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Compilation of an Embodied CO 2 Emission Inventory for China Using 135-Sector Input-Output Tables

Qian Zhang (), Jun Nakatani () and Yuichi Moriguchi ()
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Qian Zhang: Department of Urban Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Jun Nakatani: Department of Urban Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Yuichi Moriguchi: Department of Urban Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

Sustainability, 2015, vol. 7, issue 7, 1-17

Abstract: A high-quality carbon dioxide (CO 2 ) inventory is the cornerstone of climate change mitigation. Most of the previously reported embodied CO 2 inventories in China have no more than 42 sectors, and this limitation may introduce apparent inaccuracy into the analysis at the sector level. To improve the quality of input-output (IO)-based CO 2 inventories for China, we propose a practical energy allocation approach to link the energy statistics to the 135-sector IO tables for China and compiled a detailed embodied CO 2 intensity and inventory for 2007 using a single-region IO model. Interpretation of embodied CO 2 intensities by fuel category, direct requirement, and total requirement in the sectors were conducted to identify, from different perspectives, the significant contributors. The total embodied CO 2 emissions in 2007 was estimated to be 7.1 Gt and was separated into the industrial sector and final demand sector. Although the total CO 2 estimations by the 42-sector and 135-sector analyses are equivalent, the allocations in certain groups of sectors differ significantly. Our compilation methodologies address indirect environmental impacts from industrial sectors, including the public utility and tertiary sectors. This method of interpretation could be utilized for better communication with stakeholders.

Keywords: embodied CO 2 intensity; energy allocation; indirect emission; environmental input-output analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2015
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