RESEARCH ON SPATIO-TEMPORAL EVOLUTION OF CARBON ARRANGEMENT IN NORTH CHINA CITIES AND ITS INFLUENCING FACTORS

LIU Jie; GE Xiao; ZHAO Zhenyu

doi:10.13205/j.hjgc.202310024

Volume 41 Issue 10

Oct. 2023

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LIU Jie, GE Xiao, ZHAO Zhenyu. RESEARCH ON SPATIO-TEMPORAL EVOLUTION OF CARBON ARRANGEMENT IN NORTH CHINA CITIES AND ITS INFLUENCING FACTORS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 204-212,222. doi: 10.13205/j.hjgc.202310024

Citation:

LIU Jie, GE Xiao, ZHAO Zhenyu. RESEARCH ON SPATIO-TEMPORAL EVOLUTION OF CARBON ARRANGEMENT IN NORTH CHINA CITIES AND ITS INFLUENCING FACTORS[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(10): 204-212,222. doi: 10.13205/j.hjgc.202310024

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RESEARCH ON SPATIO-TEMPORAL EVOLUTION OF CARBON ARRANGEMENT IN NORTH CHINA CITIES AND ITS INFLUENCING FACTORS

doi: 10.13205/j.hjgc.202310024

LIU Jie¹,
GE Xiao^{1
,
,},
ZHAO Zhenyu^1,2

1. School of Economics and Management, North China Electric Power University, Beijing 102206, China;
2. Beijing Key Laboratory of New Energy and Low Carbon Development, Beijing 102206, China

Received Date: 2023-07-25
Available Online: 2023-12-26

Abstract

Abstract

Increasing urban energy consumption and carbon dioxide emissions pose serious challenges to regional emission reduction policies. Based on the remote sensing simulation of night lights from 2004 to 2020, this study inverted the carbon emission data of 29 cities in North China, and used spatial autocorrelation and spatial Markov chain to analyze the spatial distribution characteristics of carbon emissions from the perspective of cities in North China from the dynamic and static aspects, to explore the agglomeration effect between cities; at the same time, in order to further clarify the factors affecting carbon emissions, based on the weighted regression model of time, space and geography, this study quantitatively identifies the relevant factors affecting urban carbon emissions from the aspects of the economy, society, environment and policy, and discusses the spatial heterogeneity can provide a theoretical basis for differentiated emission reduction. The results shows that the growth rate of per capita carbon emissions in North China is gradually decreasing, and there are obvious clustering characteristics between those cities. The influence of various factors on carbon emissions of cities in North China in different periods shows temporal and spatial heterogeneity. The level of economic development and industrial structure are strong driving forces to promote carbon emissions. Government policies have the most obvious inhibitory effect on carbon emissions. The urbanization rate and climate have the characteristics of first promoting and then inhibiting the production of carbon emissions.
- carbon emissions,
- North China,
- night lights,
- spatial Markov chains,
- spatiotemporal geographic weighted regression model

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References(20)

References

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