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Grain Yield Prediction of Henan Province Based on Spatio-temporal Regression Model

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  • Liu, Qin-pu

Abstract

By using correlation analysis method, regression analysis method and time sequence method, we combine time and space, to establish grain geld spatio-temporal regression prediction model of Henan Province and ail prefecture-level cities. At first, we use the grain geld in prefecture-level cities of Henan in the year 2000 and 2005, to establish regression model, and then taking the grain yield in one year as independent variable, we predict the grain yield in the fifth year afterwards. Taking the dependent variable value as independent variable again, we predict the grain geld at an interval of the same years, and based on this, predict year by year forward until the year we need. The research shows that the grain yield of Henan Province in the year 2015 and 2020 is 59.849 6 and 67.929 3 million t, respectively, consistent with the research results of other scholars to some extent.

Suggested Citation

  • Liu, Qin-pu, 2011. "Grain Yield Prediction of Henan Province Based on Spatio-temporal Regression Model," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 3(08), pages 1-4, August.
    • Handle: RePEc:ags:asagre:121285
    DOI: 10.22004/ag.econ.121285
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    Keywords

    Agribusiness;

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