POULTRY FARMERS’ PREFERENCES FOR SOLAR PHOTOVOLTAICS AS A MAJOR SOURCE OF ENERGY IN OYO STATE, NIGERIA
Abstract
Amidst rising food insecurity, Nigerians are confronted with the problem of an insufficient grid supply of electricity to support active development of the economy. The problem has lingered as fuel prices have surged following the Nigerian Government’s declaration of the cessation of fuel import subsidies. However, solar photovoltaics remain a competitive alternative given their growing popularity; thus, having more insight into farmers’ preferences for solar PV will allow suppliers and the government to develop products that can help stimulate business viability as well as energy policy. This study examined poultry farmers’ preferences for solar photovoltaics as a major source of energy in Oyo State. Primary data were obtained from 150 poultry farmers using multistage sampling. Results from the choice models show that as the capacity of solar systems increases, the likelihood of choosing an alternative over the status quo also increases. The brand variable was also significant, indicating the relevance of certain brands to farmers’ choices. The cost parameter was negative, which means there is an inverse relationship between price and the selection of an alternative. Also, farms with more birds (>1000), higher incomes and educated farmers were more likely to adopt solar PV than other current options. Further implications of the results are discussed.
Keywords
food security; sustainable energy; poultry; willingness to pay; marketing mix; choice modelling
References
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-Preference-Methods-Using-R/Aizaki-Nakatani-Sato/p/book/9781439890479
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Atilgan, A., Koknaroglu, H. (2006). Cultural energy analysis on broilers reared in different capacity poultry houses. Italian J. Animal Sci., 5, 393–400. https://doi.org/10.4081/ijas.2006.393
Bag, S., Rahman, M.S., Srivastava, G., Chan, H.L., Bryde, D.J. (2022). The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events. Int. J. Prod. Econ., 251, 108541. https://doi.org/10.1016/j.ijpe.2022.108541
Bao, Q., Sinitskaya, E., Gomez, K.J., MacDonald, E.F., Yang, M.C. (2020). A human-centered design approach to evaluating factors in residential solar PV adoption: A survey of homeowners in California and Massachusetts. Renew. Energy, 151, 503–513. https://doi.org/10.1016/j.renene.2019.11.047
Bhadauria, P., Kataria, J.M., Majumdar, S., Bhanja, S.K., Kolluri, G. (2014). Impact of hot climate on poultry production system-a review thermoregulatory mechanism of poultry. J. Poult. Sci. Technol., 2(4), 56–63. Retrieved from: https://www.academia.edu/10044750/Impact_of_Hot_Climate_on_Poultry_Production_System-A_Review
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Campo, J.L., Gil, M.G., Dávila, S.G. (2005). Effects of specific noise and music stimuli on stress and fear levels of laying hens of sev-eral breeds. Appl. Anim. Beh. Sci., 91(1–2), 75–84. https://doi.org/10.1016/j.applanim.2004.08.028
Cui, Y., Xue, X., Riffat, S. (2021). Cost Effectiveness of Poultry Production by Sustainable and Renewable Energy Source. Meat Nutr. https://doi.org/10.5772/INTECHOPEN.97543
Dutch Ministry of Foreign Affairs (2020). Poultry Sector Study Nigeria. Netherlands Enterprise Agency.
Elegbede, O., Kerr, J., Richardson, R., Sanou, A. (2021). Using a choice experiment to understand preferences in off-grid solar electric-ity attributes: The case of Nigerian households. Energy Sustain. Dev., 60, 33–39. https://doi.org/10.1016/j.esd.2020.12.001
Emili, S., Ceschin, F., Harrison, D. (2016). Product–Service System applied to Distributed Renewable Energy: A classification system, 15 archetypal models and a strategic design tool. Energy Sustain. Dev., 32, 71–98. https://doi.org/10.1016/J.ESD.2016.03.004
FAO (2018). Livestock and livelihoods spotlight NIGERIA: cattle and poutry sectors. Food and Agriculture Organization of the United Nations, 1–12. Retrieved from: http://www.fao.org/3/CA2149EN/ca2149en.pdf
FAO (2022). FAO in Nigeria. Food and Agriculture Organization of the United Nations. Retrieved from: https://www.fao.org/nigeria/fao-in-nigeria/nigeria-at-a-glance/en/
Fiebig, D.G., Keane, M.P., Louviere, J., Wasi, N. (2010). The generalized multinomial logit model: Accounting for scale and coeffi-cient heterogeneity. Market. Sci., 29(3), 393–421. https://doi.org/10.1287/mksc.1090.0508
Gerber, P., Opio, C., Steinfeld, H. (2007). Poultry production and the environment-A review. FAO, January, 1–27. Retrieved from: http://www.fao.org/ag/againfo/home/events/bangkok2007/docs/part2/2_2.pdf
Ghijben, P., Lancsar, E., Zavarsek, S. (2014). Preferences for Oral Anticoagulants in Atrial Fibrillation: a Best–Best Discrete Choice Experiment. PharmacoEconomics, 32(11), 1115–1127. https://doi.org/10.1007/s40273-014-0188-0
Guardian, T. (2023). Third of world economy to hit recession in 2023, IMF head warns. International Monetary Fund (IMF). The Guardian. Retrieved from: https://www.theguardian.com/business/2023/jan/02/third-of-world-economy-to-hit-recession-in-2023-imf-head-warns
Guenette, J.D., Kenworthy, P.G., Wheeler, C.M. (2022). Implications of the war in Ukraine for the global economy. https://doi.org/10.1596/37372
Heise, H., Crisan, A., Theuvsen, L. (2015). The poultry market in Nigeria: Market structures and potential for investment in the market. Int. Food Agribus. Manag. Rev., 18(SpecialIssueA), 197–222.
