To help bridge information gap in supply response studies for Nigeria and inform policy decision on how the demand-supply gap for rice in Nigeria could be bridged, the current study through the use of Johansen’s Full Information Maximum Likelihood test estimated a yield response model for Nigeria using national level data for the period 1966-2008. The results suggest that, increasing yield levels for paddy rice in Nigeria and ensuring stability requires interplay of biophysical, socio-economic and structural forces. By estimates for the current study, bridging of the demand-supply gap can be realized through initiation of measures to address inefficiencies in the supply chain to ensure appropriate transmission of price increment, promotion of local rice consumption to ensure ready market for farmers in times of increasing output, addressing soil fertility challenges through efficient use of fertilizer and regular management of fertility of rice fields, and increasing farmers access to credit to help them meet cost of relevant inputs of production. The latter suggestion could to a greater extent incite appropriate response of farmers to both price and non-price incentives in the country. Diagnostic tests conducted indicate that the residual series is normally distributed, non-serially correlated and homoscedastic.
Yield Response of Rice in Nigeria: A Co-Integration Analysis, American Journal of Agriculture and Forestry.
Vol. 2, No. 2,
2014, pp. 15-24.
Abubakar, S. (2013). Why Nigeria imports N1bn rice daily. DAILY TRUST http://allafrica.com/stories/201308080475.html
Adedipe, N.O., Bakshi, J.S., Odegbaro, O.A., and Aliyu, A. (1996). Evolving the Nigerian Agricultural Research Strategy Plan: Agro-Ecological Inputs. The National Agricultural Research Project, Ibadan, 1-486pp.
Ahmed, A.M. and Siddiqui, R. (1994). Supply response in Pakistan with "Endogenous" Technology. The Pakistan Development Review 33:4 Part II (Winter 1994) pp. 871-888
Akpokodje, G., Lançon, F., and Erenstein, O. (2001). Nigeria’s rice economy: State of the Art. West Africa Rice Development Association (WARDA), Bouake, Côte d’Ivoire
Amanor-Boadu, V. (2012). Rice price trends in Ghana (2006-2011). Department of Agricultural Economics, Kansas State University. METSS-Ghana Research and Issue Paper Series No. 02-2012-June 2012
Anderson, K. and Nelgen, S. (2012). Updated national and global agricultural trade and welfare reduction indexes, 1995 to 2010. World Bank, Washington DC
Basorun, J.O. and Fasakin, J.O. (2012). Factors influencing rice production in Igbemo-Ekiti Region of Nigeria. Journal of Agriculture, Food and Environmental Science, 5(1):1-9
Bingxin, Y. and Shenggen, F. (2009). Rice production response in Cambodia. Contributed paper prepared for presentation at the International Association of Agricultural Economists Conference, Beijing, China. August 16-22, 2009
Boansi, D. (2013). Rice production in Ghana: Past, present and future. ISBN-13: 978-3659498220, LAMBERT Academic Publishing, Germany
Cohen, M.J., Dunne, J.E.J., and Bruland, G.L. (2008). Spatial variability of soil properties in Cypress domes surrounded by different land uses. Wetlands 28:411-422. DOI:10.1672/06-182.1
Cummings, J. (1975). The supply responsiveness of Indian farmers in the post-independence period: Major cereal and cash crops. Indian J. Agricultural Economics, 30(1): 25-40
Daramola, B. (2005). Government policies and competitiveness of Nigerian rice economy. Paper presented at the ‘Workshop on Rice Policy & Food Security in Sub-Saharan Africa’ Organized by WARDA, Cotonou, Republic of Benin, November 07-09, 2005
Defoer, T., Wopereis, M.C.S., Jones, M.P. Lançon, F., Erenstein, O., and Guei, R.G. (2004). Challenges and technical opportunities for rice-based production systems for food security and poverty alleviation in Sub-Saharan Africa. Proceedings of FAO Rice Conference, Rome, Italy, 12-13 February, 2004.
