Liu Yuechen, Wang Qiubing, Qian Fengkui, Feng Rende, Liu Hongbin. Comparison and analysis of gray model and regression model in basic prices appraisal of agricultural land[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(14): 344-348.
    Citation: Liu Yuechen, Wang Qiubing, Qian Fengkui, Feng Rende, Liu Hongbin. Comparison and analysis of gray model and regression model in basic prices appraisal of agricultural land[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(14): 344-348.

    Comparison and analysis of gray model and regression model in basic prices appraisal of agricultural land

    • The basic prices of agricultural land appraisal to establish a complete set of agricultural land price system and smoothly carry out land assets, such as reasonable allocation of land consolidation rural land management has the extremely vital significance. The text is a research about the basic prices appraisal of agricultural land in Lingyuan city, Liaoning province. Based on the result of the agricultural land classifying, a grey model of the predicting about the agriculture land net-income and a basic regression model was set up. Furthermore, these two models were applied into evaluating and analyzing the basic prices of the agriculture land, combining with the income returning process. Both grey model and regression model for the basic prices of the agricultural land have scientific foundation. The results showed that compared with regression model, grey model was more efficient to reduce influence of the variation of net-come in different years, which could be greatly varied among different land uses and in different geographical conditions, on the basic prices. So grey model has more advantages in the basic prices of agricultural land appraisal.
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