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World Journal of Agricultural Research. 2020, 8(1), 6-11
DOI: 10.12691/WJAR-8-1-2
Original Research

Econometric Analysis of Retail Prices of Major Agricultural Food Commodities in Dire Dawa City Administration, Ethiopia

Dufera Tejjeba Kebede1, and Desa Daba Fufa1

1Department of Statistics, Haramaya University, Dire Dawa, Ethiopia

Pub. Date: January 08, 2020

Cite this paper

Dufera Tejjeba Kebede and Desa Daba Fufa. Econometric Analysis of Retail Prices of Major Agricultural Food Commodities in Dire Dawa City Administration, Ethiopia. World Journal of Agricultural Research. 2020; 8(1):6-11. doi: 10.12691/WJAR-8-1-2

Abstract

Food commodities prices have increased over the recent decade attracting the attention of market participants and policy makers. The short period between the recent price surges has therefore drawn concerns and raised questions on the causes and future prospects of commodity markets. Instability and variation in food production over years contribute immensely to food insecurity. This study focuses on the objectives include: to explore the trends of prices of selected agricultural food commodities and to examine the short run and long run relationship between the prices of the selected agricultural food commodities. In order to examine the series, the unit root tests (ADF and Phillips-Perron tests), identification of the number of lags and co-integration analyses were conducted. Unit root tests indicate that all series are non-stationary at level and are stationary (first difference) at 5 percent significant level. The Johansen co-integration test suggests that there is at least one co-integration vector, which describes the long run relationship between prices of Rice, white Teff, Maize and Sorghum. The appropriate number of lag identified was two. The VECM analysis findings showed the existence of integration between the prices and revealed that increase in prices of maize and sorghum in the past will decrease price of Rice in the long run. Similarly, the result of VECM showed as prices of white Teff and Rice have positive relationship.

Keywords

co-integration, retail price, stationarity, vector error correction

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]  FAO (2010). Commodity Market Review 2009-2010. Food and Agriculture Organization of the United Nations, FAO, Rome.
 
[2]  Alem, Yonas & Soderbom, Mans (2012). Household-Level Consumption in Urban Ethiopia: The Effects of a Large Food Price Shock," World Development, Elsevier, vol. 40(1), pages 146-162.
 
[3]  FAO, IFAD, IMF, OECD, UNCTAD, WFP, World Bank, WTO, IFPRI (2011): Price Volatility in Food and Agricultural Markets: Policy Responses. Policy Report. Available at: http://www.oecd.org
 
[4]  Tangermann S. (2011): Risk management in Agriculture and the Future of the EU’s Common Agricultural Policy. International Centre for Trade and Sustainable Development, Issue Paper (34).
 
[5]  Taya S. (2012):Stochastic model development and price volatility analysis, OECD food, agricultural and fisheries working papers, No. 57, OECD publishing. Retrieved in October 2012.
 
[6]  Assefa T. T., Meuwissen M. P., Oude Lansink A. G. (2015): Price volatility transmission in food supply chains: a literature review. Agribusiness 31(1): 3-13.
 
[7]  Badmus M. A., Ogundele F. (2008). Global food crisis and output supply response: Implications for food security in Nigeria.
 
[8]  CSA (Central Statistical Authority (2012). Monthly food prices survey data for Harari regional state and Dire-Dawa administration (2007-2012) report, Addis Ababa, Ethiopia.
 
[9]  Alemeayehu, G. and Kibrom, T. (2011). The Galloping Inflation in Ethiopia: A Cautionary Tale for Aspiring ‘Developmental States‘ in Africa‖, Institute of African Economic Studies, Working Paper Serious No. A01/2011.
 
[10]  NBE (National Bank of Ethiopia). (2008/09). -Annual Report, Economic Research and Monetary Policy Directorate‖, National Bank of Ethiopia, Addis Ababa
 
[11]  Habyarimana J. B, Munyemana E.,Impeta F. B. (2014): Food Prices Volatility in Rwanda: A VAR Model. World Journal of Agricultural Research 2(6): 296-302.
 
[12]  HLPE (2011). Volatility and food security a report by The High Level Panel of Experts on Food Security and Nutrition. Roma, July.