
The aim of this study is to quantify the driving forces behind the growth of carbon dioxide emissions embodied in trade (EET). The World Input-output Database is used to estimate EET in 40 countries during 1995-2007 after which a structural decomposition analysis is applied. To avoid biases in the results, we have used the input-output tables in previous year's prices and chained the outcomes. In many developed countries, the growth of emissions embodied in imports is much higher than the growth of emissions embodied in exports. A key reason for this finding is the change in the structure of trade, both in intermediate and in final products. Emerging economies like the BRIC countries have increased their share in production and trade at the expense of developed countries. Producers and consumers in developed countries have shifted towards importing a larger share of products from emerging countries. This is the distinguishing feature that led to an increase of emissions embodied in imports for developed countries and an increase of emissions embodied in exports for emerging countries. These results suggest policy makers to monitor EET more carefully and take the effects of trade on emissions into consideration. (C) 2014 Elsevier B.V. All rights reserved.
Emissions embodied in trade, DATABASE, MODELS, ENERGY-CONSUMPTION, CARBON FOOTPRINT, INTERNATIONAL-TRADE, Global multi-regional input-output model, US ECONOMY, CO2 EMISSIONS, Structural decomposition analysis, INPUT-OUTPUT-ANALYSIS, GROWTH, World Input-output Database, PROJECT
Emissions embodied in trade, DATABASE, MODELS, ENERGY-CONSUMPTION, CARBON FOOTPRINT, INTERNATIONAL-TRADE, Global multi-regional input-output model, US ECONOMY, CO2 EMISSIONS, Structural decomposition analysis, INPUT-OUTPUT-ANALYSIS, GROWTH, World Input-output Database, PROJECT
| 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). | 253 | |
| 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 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 1% |
