Farmers’ Preferences for Farming Enclaves in Forest Reserves of South-West, Nigeria: A Discrete Choice Experiment
Asian Journal of Research in Agriculture and Forestry,
Aims: Acquiring suitable land for agricultural purposes is a challenge for most prospective farmers in South-West, Nigeria. This makes them acquire lands in government-owned forest reserves with special contractual agreements. Therefore, we evaluate farmers’ preferences for selected attributes of farming enclaves in four hypothetical forest reserves in South-West, Nigeria.
Study Design: An orthogonal main effects design was used to construct the choice sets used for preference elicitation.
Place and Duration of Study: The study was conducted in December, 2017 in randomly selected communities of Oluyole Local government area of Oyo State, South-West, Nigeria.
Methodology: Focus group discussions and relevant literature search were conducted to identify the relevant attributes. Four hypothetical forest reserves were considered and the selected attributes were size of the farmland, type of cropping system and land rent fee per hectare. Multistage sampling techniques were used to select 100 farmers and data were collected via face-to- interview. Multinomial logit model was used to analyse the data and willingness to pay for each of the selected attributes was also calculated.
Results and Conclusion: We find that farmers value intercropping system the most. The coefficient of land rent fee (per hectare) is negative and significant implying that farmers obtain higher utility from very low land rent fees. They are willing to pay an extra 12.50 US Dollars land rent fees (per hectare) to have intercropping on a particular farming enclave while avoiding other enclaves with other cropping systems. Farm size and taungya do not contribute significantly to the farmers’ choice of farming enclave. These results will help forest reserve managers in formulating policies that will benefit farmers without jeopardising efficient management of forest resources.
- Farmland acquisitions
- cropping systems
- willingness to pay
- multinomial logit model
How to Cite
UN Convention to Combat Desertification (UNCCD). Land and Sustainable Development Goals; 2018. Accessed 23 October 2020.
Otekunrin OA, Otekunrin OA, Momoh S, Ayinde IA. How far has Africa gone in achieving the Zero Hunger Target? Evidence from Nigeria. Glob. Food Sec. 2019a;22:1-12. DOI:https://doi.org/10.1016/j.gfs.2019.08.001
Otekunrin OA, Momoh S, Ayinde IA, Otekunrin OA. How far has Africa gone in achieving the Sustainable Development Goals? Exploring the African dataset. Data Br. 2019b;27(104647). DOI:https://doi.org/10.1016/j.dib.2019.104647
UN World Population Prospects. Nigeria Population; 2020 (Live). Accessed 23 October 2020. Available:https://worldpopulationreview.com
Adamu CO. Land acquisition and types of crops cultivated by farmers in Ayedaade Local Government Area, Osun State, Nigeria. AJAEES 2014;3(6):738-45. Accessed 4 November 2020. Available:https://www.journalajaees.com/index.php/AJAEES/article/download/28295/53177.
Obayelu AE, Arowolo AO, Osinowo OH. Land tenure, governance and accountability in Nigeria:The implications on food production to feed the present and the future. JADE 2017;6(1). Accessed 30 October 2020. Available:http://digitalcommons.unl.edu/jade/33.
Otekunrin OA, Otekunrin OA, Oni LO. Attitude and academic success in practical agriculture:Evidence from public single-sex high school students in Ibadan, Nigeria. AJARR 2019c;4(3):1-18. https://doi.org/10.9734/ajarr/2019/v4i330111
De Zoysa R. The implications of large scale land acquisition on small landholder’s food security. The Bartlett Development Planning Unit (DPU) Working Paper 2013;156. Accessed 4 November 2020. Available:https://www.ucl.ac.uk/bartlett/development/sites/bartlett/files/migrated-files/WP156_0.pdf.
Oluwatayo IB, Timothy O, Ojo AO. Land acquisition and use in Nigeria:implications for sustainable food and livelihood security. In:Land Use - Assessing the Past, Envisioning the Future. IntechOpen. 2019. http://dx.doi.org/10.5772/intechopen.79997
Birner R, Okumo A. Challenges of land governance in Nigeria:Insights from a case study in Ondo State. NSSP Working Paper 22. Washington, D.C.:International Food Policy Research Institute (IFPRI). 2011. Accessed 25 October 2020. Available:http://ebrary.ifpri.org/cdm/ref/collection/p15738coll2/id/126875. 25.10.2020
Eze CC, Konkwo SO, Orebiyi JS, Kadiri FA. Land tenure system, farm size, innovation and agricultural productivity in South-East Nigeria. In:Contributed Paper for the 85th Annual Conference of the Agricultural Economics Society, held at Warwick University, Coventry, UK 2011. DOI:10.22004/ag.econ.108934.
