Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia

Gedefaw Abebe; Sisay Debebe; Kalkidan Tesafie

doi:doi:10.11648/j.ebm.20200602.13

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Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia

Gedefaw Abebe, Sisay Debebe, Kalkidan Tesafie

Published in European Business & Management (Volume 6, Issue 2)

Received: 25 May 2020 Accepted: 8 June 2020 Published: 20 June 2020

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Abstract

Chickpea marketing system in Ethiopia is highly immature and poorly organized. This indicates outlet choice is comparatively new and greatly inconstant depending on production situations. The product channeled through complex channel of marketing chains that involve a number of mediators and marketing agents. So, the study was aimed to identify determinant of market outlet choice on chickpea farmers in Dembia district. A two stage sampling technique was used to determine sample size. A total of 150 sample households were randomly selected for an interview using a semi-structured questionnaire and key informants were the other method of data collection. Multivariate probit model was employed to identify the factor affecting chickpea market outlet choices. The result of multivariate probit model showed that literacy status, owning transport facility, livestock holding, chickpea yield and access to extension service significantly influenced the choice of chickpea market outlet choice in the study area. The common underlying factors of market channel choice were also identified. Based on the results, the study recommended that traders, local and national governments, none governmental organizations, policy makers and stakeholders should focus on strengthening the existence formal and informal education, chickpea production system, in improving extension system, strengthening the existing rural telecom and rural-urban infrastructure to achieve good market chain system in the study area as well as at the country level.

Published in	European Business & Management (Volume 6, Issue 2)
DOI	10.11648/j.ebm.20200602.13
Page(s)	36-41
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), 2020. Published by Science Publishing Group

Keywords

Chickpea Marketing, Ethiopia, Multivariate Probit Model, Outlet Choice

References

[1]	Abebe, G., & Debebe, S. (2020). Determinants of recommended agronomic practices adoption among wheat producing smallholder farmers in Sekela district of west Gojjam zone, Ethiopia. Journal of development and agricultural economics, 12 (1), 17-24.
[2]	Adugna. (2009). Analysis of fruit and vegetable market chains in Alamata, southern zone of Tigray: the case of onion, tomato and papaya. An M. Sc thesis presented to school of graduate studies of Haramaya University. Pp98.
[3]	Cappellari and jenkins. (2003). Multivariate probit regression using simulated maximum likelihood‘, stata j, 3 (3): 1-17.
[4]	Cochran's. (1977). Sampling techniques, 2nd ed., new york: john wiley and sons, inc.
[5]	Csa. (2007). Area and production of crops. Country level, part ii, Addis Ababa. Pp. 261-323.
[6]	Csa. (2015). Central statistics authority-Ethiopia. (2015). Report on area and production of crops. Statistical bulletin. 1: 578-589.
[7]	Ddfedo. (2017). (dembia district finance and economic development office). (2017). Working paper of dembia district agro-ecology and its habitat.
[8]	Degye et al. (2013). Degye, g,. Belay k. And mengistu k,. (2013). Is food security enhanced by agriculturaltechnologies in rural Ethiopia? African journal of agricultural and resourceeconomics volume 8 number pages. 58-68.
[9]	Haile. (2010). Chick pea production, supply, demand and marketing issues in Ethiopia. Ethiopian commodity exchange authority. Economic analysis work process of ecea Addis Ababa.
[10]	Jagwe. (2007). Impact of transaction cost on the participationof smallholder farmers and intermediaries in the banana market in burundi, democratic.
[11]	Key, n., sadoulet, e. And dejanvry, a. (2000). Transactions costs and agriculturalhousehold supply response. American journal of agricultural economics, 88 (2):. 245-259.
[12]	Kinde. (2007). Sesame market chain analysis: the case of Metema woreda, north gondar zone, Amhara national regional state. An M. Sc thesis presented to schoolof graduate studies of Haramaya University. 123p.
[13]	Maryam. (2015). Analysis of rice farmers‘ access to output market and profit efficiency in Kano state, Nigeria a thesis submitted to the school of postgraduate studies Ahmadu Bello University, Zaria.
[14]	Menale et al. (2010). Adoption and impact of improvedgroundnut varieties on rural poverty: evidence from rural Uganda. Environment for development (efd), discussion working paper, may 2010 efd dp 10-11.
[15]	Moard. (2010). Annual report of 2009/2010 Addis Ababa, Ethiopia.
[16]	Mukiama, b., k, nongluck. s and yaowarat. s. (2014). Factors influencing vegetable farmer‘s choice of marketing channel in khon kaen, Thailand. Khon kaen agr. j42 (4). 595-604.
[17]	Mussie, a., j. Mwanga, w. Mwangi, h. Verkuijl, r. Mungi and a. Elang. (2001). Adoption of improved wheat technologies by small scale farmers in Mbeya district, southern high land. Tanzania: international maize and wheat improved centre (cimmyt) of the united republic of Tanzania.
[18]	Rehima Musema. (2009). Analysis of red pepper marketing: the case of Alaba and Silitie in SNNPRs of Ethiopia. An M. Sc. Thesis presented to school of graduate studies of Haramaya University. 153p.
[19]	Tewodros. (2014). Analysis of chickpea value chain and determinants of market options choice in selected districts of southern Ethiopia. Journal of agricultural science; vol. 6, no. 10; 2014 issn 1916-9752 e-issn 1916-9760.
[20]	Tl-iii. (2016). (tropical legumes iii. (2016). Chickpea production, technology adoption and market linkages in ethiopia. Pan-Africa grain legume and world cowpea conference feb 28- mar 4, 2016, livingstone, Zambia.

