Carbon footprints of cities and other human settlements in the UK

被引:251
作者
Minx, Jan [1 ]
Baiocchi, Giovanni [2 ,3 ]
Wiedmann, Thomas [4 ,5 ]
Barrett, John [6 ]
Creutzig, Felix [7 ,8 ]
Feng, Kuishuang [3 ]
Foerster, Michael [9 ]
Pichler, Peter-Paul [1 ]
Weisz, Helga [1 ]
Hubacek, Klaus [3 ]
机构
[1] Potsdam Inst Climate Impact Res, Potsdam, Germany
[2] Univ E Anglia, Norwich Business Sch, Norwich NR4 7TJ, Norfolk, England
[3] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA
[4] Univ New S Wales, Sch Civil & Environm Engn, Sydney, NSW 2052, Australia
[5] Univ Sydney, ISA, Sch Phys A28, Sydney, NSW 2006, Australia
[6] Univ Leeds, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England
[7] Mercator Res Inst Global Commons & Climate Change, Berlin, Germany
[8] Tech Univ Berlin, Dept Econ Climate Change, Berlin, Germany
[9] Tech Univ Berlin, Geoinformat Environm Planning Lab, Berlin, Germany
来源
ENVIRONMENTAL RESEARCH LETTERS | 2013年 / 8卷 / 03期
关键词
carbon footprint; cities; human settlements; local consumption; emission drivers; INPUT-OUTPUT-ANALYSIS; EMISSIONS; CITY; MODELS; CO2;
D O I
10.1088/1748-9326/8/3/035039
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A growing body of literature discusses the CO2 emissions of cities. Still, little is known about emission patterns across density gradients from remote rural places to highly urbanized areas, the drivers behind those emission patterns and the global emissions triggered by consumption in human settlements-referred to here as the carbon footprint. In this letter we use a hybrid method for estimating the carbon footprints of cities and other human settlements in the UK explicitly linking global supply chains to local consumption activities and associated lifestyles. This analysis comprises all areas in the UK, whether rural or urban. We compare our consumption-based results with extended territorial CO2 emission estimates and analyse the driving forces that determine the carbon footprint of human settlements in the UK. Our results show that 90% of the human settlements in the UK are net importers of CO2 emissions. Consumption-based CO2 emissions are much more homogeneous than extended territorial emissions. Both the highest and lowest carbon footprints can be found in urban areas, but the carbon footprint is consistently higher relative to extended territorial CO2 emissions in urban as opposed to rural settlement types. The impact of high or low density living remains limited; instead, carbon footprints can be comparatively high or low across density gradients depending on the location-specific socio-demographic, infrastructural and geographic characteristics of the area under consideration. We show that the carbon footprint of cities and other human settlements in the UK is mainly determined by socio-economic rather than geographic and infrastructural drivers at the spatial aggregation of our analysis. It increases with growing income, education and car ownership as well as decreasing household size. Income is not more important than most other socio-economic determinants of the carbon footprint. Possibly, the relationship between lifestyles and infrastructure only impacts carbon footprints significantly at higher spatial granularity.
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页数:10
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