Food Poverty Dynamics and the Determinants across Households in Rural South South Nigeria
AbstractThis article takes a dynamic approach to the study of poverty by investigating how households exist and stay in poverty over time in rural South South, Nigeria while focusing on the food dimension of poverty. South South region is at the center of multiple risk factors: natural, ecological, social and economic that result in highly volatile income and consumption pattern for households. Balancing potential welfare loss of rural households depends in part on the effectiveness of existing programmes. This article uses the panel data set for farm households collected by the National Bureau for Statistics between 2010 and 2012 to evaluate the effectiveness of these programmes. The article used the Multinomial Logit Model (MLM) to determine the conditional probability of poverty transition. The descriptive analysis and the econometric model both lead to results that illustrate the significance of food poverty determinants in a dynamic perspective.
Barrett, C., Garg, T., & McBride, L. (2016). Well-being dynamics and poverty traps. Centre for Climate Change Economics and Policy, Grantham Research Institute on Climate Change andthe Environment.
Carter M, and May J, (2001). One Kind of Freedom: Poverty Dynamics in Post-apartheid South Africa. World Development, 29(12), 1987â€“2006.
Duclos, J., Araar, A. and Giles, J. (2010), â€œChronic and Transient Poverty: Measurement and Estimation, with Evidence from China. Journal of Development Economics 91: 266-
Foster, J.E., J. Greer and Thorbecke, E. (1984) â€œA class of decomposable poverty indicesâ€, Econometrica 52: 761-6.
Foster, J. E. (2009) â€œA Class of Chronic Poverty Measuresâ€ in Addison, T., D. Hulme and R.
(eds.) Poverty Dynamics: Interdisciplinary Perspectives, pp. 59â€“76. Oxford
Glewwe, P. & Hall, G. (1998). Are Some Groups More Vulnerable to Macro economic
Shocks than Others? Hypothesis Tests Based on Panel Data From Peru. Journal of
Development Economics, 56: 181- 206
Jalan, J. and Ravallion, M.(1998). â€œTransient Poverty in Postreform Rural China. Journal of Comparative Economics, 26 (2): 338-357.
Jalan J., Ravallion M. (2004). Household income dynamics in rural China. In Insurance
Against Poverty. Ed. S.Dercon. Oxford University Press
Jalan J., Ravallion M. 2002. Geographic poverty trap? A micro model of consumption growth in rural China. J.Appl.Econ.17(4):329 - 46
Liverpool-Tasie, L. S. O., & Winter-Nelson, A. (2011). Asset versus consumption poverty and poverty dynamics in rural Ethiopia. Journal of Agricultural Economics, 42: 221-
McKay, A. and D. Lawson.  â€œChronic poverty: a review of current quantitative evidenceâ€, Chronic Poverty Research Centre Working Paper No 15, University of Manchester, Manchester, UK.
Muller, Christophe. 2002. Censored Quantile Regressions of Chronic and Transient Seasonal Poverty in Rwanda. Centre for Research in Economic Development and International Trade, School of Economics, University of Nottingham, University Park, Nottingham
Menapace, L., G. Colson, and R. Raffaelli. (2013). â€œRisk Aversion, Subjective Beliefs, and Farmer Risk Management Strategies.â€ American Journal of Agricultural Economics Vol.95, No.2, pp.384â€“389.
Omonona Bolarin T. (2009) Quantitative Analysis of Rural Poverty in Nigeria Nigeria Strategy Support Program (NSSP) Background Paper No. NSSP 009
Rodgers, J. R. and J. L. Rodgers (1993), Chronic Poverty in the United States, The Journal of Human Resources, 28:25â€“54.
World Bank, (2013). Reducing the vulnerability of Uzbekistansâ€™ Agricultural Systems to Climate Change. The World Bank, Washington ,DC