Esquivel García Claudia Lorena, Toro-García Guillermo León
Javeriana University, Faculty of Humanities and Social Sciences, Department of Legal and Political Science, Calle 18 No. 118-250, Cali, Colombia.
Heliyon. 2024 Jul 10;10(14):e34395. doi: 10.1016/j.heliyon.2024.e34395. eCollection 2024 Jul 30.
This article aims to measure energy poverty in Colombia in its thirty-two departments and its capital city from 2018 to 2022, using a composite approach. To achieve this, a Multidimensional Energy Poverty Index (MEPI) was designed, according to the methodology proposed by Nussbaumer et al. (2012; 2013) [1,2]. Twenty-eight variables were used, which were distributed across seven dimensions, and recorded by the National Quality of Life Survey (ECV, Spanish acronym), administered by the National Administrative Department of Statistics (DANE) of Colombia. In addition, a nested weighting method was used to assign weights within the index. Subjective weights were given to the dimensions, and an entropy method was used for each of the component variables. The results show that energy poverty has an increasing trend in Colombia throughout the period, especially in the municipal capitals. There are significant differences between urban and rural areas in all territories, and the departments located in the most remote areas of the country have a higher energy poverty. This is consistent with the low population density, as well as with off-grid areas. The results obtained will allow decision makers to conduct a preliminary evaluation of the management and effects of the specific public policy programs and plans that have been implemented in the different territories of the country.
本文旨在采用综合方法衡量2018年至2022年期间哥伦比亚32个省及其首都的能源贫困状况。为此，根据努斯鲍默等人（2012年；2013年）[1,2]提出的方法设计了多维能源贫困指数（MEPI）。使用了28个变量，这些变量分布在七个维度上，并由哥伦比亚国家统计局（DANE）管理的全国生活质量调查（ECV，西班牙语缩写）记录。此外，采用了嵌套加权方法在指数内分配权重。各维度赋予主观权重，每个组成变量采用熵值法。结果表明，在此期间哥伦比亚的能源贫困呈上升趋势，尤其是在各市镇首府。所有地区的城乡之间存在显著差异，该国最偏远地区的省份能源贫困程度更高。这与低人口密度以及离网地区情况一致。所获得的结果将使决策者能够对在该国不同地区实施的具体公共政策方案和计划的管理及效果进行初步评估。
