中国不同种族家庭的碳足迹与气候减缓政策的公平影响：机器学习方法

IF 3.2 2区社会学 Q1 GEOGRAPHY

Annals of the American Association of Geographers Pub Date : 2024-03-27 DOI:10.1080/24694452.2024.2313496

Anthony Howell

引用次数: 0

摘要

本文首次也是唯一一次利用具有代表性的调查数据来估算中国少数民族人口的家庭碳足迹（CFs）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Spatioethnic Household Carbon Footprints in China and the Equity Implications of Climate Mitigation Policy: A Machine Learning Approach

This article relies on the first and only representative survey data to estimate household carbon footprints (CFs) of China’s large yet vastly understudied ethnic minority population, documenting f...

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来源期刊

Annals of the American Association of Geographers GEOGRAPHY-

CiteScore

8.40

自引率

7.70%

发文量

124

期刊介绍： The Annals of the American Association of Geographers was first published in 1911. It is recognized as the Association''s premier journal for major research articles for all fields of geography. To be accepted, a paper must adhere to a high standard of scholarship and make an important contribution to geographic knowledge. It should also be grounded in the relevant literature of the specialization it represents and, where appropriate, establish relationships to themes within the broader discipline. Contents may include invited essays, review articles, Presidential Addresses, and memorials.