The Impacts of City Size and Density on CO2 Emissions: Evidence from the Yangtze River Delta Urban Agglomeration
With rapid urbanization, cities plays an increasingly key role in addressing CO 2 emission-related issues. This study aims at analysing the spatial relation between city size and CO 2 emissions in the case of Yangtze River Delta Urban Agglomeration (YRDUA) in China over the years from 2006 to 2016,...
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Published in | Applied spatial analysis and policy Vol. 15; no. 2; pp. 529 - 555 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Netherlands
01.06.2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | With rapid urbanization, cities plays an increasingly key role in addressing CO
2
emission-related issues. This study aims at analysing the spatial relation between city size and CO
2
emissions in the case of Yangtze River Delta Urban Agglomeration (YRDUA) in China over the years from 2006 to 2016, making a contribution to the existing body of knowledge of the relationships between urban form and CO
2
emissions. This paper identified the following main findings: (1) There is a U-shape relationship between population size and CO
2
emissions in YRDUA; (2) There is a negative sublinear relationship between CO
2
emissions and city density in YRDUA; (3) The ideal urban form for low CO
2
performance in YRDUA is 2.716 million people living in high population density; (4) Increasing population size is an effective but not a long-term approach for CO
2
emissions reduction, because for every marginal increase of city density, the marginal reduction of CO
2
emission will decrease. (5) A demographic change in YRDUA from low-density cities to high-density cities would benefit CO
2
emission performance. These findings confirm the important roles of population size and density for CO
2
emissions reduction in urban agglomeration and so help shape current policy debates. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1874-463X 1874-4621 |
DOI: | 10.1007/s12061-021-09406-2 |