Netherlands Organisation for Applied Scientific Research, Delft, The Netherlands.
Environ Sci Technol. 2013 Feb 19;47(4):1775-83. doi: 10.1021/es303217f. Epub 2013 Jan 31.
Environmentally extended input output (EE IO) analysis is increasingly used to assess the carbon footprint of final consumption. Official EE IO data are, however, at best available for single countries or regions such as the EU27. This causes problems in assessing pollution embodied in imported products. The popular "domestic technology assumption (DTA)" leads to errors. Improved approaches based on Life Cycle Inventory data, Multiregional EE IO tables, etc. rely on unofficial research data and modeling, making them difficult to implement by statistical offices. The DTA can lead to errors for three main reasons: exporting countries can have higher impact intensities; may use more intermediate inputs for the same output; or may sell the imported products for lower/other prices than those produced domestically. The last factor is relevant for sustainable consumption policies of importing countries, whereas the first factors are mainly a matter of making production in exporting countries more eco-efficient. We elaborated a simple correction for price differences in imports and domestic production using monetary and physical data from official import and export statistics. A case study for the EU27 shows that this "price-adjusted DTA" gives a partial but meaningful adjustment of pollution embodied in trade compared to multiregional EE IO studies.
环境扩展投入产出(EEIO)分析越来越多地用于评估最终消费的碳足迹。然而,官方的 EEIO 数据最多只能用于单个国家或地区,例如欧盟 27 国。这在评估进口产品所包含的污染方面存在问题。流行的“国内技术假设(DTA)”会导致错误。基于生命周期清单数据、多区域 EEIO 表等的改进方法依赖于非官方的研究数据和建模,这使得统计局难以实施。DTA 可能导致错误有三个主要原因:出口国的影响强度可能更高;可能为相同的产出使用更多的中间投入;或者可能以比国内生产更低/其他价格出售进口产品。最后一个因素与进口国的可持续消费政策有关,而前两个因素主要是使出口国的生产更加生态高效。我们使用官方进出口统计数据中的货币和实物数据,详细说明了一种用于进口和国内生产价格差异的简单修正方法。针对欧盟 27 国的案例研究表明,与多区域 EEIO 研究相比,这种“价格调整后的 DTA”对贸易中包含的污染进行了部分但有意义的调整。