黄河流域能源安全水平的动态演进、区域差异及空间关联性分析
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Dynamic Evolution, Regional Differences and Spatial Correlation Analysis of Energy Security Level in the Yellow River Basin
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    摘要:

    黄河流域是我国重要的能源供应基地,系统刻画黄河流域能源安全水平对于保障能源供应、提升能源效率、促进绿色能源消费、增强经济韧性具有重要意义。论文从供给安全、消费安全、绿色安全、经济安全构建能源安全指标体系,并采用熵值法对黄河流域2010—2021年8个省份的能源安全水平进行测度,在此基础上,采用核密度估计、Dagum基尼系数、空间莫兰指数等方法测度黄河流域能源安全水平的动态演进、区域差异和空间相关性。结果发现:研究期间黄河流域能源安全水平整体呈现上升趋势,山西省以及其所处的中游地区能源安全整体水平最高;黄河流域上游地区分异程度较大,区域间中下游地区差异较大,但能源安全不均衡现象逐渐减弱;黄河流域能源安全呈现空间正相关,各省份呈现不均衡现象,中游地区主要呈现“高高”聚集状态,其余省份主要呈现“低高”“低低”聚集状态。最后,从发挥地区优势、开发清洁能源、分散能源进口通道等方面提出建议。

    Abstract:

    The Yellow River Basin is an important energy supply base in China. Systematic characterization of the energy security level in the Yellow River Basin is of great significance for ensuring energy supply, improving energy efficiency, promoting green energy consumption, and enhancing economic resilience. An energy security indicator system was constructed from the perspectives of supply security, consumption security, green security and economic security. The entropy method was used to measure the energy security levels of eight provinces in the Yellow River Basin from 2010 to 2021. Based on this, methods such as kernel density estimation, Dagum Gini coefficient and spatial Moran index were used to measure the dynamic evolution, regional differences and spatial correlation of energy security levels in the Yellow River Basin. The results show that during the research period, the overall energy security level in the Yellow River Basin show an upward trend, with Shanxi Province and its middle reaches having the highest overall energy security level. The degree of differentiation in the upper reaches of the Yellow River Basin is significant, with significant differences in the middle and lower reaches between regions. However, the phenomenon of energy security imbalance is gradually weakening. The energy security in the Yellow River Basin shows a spatial positive correlation, with uneven distribution among provinces. The middle reaches mainly exhibit a “high high” clustering state, while the remaining provinces mainly exhibit a “low high” and “low low” clustering state. Finally, suggestions are proposed in terms of leveraging regional advantages, developing clean energy and diversifying energy import channels.

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王姝蕊.黄河流域能源安全水平的动态演进、区域差异及空间关联性分析[J].科技与产业,2025,25(02):190-197

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  • 在线发布日期: 2025-02-18
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