Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China.
J Environ Sci (China). 2019 Jan;75:209-215. doi: 10.1016/j.jes.2018.03.026. Epub 2018 Mar 29.
In this article, per capita urban carbon emissions were decomposed into manufacturing, transportation, and construction sectors using logarithmic mean Divisia index (LMDI) method. This new decomposition method can provide information about specific drivers of carbon emissions, including urban growth and resident living standards, rather than general demographic and economic factors identified by traditional methods. Using four Chinese megacities (Beijing, Tianjin, Shanghai, and Chongqing) as case studies, we analyzed the factors that influenced per capita carbon emissions from 2010 to 2015. The results showed that per capita carbon emissions increased in Tianjin and Chongqing whereas decreased in Beijing and Shanghai, and that manufacturing was a key driving force. In these four megacities, energy conservation strategies were successfully implemented despite poor energy structure optimization during 2010-2015. Development of manufacturing and improvement of resident living standards in the cities led to an increase in carbon emissions. The unique dual-core urban form of Tianjin might mitigate the increased carbon emissions caused by the transportation sector. Reductions in carbon emissions could be achieved by further optimizing energy structures, limiting the number of private cars, and controlling per capita construction.
本文利用对数平均迪氏指数（LMDI）法将人均城市碳排放分解为制造业、交通运输业和建筑业。这种新的分解方法可以提供有关碳排放具体驱动因素的信息，包括城市增长和居民生活水平，而不是传统方法确定的一般人口和经济因素。本文以中国四大城市（北京、天津、上海和重庆）为例，分析了 2010 年至 2015 年影响人均碳排放的因素。结果表明，天津和重庆的人均碳排放增加，而北京和上海的人均碳排放减少，制造业是主要驱动力。在这四个大城市中，尽管 2010-2015 年期间能源结构优化不佳，但节能策略得以成功实施。制造业的发展和居民生活水平的提高导致了碳排放的增加。天津独特的双核城市形态可能缓解了交通运输部门增加的碳排放。通过进一步优化能源结构、限制私家车数量和控制人均建筑，可以实现碳减排。
