Temporal and spatial heterogeneity of carbon intensity in China's construction industry

The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis

“…the output value of the building and civil engineering construction industry of each province were collected from the China Statistical Yearbooks (data from the China Statistical Yearbooks were used to study the same topic (cf. Wu, et al [9] and Li, et al [23])). We converted the GDP and the output value of construction industry into 2005 constant price (RMB Yuan).…”

“…However, some research found that space factors had important impacts on natural and social phenomenon [22]. In particular, Li et al [23] depicted the temporal and spatial heterogeneity of carbon intensity in China's construction industry, and found spatial cluster effects in neighboring provinces. Regional characteristics, e.g., population, economic growth, and technology innovation, may affect not only the local carbon emissions, but also the carbon emissions in neighboring regions.…”

“…Measuring carbon emissions for the construction industry is different from those for a single building, which usually predicts carbon emissions based on on-site survey data of detailed energy and material consumption of the building [29]. Several methods are available to measure carbon emissions in the construction industry, e.g., the carbon emission coefficient method, based on the terminal energy consumption [23], and the input-output method [1,30,31]. Due to data availability, we adopted the carbon emission coefficient method recommended by the Intergovernmental Panel on Climate Change (IPCC) report to calculate carbon emissions in the construction industry.…”

“…Typically, there are different scopes to calculate the direct carbon emissions [32]. In line with the scope used by Li et al [23], we calculated the direct carbon emissions in the construction industry only from the consumption side. In other words, energies used for generating other forms of energy, e.g., electricity, were not part of our calculation.…”

中国建筑业碳排放时空特征及分省贡献

“…。在驱动因素研究方面： 主要采用 因素分解方法， 包括 LMDI 方法 [7][8][9][10] 和结构分解方法 (SDA) [11] 。有学者同时采用因素分解和脱钩分析方 法对碳排放驱动因素进行分析 [12][13][14] 。也有学者采用 回归方法对影响因素进行识别， 如地理加权回归模 41 5 http://www.resci.net 型 [15] 。此外， 还有学者将碳排放作为非期望产出引入 到 DEA 模型中， 从而对建筑业的碳排放绩效进行综 合测度 [16,17] 。例如， Liu 等采用随机边界分析方法对 考虑碳排放的建筑业能源效率进行综合测算 [18] [13] ； Li 等 [8] 和 Du 等 [15]…”