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Food Consumption Patterns and Demand Elasticities for South West Rural Ethiopia

Received: 28 September 2020     Accepted: 16 October 2020     Published: 30 October 2020
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Abstract

Demand elasticities are powerful tools to quantify welfare effects of relative price changes concomitant to shocks in economic environment of consumers. This study examined food demand elasticities to demonstrate how rural households in South West Ethiopia react to income and price changes by drawing on 267 observations of Household Income and Consumption Expenditure Survey data collected by Central Statistical Authority. It estimated Quadratic Almost Ideal Demand Systems (QUAIDS) of six groups of food items controlled for censoring and expenditure endogeneity by applying Nonlinear Seemingly Unrelated Regression (NLSUR) technique after incorporating household characteristics into the systems as intercept shifters. The descriptive statistics results showed that households allocate about 55 percent of income to food consumption of which root crops, fruits and vegetables were the dominant. The inferential statistics revealed that household characteristics such as sex, family size, age, education and location significantly influence the consumption patterns, and changes in income and prices would induce adjustment in consumption patterns that manifest by change in the quantities and types of items consumed. The results implicate the need for emphasizing crop specific price policies over holistic approach and policies that target income over policies targeting prices.

Published in International Journal of Agricultural Economics (Volume 5, Issue 6)
DOI 10.11648/j.ijae.20200506.12
Page(s) 234-242
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

QUAIDS, Expenditure elasticities, Hicksian, Marshallian Price Elasticities

References
[1] Tefera, N., M. Demeke, & S. Rashid. (2012). “Welfare Impacts of Rising Food Prices in Rural Ethiopia: a Quadratic Almost Ideal Demand System Approach”, Selected Paper prepared for presentation at the International Association of Agricultural Economists (IAAE) Triennial Conference, Foz do Iguaçu, Brazil, 18–24.
[2] Banks, J., R. Blundell, & A. Lewbel. (1997). “Quadratic Engel curves and consumer demand. Review of Economics and Statistics”, 79 (4), 527-539.
[3] García-Enríquez, J., & Echevarría, C. A. (2016). Consistent Estimation of a Censored Demand System and Welfare Analysis: The 2012 VAT Reform in Spain. Journal of Agricultural Economics, 67 (2), 324–347. https://doi.org/10.1111/1477-9552.12144.
[4] Lakkakula, P., Ripplinger, D., & Schmitz, A. (2016).” U.S. sweetener demand analysis: A QUAIDS model application”, Journal of Agricultural and Resource Economics, 41 (3): 533–548.
[5] Maganga, A. M., Alexander, M., Phiri, R., Mapemba, L. D., Gebremariam, G. G., & Dzanja, J. K. (2014).” A Food Demand System Estimation for Rural Malawi: Estimates Using Third Integrated Household Survey Data”, Paper Presented at the Agricultural and Applied Economics Association Annual Meetings in Minneapolis, MN, July 28-30, 2014., 1–21.
[6] Dybczak, K., Tóth, P., & Voňka, D. (2014). “Effects of price shocks on consumer demand: Estimating the QUAIDS demand system on Czech household budget survey data”, Finance a Uver - Czech Journal of Economics and Finance, 64 (6), 476–500.
[7] Boysen, O. (2012). "A Food Demand System Estimation for Uganda", IIIS Discussion Paper, 396.
[8] Ecker, O., & Qaim, M. (2011). “Analyzing Nutritional Impacts of Policies: An Empirical Study for Malawi. World Development”, 39 (3), 412–428.
[9] Tafere, K., Taffesse, A. S., & Tamru, S. (2010)."Food Demand Elasticities in Ethiopia: Estimates Using Household Income Consumption Expenditure (HICE) Survey Data”, ESSP2 Discussion Paper 011.
[10] Dhar, T. P., & Foltz, J. D. (2004). “Is Soy Milk? The Economics of The Soy Milk Market” Retrieved from http://ideas.repec.org/p/ags/aaea04/20337.html (excesion date 10/04/2018).
[11] Stone, R. N. (1954).” Linear expenditure systems and demand analysis: An application to the pattern of British demand”, Economic Journal, (64), 511-527.
[12] Theil, H. (1965), “The information approach to demand analysis”, Econometrica, 33 (1): 67-87.
[13] Christensen, L., Jorgenson, D. W., & Lau, L. J.(1975). “Transcendental logarithmic utility functions”, American Economics Review, (65), 367-383.
[14] Deaton, A., & Muellbauer, J. (1980). “An almost ideal demand system”, The American Economic Review, 70 (3), 312–326.
[15] Suriani, Diana Sapha, A., Rizki, C., & Majid, M. (2018).” Analysis of food demand elasticity of rice for the poor in Aceh, Indonesia: An almost ideal demand system approach”, DLSU Business and Economics Review, 27 (2): 179-189.
[16] Guerrero-López C., Colchero, M., & Unar-Munguía, M. (2017).” Price elasticity of the demand for soft drinks, other sugar-sweetened beverages and energy dense food in Chile”, BMC Public Health, 17 (1): 180. doi: 10.1186/s12889-017-4098-x. PMID: 28183287; PMCID: PMC5301435.
[17] Hayat, N. Hussain, A. & Yousaf, H. (2016).” Food Demand in Pakistan: Analysis and Projections”, South Asia Economic Journal, 17 (1) 94–113.
[18] Shimeles, A., & Delelegn, A. (2013). “Rising Food Prices and Household Welfare in Ethiopia: Evidence from Micro Data”, African Development Bank Group Working, (182), 1–40.
[19] Barslund, M. (2011).” Censored Demand System Estimation with Endogenous Expenditures in Clustered Samples: An Application to Food Demand in Mozambique”, LICOS Discussion Paper 280/2011 Censored, (0), 0–36.
[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] Shonkwiler, J. S. & S. T. Yen. 1999). Two-step estimation of a censored system of equation. American Journal of Agricultural Economics, 81 (4): 972-982.
[22] Hausman, J. A. (1978), “Specification Tests in Econometrics”, Econometrica 46 (6): 1251- 1271.
[23] 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), 209–232.
[24] Poi, B. P. Demand-system estimation: Update. The Stata Journal, 2008, 8 (4): 554-556.
[25] Klugman, J., & Loening, J. (2007). Welfare Impacts of Food Price Inflation in Ethiopia. Policy Note, Poverty Reduction and Economic Management Unit, Africa Region, (105653), 34-41.
Cite This Article
  • APA Style