JUMIA Nigeria. (2022). Shop All Products - TVs, Laptops, Fashion Items | Jumia Nigeria. Retrieved from: https://www.jumia.com.ng/catalog/?q=solar+generators
Karekezi, S., Kithyoma, W. (2002). Renewable energy strategies for rural Africa: Is a PV-led renewable energy strategy the right ap-proach for providing modern energy to the rural poor to sub-Saharan Africa? Energ. Pol., 30(11–12), 1071–1086. https://doi.org/10.1016/S0301-4215(02)00059-9
Lancsar, E., Fiebig, D.G., Hole, A.R. (2017). Discrete choice experiments: A guide to model specification, estimation and software. PharmacoEconomics, 35(7), 697–716. https://doi.org/10.1007/s40273-017-0506-4
Liang, C., Umar, M., Ma, F., Huynh, T.L.D. (2022). Climate policy uncertainty and world renewable energy index volatility forecast-ing. Technol. Forecast. Soc. Change, 182, 121810. https://doi.org/10.1016/J.TECHFORE.2022.121810
Liverpool-Tasie, L.S.O., Sanou, A., Tambo, J.A. (2019). Climate change adaptation among poultry farmers: evidence from Nigeria. Clim. Change, 157(3–4), 527–544. https://doi.org/10.1007/s10584-019-02574-8
McFadden, D., Train, K. (2000). Mixed MNL models for discrete response. J. Appl. Econ., 15(5), 447–470. https://doi.org/10.1002/1099-1255(200009/10)15:5<447::aid-jae570>3.0.co;2-1
Monyei, C., Adewumi, A., Obolo, M.O., Sajou, B. (2018). Nigeria’s energy poverty: Insights and implications for smart policies and framework towards a smart Nigeria electricity network. Renew. Sustain. Energy Rev., 81, 1, 1582–1601 https://doi.org/10.1016/J.RSER.2017.05.237
Nigeria at a glance | FAO in Nigeria | Food and Agriculture Organization of the United Nations. (n.d.). Retrieved Jan 4rd 2022 from: https://www.fao.org/nigeria/fao-in-nigeria/nigeria-at-a-glance/en/
Nyoni, N.M.B., Grab, S., Archer, E.R.M. (2019). Heat stress and chickens: climate risk effects on rural poultry farming in low-income countries. In: Clim. Dev., 11, 1, 83–90. https://doi.org/10.1080/17565529.2018.1442792
O’Connor, E.A., Parker, M.O., Davey, E.L., Grist, H., Owen, R.C., Szladovits, B., Demmers, T. G.M., Wathes, C.M., Abeyesinghe, S.M. (2011). Effect of low light and high noise on behavioural activity, physiological indicators of stress and production in laying hens. Brit. Poult. Sci., 52(6), 666–674. https://doi.org/10.1080/00071668.2011.639342
Obike, K.C., Amusa, T.A., Olowolafe, H.B. (2018). Risk management and determinants of farm output among small scale poultry farmers in Ekiti State, Nigeria. Agro-Science, 16(2), 9. https://doi.org/10.4314/as.v16i2.2
Ohunakin, O.S., Adaramola, M.S., Oyewola, O.M., Fagbenle, R.O. (2014). Solar energy applications and development in Nigeria: Drivers and barriers. Renew. Sustain. Energy Rev., 32, 294–301. https://doi.org/10.1016/j.rser.2014.01.014
Olanrewaju, A., Animashaun, O., Nabinta, R. (2020). Analysis of the Factors Militating Against Broiler Production in Abeokuta North Local Goverment Area of Ogun State, Nigeria. FUDMA J. Agric. Agricult. Technol. Retrieved from: https://www.researchgate.net/publication/341354254_ANALYSIS_OF_THE_FACTORS_MILITATING_AGAINST_BROILER_PRODUCTION_IN_ABEOKUTA_NORTH_LOCAL_GOVERNMENT_AREA_OF_OGUN_STATE_NIGERIA
Oyedepo, S.O. (2012). Energy and sustainable development in Nigeria: the way forward. Energy Sustain. Soc., 1–17. https://energsustainsoc.biomedcentral.com/articles/10.1186/2192-0567-2-15
