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The butterfly effect in the price of agricultural products: A multidimensional spatial-temporal association mining

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  • Yan Guo

    (College of Information and Engineering, Sichuan Agricultural University, Yaan, China
    The Lab of Agricultural Information Engineering, Sichuan Key Laboratory, Yaan, China)

  • Xiaonan Hu

    (College of Information and Engineering, Sichuan Agricultural University, Yaan, China
    The Lab of Agricultural Information Engineering, Sichuan Key Laboratory, Yaan, China)

  • Zepeng Wang

    (College of Information and Engineering, Sichuan Agricultural University, Yaan, China)

  • Wei Tang

    (College of Information and Engineering, Sichuan Agricultural University, Yaan, China)

  • Deyu Liu

    (College of Information and Engineering, Sichuan Agricultural University, Yaan, China)

  • Yunzhong Luo

    (College of Information and Engineering, Sichuan Agricultural University, Yaan, China)

  • Hongxiang Xu

    (College of Information and Engineering, Sichuan Agricultural University, Yaan, China)

Abstract

With the advent of the era of big data, data mining methods show their powerful information mining ability in various fields, seeking the association information hidden in the data, which is convenient for people to make scientific decisions. This paper analyses the butterfly effect in the agricultural product industry chain from the perspective of producer and consumer by using multidimensional time and space theory and proposes a new price forecasting method. We consider that the price change of agricultural products is not only affected by the balance of market supply and demand but also by the factors of time and space. Taking the pig industry chain of Sichuan Province as an example, this paper explores and excavates the data from 2010 to 2020 in the time dimension. Interestingly, we found that the price changes in pork in the market are generally highly correlated with the prices of slaughtered pigs, piglets a few weeks ago and the prices of multiple feed a few months ago. Based on the precise time-space factors, we improved the price forecasting model, greatly improved the accuracy of price prediction, and proved the effectiveness of multidimensional spatiotemporal association mining. The research in this paper is helpful to establish a brand-new agricultural product price prediction theory, which is of great significance to the development of the agricultural economy and global poverty alleviation.

Suggested Citation

  • Yan Guo & Xiaonan Hu & Zepeng Wang & Wei Tang & Deyu Liu & Yunzhong Luo & Hongxiang Xu, 2021. "The butterfly effect in the price of agricultural products: A multidimensional spatial-temporal association mining," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(11), pages 457-467.
    • Handle: RePEc:caa:jnlage:v:67:y:2021:i:11:id:128-2021-agricecon
    DOI: 10.17221/128/2021-AGRICECON
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    References listed on IDEAS

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