IDEAS home Printed from https://ideas.repec.org/a/spr/agfoec/v5y2017i1d10.1186_s40100-017-0090-0.html
   My bibliography  Save this article

Determinants of honey producer market outlet choice in Chena District, southern Ethiopia: a multivariate probit regression analysis

Author

Listed:
  • Kassa Tarekegn

    (Bonga Agricultural Research Center, Southern Agricultural Research Institute)

  • Jema Haji

    (Haramaya University)

  • Bosena Tegegne

    (Haramaya University)

Abstract

Marketing outlets choice is one of the most important farm household decisions to sell their produce and has a great impact on household income. Though the study area has great potential of honey production, the farmers in the study area faced the marketing problem in choice of appropriate honey market outlets. This study was therefore carried out to analyze determinants of honey producers’ market outlet choice decisions in Chena district. A total of 154 honey-producing households were surveyed, and the data obtained were analyzed by using multivariate probit model. The results show that most sampled households in the study area sell their honey to cooperative outlet as compare to other outlets. The results of the econometric model show the dependency of household level marketing decisions as a strategy to maximize their incomes in the long term. The model results also reveal that the quantity of honey sold, frequency extension contact, beekeeping experience, distance to nearest market, market information about each outlet, cooperative membership, and trust in buyers determine market outlet choice decision of honey producers in the study area. Expanding equal accessibility of infrastructures, establishing honey collection centers in potential production areas, increasing the frequency of extension contact, and organizing additional beekeepers into honey cooperatives is suggested.

