Andreoni Valeria
Management School, University of Liverpool, Chatham Street, Liverpool, L69 7ZH, UK.
J Clean Prod. 2022 Aug 20;363:132616. doi: 10.1016/j.jclepro.2022.132616. Epub 2022 Jun 7.
The COVID-19 pandemic and the related lockdown restrictions have imposed a wide range of impacts that need to be analysed based on the specific characteristics of countries. By comparing socio-economic and energy data for the four quarters of 2020 to the same period of 2019, the MuSIASEM approach is used, for the first time, to investigate the energy metabolism of UK during a period of economic downturn. Results show that the commercial and the public administration activities have been able to achieve energy efficiency increases, and the residential sector has accounted for energy-related economies of scale. The industrial and the other activity sectors, on the contrary, have raised the energy intensity of production. Comparted to time series data, scenarios, and modelling exercises, the MuSIASEM approach integrates a wide range of intensive and extensive variables across different scales of analysis and investigate how specific socio-economic and energy structures have reacted to the COVID-19 crisis. The methodology can be easily replicated for other case studies and results can support the design of recovery and sustainable transition strategies.
新冠疫情及相关封锁限制带来了广泛影响,需要根据各国的具体特征进行分析。通过将2020年四个季度的社会经济和能源数据与2019年同期数据进行比较,首次运用MuSIASEM方法研究英国经济衰退期间的能源代谢。结果表明,商业和公共管理活动实现了能源效率提升,住宅部门形成了与能源相关的规模经济。相反,工业和其他活动部门提高了生产的能源强度。与时间序列数据、情景分析和建模练习相比,MuSIASEM方法整合了不同分析尺度上的广泛集约和粗放变量,并研究了特定社会经济和能源结构对新冠危机的反应。该方法可轻松复制用于其他案例研究,其结果可为复苏和可持续转型战略的设计提供支持。