Spatio-temporal pattern and influencing factors of CO<sub>2</sub> emissions from energy consumption in the Yellow River Basin

ZHANG Jiali; WU Rongwei

doi:10.13205/j.hjgc.202512016

Volume 43 Issue 12

Dec. 2025

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ZHANG Jiali, WU Rongwei. Spatio-temporal pattern and influencing factors of CO2 emissions from energy consumption in the Yellow River Basin[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(12): 141-152. doi: 10.13205/j.hjgc.202512016

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ZHANG Jiali, WU Rongwei. Spatio-temporal pattern and influencing factors of CO₂ emissions from energy consumption in the Yellow River Basin[J]. ENVIRONMENTAL ENGINEERING , 2025, 43(12): 141-152. doi: 10.13205/j.hjgc.202512016

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Spatio-temporal pattern and influencing factors of CO₂ emissions from energy consumption in the Yellow River Basin

doi: 10.13205/j.hjgc.202512016

ZHANG Jiali¹,
WU Rongwei^{1,2
,
,}

1. School of Public Administration, Chongqing Technology and Business University, Chongqing 400067, China;
2. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China

Received Date: 2024-08-13
Accepted Date: 2024-10-13
Rev Recd Date: 2024-09-20

Available Online: 2026-01-09

Abstract

Abstract

The Yellow River Basin is an important ecological barrier and energy base in China. Promoting carbon emissions reduction in the Yellow River Basin is of great significance for China to achieve the Dual Carbon Goals. Utilizing energy consumption， population distribution data， and nighttime light data spanning 2000 to 2022 in the Yellow River Basin， this study estimated CO₂ emissions for prefecture-level administrative regions （referred to as cities）. The spatiotemporal pattern of per capita CO₂ emissions was analyzed using exploratory spatiotemporal data analysis （ESTDA） methods. Additionally， an extended STIRPAT model and panel data regression techniques were employed to identify factors influencing per capita CO₂ emissions in these cities. The findings indicate： 1） Per capita CO₂ emissions in the Yellow River Basin exhibit a spatial pattern with higher emissions in the middle reaches， and lower emissions in the upstream and downstream regions. 2） From 2000 to 2022， the spatiotemporal dynamics of per capita CO₂ emissions in cities of the Yellow River Basin generally remained stable with some local changes. The overall stability was reflected in the fact that， from 2000 to 2022， the spatiotemporal cohesion rate of per capita CO₂ emissions was 81.5%， with the dominant proportion not experiencing a change in the associated patterns. Local dynamics were reflected in the shift in spatial association structures of per capita CO₂ emissions in resource-based cities and some economically developed cities. Among the two types of spatiotemporal transitions， Type 1 （10.8%） > Type 2 （7.7%）， indicating that some cities in the Yellow River Basin have experienced spatial association lock-in for per capita CO₂ emissions. 3） The spatial panel regression results show that economic growth is positively correlated with per capita CO₂ emissions in the Yellow River Basin. Urbanization level， population size， the share of the tertiary industry in GDP， the share of fixed asset investment in GDP， and the share of total import and export value in GDP are negatively correlated with per capita CO₂ emissions. The relationship between the secondary industry’s value-added share in GDP and per capita CO₂ emissions remains uncertain. Additionally， the widespread spatial interaction among cities in the Yellow River Basin and the significant spatial lag effect positively promoted per capita CO₂ emissions. Therefore， when formulating low-carbon development strategies， regional differences and spatial interactions should be considered， and each province or region should develop targeted emission reduction policies based on its specific characteristics. The research findings provide decision-making references for deep cooperation and coordinated emission reduction across various regions of the Yellow River Basin， helping to promote ecological protection and high-quality development in the basin.
- per capita CO₂ emissions,
- prefecture level city,
- ESTDA,
- regional differences,
- the Yellow River Basin

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References(33)

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