An empirical study on the impact of non-grain planting on land transfer decisions based on binary Logit model

Abstract

The trend of land transfer in China is parallel to the risk of food security. The "factors-countermeasures" method used in the general research is not effective for the symbionism within land transfer. Based on the Logit model, this paper empirically analyzes the impact of non-grain planting on land transfer. Research shows that: (1) In the regression analysis, the inflows and outflows, non-staple planting will be negative effects of land circulation (2) Plants grown planting intensive features suppresses the will of the individual farmers out of land, and grain planting scale features will enhance farmers into the land (3) Age, quality of labor force and total income of family also have significant influence on land transfer