将生产和破坏的跑步机与不成比例的碳排放联系起来

Chad L. Smith, Gregory Hooks, Michael Lengefeld
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摘要

我们以案例为导向,对气候变化的驱动因素进行分析,突出了气候行动的障碍和途径。我们采用定性比较分析法(QCA),特别是模糊集定性比较分析法(fsQCA),追踪气候变化驱动因素的组合方式,帮助我们更好地理解气候变化,并特别强调民族国家对这一问题所做的不成比例的贡献。世界银行的数据被用于分析 179 个国家,使我们能够探索人口、人均国内生产总值("生产的阶梯")和军费开支占国内生产总值的百分比("破坏的阶梯")如何为理解与联合国可持续发展目标(尤其是可持续发展目标 10 和 13)相关的两种气候变化结果提供不同的方法。我们的分析产生了新的见解,揭示了两种不同的方法,从而表明对机制的关注为理解社会进程及其与碳排放的联系提供了新的方法。
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Linking the treadmills of production and destruction to disproportionate carbon emissions
Our case-oriented analysis of the drivers of climate change highlights the barriers and pathways to climate action. We employ Qualitative Comparative Analysis (QCA), specifically fuzzy set Qualitative Comparative Analysis (fsQCA), to trace the ways in which combinations of climate change drivers helps us develop a better understanding of climate change, with a special emphasis on nation-states making a disproportionate contribution to this problem. World Bank data is used to analyze 179 countries allowing us to explore how population, gross domestic product per capita (Treadmill of Production), and military spending as a percentage of GDP (Treadmill of Destruction) provide different recipes for understanding two climate change outcomes as they relate to UN Sustainable Development Goals (particularly SDGs 10 and 13). Our analysis yields new insights, illuminating two distinct recipes, thereby indicating that a focus on mechanisms provides new ways of understanding social processes and their connection to carbon emissions.
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