气候变化领域集成服务门户(CCPortal): Investigating the nexus between energy, socio-economic factors and environmental pollution: A geo-spatial multi regression approach

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DOI	10.1016/j.gr.2024.02.007
	Investigating the nexus between energy, socio-economic factors and environmental pollution: A geo-spatial multi regression approach
	Bhatti, Uzair Aslam; Tang, Hao; Khan, Asad; Ghadi, Yazeed Yasin; Bhatti, Mughair Aslam; Khan, Khalid Ali
发表日期	2024
ISSN	1342-937X
EISSN	1878-0571
起始页码	130
卷号	130
英文摘要	The Yellow River Basin (YRB) and Yangtze River Basin (YZRB) stand as pivotal regions in China, holding paramount importance in both economic development and environmental security. However, the rapid pace of climate change and extensive human activities have dramatically reshaped these areas, leading to substantial alterations in natural landscapes and urban ecosystems. To ensure sustainable socioeconomic growth, a profound understanding of the intricate interplay between socioeconomic factors and the emission of fine particulate matter (FPM) is imperative, along with an exploration of the underlying mechanisms governing these relationships. n this comprehensive study, we conducted spatial autocorrelation and spatial panel regression analyses, leveraging panel data encompassing the years from 2002 to 2021, derived from provincial -level administrative units within the YZRB and YRB. By adopting a holistic approach that considers comprehensive features and spatial effects, our research contributes substantively to the existing literature concerning the YZRB and YRB areas. Our analysis unveiled a notable decline in pollutant emissions over the course of the study period, yet it became evident that socioeconomic and energy -related factors continued to exert significant influence on FPM levels. Furthermore, we identified pronounced positive spatial autocorrelations in FPM emissions, suggesting a need for regionally tailored environmental management strategies. Employing various statistical tests, we rigorously examined the spatial autocorrelation patterns among the regions. Results from our random effect regression model and Geographically Weighted Regression (GWR) approach underscored the significant impact of socioeconomic and natural factors on FPM concentrations. Importantly, the magnitudes of these impacts exhibited variations contingent upon the specific river basin type. Within the YZRB, our findings emphasize the relevance of urbanization metrics, such as urban population, urban green space, Gross Domestic Product (GDP), and economic spending, which displayed positive and statistically significant relationships with FPM concentrations. Conversely, in the YRB, the utilization of energy resources and natural assets emerged as pivotal determinants. (c) 2024 International Association for Gondwana Research. Published by Elsevier B.V. All rights reserved.
英文关键词	Fine Particulate Matter; Yangtze River Basin; Yellow River Basin; Spatial econometric analysis; Socioeconomic factors
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:001201898900001
来源期刊	GONDWANA RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/304433
作者单位	Hainan University; Guangzhou University; Nanjing Normal University; Nanjing Normal University; Hainan University; King Khalid University; King Khalid University
推荐引用方式 GB/T 7714	Bhatti, Uzair Aslam,Tang, Hao,Khan, Asad,et al. Investigating the nexus between energy, socio-economic factors and environmental pollution: A geo-spatial multi regression approach[J],2024,130.
APA	Bhatti, Uzair Aslam,Tang, Hao,Khan, Asad,Ghadi, Yazeed Yasin,Bhatti, Mughair Aslam,&Khan, Khalid Ali.(2024).Investigating the nexus between energy, socio-economic factors and environmental pollution: A geo-spatial multi regression approach.GONDWANA RESEARCH,130.
MLA	Bhatti, Uzair Aslam,et al."Investigating the nexus between energy, socio-economic factors and environmental pollution: A geo-spatial multi regression approach".GONDWANA RESEARCH 130(2024).