Research Article | | Peer-Reviewed

Impact of Coffee Technologies: A Multinomial Endogenous Switching Regression Model

Received: 30 October 2023     Accepted: 22 November 2023     Published: 8 January 2024
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Abstract

Sector of agriculture plays a significant role in Ethiopian economy. Ethiopia has huge potential to increase coffee production as it endowed with suitable elevation, temperature, and soil fertility, indigenous quality plantation materials, and sufficient rainfall in coffee growing belts of the country. The combination of coffee technologies adoption has a significant effect on coffee productivity. The study was aim at identifying the impact of coffee Varity and coffee land management practice on annual coffee yield in south western Ethiopia. This study develops a multinomial endogenous switching regression model of farmers' choice of combination of coffee technologies and impacts on coffee technologies. Both qualitative and quantitative data collected in multistage sampling techniques. Data was collected from both primary and secondary data sources. 196 sampled households from three woreda in the zone and 430 plots of 196 farmers household is considered in the survey. Two primary results were found. First, adoption rate and intensity of improved coffee variety is greater than adoption of coffee management practice. Secondly adoption of coffee technologies determined by much institutional, resource and other related factor. This implies that policy makers and other stakeholders promoting a combination of technologies can enhance coffee yield through reducing production costs and decreasing coffee vulnerability to disease.

Published in American Journal of Life Sciences (Volume 12, Issue 1)
DOI 10.11648/j.ajls.20241201.12
Page(s) 9-15
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

Keywords

Coffee Technologies, Adoption, Multivariate Probit Model

References
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[4] Carter, D. W., & Milon, J. W. (2005). Price knowledge in household demand for utility services. Land Economics, 81(2), 265-283.
[5] Cerda, R., Avelino, J., Gary, C., Tixier, P., Lechevallier, E., & Allinne, C. (2017). Primary and secondary yield losses caused by pests and diseases: Assessment and modeling in coffee. PloS one, 12(1), e0169133.
[6] Di Falco, S., & Veronesi, M. (2014). Managing environmental risk in presence of climate change: the role of adaptation in the Nile Basin of Ethiopia. Environmental and Resource Economics, 57(4), 553-577.
[7] Diro, S., & Erko, B. (2019). Impacts of adoption of improved coffee varieties on farmers’ coffee yield and income in Jimma zone. Agricultural Research and Technology, 21(4), 1-9.
[8] Diro, S., Erko, B., & Yami, M. (2019). Cost of production of coffee in Jimma Zone, Southwest Ethiopia. Ethiopian Journal of Agricultural Sciences, 29(3), 13-28.
[9] Diro, Samuel, et al. (2021). "The Role of Improved Coffee Variety Use on the Adoption of Key Agricultural Technologies in the Coffee-Based Farming System of Ethiopia."
[10] Fafchamps, M. (1993). Sequential labor decisions under uncertainty: An estimable household model of West-African farmers. Econometrica: Journal of the Econometric Society, 1173-1197.
[11] Fekede G, Gosa A (2015). Opportunities and constraints of coffee production in West Hararghe, Ethiopia. J. Agric. Econ. Rural Dev. 2(4):054-059.
[12] Kwak, C., & Clayton-Matthews, A. (2002). Multinomial logistic regression. Nursing research, 51(6), 404-410.
[13] Levinsohn, J., & Petrin, A. (2003). Estimating production functions using inputs to control for unobservables. The review of economic studies, 70(2), 317-341.
[14] Million, M., Like, M., & Chalchisa, T. (2020). Adoption Status and Factors Determining Coffee Technology Adoption in Jimma Zone, South West Ethiopia. Pelita Perkebunan (a Coffee and Cocoa Research Journal), 36(1), 68-83.
[15] Mohamad, M., & Gombe, I. (2017). e-Agriculture revisited: A systematic Literature.
[16] Mohammed, M. K. (2018). Analysis of Adoption of Improved Coffee Technologies in Major Coffee Growing Areas of Southern Ethiopia. Innovative Systems Design and Engineering, 9(5), 1-9.
[17] Musa, H. A., & Hiwot, M. M. (2017). The impact of agricultural cooperatives membership on the wellbeing of smallholder farmers: empirical evidence from eastern Ethiopia. Agricultural and Food Economics, 5(6).
[18] Taye Kufa, (2013). Status of Arabica coffee Germplasm in Ethiopia center director & Senior Coffee Researcher.
[19] Teklewold, H., Dadi, L., Yami, A. and Dana, N. (2006). Determinants of adoption of poultry technology: a double-hurdle approach. Livestock research for rural development, 18(3), pp. 1-14.
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Cite This Article
  • APA Style

