Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia

Kemer Omer Yuya

doi:doi:10.11648/j.ajtas.20221106.14

| Peer-Reviewed

Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia

Kemer Omer Yuya

Published in American Journal of Theoretical and Applied Statistics (Volume 11, Issue 6)

Received: 29 July 2022 Accepted: 13 September 2022 Published: 22 November 2022

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The purpose of this study was to analyze honey value chain with special emphasis to Mesela District, West Hararghe zone, Oromia, Ethiopia. The main objectives of the study were to identify the actors, activities, the distribution of costs and benefits among them and to identify factors affecting farmers’ participation in honey marketing and volume marketed in the study area. Both primary and secondary data were used and a total of 160 honey producing sample households from four potential honey producing kebeles of the District were surveyed. The result of regression analysis revealed that the beekeepers, collectors, processors, local brewery houses and retailers. Results from Heckman’s procedure shows among fourteen explanatory variables hypothesized to affect honey market participation decision sex of the household head, number of beehives owned, market information, household’s beekeeping experience, tropical livestock unit (TLU), and type of beehive used were found to be significant. Four variables, sex of the household head, number of beehives owned, credit access for honey production, type of beehive used were also found to be significantly influence the volume of honey sold by the participants of honey marketing. More evidence is needed on honey value chain before any generalization of the results can be made. In addition, the empirical tests were conducted only on 160 honey producer since 2015. Therefore, the results of the study cannot be assumed to extend beyond this group of honey producer to different study periods. The study might help the honey producer in addressing honey value chain raising awareness and capacity building of both farmers and District’s agricultural development agents through provision of appropriate training on how to manage bees and incorporate new technologies, and formation of beekeeper unions and cooperatives to address problems like lack of access to credit, market information and modern inputs are the actions to be taken to strengthen the sector’s contribution to the District’s development.

Published in	American Journal of Theoretical and Applied Statistics (Volume 11, Issue 6)
DOI	10.11648/j.ajtas.20221106.14
Page(s)	200-218
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), 2022. Published by Science Publishing Group

