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Journey to world top emitter: An analysis of the driving forces of China's recent CO2 emissions surge

doi: 10.1029/2008gl036540
China's economy has been growing at an accelerated rate from 2002 to 2005 and with it China's carbon emissions. It is easier to understand the growth in China's carbon emissions by considering which consumption activities ‐ households and government, capital investments, and international trade ‐ drive Chinese production and hence emissions. This paper adopts structural decomposition analysis, a macro‐economic approach using data from national statistical offices, to investigate the drivers of China's recent CO2 emissions surge. The speed of efficiency gains in production sectors cannot cope with the growth in emissions due to growth in final consumption and associated production processes. More specifically, Chinese export production is responsible for one‐half of the emission increase. Capital formation contributes to one‐third of the emission increase. A fast growing component is carbon emissions related to consumption of services by urban households and governmental institutions, which are responsible for most of the remaining emissions.
- University of Leeds United Kingdom
- University of Cambridge United Kingdom
- University of Oslo Norway
- Carnegie Mellon University United States
- University of East Anglia United Kingdom
330, 950
330, 950
citations 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).346 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%
