The regional disparity of per-capita CO2 emissions in China’s building sector: An analysis of macroeconomic drivers and policy implications
The regional disparity of per-capita CO2 emissions in China’s building sector: An analysis of macroeconomic drivers and policy implications
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DOI：
10.1016/j.enbuild.2021.111011
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发表时间：
2021-04
影响因子：
6.7
通讯作者：
Huimin Li;Ping Qiu;Tong Wu
中科院分区：
文献类型：
--
作者：
Huimin Li;Ping Qiu;Tong Wu
中国建筑业CO2排放存在显著的地区差异。分析和理解这种地理不平等及其驱动因素对于平衡区域发展和减少温室气体排放至关重要。本文对中国省级建筑业的CO2排放量进行了估算，并计算了不同建筑类型的人均CO2排放量的泰尔指数。在此基础上，应用卡亚恒等式分析了中国CO2排放不平等的驱动因素。我们发现，不同类型的建筑物的不平等指数有显着差异。一般来说，公共建筑和城市建筑的泰尔指数高于农村建筑。收入、能源强度和能源组合是人均排放量区域差异的主要驱动因素。经济增长有助于缩小住宅建筑的地区差异，但对公共建筑的贡献并不显著。对于所有建筑类型，能源强度是造成排放不平等的主要因素，而能源效率政策的不平衡实施是一个主要因素。能源结构对人均CO2排放的地区差异影响越来越大，尤其是农村建筑。缩小这些地区差异对于中国实现温室气体排放峰值和碳中和的目标至关重要。本文着重阐述了人均CO2排放量在制定碳达峰规划、分配区域减排目标、制定建筑能源政策和分配低碳资源等方面的重要性。
There are significant regional differences in CO2emissions in China’s building sector. Analyzing and understanding this geographic inequality and its drivers is crucial for balanced regional development and greenhouse gas (GHG) emissions reduction. In this paper, we estimated the CO2emissions of China’s building sector at the provincial level and then calculated the Theil Index of per-capita CO2emissions generated from different building types. Based on these results, a Kaya identity was applied to analyze the drivers of the inequality in CO2emissions across China. We found that the inequality index of the different types of buildings makes a significant difference. In general, the Theil Index for public buildings and urban buildings is higher than that for rural buildings. Income, energy intensity and energy mix are the principal drivers of regional disparity of per-capita emissions. Economic growth helps to narrow regional disparities for residential buildings, but its contribution is not significant for public buildings. For all building types, energy intensity is the primary contributor to emissions inequality, and the imbalanced implementation of energy efficiency policies is a leading factor. Energy mix plays an increasing role in the regional disparities of per-capita CO2emissions, especially for rural buildings. Reducing these regional disparities is crucial to China’s goal of achieving peak GHG emissions and reaching carbon neutrality. This paper highlights the importance of per-capita CO2emissions in formulating carbon peak planning, allocating regional emissions reduction targets, formulating building energy policies and allocating low-carbon resources.