Ogundari, Kolawole (2011): Estimating Demand for Nutrients in Nigeria: A Vector Error Correction Model.
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This article is designed to investigate the existence of relationship between daily per capita demand for nutrients (calorie, protein, and animal fat intake) and economic growth indicator measured by per capita real Gross Domestic Products (GDP). Using annual time series data covering 1961-2007 from Nigeria, the study employed vector error correction model (VECM). The daily per capita demands for nutrients are analyzed as endogenous variables while real per capita GDP was taken as exogenous variable. These series are defined in logarithm. Preliminary investigation revealed that the series were found to be I (1) process at initial level while the series become I (0) after first differences. The trace statistics test shows that the pear of the series on the daily per capita demand for nutrients and per capita real GDP are co-integrated. Hence, the results of VECM shows that in the long-run, per capita real GDP positively and significantly impact per capita demand for nutrients in Nigeria over the years. Specifically, we observed that 1% increase in real GDP significantly increases the demand for calorie, protein and animal fat by 0.073%, 0.068%, and 0.059%, respectively. Also, the result of the short-run dynamics indicated that the speed of adjustment of the demand for calorie, protein and animal fat intake towards long-run equilibrium relationship associated with the shocks in the real GDP from the previous period is about 29%, 41% and 26%, respectively in the current period. Furthermore, we noted that the result of the impulse response function lend support to the observation that real per capita GDP increases the demand for calorie, protein, and fat intake in Nigeria. Our findings provide no support for the hypothesis that growth in real GDP is constrained by the nutrient intake in the same period.
|Item Type:||MPRA Paper|
|Original Title:||Estimating Demand for Nutrients in Nigeria: A Vector Error Correction Model|
|Keywords:||Real per capita GDP, calorie, protein, fat, long-run relationship, short-run dynamics, Nigeria|
|Subjects:||O - Economic Development, Technological Change, and Growth > O1 - Economic Development > O11 - Macroeconomic Analyses of Economic Development
C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables > C32 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
P - Economic Systems > P4 - Other Economic Systems > P44 - National Income, Product, and Expenditure; Money; Inflation
|Depositing User:||Kolawole Ogundari|
|Date Deposited:||17. Feb 2011 19:13|
|Last Modified:||13. Feb 2013 11:28|
Aromolaran A.A.(2004). Household income, women’s income share and food calorie intake in south western Nigeria, Food Policy Vol.29:507-530.
Ayinde. I.A., D.Akerele and A.O. Dipeolu (2010). Socio-economic determinants of calorie intake among members of farm households in Ogun state Nigeria. Journal of Food, Agriculture & Environment Vol.8 (2):209-212.
Angulo. A. M., J. M. Gil and A. Gracia (2001). Calorie intake and income elasticities in EU countries: A convergence analysis using co integration. Paper in regional Science 80:165-187.
Babatunde, R. and M. Qaim (2010). Impact of off-farm income on food security and nutrition in Nigeria, Food policy 35: 303-311.
Babatunde, R. O., A. O. Adejobi and S.B. Fakayode ( 2010). Income and calorie intake among farming households in rural Nigeria: Results of parametric and Non-parametric analysis. Journal of Agricultural Sciences, Vol. 2 (2): 135-146.
Benson, T (2004). Africa’s food and nutrition security situation: where are we and how did we get there? 2020 Division paper No.37.International Food Policy Research Institute (IFPRI), Washington DC.
Berg, A (1981): Malnourished people: A policy view. Washington DC, World Bank Poverty and Basic Needs series.
Bious, H. E. (1994). The effects of Income on demand for Food in Poor Countries: Are our Databases giving reliable estimates? Journal of Development Economics, 44: 199-226.
Bocoum. I. and S. Dury (2009). Non-parametric and parametric analysis of Engel function for calorie, dietary diversity and food shares in the calories, in rural and urban Mali. Paper presented at the Journees Jeunes Chercheurs, INRA SAE 2, Montpeller, October 1-2.
Deaton, A and J Drèze (2009): “Food and Nutrition in India: Facts and Interpretations”,Economic & Political Weekly, 14 February.
Dawson, P.J. (2002). Nutrition in Pakistan: Estimating the Economic Demand for Calories.
Pakistan Journal of Nutrition 1(1):64-66. Dawson, P.J and R. Tiffin (1998). Estimating the demand for calories in India. American Journal of Agricultural Economics, 80: 474-481.
Dawson, P. J. (1997). The demand for calories in developing countries. Oxford Development Studies, 25(3): 361-369.
Deolaiker, A. B. ( 1998). Nutrition and Labour productivity in Agriculture: Estimates for Rural India. Review of Economic Statistic, 70: 406-413.
Dickey, D. A and W.A. Fuller (1981). Likelihood ratio statistics for autoregressive time series with a unit root, Econometrica , 49:1057-72.
FAO (2010) Food Balance sheet and Food supply. http://faostat.fao.org/site/609/default.aspx#ancor.Accessed on the 16th November 2010.
Harris, R. (1995). Using Co-integration Analysis in Econometric Modeling. Prentice-Hall,Harvester Wheatsheaf, London.
Johansen, S (1988). Statistical Analysis of Co integration Vectors, Journal of Economic Dynamics and Control, 12; 231-254.
Kwiatkowski, D., P.C. B.Philip, P. Schmidt and Y. Shin (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54: 159-178.
Labys, W.C. (2006). Modeling Forest casting primary commodity prices. Asgate, Hampshire, UK; ISBN 0-7546-4629-7. Lütkepol, H (1993): Introduction to multiple Time series Analysis, Springer-Verg, New York.
Mushtaq, K., A. Gafor and A. Abedullah (2007). An examination of calorie demand relationship in Pakistan. Pakistan Journal of Nutrition 6(2): 159-162.
Neeliah, H and B. Shankar (2008). Is nutritional improvement a cross or consequence of economic growth? Evidence from Mauritius. Economic Bulletin, Vol.17 (8): 1-11.
Ogundari, K. and S. O. Ojo (2005). Determinants of technical efficiency in mixed crop food production in Nigeria: A Stochastic Parametric Approach. East Africa Journal of Rural Development Vol. 21(1): 15-22.
Omotosho, J. S (2004). Key note address proceeding of the FISON annual conference of Fisheries society of Nigeria.
Orewa, S. I and C. O. Iyangbe (2009). Determinants of Daily Food Calorie Intake among Rural and Low-Income Urban Households in Nigeria. Middle-East Journal of Scientific Research 4 (4): 297-30.
Reuthinger, S and M. Selowsky (1976). Malnutrition and Poverty: Magnitude and Policy options. Baltimore, World Bank/John Hopkins University.
Said, S.E and D.A. Dickey (1984). Testing for unit roots in Autoregressive-moving average models of unknown order. Biometrika, 71: 599-607.
Stightz, J. E (1976). The efficiency wage hypothesis; surplus labor and distribution of income in LDC. Oxford Economic papers 28(2): 185-207.
Tiffin, R and P.J. Dawson (2002). The demand for Calories: some further Estimates from Zimbabwe. Journal of Agricultural Economics, Vol. 53 (2): 221-232.
Tiwari, S. and H. Zaman (2010). The impact of Economics Shocks on Global Undernourishment, Policy Research Working Paper 5215, Poverty Reduction and Equity Unit of the World Bank.
World Bank (2010). Country specific World Bank Data Base. http://data.worldbank.org/country/Nigeria. Access on the 16th November, 2010.
World Bank (1986). Poverty and hunger –issues and options for food security in Developing countries , Washington DC.