Research Unit for Sustainable Development (GRISS), Department of Earth and Environmental Sciences, University of Milan Bicocca, Milan, Italy.
Joint Research Center, European Commission, Ispra, Italy.
Integr Environ Assess Manag. 2015 Jul;11(3):373-82. doi: 10.1002/ieam.1614. Epub 2015 Mar 16.
In the context of a circular economy, sustainable consumption is often seen as the antithesis of current consumption patterns, which have led to the definition of the so-called throwaway society. Reuse may provide a preferred alternative to other waste management options, because it promotes resource efficiency and may significantly reduce environmental impacts. To appraise the environmental benefits related to reuse of goods, a methodology adopting life cycle assessment (LCA) has been developed. A standardized procedure has been developed, identifying reference products within product category subject to reuse, and collecting reliable inventory data as a basis for calculating environmental impact through LCA. A case study on a second-hand shop is presented, and the avoided impacts are quantified. Inventory data were taken both from the literature and directly from sales and surveys submitted to customers. The results are presented, highlighting: 1) for each product category, the average avoided impacts for 1 unit of reused product considered; and 2) for the overall activities of the second-hand shop, the cumulative avoided impacts in 1 yr. In the case study, the higher contribution to avoided impacts comes from the apparel sector, due to the high amount of items sold, followed by the furniture sector, because of the high amount of environmental impacts avoided by the reuse of each single item.
在循环经济背景下,可持续消费通常被视为当前消费模式的对立面,而当前的消费模式导致了所谓的一次性社会的出现。再利用可能是其他废物管理选择的首选替代方案,因为它可以提高资源效率,并可能显著减少环境影响。为了评估与商品再利用相关的环境效益,已经开发了采用生命周期评估 (LCA) 的方法。已经制定了标准化程序,确定了要再利用的产品类别内的参考产品,并收集可靠的清单数据,作为通过 LCA 计算环境影响的基础。介绍了一个二手商店的案例研究,并对避免的影响进行了量化。清单数据取自文献和直接从销售和向客户提交的调查中获得。结果显示:1)对于每种产品类别,考虑到再利用的 1 个单位产品,平均避免的影响;以及 2)对于二手商店的整体活动,1 年内累计避免的影响。在案例研究中,服装部门对避免的影响的贡献最大,这是由于销售的物品数量多,其次是家具部门,因为再利用每个单一物品可以避免大量的环境影响。