Greenhouse Gas Emissions Accounting of Urban Residential Consumption: A Household Survey Based Approach
Учет выбросов парниковых газов, связанных с потреблением в городских жилых районах: подход на основе обследования домохозяйств
2013-02-06
SCID: 54.1/jvj63gww
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Xiamen Citygreenhouse gas emissions accountinghousehold surveylow-carbon citiesurban residential consumption
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Abstract (AI)
Devising policies for a low carbon city requires a careful understanding of the characteristics of urban residential lifestyle and consumption. The production-based accounting approach based on top-down statistical data has a limited ability to reflect the total greenhouse gas (GHG) emissions from residential consumption. In this paper, we present a survey-based GHG emissions accounting methodology for urban residential consumption, and apply it in Xiamen City, a rapidly urbanizing coastal city in southeast China. Based on this, the main influencing factors determining residential GHG emissions at the household and community scale are identified, and the typical profiles of low, medium and high GHG emission households and communities are identified. Up to 70% of household GHG emissions are from regional and national activities that support household consumption including the supply of energy and building materials, while 17% are from urban level basic services and supplies such as sewage treatment and solid waste management, and only 13% are direct emissions from household consumption. Housing area and household size are the two main factors determining GHG emissions from residential consumption at the household scale, while average housing area and building height were the main factors at the community scale. Our results show a large disparity in GHG emissions profiles among different households, with high GHG emissions households emitting about five times more than low GHG emissions households. Emissions from high GHG emissions communities are about twice as high as from low GHG emissions communities. Our findings can contribute to better tailored and targeted policies aimed at reducing household GHG emissions, and developing low GHG emissions residential communities in China.
Key Findings
1
High-emission households emit approximately five times more than low-emission households, while high-emission communities emit about twice as much as low-emission communities.
2
Housing area and household size are the primary determinants of household-level residential emissions, while average housing area and building height dominate at the community level.
3
In Xiamen, 70% of household emissions arise from regional and national supporting activities, 17% from urban services, and 13% from direct household consumption.
4
The identified emission profiles support targeted policies for reducing household emissions and developing low-emission residential communities in China.
5
The study develops a survey-based methodology to account for greenhouse gas emissions associated with urban residential consumption.
Research Object
Urban residential consumption and its associated households and communities in Xiamen City, China
Research Subject
Greenhouse gas emissions from residential consumption, including their sources, influencing factors, and variation across households and communities
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2013-02-06
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