Li Shuping, Cui Can, Meng Jing, Li Yuan, Shan Yuli, Zhao Weichen, Parikh Priti, Yao Jiawei, Guan Dabo
Institute of Blue and Green Development, Weihai Institute of Interdisciplinary Research, Shandong University, Weihai 264209, China.
Department of Earth System Sciences, Tsinghua University, Beijing 100080, China.
Patterns (N Y). 2023 May 30;4(7):100760. doi: 10.1016/j.patter.2023.100760. eCollection 2023 Jul 14.
Emerging economies are predicted to be future emission hotspots due to expected levels of urbanization and industrialization, and their CO emissions are receiving more scrutiny. However, the driving forces underlying dynamic change in emissions are poorly understood, despite their crucial role in developing targeted mitigating pathways. We firstly compile energy-related emissions of 30 selective emerging economies from 2010 to 2018. Then, three growth patterns of emissions in these economies have been identified through emission data, which imply different low-carbon pathways. Most emerging economies saw an increase of varying degrees in emissions, driven by economic growth and partly offset by better energy efficiency and improvements in energy mixes. Furthermore, the industrial structure was another factor that slowed emissions, especially in Latin America and the Caribbean. Our research contributes to the heterogeneous exploration of CO emissions produced by energy among sectors and the creation of low-carbon development pathways in emerging economies.
由于预计的城市化和工业化水平,新兴经济体预计将成为未来的排放热点,其碳排放正受到更多审视。然而,尽管排放动态变化背后的驱动因素在制定有针对性的减排途径中起着关键作用,但人们对其了解甚少。我们首先汇编了2010年至2018年30个有代表性的新兴经济体与能源相关的排放数据。然后,通过排放数据确定了这些经济体排放的三种增长模式,这意味着不同的低碳路径。大多数新兴经济体的排放量都有不同程度的增加,这是由经济增长推动的,部分被能源效率的提高和能源结构的改善所抵消。此外,产业结构是另一个减缓排放的因素,尤其是在拉丁美洲和加勒比地区。我们的研究有助于对各部门能源产生的碳排放进行异质性探索,并为新兴经济体创造低碳发展路径。