    Temesgen, M., Debeb, S., Erko, B. (2024). Impact of Coffee Technologies: A Multinomial Endogenous Switching Regression Model. American Journal of Life Sciences, 12(1), 9-15. https://doi.org/10.11648/j.ajls.20241201.12

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    ACS Style

    Temesgen, M.; Debeb, S.; Erko, B. Impact of Coffee Technologies: A Multinomial Endogenous Switching Regression Model. Am. J. Life Sci. 2024, 12(1), 9-15. doi: 10.11648/j.ajls.20241201.12

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    AMA Style

    Temesgen M, Debeb S, Erko B. Impact of Coffee Technologies: A Multinomial Endogenous Switching Regression Model. Am J Life Sci. 2024;12(1):9-15. doi: 10.11648/j.ajls.20241201.12

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  • @article{10.11648/j.ajls.20241201.12,
      author = {Megdelawit Temesgen and Sisay Debeb and Beza Erko},
      title = {Impact of Coffee Technologies: A Multinomial Endogenous Switching Regression Model},
      journal = {American Journal of Life Sciences},
      volume = {12},
      number = {1},
      pages = {9-15},
      doi = {10.11648/j.ajls.20241201.12},
      url = {https://doi.org/10.11648/j.ajls.20241201.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajls.20241201.12},
      abstract = {Sector of agriculture plays a significant role in Ethiopian economy. Ethiopia has huge potential to increase coffee production as it endowed with suitable elevation, temperature, and soil fertility, indigenous quality plantation materials, and sufficient rainfall in coffee growing belts of the country. The combination of coffee technologies adoption has a significant effect on coffee productivity. The study was aim at identifying the impact of coffee Varity and coffee land management practice on annual coffee yield in south western Ethiopia. This study develops a multinomial endogenous switching regression model of farmers' choice of combination of coffee technologies and impacts on coffee technologies. Both qualitative and quantitative data collected in multistage sampling techniques. Data was collected from both primary and secondary data sources. 196 sampled households from three woreda in the zone and 430 plots of 196 farmers household is considered in the survey. Two primary results were found. First, adoption rate and intensity of improved coffee variety is greater than adoption of coffee management practice. Secondly adoption of coffee technologies determined by much institutional, resource and other related factor. This implies that policy makers and other stakeholders promoting a combination of technologies can enhance coffee yield through reducing production costs and decreasing coffee vulnerability to disease.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Impact of Coffee Technologies: A Multinomial Endogenous Switching Regression Model
    AU  - Megdelawit Temesgen
    AU  - Sisay Debeb
    AU  - Beza Erko
    Y1  - 2024/01/08
    PY  - 2024
    N1  - https://doi.org/10.11648/j.ajls.20241201.12
    DO  - 10.11648/j.ajls.20241201.12
    T2  - American Journal of Life Sciences
    JF  - American Journal of Life Sciences
    JO  - American Journal of Life Sciences
    SP  - 9
    EP  - 15
    PB  - Science Publishing Group
    SN  - 2328-5737
    UR  - https://doi.org/10.11648/j.ajls.20241201.12
    AB  - Sector of agriculture plays a significant role in Ethiopian economy. Ethiopia has huge potential to increase coffee production as it endowed with suitable elevation, temperature, and soil fertility, indigenous quality plantation materials, and sufficient rainfall in coffee growing belts of the country. The combination of coffee technologies adoption has a significant effect on coffee productivity. The study was aim at identifying the impact of coffee Varity and coffee land management practice on annual coffee yield in south western Ethiopia. This study develops a multinomial endogenous switching regression model of farmers' choice of combination of coffee technologies and impacts on coffee technologies. Both qualitative and quantitative data collected in multistage sampling techniques. Data was collected from both primary and secondary data sources. 196 sampled households from three woreda in the zone and 430 plots of 196 farmers household is considered in the survey. Two primary results were found. First, adoption rate and intensity of improved coffee variety is greater than adoption of coffee management practice. Secondly adoption of coffee technologies determined by much institutional, resource and other related factor. This implies that policy makers and other stakeholders promoting a combination of technologies can enhance coffee yield through reducing production costs and decreasing coffee vulnerability to disease.
    
    VL  - 12
    IS  - 1
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Jimma, Ethiopia

  • Business and Economics College, Addis Ababa University, Addis Ababa, Ethiopia

  • Ethiopian Institute of Agricultural Research, Jimma, Ethiopia

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