Nmadu JN, Inalegwu WO, Sallawu H. Acquisition and management of land resources for agricultural production in Benue State, Nigeria. AJAEES 2014;3(1):63-75. https://doi.org/10.9734/AJAEES/2014/7707
Ogundare BA. A comparative analysis of agricultural land use in Ikere-Ekiti, Nigeria. JRDM 2016;27. Accessed 4 November 2020.
Nafziger E. Cropping systems In:Illinois Agronomy Handbook. 2009. Accessed 25 October 2020. Available:http://extension.cropsciences.illinois.edu/handbook/pdfs/chapter05.pdf
Chamshama SAO, Monela GC, Sekiete KEA, Persson A. Suitability of the taungya system at North Kilimanjaro Forest Plantation, Tanzania. Agroforestry Systems 1992;17:1-11. https://doi.org/10.1007/BF00122924
Ndomba OA, Bakengesa S, Petro R, Maguzu J, Chamshama, SAO., Kiimu, HR et al. Perils of taungya to the productivity of forest plantations and need for modification:Case study of Meru Forest Plantation in Tanzania. International Journal of Agriculture and Forestry. 2015;5(5):267-75.10.5923/j.ijaf.20150505.01
Tetteh EK, Morris S, Titcheneker-Hooker N. Discrete-choice modelling of patient preferences for modes of drug administration. Health Econ. Rev. 2017;7:26. 10.1186/s13561-017-0162-6
Oyinbo O, Chamberlin J, Vanlauwe B, Vrankena L, Kamarad YA, Craufurd P. et al. Farmers' preferences for high-input agriculture supported by site-specific extension services:Evidence from a choice experiment in Nigeria. Agric. Syst. 2019;173:12-26. DOI:https://doi.org/10.1016/j.agsy.2019.02.003
Probstl-Haider U, Mostegl NM, Kelemen-Finan J, Haider W, Formayer H, Kantelhardt J. et al. Farmers’ preferences for future agricultural land use under the consideration of climate change. Environmental Management 2016;58:446–64. 10.1007/s00267-016-0720-4
Vaissiѐre AC, Tardieu L, Quetier F, Roussel S. Preferences for biodiversity offset contracts on arable land:A choice experiment study with farmers. ERAE 2018;45(4):553-82. DOI:https://doi.org/10.1093/erae/jby006
Tarfasa S, Balana BB, Tefera T, Woldeamanuel T, Moges A, Dinato M. et al. Modeling smallholder farmers' preferences for soil management measures:A case study from South Ethiopia. Ecol. Econ. 2018;145:410-19. DOI:https://doi.org/10.1016/j.ecolecon.2017.11.027
Van den Broeck G, Vlaeminck P, Raymaekers K, Velde KV, Vranken L, Maertens M. Rice farmers' preferences for fairtrade contracting in Benin:Evidence from a discrete choice experiment. J. Clean. Prod. 2017;165:846-54. http://dx.doi.org/10.1016/j.jclepro.2017.07.128
Ojo SO. Effects of land acquisition for large scale farming on the performance of small scale farming in Nigeria. J. Hum. Ecol. 2008;24(1):35-40. DOI:https://doi.org/10.1080/09709274.2008.11906096
Okezie CA, Ahuchuogu CU, Jamalludin S. Exploring the link between land fragmentation and agricultural productivity. Int. J. Agric. For. 2012;2(1):30-34. 10.5923/j.ijaf.20120201.05
Ajayi SS. In situ conservation of wildlife in West Africa. In:Wildlife Conservation in Africa:A Scientific Approach. Elsevier, London, UK. 2019. 141-72. https://doi.org/10.1016/B978-0-12-816962-9.00015-6
Larinde SL, Olasupo OO. Socio-economic importance of fuelwood production in Gambari Forest Reserve Area, Oyo State, Nigeria. Journal of Agriculture and Social Research 2011;11(1):201-10. Accessed 4 November 2020. Available:https://www.ajol.info/index.php /jasr/article/view/73703.
Ikemeh RA. Sustainable forest management in a human dominated landscape and its implications for biodiversity conservation:A Nigerian lowland forest perspective. Research and Reports in Biodiversity Studies. 2013;3:9-23. DOI:http://dx.doi.org/10.2147/RRBS.S35442
Dinitz JH, Froncek D, Lamken ER, Wallis WD. Scheduling a Tournament. In:Colbourn CJ, Dinitz JH, editors. Handbook of Combinatorial Designs. Boca Raton:CRC Press;2007.