Suggested Citation

  • Kassa Tarekegn & Jema Haji & Bosena Tegegne, 2017. "Determinants of honey producer market outlet choice in Chena District, southern Ethiopia: a multivariate probit regression analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 5(1), pages 1-14, December.
    • Handle: RePEc:spr:agfoec:v:5:y:2017:i:1:d:10.1186_s40100-017-0090-0
    DOI: 10.1186/s40100-017-0090-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1186/s40100-017-0090-0
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1186/s40100-017-0090-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Muthini, Davis Nguthi, 2015. "An assessment of mango famer's choice of marketing channels in Makueni, Kenya," Research Theses 204866, Collaborative Masters Program in Agricultural and Applied Economics.
    2. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karing’u kelvin Njuguna & Hezron Nyarindo Isaboke & Samuel Njiri Ndirangu, 2022. "Determinants of smallholders’ choice of avocado marketing outlets and profitability in Murang’a County, Kenya," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
    2. Rajabu Joseph Kangile & Charles Peter Mgeni & Zena Theopist Mpenda & Stefan Sieber, 2020. "The Determinants of Farmers’ Choice of Markets for Staple Food Commodities in Dodoma and Morogoro, Tanzania," Agriculture, MDPI, vol. 10(5), pages 1-12, April.
    3. Yemane Asmelash Gebremariam & Joost Dessein & Beneberu Assefa Wondimagegnhu & Mark Breusers & Lutgart Lenaerts & Enyew Adgo & Zemen Ayalew & Amare Sewenet Minale & Jan Nyssen, 2021. "Determinants of Farmers’ Level of Interaction with Agricultural Extension Agencies in Northwest Ethiopia," Sustainability, MDPI, vol. 13(6), pages 1-24, March.
    4. Mugenzi, Patrice & Owour, George & Bett, Hillary K., 2021. "Factors Influencing Smallholder Potato Farmers’ Choice Decisions of Market Outlets in Musanze and Nyabihu Districts, Rwanda: A Multivariate Probit Model," 2021 Conference, August 17-31, 2021, Virtual 315163, International Association of Agricultural Economists.
    5. N’Banan Ouattara & Xueping Xiong & Chenguang Guo & Lacina Traoré & Zié Ballo, 2022. "Econometric Analysis of the Determinants of Rice Farming Systems Choice in Côte d’Ivoire," SAGE Open, , vol. 12(2), pages 21582440221, May.
    6. Walter Amuko & Stephen W. Kalule & Walter Odongo, 2023. "The relationship between market information and entrepreneurial orientation: the case of smallholder honey producers in Northern Uganda," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-17, December.
    7. Oscar Ingasia Ayuya & Katrine Soma & Benson Obwanga, 2021. "Socio-Economic Drivers of Fish Species Consumption Preferences in Kenya’s Urban Informal Food System," Sustainability, MDPI, vol. 13(9), pages 1-15, May.
    8. Yolchi, Jamshid, 2021. "The Impact of Market Outlets Choice on Beekeepers’ Income in Rural Poor: A Case Study of Badakhshan Province," OSF Preprints vxn92, Center for Open Science.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ke Liu & Zhenhong Qi & Li Tan & Caiyan Yang & Canwei Hu, 2023. "Mixed Use of Chemical Pesticides and Biopesticides among Rice–Crayfish Integrated System Farmers in China: A Multivariate Probit Approach," Agriculture, MDPI, vol. 13(8), pages 1-17, August.
    2. Marina Rybalka, 2015. "The innovative input mix. Assessing the importance of R&D and ICT investments for firm performance in manufacturing and services," Discussion Papers 801, Statistics Norway, Research Department.
    3. Fernandez-Cornejo, Jorge & Wechsler, Seth James, 2012. "Fifteen Years Later: Examining the Adoption of Bt Corn Varieties by U.S. Farmers," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124257, Agricultural and Applied Economics Association.
    4. Jianglin Lu & Keqiang Wang & Hongmei Liu, 2022. "Residents’ Selection Behavior of Compensation Schemes for Construction Land Reduction: Empirical Evidence from Questionnaires in Shanghai, China," Land, MDPI, vol. 12(1), pages 1-29, December.
    5. Cinzia Di Novi, 2007. "An Economic Evaluation of Life-Style and Air-pollution-related Damages: Results from the BRFSS," JEPS Working Papers 07-001, JEPS.
    6. Alejandro García-Pozo & Juan Antonio Campos-Soria & J. Aníbal Núñez-Carrasco, 2021. "Technological innovation and productivity across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(1), pages 167-187, August.
    7. Simona Iammarino & Francesca Sanna-Randaccio & Maria Savona, 2007. "The perception of obstacles to innovation. Multinational and domestic firms in Italy," Working Papers of BETA 2007-12, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8. Alberto Bayo-Moriones & Jose E. Galdon-Sanchez & Maia Güell, 2010. "Is seniority-based pay used as a motivational device? Evidence from plant-level data," Research in Labor Economics, in: Jobs, Training, and Worker Well-being, pages 155-187, Emerald Group Publishing Limited.
    9. Raghbendra Jha & Hari K. Nagarajan & Woojin Kang & Kailash C. Pradhan, 2014. "Panchayats and Household Vulnerability in Rural India," ASARC Working Papers 2014-08, The Australian National University, Australia South Asia Research Centre.
    10. Dang, Hoa Le & Pham, Thuyen Thi & Pham, Nhung Thi Hong & Nam, Pham Khanh, 2022. "Gender-Differentiated Determinants of Rice Farmers' Choice of Strategies to Adapt to Salinity Intrusion in the Mekong Delta, Vietnam," EfD Discussion Paper 22-9, Environment for Development, University of Gothenburg.
    11. Zahler, Andrés & Goya, Daniel & Caamaño, Matías, 2022. "The primacy of demand and financial obstacles in hindering innovation," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. repec:gat:wpaper:1509 is not listed on IDEAS
    13. Izabela Jelovac & Philippe Polomé, 2017. "Incentives to patients versus incentives to health care providers: The users' perspective," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 319-331, December.
    14. Michael Peneder & Spyros Arvanitis & Christian Rammer & Tobias Stucki & Martin Wörter, 2022. "Policy instruments and self-reported impacts of the adoption of energy saving technologies in the DACH region," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 49(2), pages 369-404, May.
    15. Bronwyn H. Hall & Francesca Lotti & Jacques Mairesse, 2013. "Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(3), pages 300-328, April.
    16. Florence Goffette-Nagot & Claire Dujardin, 2005. "Neighborhood effects, public housing and unemployment in France," Working Papers 0505, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    17. Carboni, Oliviero A. & Medda, Giuseppe, 2021. "External R&D and product innovation: Is over-outsourcing an issue?," Economic Modelling, Elsevier, vol. 103(C).
    18. Johansson, Robert C. & Kara, Erdal & Ribaudo, Marc, 2006. "On how environmental stringency influences BMP adoption," 2006 Annual meeting, July 23-26, Long Beach, CA 21207, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Soriano, Franklin A. & Villano, Renato A. & Fleming, Euan M. & Battese, George E., 2018. "What’s driving innovation in small businesses in Australia? The case of the food industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), October.
    20. Di Novi, Cinzia & Martini, Gianmaria & Sturaro, Caterina, 2023. "The impact of informal and formal care disruption on older adults’ psychological distress during the COVID-19 pandemic in UK," Economics & Human Biology, Elsevier, vol. 49(C).
    21. N’Banan Ouattara & Xueping Xiong & Chenguang Guo & Lacina Traoré & Zié Ballo, 2022. "Econometric Analysis of the Determinants of Rice Farming Systems Choice in Côte d’Ivoire," SAGE Open, , vol. 12(2), pages 21582440221, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:agfoec:v:5:y:2017:i:1:d:10.1186_s40100-017-0090-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.