长江流域资源与环境 >> 2023, Vol. 32 >> Issue (12): 2661-2672.doi: 10.11870/cjlyzyyhj202312017

• 农业发展 • 上一篇    下一篇

基于IMB干预模型农户低碳稻作采纳行为研究 ——以江西省2 173份农户调查为例

黄庆龙, 陈美球*, 张馥林, 张婷, 严福华, 周丙娟


  

  1. (江西农业大学 农村土地资源利用与保护研究中心 / 江西省鄱阳湖流域农业资源与生态重点实验室, 江西 南昌 330045)
  • 出版日期:2023-12-20 发布日期:2023-12-25

Research on Low Carbon Rice Farming Behavior Based on IMB Intervention Model: A Survey of 2 173 Farmers in Jiangxi Province

HUANG Qing-long, CHEN Mei-qiu, ZHANG Fu-lin, ZHANG Ting, YAN Fu-hua, ZHOU Bing-juan   

  1. (Research Center on Rural Land Resources Use and Protection, the Key Laboratory of Poyang Lake Basin Agricultural Resources and Ecology, Jiangxi Agricultural University, Nanchang 330045, China)
  • Online:2023-12-20 Published:2023-12-25

摘要: 推行增汇减排、低碳高产的低碳稻作是实现“双碳”目标和保障国家粮食安全“双赢”的必然选择。基于江西省2 173份农户调查数据,通过引入IMB干预模型框架,使用有序Probit模型和中介效应模型等计量手段,对农户采纳低碳稻作行为的影响因素及中介路径进行实证检验。结果表明:(1)农户采纳低碳稻作行为的水平并不高,选择施用有机肥的数量最多。(2)在IMB干预模型中,信息获取难易度、技术了解程度、重要性动机、技术培训、生产交流行为、模仿趋同行为均发挥了显著的正向作用。(3)进一步的中介效应分析表明,技术信息能够通过采纳动机、行为技巧促进农户的采纳行为,行为技巧也能够受到采纳动机的影响提升农户的采纳水平。鉴于此,为促进农户采纳低碳稻作行为应加强低碳稻作技术的科普宣传,发挥技术采用的示范效应,提高低碳稻作技术的培训力度,建立低碳稻作技术的激励机制,开展相关的低碳稻作科技攻关。

Abstract: The implementation of low carbon rice farming aims to increase carbon sinks and to reduce carbon emission.Low-carbon and high-yield is an inevitable choice to achieve the goal of "double carbon" and ensure the "win-win" of national food security. Based on the survey data of 2 173 farmers in Jiangxi Province, this paper introduced the IMB intervention model framework, and used the ordered Probit model and the mediating effects model to empirically test the influencing factors and mediation paths of farmers ' adoption of low carbon rice farming behaviors. The results showed that (1) farmers did not adopt low carbon rice farming behaviors at a high level, and the largest number chose to apply organic fertilizer. (2) In the IMB intervention model, information accessibility, technology understanding, importance motivation, technology training, production communication behavior, and imitation convergence behavior played a significant positive role. (3)Mediating effects analysis showed that technology information could promote farmers' adoption behavior through adoption motivation and behavioral skills, and behavioral skills could also be influenced by adoption motivation to enhance farmers' adoption level. In view of this, in order to promote farmers' adoption of low carbon rice farming behavior, we should strengthen the popularization of low carbon rice farming technology, highlight the demonstration effects of technology adoption, improve the training of low carbon rice farming technology, establishment of an incentive mechanism for low carbon rice farming technology, and carry out relevant low carbon rice farming science and technology research.

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