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The Impact of Pig Futures on the Price Transmission in the Pig Industry Chain during Market Shocks

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  • Yingman Wang

    (School Finance, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Yubin Huangfu

    (School Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

Abstract

In recent years, frequent external emergencies have continuously impacted China’s pig industry chain. As the scale and standardization of pig farming in China have increasingly improved, pig futures have met the conditions for good operation and were listed for trading on the Dalian Commodity Exchange on 8 January 2021. To study the impact and influence of African swine fever, COVID-19, and the listing of pig futures on the price transmission mechanism at various stages of China’s pig industry, weekly price data from the pig industry from January 2015 to June 2023 were selected to construct an SV-TVP-VAR model for analysis. The empirical results showed that the shocks of African swine fever and COVID-19 caused price fluctuations at various stages of the pig industry chain, while price fluctuations significantly decreased after the listing of pig futures. Therefore, the introduction of pig futures effectively alleviated the price fluctuations at various stages of the pig industry chain following the shocks of African swine fever and COVID-19, and relevant policy recommendations are proposed accordingly.

Suggested Citation

  • Yingman Wang & Yubin Huangfu, 2024. "The Impact of Pig Futures on the Price Transmission in the Pig Industry Chain during Market Shocks," Agriculture, MDPI, vol. 14(8), pages 1-18, August.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:8:p:1343-:d:1454124
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    References listed on IDEAS

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    1. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    2. Colin A. Carter & Sandeep Mohapatra, 2008. "How Reliable Are Hog Futures as Forecasts?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 367-378.
    3. Hachmi Ben Ameur & Zied Ftiti & Waël Louhichi, 2022. "Revisiting the relationship between spot and futures markets: evidence from commodity markets and NARDL framework," Annals of Operations Research, Springer, vol. 313(1), pages 171-189, June.
    4. Param Silvapulle & Imad A. Moosa, 1999. "The relationship between spot and futures prices: Evidence from the crude oil market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(2), pages 175-193, April.
    5. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    6. Easwaran, R. Salvadi & Ramasundaram, P., 2008. "Whether commodity futures market in agriculture is efficient in price discovery? - An econometric analysis," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 21(Conferenc).
    7. 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.
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