Xia Ziqian, Ye Jinquan, Debnath Ramit, Dong Xu, Xie Jinliang, Xu Ming, Tian Xi, Marlon Jennifer, Zhang Chao, Yang Jianxun, Constantino Sara, Liu Miaomiao
School of Economics and Management, Tongji University, Shanghai, China.
Doerr School of Sustainability, Stanford University, Stanford, CA USA.
NPJ Clim Action. 2025;4(1):78. doi: 10.1038/s44168-025-00272-z. Epub 2025 Aug 20.
This study presents a high-resolution mapping of climate change perceptions across China, highlighting the evolution of public perception regarding the priority and impact of climate change over a 13-year period between 2010 and 2023. Utilizing data from two national surveys conducted ( = 11783 and = 4050), we show a considerable rise in the perceived priority (19%) and impact (13%) of climate change issues nationally, alongside growing regional disparities. We do robustness checks of our results using repeated simulations between multilevel regression and poststratification and disaggregation methods. By examining perceived impacts against actual risk exposure, we show the need for managing regional vulnerabilities and tailored and targeted communication strategies to mitigate the spatial mismatch between climate change perception and risk exposure.
本研究展示了中国气候变化认知的高分辨率图谱,突出了2010年至2023年这13年间公众对气候变化的优先性和影响的认知演变。利用两次全国性调查的数据(样本量分别为11783和4050),我们发现全国范围内气候变化问题的感知优先性(上升了19%)和影响(上升了13%)有显著提高,同时地区差距也在扩大。我们使用多层回归与事后分层和分解方法之间的重复模拟对结果进行了稳健性检验。通过将感知影响与实际风险暴露进行对比,我们表明需要管理区域脆弱性,并制定有针对性的沟通策略,以缓解气候变化认知与风险暴露之间的空间不匹配问题。