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Dynamic and contemporaneous causality in a supply chain: an application of the US beef industry

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  • Moonsoo Park
  • Yanhong Jin
  • Alan Love

Abstract

Causal relationships are used to investigate information flows and directions of control in a decentralized multi-echelon supply chain where no central authority has system level control over optimizing decisions. We use secondary time-series data representing the US beef industry to investigate dynamic and contemporaneous causality based on out-of-sample Granger causality and Direct Acyclic Graphs (DAGs). Results indicate: (i) the US beef supply chain experienced a significant structural change in late 1996 and early 1997 that may be attributed to a weather induced production shock and an apparent turnaround of the cattle cycle; (ii) contemporaneous causalities appear to be stronger and dynamic causalities appear to be weaker after the structural change, suggesting faster and more effective information transmission along the supply chain after the structural change; (iii) contemporaneous information appears to flow from upstream to downstream tiers in the supply chain before the structural break, which reverses after the structural break, suggesting a shift in control from upstream to downstream firms; and (iv) co-use of spot market and contracts to procure strategic inputs by processors appears to allow processors some control of spot price through contract purchases in the post-break period. Our approach could be readily used to investigate other multi-echelon systems.

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  • Moonsoo Park & Yanhong Jin & Alan Love, 2011. "Dynamic and contemporaneous causality in a supply chain: an application of the US beef industry," Applied Economics, Taylor & Francis Journals, vol. 43(30), pages 4785-4801.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:30:p:4785-4801
    DOI: 10.1080/00036846.2010.498357
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    as
    1. Tian Xia & Richard J. Sexton, 2004. "The Competitive Implications of Top-of-the-Market and Related Contract-Pricing Clauses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 124-138.
    2. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    3. Diebold, Francis X. & Rudebusch, Glenn D., 1991. "On the power of Dickey-Fuller tests against fractional alternatives," Economics Letters, Elsevier, vol. 35(2), pages 155-160, February.
    4. Phillips, Peter C. B. & McFarland, James W., 1997. "Forward exchange market unbiasedness: the case of the Australian dollar since 1984," Journal of International Money and Finance, Elsevier, vol. 16(6), pages 885-907, December.
    5. Moonsoo Park & Yanhong H. Jin & David A. Bessler, 2008. "The impacts of animal disease crises on the Korean meat market," Agricultural Economics, International Association of Agricultural Economists, vol. 39(2), pages 183-195, September.
    6. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    7. Douglas M. Hawkins, 1976. "Point Estimation of the Parameters of Piecewise Regression Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 25(1), pages 51-57, March.
    8. DeJong, David N. & Nankervis, John C. & Savin, N. E. & Whiteman, Charles H., 1992. "The power problems of unit root test in time series with autoregressive errors," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 323-343.
    9. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    10. Kasman, Adnan & Ayhan, Duygu, 2008. "Foreign exchange reserves and exchange rates in Turkey: Structural breaks, unit roots and cointegration," Economic Modelling, Elsevier, vol. 25(1), pages 83-92, January.
    11. Zhongjun Qu & Pierre Perron, 2007. "Estimating and Testing Structural Changes in Multivariate Regressions," Econometrica, Econometric Society, vol. 75(2), pages 459-502, March.
    12. Badi Baltagi & Zijun Wang, 2007. "Testing for Cointegrating Rank Via Model Selection: Evidence From 165 Data Sets," Empirical Economics, Springer, vol. 33(1), pages 41-49, July.
    13. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    14. Bessler, David A. & Yang, Jian, 2003. "The structure of interdependence in international stock markets," Journal of International Money and Finance, Elsevier, vol. 22(2), pages 261-287, April.
    15. Jörg Breitung & Norman R. Swanson, 2002. "Temporal aggregation and spurious instantaneous causality in multiple time series models," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(6), pages 651-665, November.
    16. Chao, John C. & Phillips, Peter C. B., 1999. "Model selection in partially nonstationary vector autoregressive processes with reduced rank structure," Journal of Econometrics, Elsevier, vol. 91(2), pages 227-271, August.
    17. Corradi, Valentina & Swanson, Norman R., 2002. "A consistent test for nonlinear out of sample predictive accuracy," Journal of Econometrics, Elsevier, vol. 110(2), pages 353-381, October.
    18. Abul Masih & Rumi Masih, 1998. "A multivariate cointegrated modelling approach in testing temporal causality between energy consumption, real income and prices with an application to two Asian LDCs," Applied Economics, Taylor & Francis Journals, vol. 30(10), pages 1287-1298.
    19. 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.
    20. Phillips, Peter C B, 1996. "Econometric Model Determination," Econometrica, Econometric Society, vol. 64(4), pages 763-812, July.
    21. Selva Demiralp & Kevin D. Hoover, 2003. "Searching for the Causal Structure of a Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 745-767, December.
    22. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    23. Selva Demiralp & Kevin D. Hoover, 2003. "Searching for the Causal Structure of a Vector Autoregression," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(s1), pages 745-767, December.
    24. Masih, Rumi & Masih, Abul M. M., 1996. "Macroeconomic activity dynamics and Granger causality: New evidence from a small developing economy based on a vector error-correction modelling analysis," Economic Modelling, Elsevier, vol. 13(3), pages 407-426, July.
    25. Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
    26. Hwarng, H. Brian & Xie, Na, 2008. "Understanding supply chain dynamics: A chaos perspective," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1163-1178, February.
    27. Titus Awokuse, 2006. "Export-led growth and the Japanese economy: evidence from VAR and directed acyclic graphs," Applied Economics, Taylor & Francis Journals, vol. 38(5), pages 593-602.
    28. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
    29. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    30. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    31. Haim Mendelson & Tunay I. Tunca, 2007. "Strategic Spot Trading in Supply Chains," Management Science, INFORMS, vol. 53(5), pages 742-759, May.
    32. Fuqiang Zhang, 2006. "Competition, Cooperation, and Information Sharing in a Two-Echelon Assembly System," Manufacturing & Service Operations Management, INFORMS, vol. 8(3), pages 273-291, March.
    33. Ted C. Schroeder & Rodney Jones & James Mintert & Andrew P. Barkley, 1993. "The Impact of Forward Contracting on Fed Cattle Transaction Prices," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 15(2), pages 325-337.
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    Cited by:

    1. Joseph, Kishore & Garcia, Philip & Peterson, Paul E., 2016. "Does the Boxed Beef Price Inform the Live Cattle Futures Price?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236166, Agricultural and Applied Economics Association.
    2. Ji, In Bae & Chung, Chanjin, 2012. "Causality Between Captive Supplies and Cash Market Prices in the U.S. Cattle Procurement Market," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-11, December.

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