IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/vxn92.html
   My bibliography  Save this paper

The Impact of Market Outlets Choice on Beekeepers’ Income in Rural Poor: A Case Study of Badakhshan Province

Author

Listed:
  • Yolchi, Jamshid

Abstract

This research carried out to uncover the effect of beekeeping on the income of rural poor and to which extent that market outlet choice affects the income of beekeepers. The findings of Multinomial Logit regression, from 129 questionnaires of 4 districts indicate that there is no relationship between market outlet choice and income of beekeepers. The income of beekeepers is mostly affected by their family size and working experience. But the factors affecting to choose the home selling market outlet is very different from those of three other channels. In order to promote the income of beekeepers, it’s recommended that the government and other involved NGOs work on arrangements on wholesale opportunities for beekeepers. Because over 102 out of 129 samples have indicated that their products aren’t sold out on time. It means that there is a huge opportunity of filling the gap of honey demand in Afghanistan by promoting the links between producers and buyers.

Suggested Citation

  • 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.
    • Handle: RePEc:osf:osfxxx:vxn92
    DOI: 10.31219/osf.io/vxn92
    as

    Download full text from publisher

    File URL: https://osf.io/download/60aa801d8a5d3d01b30c9abb/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/vxn92?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. Rich, Karl M. & Baker, Derek & Negassa, Asfaw & Ross, R. Brent, 2009. "Concepts, applications, and extensions of value chain analysis to livestock systems in developing countries," 2009 Conference, August 16-22, 2009, Beijing, China 51922, International Association of Agricultural Economists.
    2. Glenn P. Jenkins & Mikhail Miklyaev, 2014. "Honey Production In Ethiopia: A Cost-Benefit Analysis Of Modern Versus Traditional Beekeeping Technologies," Development Discussion Papers 2013-17, JDI Executive Programs.
    3. Lie, Helene & Rich, Karl M., 2016. "Modeling Dynamic Processes in Smallholder Dairy Value Chains in Nicaragua: A System Dynamics Approach," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 7(4), pages 1-13, July.
    4. 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.
    5. Xaba, Bongiwe G & Masuku, Micah B, 2013. "Factors Affecting the Choice of Marketing Channel by Vegetable Farmers in Swaziland," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 2(1).
    6. Lorenzo Cappellari & Stephen P. Jenkins, 2003. "Multivariate probit regression using simulated maximum likelihood," Stata Journal, StataCorp LP, vol. 3(3), pages 278-294, September.
    7. Veronica Giwashi Maigida & Mikhail Miklyaev & Glenn P. Jenkins, 2021. "Cost-Benefit Analysis of Honey Production in Ethiopia: A Modern Versus Traditional Beekeeping Technologies," Development Discussion Papers 2021-09, JDI Executive Programs.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Nguyen Hung Anh & Wolfgang Bokelmann, 2019. "Determinants of Smallholders’ Market Preferences: The Case of Sustainable Certified Coffee Farmers in Vietnam," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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).
    15. repec:gat:wpaper:1509 is not listed on IDEAS
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. Carboni, Oliviero A. & Medda, Giuseppe, 2021. "External R&D and product innovation: Is over-outsourcing an issue?," Economic Modelling, Elsevier, vol. 103(C).
    21. 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).

    More about this item

    Statistics

    Access and download statistics

    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:osf:osfxxx:vxn92. 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: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    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.