Zhou Kui, Wang Yinsu, Hussain Jamal
The West Centre for Economics Research, Southwestern University of Finance and Economics, 55, Guanghuacun Street, Chengdu, 611130 China.
Department of Economics, Karakoram International University, Gilgit, Pakistan.
Energy Effic. 2022;15(7):46. doi: 10.1007/s12053-022-10055-8. Epub 2022 Aug 22.
The Belt and Road Initiative (BRI) countries are mainly developing countries with severe energy poverty. This study combines the entropy weight and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to measure energy poverty at the household, enterprise, and national levels in 82 BRI countries. This study aims to investigate and discuss how to encourage BRI countries to develop effective decision-making mechanisms for developing more targeted supply-side solutions to domestic energy poverty. A geographic information system (GIS) is also used to construct spatial distribution maps to assess energy poverty. The findings show that countries in South Asia, Southeast Asia, and North Africa have the highest levels of energy poverty, while countries in West Asia and Europe have the lowest. East Timor, Tonga, and Equatorial Guinea are of the most extremely lowest. The assessment methodology used in this paper focuses not only on the energy poverty faced by households, but also on the overall energy supply and service situation at the enterprise and national levels. These perspectives are likely to influence policy making and help the governments in addressing domestic energy poverty more effectively from the supply side.
“一带一路”倡议国家主要是能源贫困严重的发展中国家。本研究结合熵权法和逼近理想解排序法（TOPSIS法），对82个“一带一路”国家的家庭、企业和国家层面的能源贫困状况进行测度。本研究旨在调查和讨论如何鼓励“一带一路”国家制定有效的决策机制，以制定更具针对性的国内能源贫困供应侧解决方案。还利用地理信息系统（GIS）构建空间分布图，以评估能源贫困状况。研究结果表明，南亚、东南亚和北非国家的能源贫困程度最高，而西亚和欧洲国家的能源贫困程度最低。东帝汶、汤加和赤道几内亚的能源贫困程度极其最低。本文采用的评估方法不仅关注家庭面临的能源贫困，还关注企业和国家层面的整体能源供应和服务状况。这些观点可能会影响政策制定，并有助于各国政府从供应侧更有效地解决国内能源贫困问题。