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APA Style

Gedefaw Abebe, Sisay Debebe, Kalkidan Tesafie. (2020). Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia. European Business & Management, 6(2), 36-41. https://doi.org/10.11648/j.ebm.20200602.13

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Gedefaw Abebe; Sisay Debebe; Kalkidan Tesafie. Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia. Eur. Bus. Manag. 2020, 6(2), 36-41. doi: 10.11648/j.ebm.20200602.13

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AMA Style

Gedefaw Abebe, Sisay Debebe, Kalkidan Tesafie. Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia. Eur Bus Manag. 2020;6(2):36-41. doi: 10.11648/j.ebm.20200602.13

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@article{10.11648/j.ebm.20200602.13,
  author = {Gedefaw Abebe and Sisay Debebe and Kalkidan Tesafie},
  title = {Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia},
  journal = {European Business & Management},
  volume = {6},
  number = {2},
  pages = {36-41},
  doi = {10.11648/j.ebm.20200602.13},
  url = {https://doi.org/10.11648/j.ebm.20200602.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ebm.20200602.13},
  abstract = {Chickpea marketing system in Ethiopia is highly immature and poorly organized. This indicates outlet choice is comparatively new and greatly inconstant depending on production situations. The product channeled through complex channel of marketing chains that involve a number of mediators and marketing agents. So, the study was aimed to identify determinant of market outlet choice on chickpea farmers in Dembia district. A two stage sampling technique was used to determine sample size. A total of 150 sample households were randomly selected for an interview using a semi-structured questionnaire and key informants were the other method of data collection. Multivariate probit model was employed to identify the factor affecting chickpea market outlet choices. The result of multivariate probit model showed that literacy status, owning transport facility, livestock holding, chickpea yield and access to extension service significantly influenced the choice of chickpea market outlet choice in the study area. The common underlying factors of market channel choice were also identified. Based on the results, the study recommended that traders, local and national governments, none governmental organizations, policy makers and stakeholders should focus on strengthening the existence formal and informal education, chickpea production system, in improving extension system, strengthening the existing rural telecom and rural-urban infrastructure to achieve good market chain system in the study area as well as at the country level.},
 year = {2020}
}

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TY  - JOUR
T1  - Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia
AU  - Gedefaw Abebe
AU  - Sisay Debebe
AU  - Kalkidan Tesafie
Y1  - 2020/06/20
PY  - 2020
N1  - https://doi.org/10.11648/j.ebm.20200602.13
DO  - 10.11648/j.ebm.20200602.13
T2  - European Business & Management
JF  - European Business & Management
JO  - European Business & Management
SP  - 36
EP  - 41
PB  - Science Publishing Group
SN  - 2575-5811
UR  - https://doi.org/10.11648/j.ebm.20200602.13
AB  - Chickpea marketing system in Ethiopia is highly immature and poorly organized. This indicates outlet choice is comparatively new and greatly inconstant depending on production situations. The product channeled through complex channel of marketing chains that involve a number of mediators and marketing agents. So, the study was aimed to identify determinant of market outlet choice on chickpea farmers in Dembia district. A two stage sampling technique was used to determine sample size. A total of 150 sample households were randomly selected for an interview using a semi-structured questionnaire and key informants were the other method of data collection. Multivariate probit model was employed to identify the factor affecting chickpea market outlet choices. The result of multivariate probit model showed that literacy status, owning transport facility, livestock holding, chickpea yield and access to extension service significantly influenced the choice of chickpea market outlet choice in the study area. The common underlying factors of market channel choice were also identified. Based on the results, the study recommended that traders, local and national governments, none governmental organizations, policy makers and stakeholders should focus on strengthening the existence formal and informal education, chickpea production system, in improving extension system, strengthening the existing rural telecom and rural-urban infrastructure to achieve good market chain system in the study area as well as at the country level.
VL  - 6
IS  - 2
ER  -

