Asymmetric Impacts of Rising Food Prices on Households’ Welfare in South West Ethiopia

Yekin Ahmed Ali

Department of Economics, Kotebe University of Education, Addis Ababa, Ethiopia

DOI: https://doi.org/10.36956/njas.v4i2.494

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Abstract

Food price inflation is pervasive effects to household welfare and macroeconomy. The study estimated Quadratic Almost Ideal Demand system of six food groups to simulate money costs of food prices inflation on households’ welfare and predict relative potency of income and price policies to counteract the effects in a particular context of South West Ethiopia. It drew on Household Income and Consumption Expenditure Survey data of 519 households collected by the Central Statistical Authority of Ethiopia. While response to income change of households is commodity specific, the rural dwellers respond more than urban counterparts to price changes. The welfare losses due to higher food prices fall heavily more on urban households than rural counterparts. On average, it requires resource allocation as large as percentage increases in prices which could be achieved through a mix of price and income policies to keep households’ welfare at pre-price change level.

Keywords: Censoring, Elaticities, Welfare, QUAIDS, CV, Simulation


References

[1] Adekunle, C.P., Akinbode, S.O., Shittu, A.M., et al.,2020. Food price changes and farm households’ welfare in Nigeria: direct and indirect approach. Journal of Applied Economics. 23(1), 409-425. DOI: https://doi.org/10.1080/15140326.2020.1743103

[2] Mbegalo, T., Yu, X.H., 2016. The impact of food prices on household welfare and poverty in rural Tanzania. Discussion Papers, No. 216, Georg-August-Universität Göttingen, Courant Research Centre - Poverty, Equity and Growth (CRC-PEG), Göttingen.

[3] Weber, R., 2015. Welfare Impacts of Rising Food Prices : Evidence from India. International Conference of Agricultural Economists: Agriculture In An Interconnected World. pp. 1-26. Diakses pada 1 September 2020.

[4] Quentin, K., Mabah Tene, G.L., Ambagna, J.J., et al., 2018. The Impact of Food Price Volatility on Consumer Welfare in Cameroon. SSRN Electronic Journal. DOI: https://doi.org/10.2139/ssrn.3176764

[5] Attanasio, O., Maro, V.D., Lechene, V., et al., 2013. Welfare consequences of food prices increases: Evidence from rural Mexico. Journal of Development Economics. 104, 136-151. DOI: https://doi.org/10.1016/j.jdeveco.2013.03.009

[6] Tefera, N., Demeke, M., Rashid, S., 2012. Welfare Impacts of Rising Food Prices in Rural Ethiopia : a Quadratic Almost Ideal Demand System Approach. Proceedings of the International Association of Agricultural Economists Conference. pp. 1-48. Available at: http://ageconsearch.umn.edu/bitstream/126261/2/

[7] Colen, L., Melo, P.C., Abdul-Salam, Y., et al., 2018. Income elasticities for food, calories and nutrients across Africa: A meta-analysis. Food Policy. 77, 116- 132. DOI: https://doi.org/10.1016/j.foodpol.2018.04.002

[8] Akbari, A., Ziaei, M.B., Ghahremanzadeh, M., 2013. Welfare Impacts of Soaring Food Prices on Iranian Urban Households: Evidence from survey data. International Journal of Business and Development Studies. 5(1), 23-38.

[9] Tafere, K., Paulos, Z., Taffesse, A.S., et al., 2010. Food Demand Elasticities In Ethiopia: Estimates Using Household Income Consumption Expenditure (Hice) Survey Data. The Ethiopia Strategy Support Program Ii Working Papers About Essp Ii About These Working Papers.

[10] Prifti, E., Daidone, S., Miguelez, B., 2017. Impact of increases in food prices on consumer welfare in Lesotho. African Journal of Agricultural and Resource Economics. 12(1), 52-61.

[11] DOI: https://doi.org/10.22004/ag.econ.258599

[12] Ahmed Ali, Y., 2020. Food Consumption Patterns and Demand Elasticities for South West Rural Ethiopia. International Journal of Agricultural Economics. 5(6), 234-242. DOI: https://doi.org/10.11648/j.ijae.20200506.12

[13] Caracciolo, F., Depalo, D., Macias, J.B., 2014. Food price changes and poverty in zambia: An empirical assessment using household microdata. Journal of International Development. 26(4), 492-507. DOI: https://doi.org/10.1002/jid.2976

[14] Banks, J.R., Blundell, Lewbel, A., 1997. Quadratic engel curve and consumer demand. Review of Economics and Statistics. 79(4), 527-539.

[15] Deaton, A., Muellbauer, J., 1980. An almost ideal demand system. The American Economic Review. 70(3), 312-326.

[16] Boysen, O., 2012. A Food Demand System Estimation for Uganda. IIIS Discussion Paper, Trinity College Dublin. (396), 1-34. Available at: https://www. tcd.ie/triss/assets/PDFs/iiis/iiisdp396.pdf.

[17] Barslund, M., 2011. Censored Demand System Estimation with Endogenous Expenditures in Clustered

[18] Samples: An Application to Food Demand in Mozambique. LICOS Discussion Paper 280/2011 Censored. pp. 0-36.

[19] Shonkwiler, J.S., Yen, S.T., 1999. Two-step estimation of a censored system of equation. American Journal of Agricultural Economics. 81(4), 972-982.

[20] Bopape, L., Myers, R., 2007. Analysis of household demand for food in South Africa: Model selection, expenditure endogeneity, and the influence of socio-demographic effects. African Econometrics Society Annual Conference. 22.

[21] Dhar, T.P., Foltz, J.D., 2004. Is Soy Milk? The Economics Of The Soy Milk Market. Available at: http:// ideas.repec.org/p/ags/aaea04/20337.html.

[22] Blundell, R., Robin, J.M., 1999. Estimation in Large and Dissaggregated Demand Systems: An Estimator for Conditionally Linear Systems. Journal of Applied Econometrics. 14(3), 209-223.

[23] Poi, B.P., 2012. Easy demand-system estimation with quaids. Stata Journal. 12(3), 433-446. DOI: https://doi.org/10.1177/1536867x1201200306