多维能源贫困:对印度尼西亚的测量,分解和决定因素的研究
Rofiq Nur Rizal1,2, Djoni Hartono1,3, Teguh Dartanto1,4
1Department of Economics, Faculty of Economics and Business, Universitas Indonesia, Depok, Jawa Barat, Indonesia.
Heliyon
|February 6, 2024
概括
印尼家庭面临着多维的能源贫困,主要是由于缺乏现代服务. 虽然发病率下降了,但贫困强度仍然很高,这凸显了改善能源获取和负担能力的有针对性的政策的需要.
科学领域:
- 能源经济学 能源经济学
- 贫困研究 贫困研究
- 可持续发展 可持续发展 可持续发展
背景情况:
- 多维能源贫困指数 (MEPI) 对于理解收入之外的能源获取至关重要.
- 评估能源贫困需要评估现代能源服务的可用性,可访问性和可负担性.
- 现有的负担能力指标需要进行比较,以进行可靠的贫困衡量.
研究的目的:
- 估计印尼家庭的多维能源贫困指数 (MEPI).
- 分析能源贫困的发生率,强度,分解和时间变化.
- 确定导致能源贫困的关键社会经济,人口和地理因素.
主要方法:
- 采用了阿尔基尔-福斯特的多维贫困概念.
- 用于评估能源服务的货币和非货币变量.
- 应用Logit,Probit,Tobit和Heckman选择模型进行因子分解.
- 通过各种加权方案和剥夺切线进行了强度和灵敏度测试.
主要成果:
- 低收入和高成本 (LIHC) 指标是最强大的负担能力指标.
- 补充频率权重产生了最小和最强大的MEPI.
- 能源贫困发生率下降,但强度仍然很高,并且增加,家庭被剥夺了55%至60%的指标.
- 缺乏现代服务是能源贫困的主要驱动因素.
结论:
- 根据地理位置和家庭主人的特点 (性别,教育,商业,就业) 的不同,MEPI有很大差异.
- 专注于教育,收入和现代技术的有针对性的政策至关重要.
- 干预措施应优先考虑农村,内陆和印度尼西亚东部地区,以减少多维能源贫困.
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