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Author Information

Gedefaw Abebe

Department of Agricultural Economics, College of Agriculture and Natural Resource, Bonga University, Bonga, Ethiopia
Sisay Debebe

Department of Economics, College of Business and Economics, Addis Ababa University, Addis Ababa, Ethiopia
Kalkidan Tesafie

Department of Agricultural Economics, Wollega University, School of Graduate Studies, Nekemte, Ethiopia

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APA Style

Gedefaw Abebe, Sisay Debebe, Kalkidan Tesafie. (2020). Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia. European Business & Management, 6(2), 36-41. https://doi.org/10.11648/j.ebm.20200602.13

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ACS Style

Gedefaw Abebe; Sisay Debebe; Kalkidan Tesafie. Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia. Eur. Bus. Manag. 2020, 6(2), 36-41. doi: 10.11648/j.ebm.20200602.13

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AMA Style

Gedefaw Abebe, Sisay Debebe, Kalkidan Tesafie. Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia. Eur Bus Manag. 2020;6(2):36-41. doi: 10.11648/j.ebm.20200602.13

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@article{10.11648/j.ebm.20200602.13,
  author = {Gedefaw Abebe and Sisay Debebe and Kalkidan Tesafie},
  title = {Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia},
  journal = {European Business & Management},
  volume = {6},
  number = {2},
  pages = {36-41},
  doi = {10.11648/j.ebm.20200602.13},
  url = {https://doi.org/10.11648/j.ebm.20200602.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ebm.20200602.13},
  abstract = {Chickpea marketing system in Ethiopia is highly immature and poorly organized. This indicates outlet choice is comparatively new and greatly inconstant depending on production situations. The product channeled through complex channel of marketing chains that involve a number of mediators and marketing agents. So, the study was aimed to identify determinant of market outlet choice on chickpea farmers in Dembia district. A two stage sampling technique was used to determine sample size. A total of 150 sample households were randomly selected for an interview using a semi-structured questionnaire and key informants were the other method of data collection. Multivariate probit model was employed to identify the factor affecting chickpea market outlet choices. The result of multivariate probit model showed that literacy status, owning transport facility, livestock holding, chickpea yield and access to extension service significantly influenced the choice of chickpea market outlet choice in the study area. The common underlying factors of market channel choice were also identified. Based on the results, the study recommended that traders, local and national governments, none governmental organizations, policy makers and stakeholders should focus on strengthening the existence formal and informal education, chickpea production system, in improving extension system, strengthening the existing rural telecom and rural-urban infrastructure to achieve good market chain system in the study area as well as at the country level.},
 year = {2020}
}

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TY  - JOUR
T1  - Analysis of Chickpea Outlet Choices in Dembia District, North Gondar Zone, Ethiopia
AU  - Gedefaw Abebe
AU  - Sisay Debebe
AU  - Kalkidan Tesafie
Y1  - 2020/06/20
PY  - 2020
N1  - https://doi.org/10.11648/j.ebm.20200602.13
DO  - 10.11648/j.ebm.20200602.13
T2  - European Business & Management
JF  - European Business & Management
JO  - European Business & Management
SP  - 36
EP  - 41
PB  - Science Publishing Group
SN  - 2575-5811
UR  - https://doi.org/10.11648/j.ebm.20200602.13
AB  - Chickpea marketing system in Ethiopia is highly immature and poorly organized. This indicates outlet choice is comparatively new and greatly inconstant depending on production situations. The product channeled through complex channel of marketing chains that involve a number of mediators and marketing agents. So, the study was aimed to identify determinant of market outlet choice on chickpea farmers in Dembia district. A two stage sampling technique was used to determine sample size. A total of 150 sample households were randomly selected for an interview using a semi-structured questionnaire and key informants were the other method of data collection. Multivariate probit model was employed to identify the factor affecting chickpea market outlet choices. The result of multivariate probit model showed that literacy status, owning transport facility, livestock holding, chickpea yield and access to extension service significantly influenced the choice of chickpea market outlet choice in the study area. The common underlying factors of market channel choice were also identified. Based on the results, the study recommended that traders, local and national governments, none governmental organizations, policy makers and stakeholders should focus on strengthening the existence formal and informal education, chickpea production system, in improving extension system, strengthening the existing rural telecom and rural-urban infrastructure to achieve good market chain system in the study area as well as at the country level.
VL  - 6
IS  - 2
ER  -

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