了解发展中国家与交通相关的二氧化碳排放与经济增长脱钩的挑战

Vivien Foster , Jennifer Uju Dim , Sebastian Vollmer , Fan Zhang
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摘要

向净零排放过渡需要运输部门全面脱碳,而运输部门目前是全球主要的排放源之一。与交通相关的碳排放在发展中国家增长最快。因此,了解低收入和中等收入国家在将交通部门排放与经济增长脱钩方面是否正在取得进展,以及它们目前的排放轨迹在多大程度上受到结构性因素的影响,而不是更有利的政策选择,就显得尤为重要。本文收集并分析了一个全面的交通相关排放数据集,其独特的广泛覆盖了发展中国家。本文采用了1990年至2018年期间的Tapio脱钩模型,证明高收入国家实现相对脱钩的可能性几乎是低收入和中等收入国家的两倍(70%对36%),而后者处于负脱钩状态的可能性几乎是前者的两倍(17%对41%)。本文通过指数分解和计量分析来揭示交通相关碳排放的驱动因素。指数分解表明,自1990年以来,国内生产总值的交通排放强度只出现了相对温和的减少,而且这些减少还不足以抵消中等收入国家的经济增长和低收入国家的人口增长。进一步的回归分析表明,城市化和工业化是交通相关排放的重要相关因素,而政策选择与减排的相关性较弱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding the challenge of decoupling transport-related CO2 emissions from economic growth in developing countries

The transition to net zero requires full decarbonization of the transport sector, currently one of the leading sources of emissions globally. Transport-related carbon emissions are growing fastest in the developing world. This makes it particularly critical to understand whether low- and middle-income countries are making progress towards decoupling transport sector emissions from economic growth, as well as the extent to which their current emissions trajectory is being shaped by structural factors versus more amenable policy choices. This paper assembles and analyzes a comprehensive dataset on transport-related emissions with a uniquely broad coverage of developing countries. The paper employs the Tapio decoupling model over the period 1990–2018 to demonstrate that high-income countries are almost twice as likely to have reached relative decoupling as low and middle-income countries (70 vs 36 percent, while the latter are almost twice as likely to be in a state of negative decoupling as the former (17 versus 41 percent). This paper conducts index-decomposition and econometric analysis to shed light on the factors driving transport-related carbon emissions. Index decomposition reveals that there have been only relatively modest reductions in the transport emissions intensity of GDP since 1990 and that these have not been large enough to offset economic growth in middle-income countries and demographic growth in low-income countries. Regression analysis further shows that urbanization and industrialization are important correlates of transport-related emissions, while the correlation of policy choices with reduced emissions is rather weak.

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