Keywords

Honey Value Chain, Tobit Model, Beekeeping, Access to Credit

References

[1]	M. Girma, S. Ballo, A. Tegegne, N. Alemayehu, and L. Belayhun, “Approaches, Methods and Process for Innovative Apiculture Development: Experiences from Mesela -Liben District, Oromia Regional State, Ethiopia.,” Int. Livest. Res. Inst., p. 48, 2008.
[2]	Hartmann, I., “No Tree, No Bee – No Honey, No Money. The management of resources and marginalization in beekeeping societies of South West Ethiopia,” Bridge Scales Epistemol., pp. 2–5, 2004.
[3]	Bradbear, N, Fisher, E., and Jackson, H., “Strengthening livelihoods: Exploring the role of beekeeping in development,” Bees Dev., vol. 2, no. 3, pp. 17–24, 2002.
[4]	UNCTAD, “The African Honey Trade: Unlocking the Potential, Enabling small commodity producers in developing countries to reach global markets,” J. Bees Dev., vol. 12, no. 3, pp. 56–60, 2006.
[5]	Kaplinsky, R., “Globalization and un- equalization: What can be learned from value chain analysis,” J. Dev. Stud., vol. 37, no. 2, pp. 117–146, 2000.
[6]	UNCTAD, “Strategies for diversification and adding value to food exports: A value chain perspective,” UNCTAD Geneva, vol. 1, no. 14, p. 23, 2000.
[7]	German Technical Cooperation, “Honey in Nepal: Approach, Strategy and Intervention for Subsector Promotion,” Ger. Tech. Coop. Sect. Promot.-Rural Finance Nepal, 2008.
[8]	KIT, Faida, MaLi, and IIRR. “Chain empowerment: Supporting African farmers to develop markets. Royal Tropical Institute, Amsterdam; Faida Market Link, Arusha,” R. Trop. Inst. Amst. Faida Mark. Link Arusha Int. Inst. Rural Reconstr. Nairobi, 2006.
[9]	USAID, “Finance in Value Chain Analysis,” Synth. Pap. Micro Rep., vol. 132, pp. 45–47, 2008.
[10]	M4P, “Making Value Chains Work Better for the Poor. Making Markets Work for the Poor (M4P) Project,” Agric. Dev. Int. U. K., 2008.
[11]	Kaplinsky, R. and Morris, M., “A handbook of value chain research. Working Paper prepared for the IDRC,” Inst. Dev. Stud. Brighton UK, 2001.
[12]	Wandschneider, T. and Kim, Y. N., “Guide to Agricultural Marketing Extension,” Vietnam, 2006.
[13]	Smith, L. D., “and Returns in Agricultural Marketing. Marketing and Agribusiness Development Paper No. 1.” Dep. Polit. Econ. Univ. Glasg. Glasg. Scotl., 1992.
[14]	UNIDO, “Agro-Value Chain Analysis and Development,” Int. Cent. Vienna Austria, vol. 3, p. 34, 2009.
[15]	Beamon, B. M., “Supply Cahin Design and Analysis: Models and Methods. Department of Mechanical, Industrial and Nuclear Engineering, University of Cincinnati, Cicinnati, USA,” Int. J. Prod. Econ., vol. 5, pp. 281–294, 1998.
[16]	Tuvhag, E., “A value chain analysis of Fairtrade coffee with special focus on income and vertical integration,” Dep. Econ. Lund Univ. Swed., 2008.
[17]	Anandajayasekeram, P. and Berhanu Gebremedhin. “Integrating innovation systems perspective and value chain analysis in agricultural research for development: Implications and challenges. Improving Productivity and Market Success (IPMS) of Ethiopian Farmers Project Working Paper,” Int. Livest. Res. Inst. Nairobi Kenya, vol. 16, no. 67, 2009.
[18]	SNV, “Beekeeping/Honey Value Chain Financing Study,” Inst. Community Organ. Dev., vol. 1, pp. 12–14, 2009.
[19]	Nawata, K., “Estimation of Female Labor supply Models by Heckman’s Two-step Estimator and the Maximum Likelihood Estimator. Econometric Letter.,” vol. 45, pp. 33–40, 1993.
[20]	Verbeek, M., “guide to modern econometrics,” John Wiley Sons Ltd, 2000.
[21]	Nawata, K. and Nagase, N., “Estimation of sample selection bias models. Econometric Reviews,” vol. 15, no. 4, pp. 387–400, 1996.
[22]	Vella, F., “Estimating models with sample selection bias: a survey,” J. Hum. Resour., vol. 33, no. 1, pp. 127–169, 1998.
[23]	Goetz, S. J., “A Selectivity model of household food marketing behavior in Sub- Saharan Africa,” Am. J. Agric. Econ., vol. 74, no. 2, pp. 444–52, 1992.
[24]	Siziba, S., Nyikahadzoi, K., Diagne, A., Fatunbi, A. O., and Adekunle, A. A., “Determinants of cereal market participation by sub-Saharan Africa smallholder farmer. Learning Publics,” J. Agric. Environ. Stud., vol. 2, no. 1, pp. 180–193, 2011.
[25]	Holloway, G., Nicholson, C., Delgado, C., Staal, S., and Ehui, S., “How to make milk market: A case study from Ethiopian high lands.,” ILRI Int. Livest. Res. Inst., p. 28, 2000.
[26]	R. Mussema, “Analysis of Red Pepper Marketing: The case of Alaba and Siltie in SNNPRS of Ethiopia,” Haramaya Univ. Ethiop..
[27]	Crane, E., “Bees and beekeeping: Science, practice and world resources,” Comstock Publ. Assoc. Cornell Univ. Press Ithaca N. Y., 1990.
[28]	Sulaiman V. R., Hall A., and Raina R., “disseminating technologies to promoting innovation: implications for agricultural extension,” SAIC Reg. Workshop Res.-Ext. Link. Eff. Deliv. Agric. Technol. SAARC Ctries., pp. 20–22, 2006.
[29]	Scarborough, V. and Kydd, J., “Economic analysis of agricultural markets: a manual, Natural Resources Institute,” 1992.

