Energy Poverty and Its Determinants at Subnational Level of Indonesia in 2021

Salbila Anandia Ramadanti, Wahyuni Andriana Sofa
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Abstract

In the coming decades, the energy sector will soon be faced with three major transformations, one of which is energy poverty. The World Economic Forum defines energy poverty as people's limited access to modern energy services and products. Access to modern energy has not been fully met for all regions in Indonesia and disparities between regions still occur. For this reason, indicators are needed to measure the level of energy poverty at both the national and district/city levels. This study aims to analyze energy poverty in Indonesia and determine its determinants using the Multidimensional Energy Poverty Index (MEPI) approach. The data used is the March National Socio-Economic Survey and BPS Village Potential in 2021. This research uses Geographically Weighted Regression (GWR) to determine the determinants of Indonesia's multidimensional energy poverty at the district/city level in 2021. It was found that there were still inequalities in energy poverty conditions in most of Indonesia's districts/cities. Analysis using the GWR model resulted in 66 regional groups that were grouped based on the similarity of variables that had a significant effect. The level of influence of the independent variables vary across districts/cities as consequence of spatial heterogeneity in the data.
2021 年印度尼西亚国家以下各级的能源贫困及其决定因素
未来几十年,能源行业即将面临三大转变,其中之一就是能源贫困。世界经济论坛将能源贫困定义为人们获得现代能源服务和产品的机会有限。印尼并非所有地区都能完全获得现代能源,地区之间仍存在差距。因此,需要制定指标来衡量国家和地区/城市层面的能源贫困水平。本研究旨在使用多维能源贫困指数(MEPI)方法分析印尼的能源贫困状况并确定其决定因素。使用的数据是 2021 年 3 月全国社会经济调查和 BPS 乡村潜力调查。本研究采用地理加权回归法(GWR)来确定 2021 年印度尼西亚县/市级多维能源贫困的决定因素。研究发现,印尼大部分地区/城市的能源贫困状况仍不平等。使用 GWR 模型进行分析后,根据具有显著影响的变量的相似性,划分出 66 个地区组。由于数据的空间异质性,自变量对不同地区/城市的影响程度各不相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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