recommend that households should adopt joint multiple agricultural technologies rather than focusing on single technologies.},
year = {2021}
}
TY - JOUR T1 - Impact of Joint Multiple Agricultural Technology Production of Beans on Household Nutrition Outcome in East Africa AU - Kachilei Levy AU - Vincent Ngeno Y1 - 2021/04/29 PY - 2021 N1 - https://doi.org/10.11648/j.ajetm.20210602.11 DO - 10.11648/j.ajetm.20210602.11 T2 - American Journal of Engineering and Technology Management JF - American Journal of Engineering and Technology Management JO - American Journal of Engineering and Technology Management SP - 16 EP - 23 PB - Science Publishing Group SN - 2575-1441 UR - https://doi.org/10.11648/j.ajetm.20210602.11 AB - This study analyzes the impact of beans produced under joint multiple agricultural technologies (Improved beans variety, soil carbon management, integrated pest control, and use of compost manure) on nutrition outcome of stunting, underweight, and wasting in Kenya, Uganda, and Tanzania. Adoption of technologies in East Africa has been in isolation only focusing on single technologies. However, farmers typically adopt joint multiple agricultural technologies as complements or substitutes thus technologies to be adopted dependent on early technology choices. The objective of the study was to analyze the impact of the nutrition outcome variables in terms of stunting, wasting, and underweight for the best joint multiple agricultural technology combinations as a set of explanatory variables (z). This study adopts the multinomial endogenous switching regression model to correct for the selection bias and endogeneity. Results indicate that joint multiple agricultural technologies had a significant impact on the overall nutrition outcome in East Africa households. It is concluded that households in East Africa rarely use a single agricultural technology but rather a combination of different joint technologies in order to improve their nutrition outcome. The findings recommend that households should adopt joint multiple agricultural technologies rather than focusing on single technologies. VL - 6 IS - 2 ER -
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