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2019 | z. 4 (54) | 345--353
Tytuł artykułu

Price Transmission Analysis of Pasteurized Liquid Milk in South Africa: the Granger Causality Approach

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Price transmission studies have become increasingly important in Sub-Saharan Africa over the past decades because of its nature of providing clear and insightful information into these markets. In this study, the price transmission mechanism is described with an agricultural product within the dairy industry, namely pasteurized liquid milk. The aim of this study was to investigate and analyze the nature of the price transmission mechanism for pasteurized liquid milk in South Africa. The study used secondary time series data that covered a sample size of 17 years (2000-2016) for pasteurized liquid milk. The Granger causality test and the Vector Error Correction Model were used for data analysis. The Granger causality tests suggest that a bidirectional causal relationship exists between processor and farmgate prices, and also between retail and processor prices. On the other hand, retail prices were found to have a unidirectional causality effect on farmgate prices. The VECM results showed asymmetric price transmission, implying that retailers and processors react quicker to a price increase than to a price decrease. A price monitoring policy is suggested to be put in place in order to protect the consumers from unfair prices passed on by the retailers. (original abstract)
Rocznik
Numer
Strony
345--353
Opis fizyczny
Twórcy
  • University of Limpopo, South Africa
  • University of Limpopo, South Africa
  • University of Limpopo, South Africa
Bibliografia
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  • Dickey, D. A., Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. J. Am. Stat. Assoc., 74(366), 427.
  • Coetzee, K. (2015). LactoData, 18(2).
  • Engle, R. F., Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251.
  • Elham, D. (2018). Price transmission analysis for Nicaragua rice market. Int. J. Food Agric. Econ. 6(1), 85-94.
  • Funke, T. B. (2006). From farm to retail: costs and margins of selected food industries in South Africa. Pretoria: University of Pretoria.
  • Granger, C. W. J. (1969). Prediction with a generalized cost of error function. J. Oper. Res. Soc., 20(2), 199-207.
  • IDF (2013). The world dairy situation. Bulletin of the International Dairy Federation, 470.
  • Kharin, S. (2015). Vertical price transmission along the diary supply chain in Russia. Stud. Agric. Econ., 117(2), 80-85.
  • Kirsten, J. F., Cutts, M. (2006). Asymmetric price transmission and market concentration: An investigation into four South African Agro-food industries. South Afr. J. Econ., 74, 324-333.
  • Konya, L. (2004). Unit root, co-integration and Granger causality test results for export and growth in OECD countries. Int. J. Appl. Econ. Quant. Stud., 1-2, 67-94.
  • Mandizvidza, K. (2013). Price transmission in tomato markets of Limpopo Province, South Africa. Dissertation submitted in Faculty of Science and Agriculture, University of Limpopo.
  • Midgley, S. J. E. (2016). Commodity value chain analysis for dairy. WWF-SA, South Africa.
  • Uchezuba, D. (2010). Econometric estimation of Armington elasticities for selected agricultural products in South Africa. South Afr. J. Econ. Manag. Sci., 13(2), 123.
  • Usman, M. A. (2012). Producer- Retailer price transmission in the cereal markets of Ethiopia. Masters thesis submitted to Rheinische Friedrich-Wilhelms (pp. 40-52). Universitat Bonn, Germany.
  • Vavra, P., Goodwin, B. K. (2005). Analysis of price transmission along the food chain. OECD Food, Agriculture and Fisheries Papers.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171581914

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