Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports

Quantifying the geopolitical dimension of energy risks: A tool for energy modelling and planning

“…12 The final selection of the variables for each risk vector seems to be technically correct because all KMO test values are quite high (between 0.74 and 0.86), and the Bartlett test indicates that the relations between variables are significant in all four dimensions.…”

“…Therefore, related variables such as total energy exports, energy imports and trade in energy products appear in different categories rather than in the same one, contrary to what might be expected. 12 The KMO consists of an index (between 0 and 1, with 1 indicating the highest sample adequacy) that indicates the intensity of the relation between variables and whether the variables share a latent common factor or not. The Bartlett sphericity test checks for significant correlations.…”

Assessing Energy Security Using Indicator-Based Analysis: The Case of ASEAN Member Countries

“…On the other hand, the indicator reflects the degree of concentration of import sources (partner country) in relation to total imports of an energy product. The inclusion of the assessment on energy-exporting countries is not commonly found in existing studies on energy security assessment, since most of them primarily focused on importing countries [16,33,[36][37][38][39]. Energy interdependence implies mutual costs to both importer and exporter.…”

基于复杂网络理论的中国石油流动格局及供应安全分析

“…， 促进石油资源和进口来源的多元化 [15][16][17] 成为石油进 口国能源安全政策的关键所在。构建单一或综合 指标对不同时期国家石油供应安全进行评价， 是石 油安全研究的常用方法 [18][19][20][21][22] 。石油脆弱性指标 [23] ， APERC综合指标 [24] ， 多元化指标 [14， 15] ， 供应风险指标 [25] ， 等被广泛用于石油安全研究。中国学者从地缘政 治视角重点关注石油战略运输通道， 主要石油来源 地及其政局变化对保障中国石油供应安全的影响 [26][27][28][29][30] 。 近年来，资源流动分析、 复杂网络理论等被引 入到石油供应分析之中。赵媛等对中国石油资源 省际流动格局及流场特征 [31] 、 形成机制 [32] 、 要素组合 关系 [33] 、 集中与离散趋势及其位移和形变特征 [34] [ 2 ] Salameh M G. China，oil and the risk of regional conflict [J]. Survival， 1995， 37 （4） ： 133-146.…”