Temporal and spatial heterogeneity of carbon intensity in China's construction industry
Temporal and spatial heterogeneity of carbon intensity in China's construction industry
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中国建筑业碳强度时空异质性
DOI：
10.1016/j.resconrec.2017.07.043
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发表时间：
2017-11-01
影响因子：
13.2
通讯作者：
Jin, Baihui
中科院分区：
文献类型：
--
作者：
Li, Wei;Sun, Wen;Jin, Baihui
建筑业作为基础性、先导性产业，同时也是能源消耗大户，面临着节能减排的双重压力。该研究采用2005-2014年的数据，使用改进的核算框架估计了中国30个省份的该部门的碳强度。采用Moran I指数和基于核密度函数的动态演化模型来描述该行业排放格局的时空异质性。研究发现，在空间维度上，中国相邻省份存在显著的空间集聚特征，该行业年均碳强度可划分为高高（H-H）、低高（L-H）、低低（L-L）和高低（H-L）4个集聚区。从碳强度核算的角度来看，建筑材料是空间格局的主要贡献者。在时间维度上，2005- 2008年、2008 -2011年和2011-2014年三个采样周期，除内蒙古、广西和宁夏等6个省份外，24个省份的行业碳强度分解差异均在扩大。核密度函数分析结果表明，H-H集聚区是建筑业碳减排的关键区域，H-H集聚区的省份应借鉴L-L集聚区的经验。最后，基于时间和空间异质性的省域政策建议，以尽快实现中国的减排目标。
As a basic, forerunner industry, as well as a major energy consumer, the construction industry is now facing the dual pressures of energy conservation and emissions abatement. Employing 2005-2014 data, the study estimates the sector's carbon intensity in 30 provinces in China using an improved accounting framework. Moran's I index and a dynamic evolution model, based on the kernel density function, are employed to depict the temporal and spatial heterogeneity in this industry's emissions patterns. We find that significant features of spatial cluster exist in neighboring provinces of China in the space dimension, and the sector's annual average carbon intensity can be classified into four agglomeration areas, namely, high and high (H-H), low and high (L-H), low and low (L-L) and high and low (H-L). From the carbon intensity accounting perspective, building material is the main contributor to the spatial pattern. In the time dimension, for the sampling periods of 2005-2008,2008-2011, and 2011-2014, the decomposition difference of the sector's carbon intensity in 24 provinces is widening, except for 6 provinces including Inner Mongolia, Guangxi, and Ningxia. The results of the kernel density function analysis show that the critical areas to cut carbon emissions in the construction industry are the H-H agglomeration areas and the provinces in these areas should borrow ideas from those in L-L agglomeration areas for this purpose. In conclusion, province-specific policies based upon temporal and spatial heterogeneity are proposed to achieve China's emissions abatement target as soon as possible.