Hangzhou Dianzi University, School of Management, Hangzhou 310018, China.
Hangzhou Dianzi University, School of Management, Hangzhou 310018, China.
Sci Total Environ. 2019 Dec 15;696:133817. doi: 10.1016/j.scitotenv.2019.133817. Epub 2019 Aug 8.
As the world's largest energy production and demand country, China's energy security is a hot issue concerned by the whole society. Most existing research focused on China's energy security performance from the point of view of the country. But, as a huge geographical country, provinces energy security performance varies hugely in different regions. So, this paper aims at evaluating Chinese provinces energy security, analyzing reasons and providing policy implications. Firstly, a comprehensive evaluation criteria system, including four dimensions: energy supply, energy using, energy economy and energy environment, is proposed. The criteria consist of 14 indicators. Secondly, Mahalanobis-Taguchi Gram-Schmidt is presented to obtain criteria weights, which not only considers subjective and objective information, but also eliminates the overlap information in criteria. Thirdly, considering that TOPSIS method ignores the correlation between the two distances (alternatives to ideal and to negative ideal), an improved TOPSIS model with set pair analysis is proposed to assess the China's regional energy security performance from 2013 to 2017. From the results, 30 provinces' energy security performance improves in general, but there is still a huge gap among different regions. The north reaches of yellow river and northwest regions are the most energy-secure, while the northeast and central regions are least energy-secure. SHAANXI, INNERMONGOLIA and SHANXI are always top three in the ranking, while the energy security performance of NINGXIA is the lowest.
作为世界上最大的能源生产国和消费国，中国的能源安全是全社会关注的热点问题。大多数现有研究从国家角度关注中国的能源安全状况。但是，作为一个幅员辽阔的国家，各省的能源安全状况在不同地区差异巨大。因此，本文旨在评估中国各省份的能源安全状况，分析原因并提出政策建议。首先，提出了一个包括能源供应、能源利用、能源经济和能源环境四个维度的综合评价指标体系，该体系由 14 个指标组成。其次，提出了马氏距离-田口 Gram-Schmidt 法来获取指标权重，该方法不仅考虑了主观和客观信息，而且消除了指标之间的重叠信息。第三，考虑到 TOPSIS 方法忽略了两个距离（与理想和负理想的距离）之间的相关性，提出了一种基于集对分析的改进 TOPSIS 模型来评估 2013 年至 2017 年中国各地区的能源安全状况。结果表明，30 个省份的能源安全状况普遍有所改善，但不同地区之间仍存在巨大差距。黄河以北和西北地区的能源安全性最高，而东北地区和中部地区的能源安全性最低。陕西、内蒙古和山西一直位列前三，而宁夏的能源安全性能最低。
