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“个体—环境—行为”三元交互理论下大熊猫国家公园居民亲环境行为研究

Individual-Environment-Behavior: A Study on the Pro-Environmental Behavior of Residents in the Giant Panda National Park in Triadic Interaction Causation

  • 摘要: 本文基于Bandura提出的“个体—环境—行为”三元交互理论,运用扎根理论方法,分析了大熊猫国家公园社区居民亲环境行为的生成机制。研究表明,外部环境要素(邻里示范、经济收益、社会规范、政民互动效能及生态质量)通过影响个体心理认知,显著塑造其主观规范、地方依恋与收益感知。个体在情感联结、理性权衡与价值判断的综合作用下,形成并实践具体的亲环境行为。与此同时,亲环境行为本身又反过来优化环境质量与社会氛围,增强旅游吸引力与社区共治水平,构建出“环境—认知—行为—环境再塑”的正向反馈循环。研究揭示了国家公园社区中亲环境行为的三维互动逻辑,拓展了对复杂社会与生态系统中行为演化机制的理解,为国家公园治理模式与居民亲环境行为激励机制提供了理论支撑与实践启示。

     

    Abstract: To explore effective guidance for community residents' pro-environmental behaviors (PEB) in national parks, this study employs Bandura's Triadic Reciprocal Causation (individual-environment-behavior) as the theoretical framework and adopts the grounded theory method. Drawing on in-depth interviews with 70 residents from three typical communities in the Sichuan section of the Giant Panda National Park, it systematically analyzes the generation mechanism of residents' PEB. Results show that external environmental factors—neighborhood modeling, economic benefits, social norms, government-citizen interaction effectiveness, and ecological quality—significantly shape individuals' subjective norms, place attachment, and perceived benefits by influencing their psychological perceptions. Residents form and practice specific PEB through integrating emotional bonds, rational trade-offs, and value judgments. These behaviors further optimize environmental quality and social atmosphere, enhance tourism attractiveness and community governance efficiency, thus constructing a positive feedback loop of "environment-cognition-behavior-environmental reshaping". This study reveals the three-dimensional interactive logic of PEB in national park communities, broadens understanding of behavioral evolution mechanisms in complex social-ecological systems, and provides theoretical support and practical implications for optimizing national park governance and improving residents' PEB incentive mechanisms.

     

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