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

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    ACS Style

    Yekin Ahmed Ali. Food Consumption Patterns and Demand Elasticities for South West Rural Ethiopia. Int. J. Agric. Econ. 2020, 5(6), 234-242. doi: 10.11648/j.ijae.20200506.12

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    AMA Style

    Yekin Ahmed Ali. Food Consumption Patterns and Demand Elasticities for South West Rural Ethiopia. Int J Agric Econ. 2020;5(6):234-242. doi: 10.11648/j.ijae.20200506.12

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  • @article{10.11648/j.ijae.20200506.12,
      author = {Yekin Ahmed Ali},
      title = {Food Consumption Patterns and Demand Elasticities for South West Rural Ethiopia},
      journal = {International Journal of Agricultural Economics},
      volume = {5},
      number = {6},
      pages = {234-242},
      doi = {10.11648/j.ijae.20200506.12},
      url = {https://doi.org/10.11648/j.ijae.20200506.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20200506.12},
      abstract = {Demand elasticities are powerful tools to quantify welfare effects of relative price changes concomitant to shocks in economic environment of consumers. This study examined food demand elasticities to demonstrate how rural households in South West Ethiopia react to income and price changes by drawing on 267 observations of Household Income and Consumption Expenditure Survey data collected by Central Statistical Authority. It estimated Quadratic Almost Ideal Demand Systems (QUAIDS) of six groups of food items controlled for censoring and expenditure endogeneity by applying Nonlinear Seemingly Unrelated Regression (NLSUR) technique after incorporating household characteristics into the systems as intercept shifters. The descriptive statistics results showed that households allocate about 55 percent of income to food consumption of which root crops, fruits and vegetables were the dominant. The inferential statistics revealed that household characteristics such as sex, family size, age, education and location significantly influence the consumption patterns, and changes in income and prices would induce adjustment in consumption patterns that manifest by change in the quantities and types of items consumed. The results implicate the need for emphasizing crop specific price policies over holistic approach and policies that target income over policies targeting prices.},
     year = {2020}
    }
    

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  • TY  - JOUR
    T1  - Food Consumption Patterns and Demand Elasticities for South West Rural Ethiopia
    AU  - Yekin Ahmed Ali
    Y1  - 2020/10/30
    PY  - 2020
    N1  - https://doi.org/10.11648/j.ijae.20200506.12
    DO  - 10.11648/j.ijae.20200506.12
    T2  - International Journal of Agricultural Economics
    JF  - International Journal of Agricultural Economics
    JO  - International Journal of Agricultural Economics
    SP  - 234
    EP  - 242
    PB  - Science Publishing Group
    SN  - 2575-3843
    UR  - https://doi.org/10.11648/j.ijae.20200506.12
    AB  - Demand elasticities are powerful tools to quantify welfare effects of relative price changes concomitant to shocks in economic environment of consumers. This study examined food demand elasticities to demonstrate how rural households in South West Ethiopia react to income and price changes by drawing on 267 observations of Household Income and Consumption Expenditure Survey data collected by Central Statistical Authority. It estimated Quadratic Almost Ideal Demand Systems (QUAIDS) of six groups of food items controlled for censoring and expenditure endogeneity by applying Nonlinear Seemingly Unrelated Regression (NLSUR) technique after incorporating household characteristics into the systems as intercept shifters. The descriptive statistics results showed that households allocate about 55 percent of income to food consumption of which root crops, fruits and vegetables were the dominant. The inferential statistics revealed that household characteristics such as sex, family size, age, education and location significantly influence the consumption patterns, and changes in income and prices would induce adjustment in consumption patterns that manifest by change in the quantities and types of items consumed. The results implicate the need for emphasizing crop specific price policies over holistic approach and policies that target income over policies targeting prices.
    VL  - 5
    IS  - 6
    ER  - 

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Author Information
  • Department of Economics, Kotobe Metropolitan University, Addis Ababa, Ethiopia

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