How Robust Are Social Structural Predictors of Carbon Dioxide Emissions? A Multiverse Analysis

被引:2
|
作者
Theis, Nicholas [1 ]
York, Richard [1 ,2 ]
机构
[1] Univ Oregon, Dept Sociol, Eugene, OR 97403 USA
[2] Univ Oregon, Environm Studies Program, Eugene, OR 97403 USA
来源
ENVIRONMENTAL SOCIOLOGY | 2023年 / 9卷 / 01期
关键词
Carbon dioxide emissions; Cross-national analysis; Multiverse analysis; ECOLOGICALLY UNEQUAL EXCHANGE; COMPARATIVE PERSPECTIVE; ENERGY-CONSUMPTION; ECONOMIC-GROWTH; WORLD SOCIETY; PANEL; ENVIRONMENT; TREADMILL; MILITARIZATION; CONSEQUENCES;
D O I
10.1080/23251042.2022.2116361
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Due to the many plausible decisions researchers can make during the scientific process, varying results can be obtained to research questions. In the environmental sociological literature, key theories and findings highlight how modernization, militarization, demographic factors, and globalization and trade influence carbon dioxide emissions. We use multiverse analysis to address how robust central findings in this literature are to model specification choices. Our results indicate that findings related to modernization and demographic factors are mostly robust, while those concerning militarization and globalization are more subject to model selection.
引用
收藏
页码:80 / 92
页数:13
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