Determinants of farmer participation in direct marketing channels: A case study for cassava in the Oyo State of Nigeria

  • Emmanuel Donkor University College Cork, Centre for Sustainable Livelihood, Dept. Food Business and Development, O'Rahilly Building. College Road, Cork. Ireland Universidad Politécnica de Madrid, School of Agriculture, Food and Biosystems. Ciudad Universitaria, s/n. 28040 Madrid. Spain. http://orcid.org/0000-0001-9279-1484
  • Stephen Onakuse University College Cork, Centre for Sustainable Livelihood, Dept. Food Business and Development, O'Rahilly Building. College Road, Cork
  • Joe Bogue University College Cork, Centre for Sustainable Livelihood, Dept. Food Business and Development, O'Rahilly Building. College Road, Cork
  • Ignacio De los Rios-Carmenado Universidad Politécnica de Madrid, School of Agriculture, Food and Biosystems. Ciudad Universitaria, s/n. 28040 Madrid
Keywords: Bivariate Tobit, market participation, Manihot esculenta Crantz, 5-capital framework, rural development, econometrics, agricultural market

Abstract

Improving rural farmers’ access to direct agricultural markets is required to ensure sustainable supply of food. Rural farmers in the developing world account for the largest share of food supply including cassava. Globally, cassava (Manihot esculenta Crantz) is recognised as an important source of valuable semi-processed industrial raw materials such as ethanol, high-quality cassava flour and starch. However, there is less empirical research on rural farmers’ participation in direct marketing channels in the cassava sector. This study focused on analysing the determinants of farmer participation in direct marketing channels using the case of the cassava sector in the Oyo State of Nigeria. The Bivariate Tobit model was applied in the empirical analysis, based on a primary dataset generated from 400 rural cassava farmers from the Oyo State of Nigeria. The result showed that, in general, farmers sold a higher percentage of their cassava output to processors. The Bivariate Tobit results showed that human capital, physical capital, social capital, and market conditions had significant effects on farmers’ decisions on whether to sell their cassava output directly to processors or middlemen. On the contrary, natural and financial capitals did not significantly affect farmers’ marketing channel decision. The study recommends that policy instruments should target improving road networks in rural areas, enhancing farmers’ access to market information, and increasing membership of farmer association to ensure an active participation of farmers in the direct marketing channels.

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References

Adejobi AO, Adeyemo VA, 2012. The nature and determinants of channel levels in cassava tubers and cassava products market in Southwest Nigeria. J Int Food Agribus Market 24 (4): 273-287. https://doi.org/10.1080/08974438.2012.691824

AfDB, OECD, UNDP, 2016. African economic outlook 2016. Special theme: Sustainable cities and structural transformation (15th ed.). http://www.africaneconomicoutlook.org

Aker JC, Fafchamps M, 2013. Mobile phone coverage and producer markets: Evidence from West Africa. CSAE Working Paper, WPS/2013-09.

Aker JC, Ksoll C, 2016. Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger. Food Policy 60: 44-51. https://doi.org/10.1016/j.foodpol.2015.03.006

Alene AD, Manyong, VM, Omanya G, Mignouna HD, Bokanga M, Odhiambo G, 2008. Smallholder market participation under transactions costs: Maize supply and fertiliser demand in Kenya. Food Policy 33 (4): 318-328. https://doi.org/10.1016/j.foodpol.2007.12.001

Barrera-Mosquera V, de los Rios-Carmenado I, Cruz-Collaguazo E, Coronel-Becerra J, 2010. Analysis of available capitals in agricultural systems in rural communities: the case of Saraguro, Ecuador. Span J Agric Res 8 (4): 1191-1207. https://doi.org/10.5424/sjar/2010084-1408

Barrett CB, 2008. Smallholder market participation: concepts and evidence from eastern and southern Africa. Food Policy 33: 299-317. https://doi.org/10.1016/j.foodpol.2007.10.005

Bellemare MF, Barrett CB, 2006. An ordered Tobit model of market participation: Evidence from Kenya and Ethiopia. Am J Agric Econ 88 (2): 324-337. https://doi.org/10.1111/j.1467-8276.2006.00861.x

Carney D (ed), 1998. Implementing the sustainable rural livelihoods approach. In: Sustainable rural livelihoods: what contribution can we make? Department for International Development (DFID), Oxford, UK. pp: 20-32.

