IDEAS home Printed from https://ideas.repec.org/p/ags/aaae16/246910.html
   My bibliography  Save this paper

Efficiency of selected camel markets in Sudan: A multivariate approach (1995-2011)

Author

Listed:
  • Bushara, Mohammed O. A.
  • Abdelmahmod, Murtada Kh. A.

Abstract

Despite the significant importance of camels to Sudanese economy but their markets still not well developed. The main constraints include poor market infrastructure, lack of market organization, inadequacy of market finance and transport services, these constraints are affecting marketing efficiency. Information of spatial market integration provides indication of competitiveness, the effectiveness of arbitrage, and the efficiency of pricing, however, markets that are not integrated may convey inaccurate price signal that might distort producers marketing decisions and contribute to inefficient production. The main objective of this study is to investigate price movements among important camel markets in Sudan to explore their performance and pricing efficiency. The study focused on scrutinizing the Camel markets in Sudan by considering the prices of five livestock markets which were Elobied, Omdurman, Sennar and Nyala. The study covered the periods from January 1995 to December 2011. The results showed that Omdurman camel market transforms the signal of prices toward other markets in the long run concluded that these markets were cointegrated, and the system was centered on Omdurman which mean the market was demand driven in the long run. Policies may draw attention to turn consumer behavior towards camel meat consumption. Clear strategy may be developed to improve the camel meat industry and exporting activities through developing the slaughterhouse and freezing, cooling storage, transportation and insures the health services in national capital.

Suggested Citation

  • Bushara, Mohammed O. A. & Abdelmahmod, Murtada Kh. A., 2016. "Efficiency of selected camel markets in Sudan: A multivariate approach (1995-2011)," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246910, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae16:246910
    DOI: 10.22004/ag.econ.246910
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/246910/files/241.%20Efficiency%20of%20selected%20camel%20markets%20in%20Sudan.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.246910?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. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    4. Barry K. Goodwin & Ted C. Schroeder, 1991. "Cointegration Tests and Spatial Price Linkages in Regional Cattle Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 452-464.
    5. Richard J. Sexton & Catherine L. Kling & Hoy F. Carman, 1991. "Market Integration, Efficiency of Arbitrage, and Imperfect Competition: Methodology and Application to U.S. Celery," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 568-580.
    6. 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.
    7. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    8. Akaike, Hirotugu, 1981. "Likelihood of a model and information criteria," Journal of Econometrics, Elsevier, vol. 16(1), pages 3-14, May.
    9. repec:idb:brikps:21498 is not listed on IDEAS
    10. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    11. World Bank, 2010. "The World Bank Annual Report 2010," World Bank Publications - Books, The World Bank Group, number 5906, December.
    12. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    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. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, June.
    2. Olagunju, Kehinde Oluseyi & Feng, Siyi & Patton, Myles, 2021. "Dynamic relationships among phosphate rock, fertilisers and agricultural commodity markets: Evidence from a vector error correction model and Directed Acyclic Graphs," Resources Policy, Elsevier, vol. 74(C).
    3. Óscar Penagos Gómez & Héctor Rojas Serrano & Jacobo Campo Robledo, 2015. "La Paradoja de Feldstein-Horioka – Evidencia para Colombia durante 1925-2011," Revista Ecos de Economía, Universidad EAFIT, vol. 19(40), pages 4-24, June.
    4. Lee, Chin & M., Azali, 2013. "Financial Integration among ASEAN+3 Countries: Evidence from Exchange Rates," MPRA Paper 58162, University Library of Munich, Germany.
    5. Francisco Rebelo & Ester Gomes da Silva, 2013. "Export variety, technological content and economic performance: The case of Portugal," Papers in Evolutionary Economic Geography (PEEG) 1310, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2013.
    6. R. Scott Hacker & Abdulnasser Hatemi-J, 2021. "Model selection in time series analysis: using information criteria as an alternative to hypothesis testing," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(6), pages 1055-1075, September.
    7. Óscar Penagos Gómez & Héctor Rojas Serrano & Jacobo Campo Robledo, 2013. "La paradoja Feldstein – Horioka: Evidencia para Colombia (1925 – 2011)," Documentos de Trabajo 12393, Universidad Católica de Colombia.
    8. Cushman, David O. & Sang Sub Lee & Thorgeirsson, Thorsteinn, 1996. "Maximum likelihood estimation of cointegration in exchange rate models for seven inflationary OECD countries," Journal of International Money and Finance, Elsevier, vol. 15(3), pages 337-368, June.
    9. Hsiang-Hsi Liu & Chien-Kuo Tseng, 2022. "Common Components in Co-integrated System and Its Estimation and Application: Evidence from Five Stock Markets in Asia-Pacific Chinese Region," Bulletin of Applied Economics, Risk Market Journals, vol. 9(2), pages 101-121.
    10. Yap, Wei Yim & Lam, Jasmine S.L., 2006. "Competition dynamics between container ports in East Asia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(1), pages 35-51, January.
    11. Frank Asche, 2001. "Testing the effect of an anti-dumping duty: The US salmon market," Empirical Economics, Springer, vol. 26(2), pages 343-355.
    12. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    13. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    14. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    15. Jiranyakul, Komain, 2009. "Economic Forces and the Thai Stock Market, 1993-2007," MPRA Paper 57368, University Library of Munich, Germany.
    16. Martin T. Bohl & Alexander Pütz & Pierre L. Siklos & Christoph Sulewski, 2018. "Information Transmission under Increasing Political Tension – Evidence for the Berlin Produce Exchange 1887-1896," CQE Working Papers 7618, Center for Quantitative Economics (CQE), University of Muenster.
    17. Gries, Thomas & Kraft, Manfred & Meierrieks, Daniel, 2009. "Linkages Between Financial Deepening, Trade Openness, and Economic Development: Causality Evidence from Sub-Saharan Africa," World Development, Elsevier, vol. 37(12), pages 1849-1860, December.
    18. Eleni Constantinou & Avo Kazandjian & Georgios P. Kouretas & Vera Tahmazian, 2008. "Common Stochastic Trends Among The Cyprus Stock Exchange And The Ase, Lse And Nyse," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 327-349, October.
    19. Erdal Demirhan & Banu Demirhan, 2015. "The Dynamic Effect of ExchangeRate Volatility on Turkish Exports: Parsimonious Error-Correction Model Approach," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 62(4), pages 429-451, September.
    20. Murthy, N. R. Vasudeva & Phillips, Joseph M., 1996. "The relationship between budget deficits and capital inflows: Further econometric evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(4), pages 485-494.

    More about this item

    Keywords

    Livestock Production/Industries; Marketing;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:aaae16:246910. 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/aaaeaea.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.