Cite This Article

Plain Text BibTeX RIS

APA Style

Kemer Omer Yuya. (2022). Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia. American Journal of Theoretical and Applied Statistics, 11(6), 200-218. https://doi.org/10.11648/j.ajtas.20221106.14

Copy | Download

ACS Style

Kemer Omer Yuya. Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia. Am. J. Theor. Appl. Stat. 2022, 11(6), 200-218. doi: 10.11648/j.ajtas.20221106.14

Copy | Download

AMA Style

Kemer Omer Yuya. Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia. Am J Theor Appl Stat. 2022;11(6):200-218. doi: 10.11648/j.ajtas.20221106.14

Copy | Download

@article{10.11648/j.ajtas.20221106.14,
  author = {Kemer Omer Yuya},
  title = {Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {11},
  number = {6},
  pages = {200-218},
  doi = {10.11648/j.ajtas.20221106.14},
  url = {https://doi.org/10.11648/j.ajtas.20221106.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20221106.14},
  abstract = {The purpose of this study was to analyze honey value chain with special emphasis to Mesela District, West Hararghe zone, Oromia, Ethiopia. The main objectives of the study were to identify the actors, activities, the distribution of costs and benefits among them and to identify factors affecting farmers’ participation in honey marketing and volume marketed in the study area. Both primary and secondary data were used and a total of 160 honey producing sample households from four potential honey producing kebeles of the District were surveyed. The result of regression analysis revealed that the beekeepers, collectors, processors, local brewery houses and retailers. Results from Heckman’s procedure shows among fourteen explanatory variables hypothesized to affect honey market participation decision sex of the household head, number of beehives owned, market information, household’s beekeeping experience, tropical livestock unit (TLU), and type of beehive used were found to be significant. Four variables, sex of the household head, number of beehives owned, credit access for honey production, type of beehive used were also found to be significantly influence the volume of honey sold by the participants of honey marketing. More evidence is needed on honey value chain before any generalization of the results can be made. In addition, the empirical tests were conducted only on 160 honey producer since 2015. Therefore, the results of the study cannot be assumed to extend beyond this group of honey producer to different study periods. The study might help the honey producer in addressing honey value chain raising awareness and capacity building of both farmers and District’s agricultural development agents through provision of appropriate training on how to manage bees and incorporate new technologies, and formation of beekeeper unions and cooperatives to address problems like lack of access to credit, market information and modern inputs are the actions to be taken to strengthen the sector’s contribution to the District’s development.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia
AU  - Kemer Omer Yuya
Y1  - 2022/11/22
PY  - 2022
N1  - https://doi.org/10.11648/j.ajtas.20221106.14
DO  - 10.11648/j.ajtas.20221106.14
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 200
EP  - 218
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20221106.14
AB  - The purpose of this study was to analyze honey value chain with special emphasis to Mesela District, West Hararghe zone, Oromia, Ethiopia. The main objectives of the study were to identify the actors, activities, the distribution of costs and benefits among them and to identify factors affecting farmers’ participation in honey marketing and volume marketed in the study area. Both primary and secondary data were used and a total of 160 honey producing sample households from four potential honey producing kebeles of the District were surveyed. The result of regression analysis revealed that the beekeepers, collectors, processors, local brewery houses and retailers. Results from Heckman’s procedure shows among fourteen explanatory variables hypothesized to affect honey market participation decision sex of the household head, number of beehives owned, market information, household’s beekeeping experience, tropical livestock unit (TLU), and type of beehive used were found to be significant. Four variables, sex of the household head, number of beehives owned, credit access for honey production, type of beehive used were also found to be significantly influence the volume of honey sold by the participants of honey marketing. More evidence is needed on honey value chain before any generalization of the results can be made. In addition, the empirical tests were conducted only on 160 honey producer since 2015. Therefore, the results of the study cannot be assumed to extend beyond this group of honey producer to different study periods. The study might help the honey producer in addressing honey value chain raising awareness and capacity building of both farmers and District’s agricultural development agents through provision of appropriate training on how to manage bees and incorporate new technologies, and formation of beekeeper unions and cooperatives to address problems like lack of access to credit, market information and modern inputs are the actions to be taken to strengthen the sector’s contribution to the District’s development.
VL  - 11
IS  - 6
ER  -

Copy | Download

Author Information

Kemer Omer Yuya

Colleges of Business and Economics, Department of Developmental Economics, Oda Bultum University, Chiro, Ethiopia

