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The Microcosmic Mechanism and Empirical Test of Uncertainty on the Non-Linear Fluctuation of Chinese Grain Prices-Based on the Perspective of Global Economic Policy Uncertainty

Author

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  • Junguo Hua

    (College of Economic and Management, Henan Agricultural University, Zhengzhou 450000, China)

  • Hui Li

    (College of Economic and Management, Henan Agricultural University, Zhengzhou 450000, China)

  • Zejun He

    (College of Economic and Management, Henan Agricultural University, Zhengzhou 450000, China)

  • Jing Ding

    (College of Economic and Management, Henan Agricultural University, Zhengzhou 450000, China)

  • Futong Jin

    (College of Economic and Management, Henan Agricultural University, Zhengzhou 450000, China)

Abstract

The dramatic fluctuations in grain prices and the threat to grain security caused by global economic policy uncertainty have been a social concern and a challenging area for price management authorities to regulate. Based on general equilibrium analysis in microeconomics, this paper constructs a mathematical model of the impact of global economic policy uncertainty on grain price fluctuation. It then examines the micro mechanism of non-linear grain price fluctuation under the dominant market mechanism and measures the non-linear shock effect of global economic policy uncertainty on grain prices using a threshold regression model. The results show that soybean and corn prices are subject to a two-zone fluctuation pattern due to global economic policy uncertainty. The impact has significant non-linear characteristics and is significantly greater in the high zone than that in the low zone. Accordingly, this paper offers government departments advice on better regulating and managing the market supply and demand and smoothing out sharp fluctuations in grain prices caused by changes in global economic policies.

Suggested Citation

  • Junguo Hua & Hui Li & Zejun He & Jing Ding & Futong Jin, 2022. "The Microcosmic Mechanism and Empirical Test of Uncertainty on the Non-Linear Fluctuation of Chinese Grain Prices-Based on the Perspective of Global Economic Policy Uncertainty," Agriculture, MDPI, vol. 12(10), pages 1-17, September.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1526-:d:922474
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    References listed on IDEAS

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    1. Wen, Jun & Khalid, Samia & Mahmood, Hamid & Zakaria, Muhammad, 2021. "Symmetric and asymmetric impact of economic policy uncertainty on food prices in China: A new evidence," Resources Policy, Elsevier, vol. 74(C).
    2. Joëts, Marc & Mignon, Valérie & Razafindrabe, Tovonony, 2017. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 313-326.
    3. Choi, Moon Jung & Hwang, Sangyeon & Im, Hyejoon, 2022. "Cross-border trade credit and trade flows during the global financial crisis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 497-510.
    4. Mei, Dexiang & Xie, Yutang, 2022. "U.S. grain commodity futures price volatility: Does trade policy uncertainty matter?," Finance Research Letters, Elsevier, vol. 48(C).
    5. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    6. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    7. Zhang, Xiaoyu & Liu, Yongfu, 2020. "The dynamic impact of international agricultural commodity price fluctuation on Chinese agricultural commodity prices," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(3), August.
    8. Huiming Zhu & Rui Huang & Ningli Wang & Liya Hau, 2020. "Does economic policy uncertainty matter for commodity market in China? Evidence from quantile regression," Applied Economics, Taylor & Francis Journals, vol. 52(21), pages 2292-2308, May.
    9. Xiaoyong Xiao & Qingsong Tian & Shuxia Hou & Chongguang Li, 2019. "Economic policy uncertainty and grain futures price volatility: evidence from China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 11(4), pages 642-654, August.
    10. Erpeng Wang & Ning An & Zhifeng Gao & Emmanuel Kiprop & Xianhui Geng, 2020. "Consumer food stockpiling behavior and willingness to pay for food reserves in COVID-19," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(4), pages 739-747, August.
    11. Aftab, Muhammad & Phylaktis, Kate, 2022. "Economic integration and exchange market pressure in a policy uncertain world," Journal of International Money and Finance, Elsevier, vol. 128(C).
    12. Joëts, Marc & Mignon, Valérie & Razafindrabe, Tovonony, 2017. "Does the volatility of commodity prices reflect macroeconomic uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 313-326.
    13. Kido, Yosuke, 2018. "The transmission of US economic policy uncertainty shocks to Asian and global financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 222-231.
    14. Yuee Li & Jingdong Li, 2021. "How Does China’s Economic Policy Uncertainty Affect the Sustainability of Its Net Grain Imports?," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    15. Ranjit Kumar Paul & Tanmoy Karak, 2022. "Asymmetric Price Transmission: A Case of Wheat in India," Agriculture, MDPI, vol. 12(3), pages 1-17, March.
    16. Siaw Frimpong & Emmanuel N. Gyamfi & Zangina Ishaq & Samuel Kwaku Agyei & Daniel Agyapong & Anokye M. Adam & François Pérés, 2021. "Can Global Economic Policy Uncertainty Drive the Interdependence of Agricultural Commodity Prices? Evidence from Partial Wavelet Coherence Analysis," Complexity, Hindawi, vol. 2021, pages 1-13, June.
    17. Nancy Stokey, 2016. "Wait-and See: Investment Options under Policy Uncertainty," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 246-265, July.
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