
doi: 10.1111/jiec.12715
handle: 11250/2578406 , 1887/67827 , 1887/59451
SummaryEnvironmentally extended multiregional input‐output (EE MRIO) tables have emerged as a key framework to provide a comprehensive description of the global economy and analyze its effects on the environment. Of the available EE MRIO databases, EXIOBASE stands out as a database compatible with the System of Environmental‐Economic Accounting (SEEA) with a high sectorial detail matched with multiple social and environmental satellite accounts. In this paper, we present the latest developments realized with EXIOBASE 3—a time series of EE MRIO tables ranging from 1995 to 2011 for 44 countries (28 EU member plus 16 major economies) and five rest of the world regions. EXIOBASE 3 builds upon the previous versions of EXIOBASE by using rectangular supply‐use tables (SUTs) in a 163 industry by 200 products classification as the main building blocks. In order to capture structural changes, economic developments, as reported by national statistical agencies, were imposed on the available, disaggregated SUTs from EXIOBASE 2. These initial estimates were further refined by incorporating detailed data on energy, agricultural production, resource extraction, and bilateral trade. EXIOBASE 3 inherits the high level of environmental stressor detail from its precursor, with further improvement in the level of detail for resource extraction. To account for the expansion of the European Union (EU), EXIOBASE 3 was developed with the full EU28 country set (including the new member state Croatia). EXIOBASE 3 provides a unique tool for analyzing the dynamics of environmental pressures of economic activities over time.
Consumption-based accounting, EE MRIO analysis, environmental-economic accounting, EXIOBASE, footprints, industrial ecology, ddc:600, 105904 Environmental research, 207106 Erneuerbare Energie, Consumption-based accounting, 401905 Nachwachsende Rohstoffe, industrial ecology, 502050 Wirtschaftsinformatik, 405004 Nachhaltige Landwirtschaft, environmental-economic accounting, 107004 Humanökologie, 401905 Renewable resources, 502022 Nachhaltiges Wirtschaften, 405004 Sustainable agriculture, 502022 Sustainable economics, EXIOBASE, 502042 Umweltökonomie, 107004 Human ecology, 502042 Environmental economics, EE MRIO analysis, footprints, 502050 Business informatics, 509, 207106 Renewable energy, 405, 201128 Sustainable building, 105904 Umweltforschung, Consumption‐based accounting ; footprints ; industrial ecology ; EXIOBASE ; EE MRIO analysis ; environmental‐economic accounting, 201128 Nachhaltiges Bauen
Consumption-based accounting, EE MRIO analysis, environmental-economic accounting, EXIOBASE, footprints, industrial ecology, ddc:600, 105904 Environmental research, 207106 Erneuerbare Energie, Consumption-based accounting, 401905 Nachwachsende Rohstoffe, industrial ecology, 502050 Wirtschaftsinformatik, 405004 Nachhaltige Landwirtschaft, environmental-economic accounting, 107004 Humanökologie, 401905 Renewable resources, 502022 Nachhaltiges Wirtschaften, 405004 Sustainable agriculture, 502022 Sustainable economics, EXIOBASE, 502042 Umweltökonomie, 107004 Human ecology, 502042 Environmental economics, EE MRIO analysis, footprints, 502050 Business informatics, 509, 207106 Renewable energy, 405, 201128 Sustainable building, 105904 Umweltforschung, Consumption‐based accounting ; footprints ; industrial ecology ; EXIOBASE ; EE MRIO analysis ; environmental‐economic accounting, 201128 Nachhaltiges Bauen
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 757 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
