期刊
ECOLOGICAL ECONOMICS
卷 119, 期 -, 页码 217-229出版社
ELSEVIER
DOI: 10.1016/j.ecolecon.2015.09.002
关键词
Material flow accounting; Environmentally extended input output; Sector aggregation bias; Footprint
资金
- University of Oulu Graduate School
- AURORA Doctoral Program
- Tauno Tonning Research Foundation
- Oulu University Scholarship Foundation
- Academy of Finland for the Sustainable Use of Natural Resources
- Finnish Economy (SURE) project [258559]
This paper presents the impact of sector aggregation bias in Environmentally Extended Input Output (EEIO) models, focusing on raw material flows. Finnish industries are aggregated in different ways and causes of bias are studied. The results show that industries with high raw material use deserve special attention in EEIO models. For Finland, particularly problematic is the aggregation of biomass extractive sectors, since the relative importance of forestry causes noticeable deviations. Sources and strategies to prevent errors are described separately for biomass and mineral raw materials. A brief comparison between raw material flows and greenhouse gas emissions is also made. It is shown that aggregation of extractive sectors biases more in material flow analyses. This issue might be of significance in the near future, owing to the foreseeable changes in the European Union accounting framework. (C) 2015 Elsevier B.V. All rights reserved.
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