Applying GeoDetector to disentangle the contributions of the 4-As evaluation indicators to the spatial differentiation of coal resource security. (February 2023)

• Record Type: Journal Article
• Authors: Xue, Liming; Li, Huaqing; Shen, Wenlong; Zhao, Xiangyi; Liu, Zhe; Zheng, Zhixue; Hu, Jie; Meng, Shuo
• Is Part Of: Energy policy. Volume 173(2023)
• Publication Date: 2023-02
• Subjects: Coal resource security -- Evaluation indicators -- 4-As framework -- Spatial differentiation -- GeoDetector -- The Yellow River basin; Energy policy -- Periodicals; Politique énergétique -- Périodiques; Electronic journals; 333.79
• DOI: 10.1016/j.enpol.2023.113418
• Languages: English
• ISSNs: 0301-4215

Abstract

Abstract: The detection and attribution of spatial differentiation in coal resource security (CRS) is a prerequisite for energy governance and regional scientific decision-making. Here we constructed a 4-As framework for CRS evaluation and screened indicators, evaluated the CRS of 598 counties in the Yellow River Basin (YRB) in 2017 through the entropy-cloud model, analyzed the spatial autocorrelation of CRS, and quantified the effects of 4-As indicators on CRS using the GeoDetector method. We discovered that (1) the spatial pattern of CRS is highly consistent with the basic geographic pattern. The coal resource security indexes (CRSIs) have apparent spatial differentiation. CRS shows differences in coal endowment and circulation, supplemented by differences in economic activities and environmental impacts. (2) The CRSIs have spatial autocorrelation, and the overall agglomeration trend is apparent. Due to coal development and administrative attributes differences, the CRSI shows different agglomeration types in each county. (3) Degree in coal aggregation, etc., are the dominant indicators for spatial differentiation of CRS in the whole basin of the YRB. The factor driving forces are significantly different. The driving force of two-factor interaction is more vital than that of single-factor interaction, and the interaction type is mainly nonlinear enhancement. Highlights: A 4-As based coal resource security evaluation index system was constructed. GeoDetector is first used to disentangle the contributions of indicators to spatial differentiation. The spatial pattern of coal resource security is consistent with the basic geographic pattern. County coal resource security generally shows a trend of agglomeration, but with different types. Coal reserves, water stress index, etc., are the dominant factors for spatial differentiation.