Mechanism test results.
收藏NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Mechanism_test_results_/28642118
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资源简介:
This work employs a fixed-effects model to analyze the influence of urban low-carbon transition on residents’ health consumption, utilizing data from the China General Social Survey (CGSS) for the years 2018 and 2021. The model estimation value is 0.1349, significant at the 5% confidence range, demonstrating that urban low-carbon transition enhances residents’ health consumption. This result successfully underwent both the robustness test and the endogeneity test. The mechanism test reveals that urban low-carbon transition influences residents’ health consumption through two pathways: increasing health awareness and improving the level of habitat environment. The heterogeneity studies indicate that the impact of the urban low-carbon transition on residents’ health consumption varies according to income levels, gender, and urban development stages. Higher-income people, female residents, and those in locations with advanced urban development significantly contribute to this influence. The study ultimately presents pertinent policy proposals aimed at enhancing the urban low-carbon transition, increasing the residents’ understanding of health consumption, improving the level of habitat environment, and paying attention to coordinated and healthy development.
本研究采用固定效应模型(fixed-effects model),以2018年与2021年中国综合社会调查(China General Social Survey,CGSS)数据为基础,分析城市低碳转型对居民健康消费的影响。模型估计值为0.1349,在5%置信水平下显著,表明城市低碳转型能够提升居民健康消费水平。该结果同时通过了稳健性检验与内生性检验。机制检验结果显示,城市低碳转型主要通过两条路径作用于居民健康消费:一是提升居民健康认知水平,二是优化人居环境质量。异质性分析表明,城市低碳转型对居民健康消费的影响因收入水平、性别以及城市发展阶段的不同而存在差异,其中高收入群体、女性居民以及城市发展水平较高地区的居民,其健康消费受城市低碳转型的影响更为显著。本研究最后提出了针对性政策建议,旨在进一步推进城市低碳转型、提升居民健康消费认知、优化人居环境质量,并关注区域协调与健康发展。
创建时间:
2025-03-21



