Abstract
It is crucial to study the carbon emissions
worldwide induced by urban consumption activities. Taking consumption-oriented
city Beijing as an example, we constructed a nested multi-regional input-output
model (MRIO), and measured carbon emissions and value-added in local, domestic,
and international systems. Furthermore, the structural decomposition analysis
(SDA) and structural path analysis (SPA) was applied to analyze cross-system
driving forces and key paths of carbon emission changes. The conclusions show:
(1) Beijing's consumption leads to the highest carbon emissions in the domestic
system but the highest value-added in the local system. There is spatial
inconsistency in carbon emissions and value-added. (2) The intermediate
commodity input-output effect (ICIOE) of intra-domestic provinces is the main
driving factors contributing to the reduction of carbon emissions. In contrast,
the ICIOE of inter-domestic provinces is the main factor leading to the rise.
(3) In the top 10 types of key paths for Beijing’s consumption-based carbon
emissions (CBCE) growth, electric power and construction sectors in domestic
systems are key sectors. Chemical products and transport equipment in foreign
systems are key sectors for Beijing’s CBCE decrease. Our findings suggest
Beijing enhancing cross-system cooperation to achieve carbon reduction targets.
JEL classification numbers: R15.
Keywords: Consumption-based carbon emissions, Multi-regional input-output,
Structural decomposition analysis, Structural path analysis.