Understanding the variability of residential energy poverty in India

IF 3.8 3区 经济学 Q3 ENERGY & FUELS
Biswajit Tikadar, Deepika Swami
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引用次数: 0

Abstract

Residential energy poverty is the lack of accessible, reliable, clean energy services. Researchers have not reached a consensus about defining and measuring energy poverty, leading to ineffective energy-related policy formulation. Existing approaches simplify energy poverty to a "yes-no" approach, neglecting its multidimensional nature. The subjective parameters and thresholds used further introduce uncertainty and bias. We addressed this gap by formulating a comprehensive Residential Energy Poverty Index (REPI) for Indian states by adopting a multidimensional approach, including clean and green energy, energy efficiency, accessibility and reliability, and appliances. The current approach focuses on energy availability beyond basic needs and should look at the broader dimensions of quality of life, socioeconomic well-being, education, and environmental sustainability. The work is based on the Indian residential energy survey conducted by CEEW, which included 14,850 households across 21 Indian states. REPI was constructed by assigning weightage to different variables across four dimensions using Principal Component Analysis. Multiple Linear Regression was utilized to identify the socioeconomic factors impacting REPI.
Findings reveal that enhancing energy efficiency and decentralized solar power, particularly in states like Chhattisgarh and Jharkhand, can significantly improve energy access and reliability. Factors such as primary education and female-headed households correlate with lower energy poverty, while poor housing, rural areas, marginal groups, and primary economic activities like agriculture correlate with higher energy poverty. The findings highlight the importance of tailored state-specific policies like decentralized renewable energy, energy cleanliness and awareness campaigns to address residential energy poverty in India.

Abstract Image

了解印度居民能源贫困的可变性
住宅能源贫困是指缺乏可获得的、可靠的、清洁的能源服务。研究人员还没有就能源贫困的定义和衡量达成共识,导致能源相关政策的制定无效。现有的方法将能源贫困简化为一种“是-否”的方法,忽视了它的多维性。使用的主观参数和阈值进一步引入不确定性和偏差。我们通过采用包括清洁和绿色能源、能源效率、可及性和可靠性以及家电在内的多维方法,为印度各邦制定了全面的住宅能源贫困指数(REPI),解决了这一差距。目前的方法侧重于基本需求之外的能源供应,应该着眼于生活质量、社会经济福祉、教育和环境可持续性等更广泛的维度。这项工作是基于CEEW进行的印度住宅能源调查,该调查包括印度21个邦的14850户家庭。REPI是通过使用主成分分析对四个维度上的不同变量分配权重来构建的。利用多元线性回归分析影响再投资的社会经济因素。研究结果显示,提高能源效率和分散太阳能发电,特别是在恰蒂斯加尔邦和贾坎德邦等邦,可以显著改善能源获取和可靠性。初级教育和女性户主家庭等因素与较低的能源贫困率相关,而贫困住房、农村地区、边缘群体和农业等初级经济活动与较高的能源贫困率相关。研究结果强调了为解决印度居民能源贫困问题而量身定制的各州具体政策的重要性,如分散的可再生能源、能源清洁和提高认识运动。
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来源期刊
Utilities Policy
Utilities Policy ENERGY & FUELS-ENVIRONMENTAL SCIENCES
CiteScore
6.80
自引率
10.00%
发文量
94
审稿时长
66 days
期刊介绍: Utilities Policy is deliberately international, interdisciplinary, and intersectoral. Articles address utility trends and issues in both developed and developing economies. Authors and reviewers come from various disciplines, including economics, political science, sociology, law, finance, accounting, management, and engineering. Areas of focus include the utility and network industries providing essential electricity, natural gas, water and wastewater, solid waste, communications, broadband, postal, and public transportation services. Utilities Policy invites submissions that apply various quantitative and qualitative methods. Contributions are welcome from both established and emerging scholars as well as accomplished practitioners. Interdisciplinary, comparative, and applied works are encouraged. Submissions to the journal should have a clear focus on governance, performance, and/or analysis of public utilities with an aim toward informing the policymaking process and providing recommendations as appropriate. Relevant topics and issues include but are not limited to industry structures and ownership, market design and dynamics, economic development, resource planning, system modeling, accounting and finance, infrastructure investment, supply and demand efficiency, strategic management and productivity, network operations and integration, supply chains, adaptation and flexibility, service-quality standards, benchmarking and metrics, benefit-cost analysis, behavior and incentives, pricing and demand response, economic and environmental regulation, regulatory performance and impact, restructuring and deregulation, and policy institutions.
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