Alawode OA, Amahia GN. Training schedules for sixteen Ayo players using some Balanced Incomplete Block Designs. Science Focus. 2008;13(2):56-69. Accessed 4 November 2020. Available:https://www.researchgate.net/publication/318722019_Training_Schedules_for_Sixteen_Ayo_Players_Using_some_Balanced_Incomplete_Block_Designs#fullTextFileContent.
Johnson FR, Lancsar E, Marshall D, Kilambi V, Mühlbacher A, Regier DA et al. Constructing experimental designs for discrete-choice experiments:Report of the ISPOR conjoint analysis experimental design good research practices task force. Value Health 2013;16:3–13. 10.1016/j.jval.2012.08.2223
Otekunrin OA. Result Processing Scheme for University of Ibadan Statistics Department using Anonymous Threshold Scheme. Annals. Computer Science Series 2016;14(2):59-62. Accessed 4 November 2020. Available:http://anale-informatica.tibiscus.ro/download/lucrari/14-2-09-Otekunrin.pdf.
Jaynes J, Wong WK, Xu H. Using blocked fractional factorial designs to construct discrete choice experiments for healthcare studies. Stat. Med. 2016;35:2543-60. DOI:10.1002/sim.6882
Elshiewy O, Guhl D, Boztuğ Y. Multinomial logit models in marketing – from fundamentals to state-of-the-art. ZFP Journal of Research and Management. 2017;39(3):32-49. DOI:10.15358/0344-1369-2017-3-32
Otekunrin OA, Oliobi, CE. Modelling students’ preferences for mobile telecommunication plans:A discrete choice experiment. ACRI 2021;21(3):1-10. DOI:10.9734/ACRI/2021/v21i330234
Green PE. On the design of choice experiments involving multifactor alternatives. J. Consum. Res. 1974;1(2):61–68. DOI:https://doi.org/10.1086/208592
Demirkale F, Donovan D, Street DJ. Constructing D-optimal symmetric stated preference discrete choice experiments. J. Stat. Plan. Inference 2013;143:1380–91. DOI:http://dx.doi.org/10.1016/j.jspi.2013.02.004
Lancsar E, Louviere J. Conducting discrete choice experiments to inform healthcare decision making. A User’s Guide. Pharmacoeconomics. 2008;26(8):661-77. DOI:10.2165/00019053-200826080-00004
Bridges JFP, Hauber AB, Marshall D, Lloyd A, Prosser LA, Regier DA et al. Conjoint analysis applications in health—a checklist: A report of the ISPOR good research practices for conjoint analysis task force. Value Health 2011;14(4):403-413. DOI:https://doi.org/10.1016/j.jval.2010.11.013
Thurstone L. A law of comparative judgement. Psychol. Rev. 1927;34(4):273-86. DOI:https://doi.org/10.1037/h0070288
McFadden D. Conditional logit analysis of qualitative choice behaviour, In:Zarembka P. editor. Frontiers in Econometrics. New York:Academic Press;1974.
Train K. Discrete choice methods with simulation. 2nd ed. Cambridge:Cambridge University Press; 2009. DOI:10.1017/CBO9780511805271
Rolfe J, Bennett J, Louviere J. Choice modelling and its potential application to tropical rainforest preservation. Ecol. Econ. 2000;35(2):289–302. DOI:10.1016/S0921-8009(00)00201-9
Ranasingha RGSM, Edirisinghe JC, Ratnayake RHMK. Willingness to pay for fruit attributes:a conjoint analysis. JAS 2019;14(2):102-10. DOI:http://dx.doi.org/10.4038/jas.v14i2.8512
Hirschberg J, Lye J. A geometric comparison of the Delta and Fieller Confidence Intervals. Am. Stat. 2010;64(3):234-41. https://doi.org/10.1198/tast.2010.08130
Beyene J, Moineddin R. Methods for confidence interval estimation of a ratio parameter with application to location quotients. BMC Med. Res. Methodol. 2005;5:32. DOI:10.1186/1471-2288-5-32
Saka JO. Productivity and income potentials of intercrop combinations among food crop farmers in Southwestern Nigeria. African Journal of Agricultural Research. 2015;10(52):4730-37. Accessed 4 November 2020.
Agera SIN, Adegeye AO, Jimoh SO. Appraisal of Taungya Farming as a sustainable land-use option in Vandeikya local government of Benue State, Nigeria. Journal of Research in Forestry, Wildlife and Environment 2010;2(1):32- 43.
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