TY - JOUR
T1 - Do greenhouse gas emissions drive extreme weather conditions at the city level in China? Evidence from spatial effects analysis
AU - Yang, Zhiming
AU - Kagawa, Shigemi
AU - Li, Jing
N1 - Funding Information:
This study was supported by the Beijing Philosophy and Social Science Planning Project ( 17JDGLA010 ) and the Key research base of Humanities and Social Sciences Project of Jiangxi Province ( JD18015 ).
Publisher Copyright:
© 2021 Elsevier B.V.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/5
Y1 - 2021/5
N2 - This paper employs spatial econometric models to depict the impact of CO2 emissions on extreme temperature of Chinese cities. Ten indicators are used to measure the extreme temperature, including extreme heat and extreme cold. Meanwhile, both the geographical and climatic factors and the economic factors are considered to control the model. The results show that CO2 emissions have significant effect on extreme weather changes. An increase in emissions leads to an increase in the probability of extreme heatby 0.00843 and a decrease in the probability of extreme cold by 0.00737. Considering the spatial effects, CO2 emissions increased the probability of extreme heat in local city and decreased that in nearby cities, while CO2 emissions decreased the ratio of extreme cold in both local city and neighboring cities. Specifically, the extreme heat days increased 0.114 day in the local city and decreased 15.601 days in the neighboring cities, while the extreme cold days decreased about 0.347 and 12.695 days for the local city and all neighboring cities, respectively. As climate changes resulted from emission growth have significant policy implications for sustainable development, this cannot be neglected in policy-making.
AB - This paper employs spatial econometric models to depict the impact of CO2 emissions on extreme temperature of Chinese cities. Ten indicators are used to measure the extreme temperature, including extreme heat and extreme cold. Meanwhile, both the geographical and climatic factors and the economic factors are considered to control the model. The results show that CO2 emissions have significant effect on extreme weather changes. An increase in emissions leads to an increase in the probability of extreme heatby 0.00843 and a decrease in the probability of extreme cold by 0.00737. Considering the spatial effects, CO2 emissions increased the probability of extreme heat in local city and decreased that in nearby cities, while CO2 emissions decreased the ratio of extreme cold in both local city and neighboring cities. Specifically, the extreme heat days increased 0.114 day in the local city and decreased 15.601 days in the neighboring cities, while the extreme cold days decreased about 0.347 and 12.695 days for the local city and all neighboring cities, respectively. As climate changes resulted from emission growth have significant policy implications for sustainable development, this cannot be neglected in policy-making.
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U2 - 10.1016/j.uclim.2021.100812
DO - 10.1016/j.uclim.2021.100812
M3 - Article
AN - SCOPUS:85101998530
VL - 37
JO - Urban Climate
JF - Urban Climate
SN - 2212-0955
M1 - 100812
ER -