Predicting pro-environmental agricultural practices: The social, psychological and contextual influences on land management
Predicting pro-environmental agricultural practices: The social, psychological and contextual influences on land management
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DOI：
10.1016/j.jrurstud.2013.10.001
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发表时间：
2014-04
影响因子：
5.1
通讯作者：
J. Price;Z. Leviston
中科院分区：
文献类型：
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作者：
J. Price;Z. Leviston
已经制定了有利于环境的农业方法，但采用这些方法不足以缓解环境退化。缺乏合适的理论框架限制了对农民环境行为的研究，在农业采用文献中很少有社会科学的整合。本文详细介绍了一个预测模型的亲环境的农业实践，借鉴心理框架：价值信念规范和计划行为理论。对澳大利亚新南威尔士州中部的旱地农民（n= 422）进行了调查，了解当地自然资源管理当局认为对环境有积极影响的行为。一个严格的措施，复杂的土地管理实践的发展关系到原生植被，杂草，土壤，股票，和多年生植物。该模型能够预测复杂行为中52%的方差。背景因素，价值观，态度和规范被确定为重要的预测因素。结果表明，技能和能力，环境约束，生物圈价值观，以及能够控制自己命运的意识是亲环境实践的重要前兆。NRM的政策背景和政策含义进行了讨论。整体战略和社会学习过程被确定为有益于农民的福祉和环境成果。
Pro-environmental agricultural approaches have been developed, but their uptake has not been sufficient to mitigate environmental degradation. A lack of suitable theoretical frameworks limits research on farmers' environmental behaviours, and there has been little integration of social sciences in the agricultural adoption literature. This paper details a predictive model of pro-environmental agricultural practices, drawing on psychological frameworks: Value-Belief-Norms and Theory of Planned Behaviour. Dry-land farmers in Central New South Wales, Australia (n= 422), were surveyed about behaviours deemed to have positive impacts on the environment by local natural resource management authorities. A rigorous measure of complex land management practice is developed in relation to native vegetation, weeds, soil, stock, and perennials. The model was able to predict 52% of the variance in complex behaviour. Contextual factors, values, attitudes, and norms are identified as important predictors. Results suggest skills and abilities, environmental constraints, biospheric values, and a sense of being able to control one's destiny are significant precursors to pro-environmental practices. The NRM policy context and policy implications are discussed. Holistic strategies and social learning processes are identified as beneficial for farmer well-being and environmental outcomes.