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Infrastructure Shapes Differences in the Carbon Intensities of Chinese Cities

Overview of attention for article published in Environmental Science & Technology, April 2018
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Title
Infrastructure Shapes Differences in the Carbon Intensities of Chinese Cities
Published in
Environmental Science & Technology, April 2018
DOI 10.1021/acs.est.7b05654
Pubmed ID
Authors

Bo Zheng, Qiang Zhang, Steven J. Davis, Philippe Ciais, Chaopeng Hong, Meng Li, Fei Liu, Dan Tong, Haiyan Li, Kebin He

Abstract

The carbon intensity of economic activity, or CO2 emissions per unit GDP, is a key indicator of the climate impacts of a given activity, business, or region. Although it is well-known that the carbon intensity of countries varies widely according to their level of economic development and dominant industries, few studies have assessed disparities in carbon intensity at the level of cities due to limited availability of data. Here, we present a detailed new inventory of emissions for 337 Chinese cities (every city in mainland China including 333 prefecture-level divisions and 4 province-level cities, Beijing, Tianjin, Shanghai, and Chongqing) in 2013, which we use to evaluate differences of carbon intensity between cities and the causes of those differences. We find that cities' average carbon intensity is 0.84 kg of CO2 per dollar of gross domestic product (kgCO2 per $GDP), but individual cities span a large range: from 0.09 to 7.86 kgCO2 per $GDP (coefficient of variation of 25%). Further analysis of economic and technological drivers of variations in cities' carbon intensity reveals that the differences are largely due to disparities in cities' economic structure that can in turn be traced to past investment-led growth. These patterns suggest that "carbon lock-in" via socio-economic and infrastructural inertia may slow China's efforts to reduce emissions from activities in urban areas. Policy instruments targeted to accelerate the transition of urban economies from investment-led to consumption-led growth may thus be crucial to China meeting both its economic and climate targets.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Master 7 12%
Researcher 7 12%
Lecturer 4 7%
Professor 4 7%
Other 9 15%
Unknown 16 27%
Readers by discipline Count As %
Environmental Science 14 23%
Economics, Econometrics and Finance 6 10%
Earth and Planetary Sciences 6 10%
Energy 4 7%
Engineering 2 3%
Other 5 8%
Unknown 23 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 April 2018.
All research outputs
#8,785,879
of 25,845,749 outputs
Outputs from Environmental Science & Technology
#10,109
of 21,487 outputs
Outputs of similar age
#141,064
of 342,459 outputs
Outputs of similar age from Environmental Science & Technology
#144
of 250 outputs
Altmetric has tracked 25,845,749 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,459 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 250 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.