Chengde Medical University, Chengde, China.
School of Tourism, Hospitality and Event Management, Universiti Utara Malaysia, Sintok, 06010, Malaysia.
Environ Sci Pollut Res Int. 2021 Aug;28(30):40858-40870. doi: 10.1007/s11356-021-13605-2. Epub 2021 Mar 26.
This work aims to assess multidimensional energy poverty and energy efficiency for environmental policy measures using data envelopment analysis (DEA), a DEA-Like mathematical composite indicator applied on a dataset based on multiple sets of variables from South Asian economies. The multidimensional energy poverty index (MEPI) is computed to analyze the combining effects and energy poverty in these countries. Simultaneously, South Asia's metropolitan areas' population rose by 130 million between 2001 and 2011 and is projected to expand by approximately 250 million by 2030. The findings reveal that endogenous increasing population shocks account for about 72% of energy use. In contrast, the long-term effects of remittance revenue, economic growth, and urbanization on energy use are approximately 20%, 8.25%, and 0.03%, respectively. This work advocates more coordinated and innovative policies to eliminate energy poverty. It can act as a base for policymakers and government officials to make efficient policies and enforce them properly in the regional power sector. Policies should be designed around a smarter use of biomass for cooking, alternate sources for domestic energy production, increased programs for biomass-based cookstoves, and periodic regional-level energy database development.
本研究旨在利用数据包络分析（DEA）评估南亚经济体多维能源贫困和能源效率，以评估环境政策措施。该方法应用了一种基于多组变量的 DEA 类数学综合指标。多维能源贫困指数（MEPI）用于分析这些国家的综合影响和能源贫困。同时，2001 年至 2011 年，南亚大都市地区的人口增长了 1.3 亿，预计到 2030 年将增长约 2.5 亿。研究结果表明，内生人口冲击约占能源使用的 72%。相比之下，汇款收入、经济增长和城市化对能源使用的长期影响分别约为 20%、8.25%和 0.03%。本研究提倡采取更协调和创新的政策来消除能源贫困。它可以作为政策制定者和政府官员的基础，在区域电力部门制定和有效执行高效政策。政策应围绕更智能地利用生物质用于烹饪、家庭能源生产的替代来源、增加生物质炉灶计划以及定期开发区域能源数据库来制定。
