Price interactions and causal relationships among corn, exchange rate and animal protein sources in Nigeria
Abstract
Price transmissions between corn, exchange rate, poultry meat, and fish were investigated using the data from OECD-FAO for the years 1990-2019, to establish the existence of long-term relationships between them and identify their directions of causality, in order to elicit investmentaiding facts. The augmented Dickey-Fuller (ADF) test, the Johansen cointegration approach and the Granger causality test were employed. Following the ADF test, all series are I(1), while the cointegration test indicates short-run dynamics between them. The Vector Autoregressive (VAR) system reveals that poultry meat price influences all variables, prices of poultry meat and exchange rate relate positively to their own lags, and exchange rate relates positively to lags of poultry meat prices. A positive relationship was noticed between fish price and lags of poultry meat price, while corn price relates positively with lags of poultry meat price. Granger causality tests indicate unidirectional drives from poultry price to fish price, the exchange rate to fish price and poultry meat price to corn price. Responses from prices of fish, corn and poultry to innovations from exchange rate are negative, while positive responses exist in other scenarios. Exchange rate stabilization will mitigate external risks, especially to the fisheries sector, while corn farmers can increase profits in the short-run by exploring knowledge of poultry meat price movements.
Keywords
prices; corn; exchange rate; animal protein; cointegration; causality
References
Africa Sustainable Livestock 2050 (2018). Livestock and livelihoods spotlight Nigeria (cattle and poultry sectors). Rome: FAO.
Akinbode, S.O., Adekunle, C.P. (2017). Price transmission and market integration of yellow maize in south western Nigeria. Cointegration and vector error correction model approach. Eur. J. Econ. Manag. Sci., 17(2), 14–23; http://dx.doi.org/10.20534/EJEMS17-2-14-23
Alexander, C. (2001). Market Models: A Guide to Financial Data Analysis. New York: Wiley.
Amarante, J.G.M.C., Bach, T.M.,Vieira da Silva, W., Matiollo, D., Souza, A., Pereira da Veiga, C. (2018). Econometric analysis of cointegration and causality between markets prices toward futures contracts: Evidence from the live cattle market in Brazil. Cogent Bus. Manag., 5, 1457861; https://doi.org/10.1080/23311975.2018.1457861
Asaolu, T.O., Ilo, B.M. (2012). The Nigerian stock exchange and oil price: a cointegration analysis. Kuwait Chapt. Arab. J. Bus. Manag. Rev., 1(6), 109–118.
Birch, J. (2019). Wellness: from fish to bacon, a ranking of animal protein in order of healthfulness. Wash. Post., July, 3.
Dickey, D.A., Fuller, W.A. (1979). Distribution of the estimators for autoregressive time series with a unit root. J. Am. Stat. Assoc., 74(366), 427–431. https://doi.org/10.1080/01621459.1979.10482531
Dickey, D.A., Fuller, W.A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057–1072; https://doi.org/10.2307/1912517
Engel, R.F., Granger, C.W.J. (1987). Cointegration and error correction: Representation, estimation, & testing. Econo metrica, 55(2), 251–276.
Evbuomwan, G.O., Momah, A.P., Sere-Ejembi, A.A., Sodipo, J.A., Bada, A. (2005). Self-sufficiency in the fishery sub sector: challenges and prospects in Lagos state. Lagos: Central Bank of Nigeria.
FAO (n.d). Nigeria at a glance. Retrieved August 25th 2020 from: http://www.fao.org/nigeria/fao-in-nigeria/nigeria-at a-glance/en/
Fasanya, I., Olawepo, F. (2018). Determinants of food price volatility in Nigeria. Agric. Tropic. Subtropic., 51(4), 165–174.
Gil-Alana, L.A., Yaya, O.S. (2014). The relationship between oil prices and Nigerian stock market. An analysis based on fraction integration and cointegration. J. Energy Econ., 64, 328–333; https://doi.org/10.1016/j.eneco.2014.10.001
Gujarati, D.N. (2004). Basic Econometrics (4th ed). India: McGraw-Hill.
Johansen, S. (1988). Statistical analysis of cointegration vectors. J. Econ. Dyn. Cont., 12(2–3), 231–254; https://doi.org/10.1016/0165-1889(88)90041-3
Li, M.H., Robinson, E.H. (2013). Feed Ingredients and Feeds for Channel Catfish. Southern Regional Aquaculture center. Publication No 1806. 6PP
Manasseh, C.O., Ogbuabor, J.E., Obinna, O.K. (2016). Volatility and commodity price dynamics in Nigeria. Int. J. Econ. Fin. Iss., 6(4), 1599–1607.
