Abstract: Based on PSR model, this study build a comprehensive evaluation indicator system of agricultural environment, during which the entropy method and the optimal osculating value method were used to define the weight of each indicator and to evaluation the agricultural environmental among these areas. The results showed that the major grain producing areas in China have the biggest differences in straw utilization ratio and agricultural machinery training input; under the framework of PSR, the gap in response system was greater than that in state system and pressure system. From 2011 to 2016, the Northeast Plain ranked the highest in terms of agricultural environment, the North China Plain ranked the middle, and the Yangtze River Plain ranked the lowest.

Key words: PSR model, entropy method, optimal osculating value method, agricultural environment