Resources Science ›› 2018, Vol. 40 ›› Issue (1): 53-63.doi: 10.18402/resci.2018.01.06

• Orginal Article • Previous Articles     Next Articles

Consistency of farmers' cognition and behavior in the adjustment of land ownership under farmland consolidation

Mei WANG(), Wenxiong WANG()   

  1. School of Public Administration, Huazhong Agricultural University, Wuhan 430070, China
  • Received:2017-06-16 Revised:2017-10-10 Online:2018-01-20 Published:2018-01-20

Abstract:

The consistency relationship between the cognition and behavior of farmers to the adjustment of land ownership is not only an important part of the theory of farmland ownership adjustment, but also an important reference for policy formulation for land ownership. In order to explore consistency of farmer cognition and behavior in the adjustment of farmland regulation, we examined consistency using correlation analysis, and analyzed difference in the partial effect of the influence of factors about individual and family characteristics, cultivated land resources and village characteristics to farmer cognition and behavior under the Theory of Planned Behavior. We used questionnaire data from 644 households in seven cities (counties) in Hubei. Results show that the cognitive status of farmers was unbalanced within the cognitive mechanism, and that behavioral motivation was lacking. From the perspective of consistency, correlation analysis and modeling showed that consistency Between Subjective Norms and behavior was high, while Attitude Toward The behavior and Perceived behavior Control basically had no consistency with behavior. On the basis of the results of this study, we propose strengthening information publicity and consultation, paying attention to propaganda and mobilization, and giving full play to the role of rural social and economic organizations to promote the smooth implementation of farmland ownership adjustment.

Key words: land ownership adjustment, farmers' cognition and behavior, theory of planned behavior, correlation test, Logistic Regression