Resources Science ›› 2018, Vol. 40 ›› Issue (11): 2270-2279.doi: 10.18402/resci.2018.11.13

• Orginal Article • Previous Articles     Next Articles

Spatial dependence of family farms’ adoption behaviors of organic agriculture

Xiaonan WANG1(), Jing ZHU2,3(), Huimin BO1   

  1. 1. College of Economics and Management, Nanjing Agricultural University, Nanjing 210095, China
    2. Jiangsu Province Center for Food Security Studies, Nanjing Agricultural University, Nanjing 210095, China
    3. Jiangsu Collaborative Innovation Center of Modern Grain Circulation and Safety, Nanjing 210095, China
  • Received:2018-04-18 Revised:2018-07-29 Online:2018-11-20 Published:2018-11-12

Abstract:

Based on the field research data of 366 family farms in Huang-Huai-Hai Plain, this paper used the method of global Moran’s I, developed a Bayesian spatial Durbin Probit model and set the appropriate spatial weight matrix, then selected the optimal model to estimate parameters. Direct effects and spatial spillover effects of characteristic variables on family farms’ adoption behavior of organic agriculture were determined by using partial differential method. The results show that organic agricultural adoption behaviors of the neighboring family farms have a spatial correlation. When family farms are within a 2.0 km distance, their organic agricultural adoption behaviors have the most spatial dependence. The educational level, risk preference degree, number of laborers, fund status, environmental awareness, cognition degree on organic agriculture, participation in training, access to information from the media, market information acquisition degree and know the farmers who have adopted organic agriculture have positive influences on organic agricultural adoption behaviors of family farms. However, gender and age have negative influences on organic agricultural adoption behaviors of family farms. In addition, the organic agricultural adoption behaviors of family farms is mainly influenced by direct effects of their characteristic variables. However, the spatial spillover effects of neighboring family farms’ characteristic variables can not be ignored, especially their participation in training, number of laborers and fund status. This conclusion not only provides theoretical support for the effectiveness of demonstration and extension of organic agriculture, but also provides a reference for choosing what kind of family farm to be the model family farm.

Key words: family farms, organic agriculture, spatial spillover effect, Bayesian spatial Durbin Probit model