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Drivers of the change in carbon dioxide emissions under the progress of urbanization in 30 provinces in China: A decomposition analysis

机译:中国30个省份城市化进程下二氧化碳排放变化的驱动因素:分解分析

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China's extensive and growing carbon dioxide (CO2) emissions are linked to rapid economic development and advancing urbanization, posing serious concerns in the context of climate change. Decomposition analysis has been widely performed to identify the drivers of China's CO2 emissions. However, to date, no researchers have examined the drivers of the change in CO2 emissions under the progress of urbanization across all of its provinces. Using provincial statistical data and six key factors influencing CO2 emissions (carbon intensity, energy intensity, resident consumption, consumption inhibition, population urbanization, and population size), we applied the logarithmic mean Divisia index decomposition method to examine how urbanization affect CO2 emission changes across 30 provinces during 1990-2016. We elucidated that while urbanization's effects on CO2 emissions increased in China as a whole during this period, they were regionally differentiated. The energy intensity effect was the main driver of reduced CO2 emissions, with carbon intensity exerting weaker effects in the 30 provinces, differentiated by their energy structures. The resident consumption effect, strongly linked to advancing urbanization, was the primary driver of increased CO2 emissions in all the provinces. While the consumption inhibition and population urbanization effects were positive at the national level, they were negative in highly urbanized provinces and in highly industrial provinces. These findings highlight the need to promote environmentally friendly consumption and to design regionally differentiated policies and optimized energy structures tailored to particular urbanization contexts. Moreover, they can provide valuable inputs for other developing countries undergoing continuous urbanization, contributing to efforts to balance economic development and environmental sustainability.
机译:中国丰富的,发展二氧化碳(CO2)排放与经济快速发展和城市化的推进,冒充在气候变化背景下的严重关切。分解分析已被广泛执行,以确定中国的二氧化碳排放量的驱动程序。然而,迄今为止,没有任何研究人员已经研究城市化在其所有省份的进步下,二氧化碳排放量变化的驱动因素。使用省级统计数据和影响的二氧化碳排放量的六个关键因素(碳强度,能量强度,驻留消耗,消耗的抑制,人口的城市化和人口的大小),我们应用对数平均Divisia指数分解法来检查城市化如何影响跨越CO2排放的变化在1990至2016年全国30个省。我们阐明,虽然城市化的二氧化碳排放量的影响,在此期间增加了中国作为一个整体,他们在区域差别化。能量强度效果减少二氧化碳排放的主要驱动力,碳强度施加在30个省较弱影响,可以通过能量结构区分。居民消费的影响,密切相关的城市化推进,在所有的省份增加了二氧化碳排放量的主要驱动力。而消费的抑制和人口城市化的影响是在国家层面积极,他们在高度城市化的省份,并在高度工业化的省份负。这些研究结果强调有必要推广环保消费和设计区域差别化政策,针对特定的城市化背景下优化能源结构。此外,他们可以为其他发展中国家接受持续的城市化提供有价值的投入,促进努力平衡经济发展和环境的可持续性。

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