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Kemer Omer Yuya. (2022). Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia. American Journal of Theoretical and Applied Statistics, 11(6), 200-218. https://doi.org/10.11648/j.ajtas.20221106.14

Copy | Download

ACS Style

Kemer Omer Yuya. Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia. Am. J. Theor. Appl. Stat. 2022, 11(6), 200-218. doi: 10.11648/j.ajtas.20221106.14

Copy | Download

AMA Style

Kemer Omer Yuya. Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia. Am J Theor Appl Stat. 2022;11(6):200-218. doi: 10.11648/j.ajtas.20221106.14

Copy | Download

@article{10.11648/j.ajtas.20221106.14,
  author = {Kemer Omer Yuya},
  title = {Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {11},
  number = {6},
  pages = {200-218},
  doi = {10.11648/j.ajtas.20221106.14},
  url = {https://doi.org/10.11648/j.ajtas.20221106.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20221106.14},
  abstract = {The purpose of this study was to analyze honey value chain with special emphasis to Mesela District, West Hararghe zone, Oromia, Ethiopia. The main objectives of the study were to identify the actors, activities, the distribution of costs and benefits among them and to identify factors affecting farmers’ participation in honey marketing and volume marketed in the study area. Both primary and secondary data were used and a total of 160 honey producing sample households from four potential honey producing kebeles of the District were surveyed. The result of regression analysis revealed that the beekeepers, collectors, processors, local brewery houses and retailers. Results from Heckman’s procedure shows among fourteen explanatory variables hypothesized to affect honey market participation decision sex of the household head, number of beehives owned, market information, household’s beekeeping experience, tropical livestock unit (TLU), and type of beehive used were found to be significant. Four variables, sex of the household head, number of beehives owned, credit access for honey production, type of beehive used were also found to be significantly influence the volume of honey sold by the participants of honey marketing. More evidence is needed on honey value chain before any generalization of the results can be made. In addition, the empirical tests were conducted only on 160 honey producer since 2015. Therefore, the results of the study cannot be assumed to extend beyond this group of honey producer to different study periods. The study might help the honey producer in addressing honey value chain raising awareness and capacity building of both farmers and District’s agricultural development agents through provision of appropriate training on how to manage bees and incorporate new technologies, and formation of beekeeper unions and cooperatives to address problems like lack of access to credit, market information and modern inputs are the actions to be taken to strengthen the sector’s contribution to the District’s development.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Analysis of Honey Value Chain: In Case of Mesela District, West Hararghe Zone, Ethiopia
AU  - Kemer Omer Yuya
Y1  - 2022/11/22
PY  - 2022
N1  - https://doi.org/10.11648/j.ajtas.20221106.14
DO  - 10.11648/j.ajtas.20221106.14
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 200
EP  - 218
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20221106.14
AB  - The purpose of this study was to analyze honey value chain with special emphasis to Mesela District, West Hararghe zone, Oromia, Ethiopia. The main objectives of the study were to identify the actors, activities, the distribution of costs and benefits among them and to identify factors affecting farmers’ participation in honey marketing and volume marketed in the study area. Both primary and secondary data were used and a total of 160 honey producing sample households from four potential honey producing kebeles of the District were surveyed. The result of regression analysis revealed that the beekeepers, collectors, processors, local brewery houses and retailers. Results from Heckman’s procedure shows among fourteen explanatory variables hypothesized to affect honey market participation decision sex of the household head, number of beehives owned, market information, household’s beekeeping experience, tropical livestock unit (TLU), and type of beehive used were found to be significant. Four variables, sex of the household head, number of beehives owned, credit access for honey production, type of beehive used were also found to be significantly influence the volume of honey sold by the participants of honey marketing. More evidence is needed on honey value chain before any generalization of the results can be made. In addition, the empirical tests were conducted only on 160 honey producer since 2015. Therefore, the results of the study cannot be assumed to extend beyond this group of honey producer to different study periods. The study might help the honey producer in addressing honey value chain raising awareness and capacity building of both farmers and District’s agricultural development agents through provision of appropriate training on how to manage bees and incorporate new technologies, and formation of beekeeper unions and cooperatives to address problems like lack of access to credit, market information and modern inputs are the actions to be taken to strengthen the sector’s contribution to the District’s development.
VL  - 11
IS  - 6
ER  -

Copy | Download