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Infrastructure Shapes Differences in the Carbon Intensities of Chinese Cities.

Authors :
Zheng B
Zhang Q
Davis SJ
Ciais P
Hong C
Li M
Liu F
Tong D
Li H
He K
Source :
Environmental science & technology [Environ Sci Technol] 2018 May 15; Vol. 52 (10), pp. 6032-6041. Date of Electronic Publication: 2018 Apr 25.
Publication Year :
2018

Abstract

The carbon intensity of economic activity, or CO <subscript>2</subscript> 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 CO <subscript>2</subscript> per dollar of gross domestic product (kgCO <subscript>2</subscript> per $GDP), but individual cities span a large range: from 0.09 to 7.86 kgCO <subscript>2</subscript> 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.

Details

Language :
English
ISSN :
1520-5851
Volume :
52
Issue :
10
Database :
MEDLINE
Journal :
Environmental science & technology
Publication Type :
Academic Journal
Accession number :
29692172
Full Text :
https://doi.org/10.1021/acs.est.7b05654