Menghe, H.L., Robinson, E.H. (2013). Feed Ingredients and Feeds for Channel Catfish. SRAC Publication No. 1806. Retrieved 27th July 2020 from: http://fisheries.tamu.edu/files/2013/09/SRAC-Publication-No.-1806-Feed-Ingredients-and-Feeds-for-Channel-Catfish.pdf
Mueller, B., Mueller, C. (2016). The political economy of the Brazilian model of agricultural development: Institutions versus sectoral policy. Quart. Rev. Econ. Fin., 62, 12–20; https://doi.org/10.1016/j.qref.2016.07.012
Musunuru, N. (2015). Causal relationships between grain, meat prices and exchange rates. Int. J. Food Agric. Econ., 5(42017), 1–10.
Nazlioglu, S., Soytas, U. (2012). Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis. J. Energy Econ., 34(12), 1089–1104; https://doi.org/10.1016/j.eneco.2011.09.008
Nkang, N.M., Abang, S.O., Akpan, E.O., Offem, K.J. (2006). Cointegration and error correction modelling of agricultural export in Nigeria: The case of cocoa. J. Agric. Soc. Sci., 2(4), 249–255.
Nkechukwu, G., Onyeaga, J. (2015). Macroeconomic variables and stock prices in Nigeria: cointegration and vector error correction model tests. Int. J. Soc. Sci. Res., 6(4), 717–724.
Ojeka, G.O., Effiong, C.E., Eko, E.O. (2016). Constraints to agricultural development in Nigeria. Int. J. Dev. Econ. Sust., 4(2), 1–15.
Olaniyan, B.A. (2015). Maize: panacea for hunger in Nigeria. Afr. J. Plant Sci., 9(3), 155–174. Retrieved 24th Febru ary 2020 from: https://academicjournals.org/article/article1427453934_OLANIYAN.pdf
Oluwafemi, Z.O., Adedokun, M.A., Ogunleye, A.A., Olado kun, Y.O.M. (2015). An Empirical Analysis of the Contri bution of Agricultural Sector to Nigerian Gross Domestic Product: Implications for Economic Development. Dev. Countr. Stud., 5(21), 36–42.
Onuche, U., Oladipo, M.A., Enize, T., Daikwo, D. (2020). Perception and uptake of Aquaculture technologies in Kogi state, central Nigeria: imperative for Improved Management practices for sustainable aquaculture development. Afr. J. Agric. Res., 16(6), 819–828; https://doi.org/10.5897/AJAR2019.14558
Plecher, H. (July 28, 2020). Nigeria: Distribution of gross domestic product (GDP) across economic sectors from 2009 to 2019. Retrieved Aug 20th from: https://www.statista.com/statistics/382311/nigeria-gdp-distribution-acrosseconomic-sectors/
Poultry World (2020). Nigeria: Shortage of maize is crippling the poultry industry. (Aug 19th). Retrieved Dec 12th 2020 from: https://www.poultryworld.net/Meat/Articles/2020/8/Nigeria-Shortage-of-maize-is-crippling-thepoultry-industry-628784E/
Qi, G., Diao, Q., Tu, Y., Wu, S., Zhang, S. (2004). Nutritional evaluation and utilization of QUALITY protein maize in animal feed in FAO: Protein sources for the animal feed industry. Proceedings of expert consultation and work shop, Bangkok (185–198).
Rudinskaya, T. (2019). Asymmetric price transmission analysis in the Czech pork market. J. Cent. Eur. Agric., 20(3), 986–994; https://doi.org/10.5513/JCEA01/20.3.2278
Ssetongo, E.W., Ukpe, G.T., Ajayi, T.O. (1986). Marine fishery resources of Nigeria: a review of exploited fish stocks. CECAF/ECAF series 86/40 (En); http://www.fao.org/3/r9004e/R9004E01.htm
Swain, B.K. (2016). Low cost feed formulation for rural poul try production: In: A.K. Panda, A. Kumar, B. Sahoo, S. Tanuja (Eds.), Empowering farmwomen through livestock and poultry intervention (pp. 186–194). ICAR Central In stitute for Women in Agriculture.
Taru, B. (2014). Price fluctuation and market integration of selected cereal in north-eastern Nigeria, 2001–2010. PhD thesis in the department of Agricultural Economics, Uni versity of Nigeria, Nsukka.
Vos, R. (2015). Agricultural transformations, growth and poverty. UNU-WIDER 30th Anniversary Conference Helsinki, 18 September 2015. Retrieved February 13th 2020 from: https://www.wider.unu.edu/sites/default/files/Events/PDF/Slides/Vos.pdf
Yusuf, O., Olukosi, J.O. (2015). Cointegration and market integration: an application to hides and pomo markets in in Nigeria. Am. J. Exp. Agric., 7(1), 62–69.
Zhang, Q., Reed, M. (2008). Examining the impact of the world crude oil price on China’s agricultural commodity prices: The case of Corn, Soybean, & Pork. Paper Presented at the Southern Agricultural Economics Association Annual Meetings, Dallas, TX. Retrieved May 24th 2020 from: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.549.6653
University of Africa, Toru Orua, Bayelsa Nigeria
https://orcid.org/0000-0001-7551-8144
Senior Lecturer in Agricultural Economics and Extension
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