Logistics demands for agricultural products: a forecast model based on gray prediction theory

摘要

The key features of the gray prediction model are that it requires less data and is more accurate for mid-short-term forecast. In this paper, we applied the gray prediction model to predict the logistics demands for agricultural products from Shandong province, China. Our results show that logistics demands for agricultural products in Shandong are constantly growing, and, scientifically predicting for logistics demands for agricultural sector is definitely beneficial for formulating logistics planning for both mid-short-term and longer-term logistic development strategy.