論文信息

論文題目：More habitual deviation alleviates the trade-offs between dietary health, environmental impacts, and economic cost

作者（*通訊）：Ling Zhang, Xinzhu Zheng, Wenling Liu*, Li Ma

作者單位：中國石油大學（北京）經濟管理學院、北京理工大學經濟學院

摘要原文:?Dietary transition provides a promising demand-side strategy for sustainable development, although challenges lie in balancing the trade-offs between human health, environmental sustainability and economic affordability. Our study revisits the trade-offs through the perspective of population heterogeneity. Specifically, transitioning the Chinese diet from its 2011 baseline to a healthier alternative with minimal behavioral adjustments could intensify environmental and economic impacts by 1.3–2.3 times. Conversely, relaxing behavioral constraints can yield both environmental and economic benefits. Specifically, replacing red meats (beef, mutton, pork) with poultry and seafood helps reduce cost, while substituting both red meats and seafood with more poultry, fruits, and vegetables enhances environmental benefits. However, this adaptive approach is not universally applicable. Stringent constraints aimed at mitigating environmental or economic impacts may inadvertently marginalize specific groups, such as the rural, elderly, or low-income populations, denying them the advantages of healthier dietary options. These findings highlight the necessity of developing inclusive strategies that support the healthy dietary shift of vulnerable groups.

摘要翻譯：膳食轉型被視為可持續發展的重要需求側策略，但如何兼顧人體健康、環境可持續性與經濟可負擔性仍面臨挑戰。本研究從群體異質性的視角重新審視這些權衡。結果表明：若僅在最小行為調整的條件下將中國居民2011年的基準膳食轉向更健康的替代方案，環境與經濟影響可能分別增加 1.3–2.3 倍。相反，放寬行為約束即可同時帶來環境與經濟雙重收益：將紅肉（牛肉、羊肉、豬肉）替換為禽肉和水產可降低成本；進一步用更多禽肉、果蔬取代紅肉和水產則可顯著提升環境效益。然而，這種自適應路徑并非對所有人群都適用。若為降低環境或經濟影響而施加嚴格限制，可能無意間將農村、老年或低收入群體邊緣化，使其難以享受到更健康膳食的益處。研究強調：有必要制定包容性策略，支持弱勢群體實現健康膳食轉型。

關鍵詞：經濟成本；環境影響；習慣偏離；健康膳食；群體異質性；權衡

原文鏈接：https://doi.org/10.1111/jiec.13617

點擊文末“閱讀原文”

引用：

Zhang, L., Zheng, X., Liu, W., & Ma, L. (2025). More habitual deviation alleviates the trade-offs between dietary health, environmental impacts, and economic cost. Journal of Industrial Ecology, 29(2), 503–517. https://doi.org/10.1111/jiec.13617

初稿：ChatGPT

排版：揣子杰（西安交通大學）

審核：李霄（西安交通大學）

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