Research on the Spatiotemporal Differentiation Characteristics and Influencing Factors of Carbon Emissions from County-level Units in Ecological Security Barrier Areas under the “Dual Carbon Target”

Abstract

Abstract: Based on panel data of county-level carbon emissions in the Yellow River Basin from 2000 to 2021, this article uses spatial correlation analysis and geographic detector analysis to explore the spatiotemporal evolution pattern and influencing factors of county-level carbon emissions in the Yellow River Basin. The research results show that the total carbon emissions of counties in the Yellow River Basin have continuously increased from 2000 to 2021, with Inner Mongolia Autonomous Region and Henan Province ranking first in carbon emissions, and Qinghai Province ranking last. The average annual growth rate of carbon emissions shows an overall trend of "Upstream improvement, middle and downstream maintenance". The high carbon emission high concentration areas (H-H) in counties of the Yellow River Basin are mainly distributed in the middle and lower reaches of the Yellow River Basin, represented by Qingzhou City, Ruzhou City, and Guyang County, and exhibit a high carbon emission concentration characteristic of "clustered" distribution along both banks of the basin along the Yellow River Basin; The Low Low Agglomeration Areas (L-L) are mainly concentrated in the upper and middle reaches of the Yellow River Basin, represented by Diebu County, Dangchang County, and Yijun County. The level of fixed assets investment has the greatest impact on the upstream and downstream counties of the Yellow River basin, and the development level of the secondary industry has the greatest impact on the middle reaches of the Yellow River basin.

Key words: county level carbon emissions, ESDA data analysis method, yellow river basin, geographic detector method

CLC Number:

F270.4

ZHANG Yongfang. Research on the Spatiotemporal Differentiation Characteristics and Influencing Factors of Carbon Emissions from County-level Units in Ecological Security Barrier Areas under the “Dual Carbon Target”[J]. Journal of Guizhou University of Finance and Economics, 2025(02): 94-102.

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