School of Management, China University of Mining and Technology, Xuzhou, 221116, China; Center for Environmental Management and Economics Policy Research, China University of Mining and Technology, Xuzhou, 221116, China.
School of Management, China University of Mining and Technology, Xuzhou, 221116, China; Center for Environmental Management and Economics Policy Research, China University of Mining and Technology, Xuzhou, 221116, China.
J Environ Manage. 2021 Feb 1;279:111531. doi: 10.1016/j.jenvman.2020.111531. Epub 2020 Nov 7.
PM 2.5 emissions caused by household activities are considered to be important drivers of haze formation, and indirect activities closely related to industrial structure account for a large proportion of them. This article quantifies the indirect effects on energy usage and PM 2.5 emissions of urban and rural residents' lifestyles in China during 2005-2015 according to the application of consumer lifestyle analysis. The results show that during this period, the degree of indirect impact on energy consumption of residents' living was 2.44-2.71 times as of direct impact, and there are large regional differences between those two impacts. PM 2.5 emissions from energy consumption per unit of households in North, Northeast and Northwest China are higher than that in other regions, while energy consumption in South China is relatively environmentally friendly. Residential, clothing and transportation are the most energy-intensive and PM 2.5-intensive activities among all indirect energy consumption activities. This is the first time that the CLA method has been used to analyze and calculate PM2.5 emissions caused by household energy consumption in a wide area of China through data collection over a longer period. The calculation results are more accurate than previous studies using other methods. Also, it provides factual evidence for key policies of energy saving and environmental protection, as well as pointing out the main sectors of household energy consumption that caused high PM 2.5 emissions for specific regions. The above contributions can provide a theoretical basis and accurate reference data for governments to more purposefully guide the transformation of energy-intensive industries represented by residence and other industries and improve technology to reduce their emissions.
家庭活动造成的 PM2.5 排放被认为是雾霾形成的重要驱动因素，而与产业结构密切相关的间接活动在其中占很大比例。本文根据消费生活方式分析的应用，量化了 2005-2015 年中国城乡居民生活方式对能源使用和 PM2.5 排放的间接影响。结果表明，在此期间，居民生活间接影响能源消耗的程度是直接影响的 2.44-2.71 倍，两者之间存在较大的区域差异。中国北方、东北和西北地区家庭每单位能源消耗的 PM2.5 排放量高于其他地区，而南方的能源消耗相对环保。居住、服装和交通是所有间接能源消耗活动中能源密集度和 PM2.5 密集度最高的活动。这是首次通过较长时期的数据收集，利用 CLA 方法分析和计算中国广大地区家庭能源消费引起的 PM2.5 排放。计算结果比以往使用其他方法的研究更为准确。此外，它为节能减排等关键政策提供了事实依据，并指出了造成特定地区高 PM2.5 排放的家庭能源消费的主要部门。上述贡献可以为政府更有针对性地引导以居住等为代表的能源密集型产业转型和提高减排技术提供理论基础和准确的参考数据。
