资源科学 ›› 2018, Vol. 40 ›› Issue (11): 2270-2279.doi: 10.18402/resci.2018.11.13

• 资源经济 • 上一篇    下一篇

家庭农场有机农业采纳行为的空间依赖性

王小楠1(), 朱晶2,3(), 薄慧敏1   

  1. 1. 南京农业大学经济管理学院,南京 210095
    2. 南京农业大学江苏省粮食安全研究中心,南京 210095
    3. 江苏现代粮食流通与安全协同创新中心,南京 210095
  • 收稿日期:2018-04-18 修回日期:2018-07-29 出版日期:2018-11-20 发布日期:2018-11-12
  • 作者简介:

    作者简介:王小楠,女,山东莱州人,博士生,研究方向为农业经济管理。E-mail: wangxiaonan907@163.com

  • 基金资助:
    国家自然科学基金项目(71673142)

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

摘要:

本文基于黄淮海平原366户家庭农场的实地调研数据,运用全局Moran’s I,构建贝叶斯空间杜宾Probit模型,设定合适的空间权重矩阵,从中选择最优模型进行参数估计,并借助偏微分方法,分解特征变量对家庭农场有机农业采纳行为的直接效应和空间溢出效应。研究结果表明:①邻近家庭农场有机农业采纳行为存在空间相关性;②家庭农场相距2.0km以内,其有机农业采纳行为的空间依赖性最强;③受教育程度、风险偏好程度、劳动力数量、资金状况、环保意识、对有机农业的认知程度、参加培训、从媒体获取信息程度、市场信息获取程度以及认识已采纳有机农业的农场主均显著正向影响家庭农场有机农业采纳行为,而农场主的性别、年龄显著负向影响家庭农场有机农业采纳行为;④家庭农场有机农业采纳行为主要是各特征变量直接效应的结果,但邻近家庭农场特征变量的空间溢出效应也不容忽视,尤其是邻近家庭农场是否参与培训、劳动力数量和资金状况。这一研究结论不仅为示范推广有机农业的有效性提供了理论支撑,也为选择什么样的家庭农场作为示范户提供了参考依据。

关键词: 家庭农场, 有机农业, 空间溢出效应, 贝叶斯空间杜宾Probit模型

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