Engle, R.F. and Granger, C.W.J. (1987). Co-integration and error correction: Representation, estimation and testing. Econometrica, 55:251-276
FAOSTAT (2013). Agricultural production database. Food and Agricultural Organization of the United Nations, FAO, Rome, Italy. Accessed on June14, 2013 http://faostat.fao.org/site/703/default.aspx#ancor
Fashola, O.O., Imolehin, E.D., and Wakatsuki, T. (2007). Water management practices for sustainable rice production in Nigeria. Nigeria Agricultural Journal, 38: 40-48. DOI: http://dx.doi.org/10.4314%2Fnaj.v38i1.3247
Grunwald , S., Corstanje, R., Weinrich, B.E., and Reddy, K.R. (2006). Spatial patterns of labile forms of phosphorus in a subtropical wetland. Journal of Environmental Quality, 35:378-389 DOI:10.2134/jeq2005.0042
Harris, R. (1995). Using co-integration analysis in econometric modelling. Oxford University Press, London
Harris, R. and Sollis, R. (2003). Applied time series modelling and forecasting. Durham University. John Wiley & Sons
IRRI. World Rice Statistics, International Rice Research Institute. Accessed on June 14, 2013 http://ricestat.irri.org:8080/wrs/
Johansen, S. and Juselius K. (1990). Maximum likelihood estimation and inference on co-integration with application to the demand for money. Oxford bulletin of Economics and Statistics, 52:170-209
Kuwornu, J.K.M., Izideen, M.P.M., and Osei-Asare, Y.B. (2011). Supply response of rice in Ghana: A co-integration analysis. Journal of Economics and Sustainable Development, 2(6):1-14
Lütkepohl, H. and Krätzig, M. (2004). Applied time series econometrics. Cambridge University Press, New York
Molua, E.L. (2010). Response of rice yields in Cameroon: Some implications for agricultural price policy. Libyan Agriculture Research Center Journal Internation, 1(3):182-194
Molua, E.L. (2008). Turning up the heat on African Agriculture: Economic impact of climate change on agriculture in Cameroon. African J. Agricultural and Resource Economics, 2(1):45-64
Mulwanyi, A., Hutagaol, P., and Sinaga, B.M. (2011). Impact of rice purchasing policy on welfare of both producers and consumers in Indonesia. J. ISSAAS, 17(2):48-57
Mythili, G. (2008). Acreage and yield response for major crops in the pre- and post-reform periods in India: A dynamic panel data approach. Report prepared for IGIDR-ERS/USDA Project: Agricultural Markets and Policy. Indira Gandhi Institute of Development Research, Mumbai.
Newey, W.K. and West, K.D. (1987). A simple positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55(3):703-708
Norman, J.C. and Kebe, B. (2006). African smallholder farmers: Rice production and sustainable livelihoods. International Rice Commission Newsletter (FAO), 55:33-44
Ogazi, C.G. (2009). Rice output supply response to the changes in real prices in Nigeria: An autoregressive distributed lag model approach. Journal of Sustainable Development in Africa, 11(4):83-100
Omonona, B.T. (2013). Fertilizer profitability across Nigeria’s diverse agro-ecological zones and farming systems. At the Nigeria launch of ‘Guiding Investments in Sustainable Agricultural Intensification in Africa (GISAIA)’, Abuja. June 17, 2013
Phillips, P.C.B. and Ouliaris, S. (1998). Testing for co-integration using principal component methods. Economics Dynamic and Control, 12:205-230
Townsend, T.P. (2001). World cotton market conditions. Beltwide Cotton Conferences, Proceedings, Cotton Economics and Marketing Conference, National Cotton Council, Memphis, TN pp 401-405
WARDA (2003). The Nigerian rice economy in a competitive world: Constraints, opportunities, and strategic choices. Strategy for rice sector revitalization in Nigeria
Yeong-Sheng, T., Survani, D., Aswani, F.M.N., and Nurjihan, I. (2009). Acreage response of rice: A case study in Malaysia. MPRA Paper No 15300. University Library of Munich, Germany
Zeigler, R.S.(2012) Advancing cutting-science to boost rice production, increase farmers’ incomes and conserve the environment. International Rice Research Insitute. March 15, 2012 https://www.cgiarfund.org/sites/cgiarfund.org/files/Images/bbl_march15_2012_RZEIGLER.pdf
Other source: Index Mundi, http://www.indexmundi.com/nigeria/demographics_profile.html