Chena S, Zhou X, 2011. Semi-parametric estimation of a bivariate Tobit model. J Econometrics 165: 266-274. https://doi.org/10.1016/j.jeconom.2011.07.005

de Janvry A, Fafchamps M, Sadoulet E, 1991. Peasant household behaviour with missing markets: some paradoxes explained. Econ J 101: 1400-1417. https://doi.org/10.2307/2234892

Díaz-Puente JM, Cazorla A, De Los Ríos I, 2009. Empowering communities through evaluation: some lessons from rural Spain. Community Dev 44 (1): 53-67. https://doi.org/10.1093/cdj/bsm008

Donkor E, Onakuse O, Bogue J, De Los Rios IC, 2017. The impact of the presidential cassava initiative on cassava productivity in Nigeria: Implication for sustainable food supply and food security. Cogent Food Agric 13: 1-14. https://doi.org/10.1080/23311932.2017.1368857

Donkor E, Onakuse S, Bogue J, De Los Rios IC, 2018. Promoting value addition among farmers in the cassava food value chain in Nigeria. Brit Food J, Forthcoming. https://doi.org/10.1108/BFJ-01-2018-0030

Donovan J, Stoian D, 2012. 5Capitals: a tool for assessing the poverty impacts of value chain development. Technical Bulletin CATIE No. 7. Tropical Agricultural Research and Higher Education Centre (CATIE), Turrialba, Costa Rica.

Enete AA, Igbokwe EM, 2009. Cassava market participation decisions of producing households in Africa. Tropicultura 27 (3): 129-136. http://www.tropicultura.org/text/v27n3/129.pdf

Flora C, Flora J, Fey S, 2004. Rural communities: legacy and change, 2nd ed. Westview Press, Boulder, CO, USA. pp: 17-20, 60-66.

Gujarati DN, 2004. Basic econometrics, 4th Ed. p: 363. The McGraw-Hill Companies.

Jari B, Fraser CG, 2009. An analysis of institutional and technical factors influencing agricultural marketing amongst smallholder farmers in the Kat River Valley, Eastern Cape, South Africa. Afr J Agric Res 4 (11): 1129-1137. http://www.academicjournals.org/ajar

Leclere MJ, 1994. The decomposition of coefficients in censored regression models: understanding the effect of independent variables on taxpayer behaviour. National Tax J 47 (4): 837-845.

Martey E, Annin K, Wiredu AN, Attoh C, 2012. Does access to market information determine the choice of marketing channel among smallholder yam farmers in the Brong Ahafo Region of Ghana? A multinomial logit regression analysis. J Econ Sustain Dev 3 (12): 18-28. http://www.iiste.org/Journals/index.php/JEDS/article/view/3467

Mather D, Boughton D, Jayne TS, 2013. Explaining smallholder maize marketing in southern and eastern Africa: The roles of market access, technology and household resource endowments. Food Policy 43: 248-266. https://doi.org/10.1016/j.foodpol.2013.09.008

Osmani AG, Hossain E, 2015. Market participation decision of smallholder farmers and its determinants in Bangladesh. Econ Agric 62 (1): 163-179. https://ageconsearch.umn.edu/bitstream/200519/2/11%20EP%201%202015.pdf

Owusu V, Donkor E, 2012. Adoption of cassava varieties in Ghana. Agric J 7 (2): 146-151.

Shilpi F, Umali-Deininger D, 2008. Market facilities and agricultural marketing: evidence from Tamil Nadu, India. Agric Econ 39: 281-294. https://doi.org/10.1111/j.1574-0862.2008.00333.x

Sigei KG, Bett KH, Kiprop KJ, Odipo OT, 2015. Factors influencing the choice of marketing channels among small-scale pineapple farmers in Kericho County, Kenya. Int J Reg Dev 2 (2): 1-11. https://pdfs.semanticscholar.org/4678/8e7c1a50feeb90e28c1dd55b916326f7e3a9.pdf

Tadesse G, Shively G, 2013. Repeated transaction in rural grain markets of Ethiopia. J Dev Stud 49 (9): 1172-1187. https://doi.org/10.1080/00220388.2012.740015

Tadesse G, Bahiigwa G, 2015. Mobile phones and farmers' marketing decisions in Ethiopia. World Dev 68: 296-307. https://doi.org/10.1016/j.worlddev.2014.12.010

Umberger WJ, Reardon T, Stringer R, Loose SM, 2015. Market-channel choices of Indonesian potato farmers: A best-worst scaling experiment. Bull Indones Econ Stud 51 (3): 461-477. https://doi.org/10.1080/00074918.2015.1108389

Ward H, 1995. Rational choice theory. In: Theories and Methods in Political Science, Marsh D & Stoker G (Eds), pp: 76-93. Macmillan, London. https://doi.org/10.1007/978-1-349-24106-4_5

Published
2018-07-11
How to Cite
Donkor, E., Onakuse, S., Bogue, J., & De los Rios-Carmenado, I. (2018). Determinants of farmer participation in direct marketing channels: A case study for cassava in the Oyo State of Nigeria. Spanish Journal of Agricultural Research, 16(2), e0106. https://doi.org/10.5424/sjar/2018162-12076
Section
Agricultural economics