The log mean divisia index based carbon productivity in the Australian construction industry

Abstract

Environmental protection and economic growth are two indicators of sustainable global development. This study aims to investigate the performance of environmental protection and economic growth by measuring carbon productivity in the construction field. Carbon productivity is the amount of gross domestic product generated by the unit of carbon emissions. The log mean Divisia index method is used to investigate influential factors including carbon intensity, energy intensity and regional adjustment that impact on changes of carbon productivity. The study utilises a range of data from the Australian construction industry during 1995-2004 including energy consumption, industry value added and carbon dioxide equivalent consumption. The research indicates carbon productivity in the Australian construction industry has clearly increased. Energy intensity plays a significant positive role in promoting carbon productivity, whereas carbon intensity and regional adjustment have limited influence. Introducing advanced construction machinery and equipment is a feasible pathway to enhance carbon productivity. The research method is generic and can be used to measure other performance indicators and decomposing them into influential factors.

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]…”