Pishgar-Komleh, S.H., Akram, A., Keyhani, A., van Zelm, R. (2017). Life cycle energy use, costs, and greenhouse gas emission of broiler farms in different production systems in Iran—a case study of Alborz province. Env. Sci. Poll. Res., 24, 16041–16049. https://doi.org/10.1007/s11356-017-9255-3
Renerworld (2022). Renerworld Products | Solar Energy system, Renerlite, Solar Panels, Inverter, Lithium-Ion Battery. Retrieved from: https://www.renerworld.com/products
Rommel, J., Sagebiel, J., Müller, J.R. (2016). Quality uncertainty and the market for renewable energy: Evidence from German con-sumers. Renew. Energy, 94, 106–113. https://doi.org/10.1016/J.RENENE.2016.03.049
Sagebiel, J. (2017). Preference heterogeneity in energy discrete choice experiments: A review on methods for model selection. Renew. Sustain. Energy Rev., 69, 804–811. https://doi.org/10.1016/j.rser.2016.11.138
Sagebiel, J., Rommel, K. (2014). Preferences for electricity supply attributes in emerging megacities – Policy implications from a dis-crete choice experiment of private households in Hyderabad, India. Energy Sustain. Dev., 21, 89–99. https://doi.org/10.1016/j.esd.2014.06.002
Salisu, S., Salisu, S., Mustafa, M., Olatomiwa, L., Mohammed, O. (2019). Assessment of technical and economic feasibility for a hy-brid PV-wind-diesel-battery energy system in a remote community of north central Nigeria. https://doi.org/10.1016/j.aej.2019.09.013
Štreimikienė, D. (2021). Developmen. United Nations. https://data.worldbank.org/indicator/SP.POP.GROW?
locations=NG
Trotter, P.A. (2016). Rural electrification, electrification inequality and democratic institutions in sub-Saharan Africa. Energy Sustain. Dev., 34, 111–129. https://doi.org/10.1016/j.esd.2016.07.008
Trotter, P.A., McManus, M.C., Maconachie, R. (2017). Electricity planning and implementation in sub-Saharan Africa: A systematic review. „Renewable and Sustainable Energy Reviews”, 74(March), 1189–1209. https://doi.org/10.1016/j.rser.2017.03.001
Uzoma, C.C., Ibeto, C.N., Nnaji, C., Okala, N.O. (2010). The role of renewable energy resources in poverty alleviation in Nigeria. Contin. J. Soc. Sci., 3, 31–37. Retrieved from: https://www.researchgate.net/publication/232282799_The_Role_of_Renewable_Energy_Resources_in_Poverty_Alleviation_and_Sustainable_Development_in_Nigeria
Yao, L., Sui, B. (2020). Heterogeneous preferences for shale water management: Evidence from a choice experiment in Fuling shale gas field, southwest China. Energy Policy, 147, 111831. https://doi.org/10.1016/j.enpol.2020.111831
Badmus, S., & Alawode, O. (2023). POULTRY FARMERS’ PREFERENCES FOR SOLAR PHOTOVOLTAICS AS A MAJOR SOURCE OF ENERGY IN OYO STATE, NIGERIA. Journal of Agribusiness and Rural Development, 70(4), 379–390. https://doi.org/10.17306/J.JARD.2023.01721
Sheriff Kunmi Badmus
sbhadmus@gmail.com
University of Ibadan, Ibadan, Nigeria Nigeria
https://orcid.org/0000-0002-0432-4024
University of Ibadan, Ibadan, Nigeria Nigeria
https://orcid.org/0000-0002-0432-4024
Olanike Olubunmi Alawode
University of Ibadan, Ibadan, Nigeria Nigeria
University of Ibadan, Ibadan, Nigeria Nigeria
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