Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/91771
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Type: Journal article
Title: Urban household carbon emission and contributing factors in the Yangtze River Delta, China
Author: Xu, X.
Tan, Y.
Chen, S.
Yang, G.
Su, W.
Citation: PLoS One, 2015; 10(4):e0121604-1-e0121604-21
Publisher: Public Library of Science
Issue Date: 2015
ISSN: 1932-6203
1932-6203
Statement of
Responsibility: 
Xibao Xu, Yan Tan, Shuang Chen, Guishan Yang, Weizhong Su
Abstract: Carbon reduction at the household level is an integral part of carbon mitigation. This study analyses the characteristics, effects, contributing factors and policies for urban household carbon emissions in the Yangtze River Delta of China. Primary data was collected through structured questionnaire surveys in three cities in the region - Nanjing, Ningbo, and Changzhou in 2011. The survey data was first used to estimate the magnitude of household carbon emissions in different urban contexts. It then examined how, and to what extent, each set of demographic, economic, behavioral/cognitive and spatial factors influence carbon emissions at the household level. The average of urban household carbon emissions in the region was estimated to be 5.96 tonnes CO2 in 2010. Energy consumption, daily commuting, garbage disposal and long-distance travel accounted for 51.2%, 21.3%, 16.0% and 11.5% of the total emission, respectively. Regulating rapidly growing car-holdings of urban households, stabilizing population growth, and transiting residents' low-carbon awareness to household behavior in energy saving and other spheres of consumption in the context of rapid population aging and the growing middle income class are suggested as critical measures for carbon mitigation among urban households in the Yangtze River Delta.
Keywords: Humans; Carbon Dioxide; Carbon; Regression Analysis; Family Characteristics; Rivers; Environmental Monitoring; Refuse Disposal; Transportation; China
Rights: © 2015 Xu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
RMID: 0030027728
DOI: 10.1371/journal.pone.0121604
Appears in Collections:Geography, Environment and Population publications

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