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Title: Provincial Carbon Emissions Reduction Allocation Plan in China Based on Consumption Perspective
Authors: Wang, Xuecheng
Tang, Xu
Zhang, Baosheng
McLellan, Benjamin  kyouindb  KAKEN_id
Lv, Yang
Keywords: carbon emission reduction allocation
embodied carbon emission flow
input-output analysis
ecological network analysis
Issue Date: 26-Apr-2018
Publisher: MDPI AG
Journal title: Sustainability
Volume: 10
Issue: 5
Thesis number: 1342
Abstract: China is a country with substantial differences in economic development, energy consumption mix, resources, and technologies, as well as the development path at the provincial level. Therefore, China’s provinces have different potential and degrees of difficulty to carry out carbon emission reduction (CER) requirements. In addition, interprovincial trade, with a large amount of embodied carbon emissions, has become the fastest growing driver of China’s total carbon emissions. A reasonable CER allocation plan is, therefore, crucial for realizing the commitment that China announced in the Paris Agreement. How to determine a fair way to allocate provincial CER duties has become a significant challenge for both policy-makers and researchers. In this paper, ecological network analysis (ENA), combined with a multi-regional input-output model (MRIO), is adopted to build an ecological network of embodied emissions across 30 provinces. Then, by using flow analysis and utility analysis based on the ENA model, the specific relationships among different provinces were determined, and the amount of responsibility that a certain province should take quantified, with respect to the embodied carbon emission (ECE) flows from interprovincial trade. As a result, we suggest a new CER allocation plan, based on the detailed data of interprovincial relationships and ECE flows.
Rights: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0)
DOI(Published Version): 10.3390/su10051342
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