Tebecis Talis, Crespo Cuaresma Jesus
Department of Economics, Vienna University of Economics and Business (WU), Vienna, Austria.
International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.
Sci Data. 2025 Jan 10;12(1):42. doi: 10.1038/s41597-024-04321-w.
The quantitative assessment of policies aimed at climate change mitigation requires rigorously identifying abnormal changes in greenhouse gas emissions. We present a new dataset of robust level changes in greenhouse gas emissions that cannot be explained by aggregate socioeconomic fluctuations. Modern methods of structural break identification based on two-way fixed effects models are employed to estimate the size of significant level changes in emissions. The resulting dataset spans information for all major greenhouse gases in OECD countries across 37 IPCC sectors, from 1995 to 2022. The data unveils large differences in abnormal changes in emissions across gases, countries and sectors, as well as over time. Our resulting data can be applied to a broad range of research questions, including the analysis of the comparative efficacy of policy instruments to mitigate climate change.
对旨在减缓气候变化的政策进行定量评估，需要严格识别温室气体排放的异常变化。我们提供了一个新的数据集，该数据集记录了温室气体排放的稳健水平变化，这些变化无法用总体社会经济波动来解释。我们采用基于双向固定效应模型的现代结构突变识别方法，来估计排放量显著水平变化的幅度。所得数据集涵盖了1995年至2022年经合组织国家37个IPCC部门中所有主要温室气体的信息。数据揭示了不同气体、国家、部门以及不同时期排放异常变化的巨大差异。我们所得的数据可应用于广泛的研究问题，包括对减缓气候变化政策工具的比较效果分析。
