IDEAS home Printed from https://ideas.repec.org/a/ags/agreko/347279.html
   My bibliography  Save this article

Investigating Volatility in Coffee Prices Along the Ethiopian Coffee Value Chain

Author

Listed:
  • Worako, T.K.
  • Jordaan, H.
  • Van Schalkwyk, H.D.

Abstract

The coffee sub-sector is a major contributor to the Ethiopian economy. In addition to accounting for approximately 40 per cent on average of total export earnings, coffee production provides a livelihood for a large proportion of the Ethiopian population in the form of jobs for farmers, local traders, transporters and exporters. Volatility in the price of coffee thus influences a large proportion of the population all along the coffee commodity chain within Ethiopia. This study uses the Autoregressive Conditional Heteroscedasticity/Generalized Autoregressive Conditional Heteroscedasticity (ARCH)/(GARCH) approach to quantify the volatility in the price of coffee. A distinction is made between producer, wholesale and export prices in order to compare the price risk as faced by the respective participants in the coffee chain. The volatility in coffee prices within Ethiopia is also compared to the volatility levels in Brazilian coffee prices, since Brazil is a major coffee producing country in the world. Coffee prices within Ethiopia were found to be more volatile than in Brazil. Producer prices were found to be the most volatile, followed by wholesale prices and export prices respectively. The high level of volatility in producer prices emphasises the need for efficient price risk management tools that should be available to coffee producers in Ethiopia.

Suggested Citation

  • Worako, T.K. & Jordaan, H. & Van Schalkwyk, H.D., 2011. "Investigating Volatility in Coffee Prices Along the Ethiopian Coffee Value Chain," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 50(3), September.
  • Handle: RePEc:ags:agreko:347279
    DOI: 10.22004/ag.econ.347279
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/347279/files/Investigating%20Volatility%20in%20Coffee%20Prices%20Along%20the%20Ethiopian%20Coffee%20Value%20Chain.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.347279?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. Lucia Hanmer & Felix Naschold, 2000. "Attaining the International Development Targets: Will Growth Be Enough?," Development Policy Review, Overseas Development Institute, vol. 18(1), pages 11-36, March.
    3. Dercon, Stefan & Ayalew, Lulseged, 1995. "Smuggling and supply response: Coffee in Ethiopia," World Development, Elsevier, vol. 23(10), pages 1795-1813, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:ags:ijag24:347279 is not listed on IDEAS
    2. Paul Mosley, 2004. "Institutions And Politics In A Lewis‐Type Growth Model," Manchester School, University of Manchester, vol. 72(6), pages 751-773, December.
    3. Hamdi, Helmi & Sbia, Rashid, 2013. "Dynamic relationships between oil revenues, government spending and economic growth in an oil-dependent economy," Economic Modelling, Elsevier, vol. 35(C), pages 118-125.
    4. Costas Karfakis, 2003. "Exchange rate determination during hyperinflation: the case of the Romanian lei," Applied Financial Economics, Taylor & Francis Journals, vol. 13(6), pages 473-476.
    5. Pereira, Diogo Santos & Marques, António Cardoso, 2020. "How should price-responsive electricity tariffs evolve? An analysis of the German net demand case," Utilities Policy, Elsevier, vol. 66(C).
    6. Muhammad AJMAIR & Khadim HUSSAIN & Sabahat AKRAM & Ambreen ZEB, 2017. "What determines the growth of services sector in Pakistan? A comparison of ARDL bound testing and time varying parametric estimation with general to specific approach," Turkish Economic Review, KSP Journals, vol. 4(3), pages 308-319, September.
    7. Rossana, Robert J., 1988. "Interrelated Demands for Buffer Stocks and Productive Inputs: Estimates for Two-Digit Manufacturing Industries," Department of Economics and Business - Archive 259428, North Carolina State University, Department of Economics.
    8. Naseem, N.A.M & Tan, Hui-Boon & Hamizah, M.S, 2008. "Exchange Rate Misalignment, Volatility and Import Flows in Malaysia," MPRA Paper 41571, University Library of Munich, Germany.
    9. Elyasiani, Elyas & Mansur, Iqbal & Pagano, Michael S., 2007. "Convergence and risk-return linkages across financial service firms," Journal of Banking & Finance, Elsevier, vol. 31(4), pages 1167-1190, April.
    10. Michel DIMOU & Alexandra SCHAFFAR & Zhihong CHEN & Shihe FU, 2008. "LA CROISSANCE URBAINE CHINOISE RECONSIDeReE," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 27, pages 109-131.
    11. Bosker, Maarten & Brakman, Steven & Garretsen, Harry & Schramm, Marc, 2008. "A century of shocks: The evolution of the German city size distribution 1925-1999," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 330-347, July.
    12. Maswana, Jean-Claude, 2006. "An empirical investigation around the finance-growth puzzle in China with a particular focus on causality and efficiency considerations," MPRA Paper 3946, University Library of Munich, Germany, revised Apr 2006.
    13. Bakari, Sayef, 2019. "Do Agricultural Raw Materials Imports Cause Agricultural Growth? Empirical Analysis from North Africa," Bulletin of Economic Theory and Analysis, BETA Journals, vol. 4(2), pages 65-77, December.
    14. Jinan Liu & Apostolos Serletis, 2023. "Volatility and dependence in energy markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 15-37, March.
    15. Bierens, H.J. & Broersma, L., 1991. "The relation between unemployment and interest rate : some international evidence," Serie Research Memoranda 0112, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    16. Chebbi, Houssem Eddine & Lachaal, Lassaad, 2007. "Agricultural Sector and Economic Growth in Tunisia: Evidence from Co-integration and Error Correction Mechanism," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9416, European Association of Agricultural Economists.
    17. Muhammad Zia Ullah Khan & Muhammad Illyas & Muqqadas Rahman & Chaudhary Abdul Rahman, 2015. "Money Monetization and Economic Growth in Pakistan," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(4), pages 184-192, April.
    18. Xu, Haifeng & Hamori, Shigeyuki, 2012. "Dynamic linkages of stock prices between the BRICs and the United States: Effects of the 2008–09 financial crisis," Journal of Asian Economics, Elsevier, vol. 23(4), pages 344-352.
    19. Miguel Ramirez & Shahryar Khan, 1999. "A cointegration analysis of purchasing power parity: 1973–96," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(3), pages 369-385, August.
    20. Guili Liao & Qimeng Liu & Rongmao Zhang & Shifang Zhang, 2022. "Rank test of unit‐root hypothesis with AR‐GARCH errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(5), pages 695-719, September.
    21. Albacete, Rebeca, 2005. "Forecasting inflation in the euro area using monthly time series models and quarterly econometric models," DES - Working Papers. Statistics and Econometrics. WS ws050401, Universidad Carlos III de Madrid. Departamento de Estadística.

    More about this item

    Keywords

    Agribusiness; Agricultural Finance;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:agreko:347279. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeasaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.