A study on the demand structure of vegetables by a fuzzy linear regression
1992
Kanayama, T. (Tottori Univ. (Japan). Faculty of Agriculture)
An ordinary regression model which is used to study demand structure of vegetables is assumed that its disturbances have a normal distribution. But not all models satisfy this assumption. A fuzzy linear regression model is one of the useful models when ordinary regression models don't satisfy this assumption. In this paper, the demand structure of broccoli, which has been rapidly increasing in recent years and is one of the important vegetables produced in Tottori, was analyzed by a fuzzy linear regression model (fuzzy model). In particular, a fuzzy price flexibility, which indicates price flexibility in the long run and the short run, was presented in this study. The results obtained in this study were as follows: (1) The estimated fuzzy price flexibility of broccoli indicated that price flexibility in the long run was small but that price flexibility in the short run had a wide range from 1.5 to minus quantities. (2) In comparison with ordinary regression model, estimated parameters in the fuzzy model were similar to those in the ordinary regression model. predicted prices in the fuzzy model were closer to real prices than those in the ordinary regression model
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