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Asymmetric price transmission effect of corn on hog: evidence from China

Author

Listed:
  • Gangyi WANG

    (College of Economics and Management, Northeast Agricultural University, Harbin, China)

  • Runxiang SI

    (College of Economics and Management, Northeast Agricultural University, Harbin, China)

  • CuiXia LI
  • GuiTong ZHANG

    (College of Economics and Management, Northeast Agricultural University, Harbin, China)

  • Nengyue ZHU

    (College of Economics and Management, Northeast Agricultural University, Harbin, China)

Abstract

In this study, we used monthly corn price and hog price data from January 2000 to June 2015 to conduct an empirical analysis based on a smooth transition regression (STR) model. The analysis confirms and explains the asymmetric transmission mechanism and process of the smooth transformation of corn prices to hog prices and measures the mechanism conversion threshold. Using the smooth transformation mechanism and its threshold as its foundations, this study breaks up continuous smooth transfer price volatility transmission effects into completely linear, not completely linear, and nonlinear mechanism states. Based on these states, the influence of corn price on hog price fluctuation is attributed to cost-push inflation, risk stabilisation effects, and the coexistence of cost-push and risk-stabilisation effects from the perspective of adaptive expectations.

Suggested Citation

  • Gangyi WANG & Runxiang SI & CuiXia LI & GuiTong ZHANG & Nengyue ZHU, 2018. "Asymmetric price transmission effect of corn on hog: evidence from China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(4), pages 186-196.
    • Handle: RePEc:caa:jnlage:v:64:y:2018:i:4:id:227-2016-agricecon
    DOI: 10.17221/227/2016-AGRICECON
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    References listed on IDEAS

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    1. Awudu Abdulai, 2002. "Using threshold cointegration to estimate asymmetric price transmission in the Swiss pork market," Applied Economics, Taylor & Francis Journals, vol. 34(6), pages 679-687.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    4. Goodwin, Barry K. & Harper, Daniel C., 2000. "Price Transmission, Threshold Behavior, And Asymmetric Adjustment In The U.S. Pork Sector," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(3), pages 1-11, December.
    5. Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207.
    6. Arthur A. Harlow, 1960. "The Hog Cycle and the Cobweb Theorem," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 42(4), pages 842-853.
    7. Jean-Paul Chavas & Matthew T. Holt, 1991. "On Nonlinear Dynamics: The Case of the Pork Cycle," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 819-828.
    8. Griffith, Garry R., 1977. "A Note On The Pig Cycle In Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(2), pages 1-10, August.
    9. Hovav Talpaz, 1974. "Multi-Frequency Cobweb Model: Decomposition of the Hog Cycle," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(1), pages 38-49.
    10. Matthew T. Holt & Lee A. Craig, 2006. "Nonlinear Dynamics and Structural Change in the U.S. Hog—Corn Cycle: A Time-Varying STAR Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 215-233.
    11. Garry R. Griffith, 1977. "A Note On The Pig Cycle In Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(2), pages 130-139, August.
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