Ogundari, Kolawole and Ito, Shoichi and Okoruwa, Victor (2014): Estimating nutrition-income elasticities in sub-Saharan African:Implication on health.
Preview |
PDF
MPRA_paper_63523.pdf Download (411kB) | Preview |
Abstract
The study estimates calories, proteins and fats-income elasticities in sub Saharan Africa (SSA). Annual time series data for 43 countries covering 1975-2009 that yields a balanced panel was employed for the analysis. The nutrient-income elasticities are estimated based on the aggregate Engel Curve framework using Feasible Generalized Least Square (FGLS) technique that is robust to autocorrelation and non-parametric plot. The empirical results show that a 10% increase in income will lead to about a 0.90%, 0.87%, and 0.73% rise in fats, proteins and calories supply, respectively in the region. This shows that the estimated nutrient-income elasticities are of small size. Other results show that the relationship between calorie and protein-income was found to be non-linear at higher income and diminished, as revealed by the estimated aggregate Engel Curve and non-parametric plot.
Item Type: | MPRA Paper |
---|---|
Original Title: | Estimating nutrition-income elasticities in sub-Saharan African:Implication on health |
Language: | English |
Keywords: | Nutrition, health, income elasticity, cross-country, and SSA |
Subjects: | E - Macroeconomics and Monetary Economics > E0 - General E - Macroeconomics and Monetary Economics > E0 - General > E00 - General I - Health, Education, and Welfare > I1 - Health I - Health, Education, and Welfare > I1 - Health > I10 - General |
Item ID: | 63523 |
Depositing User: | Kolawole Ogundari |
Date Deposited: | 11 Apr 2015 10:06 |
Last Modified: | 04 Oct 2019 16:49 |
References: | Abdulai, A and D. Aubert (2004). Nonparametric and parametric analysis of calorie consumption in Tanzania. Food Policy, Vol. 29(2): 113-129. Angulo, A. M., J. M. Gil and A. Gracia (2001). Calorie intake and income elasticities in EU countries: a convergence analysis using cointegration. Paper in Regional Science, Vol. 80: 165-187. Arcand, J (2001). Undernourishment and economic growth: The efficiency cost of hunger-FAO economic and Social Development paper no. 147, Rome Italy. Babatunde, R. O., O. A. Omotosho and O. S. Osholotan (2007). Factors influencing food security status and rural farming households in north Central Nigeria. Agricultural Journal, Vol.2(3): 351-357. Banks, J., R. Blundell and A. Lewbel (1997). Quadratic Engel curves and consumer demand? Review of Economics and Statistics, Vol. 79(4): 527-539. Baltagi, B (2001). Econometric Analysis panel data (2nd Ed.). Chichester, UK: John Wiley & Sons. Breitung, J (2000). The local power of some unit root tests for panel data, in (ed.), Advances in Econometrics, 15: Non-stationary panels, Panel cointegration, and Dynamic Panels, 161-178, Elsevier Science. Dawson, P. J. (1997). The demand for calories in developing countries. Oxford Development Studies, 25(3): 361-369 FAOSTAT (2013). Food Balance Sheet and Food supply on FAOSTAT webpage. http://faostat.fao.org. Hadri, K (2000). Testing for stationary in heterogeneous panel data. Econometrics Journal, Vol. 3: 148-161. Harris, R.D.F. and E. Tzavalis, (1999). Inference for unit roots in dynamic panels where the time dimension is fixed, Journal of Econometrics 91, 201-226. Honfuga.B.G. and G.J.M. van den Boom (2003). Food consumption patterns in Central West Africa, 1961 to 2000, and Challenges to combating malnutrition. Food and Nutrition. Bulletin, Vol. 24(2): 167-182. Im, K. S., M. H. Pesaran and Y. Shin (2003). Testing for unit root in heterogeneous panels. Journal of Econometrics, Vol. 115: 53-74. Levin, A., C. F. Lin and C. S. Chu (2002). Unit root tests in panel data: an asymptotic and finite sample properties. Journal of Econometrics, Vol. 108: 1-24. Mushtaq, K., A. Gafor and A. Abedullah (2007). An examination of calorie demand relationship in Pakistan. Pakistan Journal of Nutrition 6(2): 159-162. Ogundari, K. (2014). The relationship between the share of nutrient consumed across selected food groups and income in Nigeria: A short run demand system. Journal of Economic Studies, Vol. 41 (1): 101-122. Ogundari, K and T. Nanseki (2014). Nutrient-Income nexus in Nigeria: A co-integration Analysis. The Japanese Journal of Rural Economics, special issue Vol. 16:17-24. Ogundari, K. and A. Abdulai (2013). Examining the Heterogeneity in Calorie-Income Elasticities: A meta-analysis. Food Policy, Vol.40: 119-128. Ohri-vachaspati, P., B. Lorge Rogers, E. Kennedy and J.P. Goldberg (1997). The effects of data collection methods on the calorie-expenditure elasticity estimate: a study from the Dominical Republic, Food Policy, Vol. 23 (3-4); 295-304. Pesaran, M. H (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Econometrics, Vol. 22: 265-312. PWT (2013). Peen World Table version 6.1 data. http://pwt.econ.upenn.edu Phiri, A and W. Dube (2014). Nutrition and economic growth in South Africa: A momentum threshold autoregressive (M-TAR) approach. Munich Personal RePEc Archive (MPRA) Paper No. 52950. http://mpra.au.uni-muenchen.de/52950/ Salois, M.J., Tiffin, R., Balcombe, K.G., 2012. Impact of income on nutrient intakes: implications for undernourishment and obesity. Journal of Development Studies, Vol. 48 (12), 1716–1730. Skoufias, E., Di Maro, V., Gonzalez-Cossiom, T., Ramirez, S.R., 2009. Nutrient consumption and household income in rural Mexico. Agricultural Economics. Vol. 40 (6), 657–675. Tiffin, R and P. J. Dawson (2002). The Demand for Calories: Some Further Estimates from Zimbabwe. Journal of Agricultural Economics, Vol. 53: 221-232. Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/63523 |