Energy Poverty Questionnaire

The dataset investigates the role of sustainable supply chain practices in alleviating energy poverty in developing countries. It was collected through a structured survey targeting stakeholders, including supply chain managers, energy providers, policymakers, and community leaders, to explore the interplay between supply chain practices, community integration, and energy poverty alleviation. The data provides empirical insights into the implementation and sustainability of renewable energy systems, focusing on critical practices such as local sourcing, logistics efficiency, community engagement, and environmental sustainability.

Key constructs were measured using a validated 5-point Likert scale and analyzed through Exploratory and Confirmatory Factor Analysis (EFA and CFA) to ensure reliability and validity. The study employs Necessary Condition Analysis (NCA) to identify essential supply chain practices that are indispensable for achieving effective energy access. The analysis highlights the minimum thresholds required for factors such as efficient logistics, regular maintenance, community involvement, and training programs to significantly impact energy poverty outcomes.

The dataset’s findings have significant implications for policy and practice, offering a robust framework to guide investments in supply chain logistics, capacity building, and community integration. By emphasizing indispensable supply chain elements and identifying critical bottlenecks, the research provides a foundation for targeted strategies to enhance the delivery and sustainability of renewable energy systems in underserved regions. This study contributes to the growing literature on sustainable supply chains by providing actionable insights into their role as catalysts for energy poverty alleviation.

本数据集深入探究了可持续供应链实践在缓解发展中国家能源贫困中的作用。数据收集通过针对利益相关者的结构化调查完成，包括供应链管理者、能源提供商、政策制定者和社区领袖，旨在探讨供应链实践、社区融合与能源贫困缓解之间的相互作用。数据提供了关于可再生能源系统实施与可持续性的实证洞察，重点关注如本地采购、物流效率、社区参与和环境保护等关键实践。通过验证的五点李克特量表对关键结构进行测量，并通过探索性因素分析（EFA）和验证性因素分析（CFA）进行分析，以确保可靠性和有效性。研究采用必要条件分析（NCA）来识别对于实现有效能源获取不可或缺的供应链实践。分析突出了对高效物流、定期维护、社区参与和培训计划等因素的最低阈值要求，以显著影响能源贫困的成果。数据集的发现对政策和实践具有重大意义，提供了一个坚实的框架，以指导对供应链物流、能力建设和社区融合的投资。通过强调不可或缺的供应链要素并识别关键瓶颈，研究为针对战略提供了基础，旨在提升欠发达地区可再生能源系统的交付与可持续性。本研究通过提供关于可持续供应链作为能源贫困缓解催化剂的实际行动见解，为可持续供应链领域的日益增长的文献做出了贡献。