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The Fluctuation Characteristics and Periodic Patterns of Potato Prices in China

Author

Listed:
  • Hongwei Lu

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Tingting Li

    (Institute of Agricultural Economy and Development, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Jianfei Lv

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Aoxue Wang

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Qiyou Luo

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Mingjie Gao

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Guojing Li

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

The aim of this paper was to provide a more scientific and effective analysis of the fluctuation pattern of the Chinese potato market by extracting the characteristics of the price fluctuation cycle to effectively grasp the characteristics of price changes in the potato market, thus promoting the stable and healthy development of the Chinese potato industry, and to expand the application scenarios of the EEMD model to provide a reference for the study of price fluctuation patterns in other agricultural markets. This study used an ensemble empirical modal decomposition (EEMD) model to examine time-series data on Chinese wholesale potato market prices from January 2005 to December 2021. The results showed that (1) Chinese wholesale potato market prices are characterized by some rigidity, with sharp changes in growth rates; (2) Chinese wholesale potato market prices are dominated by short- and medium-term fluctuations, and the decomposed components can better reflect the characteristics of the original series fluctuations; (3) Chinese wholesale potato market monthly prices have long- and short-term fluctuations with a 6- and 19-month cycle, and are dominated by short-term high-frequency fluctuations; (4) monthly price fluctuations in the Chinese wholesale potato market are more intense in high-frequency than low-frequency fluctuations, and there is a strong correlation between high- and low-frequency fluctuations in precipitation, temperature and potato prices. Finally, suggestions were made for creating and improving a national potato price information platform and strengthening the information early warning mechanism; improving the potato production interest linkage mechanism and enhancing potato farmers’ ability to cope with market and natural risks; and improving the potato reserve system and potato storage facilities.

Suggested Citation

  • Hongwei Lu & Tingting Li & Jianfei Lv & Aoxue Wang & Qiyou Luo & Mingjie Gao & Guojing Li, 2023. "The Fluctuation Characteristics and Periodic Patterns of Potato Prices in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7755-:d:1142523
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    References listed on IDEAS

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    1. Zhang, Xun & Lai, K.K. & Wang, Shou-Yang, 2008. "A new approach for crude oil price analysis based on Empirical Mode Decomposition," Energy Economics, Elsevier, vol. 30(3), pages 905-918, May.
    2. Headey, Derek, 2011. "Rethinking the global food crisis: The role of trade shocks," Food Policy, Elsevier, vol. 36(2), pages 136-146, April.
    3. Xingchen Lv & Jun Meng & Qiufeng Wu, 2022. "Dynamic Influence of Network Public Opinions on Price Fluctuation of Small Agricultural Products Based on NLP-TVP-VAR Model—Taking Garlic as an Example," Sustainability, MDPI, vol. 14(14), pages 1-21, July.
    4. María Bielza & Alberto Garrido & José M. Sumpsi, 2007. "Finding optimal price risk management instruments: the case of the Spanish potato sector," Agricultural Economics, International Association of Agricultural Economists, vol. 36(1), pages 67-78, January.
    5. Teresa Serra & José M. Gil, 2013. "Price volatility in food markets: can stock building mitigate price fluctuations?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 40(3), pages 507-528, July.
    6. David A. Hennessy, 1998. "The Production Effects of Agricultural Income Support Policies under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 46-57.
    7. Grabowski, Richard & Self, Sharmistha, 2016. "Staple food price instability and structural change: Indonesian experience," Journal of Asian Economics, Elsevier, vol. 47(C), pages 35-44.
    8. Ceballos, Francisco & Hernandez, Manuel A. & Minot, Nicholas & Robles, Miguel, 2017. "Grain Price and Volatility Transmission from International to Domestic Markets in Developing Countries," World Development, Elsevier, vol. 94(C), pages 305-320.
    9. Mao, Xuegeng & Yang, Albert C. & Peng, Chung-Kang & Shang, Pengjian, 2020. "Analysis of economic growth fluctuations based on EEMD and causal decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
    10. Marc F. Bellemare, 2015. "Rising Food Prices, Food Price Volatility, and Social Unrest," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 1-21.
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