Community-led solar energy technology adoption in rural Zambia: The role of observational learning and neighbor influence

IF 7.4 2区 经济学 Q1 ENVIRONMENTAL STUDIES Energy Research & Social Science Pub Date : 2025-04-01 Epub Date: 2025-02-17 DOI:10.1016/j.erss.2025.103972
Hillary Chanda , Eugene Mohareb , Michael Peters , Chris Harty
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Abstract

Solar PV technology holds significant potential for addressing energy access issues in rural Zambia. However, adoption rates remain low despite numerous interventions. This study explores the impact of community-based interventions, leveraging local networks, individual benefits, and peer consultation, on accelerating PV adoption and willingness to pay. The primary aim is to understand how social and individual benefits influence PV adoption intention and examine the relationship between visual exposure to solar technology and adoption intention. The research seeks to inform policies and interventions that promote sustainable energy access and socio-economic development in rural Zambia and similar contexts. Over 6 months, a qualitative study was conducted involving 58 interviews, 7 focus group discussions, pictorial evidence, and observational techniques. The study engaged 120 rural subsistence farmers and 16 commercial farmers across three regions of Zambia, using five local languages. The research employed the Rural Development Stakeholder Hybrid Adoption Model (RUDSHAM) that was developed for this research, which combines the Theory of Planned Behavior (TPB), the Technology Acceptance Model (TAM), and Diffusion of Innovations (DOI) theory. Findings reveal that shifting individual and community mindsets is crucial for project sustainability. Emphasizing individual benefits leads to broader community advantages as participation increases. Additionally, PV adoption and willingness to pay can be catalysed through systematic knowledge dissemination and leveraging peer and social influence. The study highlights the need for donors to deepen their understanding of poverty to make effective interventions. These insights provide a foundation for developing targeted strategies to enhance PV adoption in rural settings.
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赞比亚农村社区主导的太阳能技术采用:观察学习和邻居影响的作用
太阳能光伏技术在解决赞比亚农村地区的能源获取问题方面具有巨大潜力。然而,尽管有许多干预措施,采用率仍然很低。本研究探讨了以社区为基础的干预措施,利用当地网络、个人利益和同行协商,对加速光伏采用和支付意愿的影响。主要目的是了解社会和个人利益如何影响光伏采用意愿,并检查太阳能技术的视觉暴露与采用意愿之间的关系。这项研究旨在为政策和干预措施提供信息,以促进赞比亚农村和类似背景下的可持续能源获取和社会经济发展。在6个多月的时间里,进行了一项定性研究,包括58次访谈、7次焦点小组讨论、图片证据和观察技术。这项研究涉及赞比亚三个地区的120名农村自给农民和16名商业农民,使用五种当地语言。本研究采用了为本研究开发的农村发展利益相关者混合采用模型(RUDSHAM),该模型结合了计划行为理论(TPB)、技术接受模型(TAM)和创新扩散理论(DOI)。研究结果表明,改变个人和社区的心态对项目的可持续性至关重要。随着参与的增加,强调个人利益会带来更广泛的社区利益。此外,光伏的采用和支付意愿可以通过系统的知识传播和利用同行和社会影响力来促进。这项研究强调,捐助者需要加深对贫困的理解,以便采取有效的干预措施。这些见解为制定有针对性的战略以提高光伏在农村地区的采用提供了基础。
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来源期刊
Energy Research & Social Science
Energy Research & Social Science ENVIRONMENTAL STUDIES-
CiteScore
14.00
自引率
16.40%
发文量
441
审稿时长
55 days
期刊介绍: Energy Research & Social Science (ERSS) is a peer-reviewed international journal that publishes original research and review articles examining the relationship between energy systems and society. ERSS covers a range of topics revolving around the intersection of energy technologies, fuels, and resources on one side and social processes and influences - including communities of energy users, people affected by energy production, social institutions, customs, traditions, behaviors, and policies - on the other. Put another way, ERSS investigates the social system surrounding energy technology and hardware. ERSS is relevant for energy practitioners, researchers interested in the social aspects of energy production or use, and policymakers. Energy Research & Social Science (ERSS) provides an interdisciplinary forum to discuss how social and technical issues related to energy production and consumption interact. Energy production, distribution, and consumption all have both technical and human components, and the latter involves the human causes and consequences of energy-related activities and processes as well as social structures that shape how people interact with energy systems. Energy analysis, therefore, needs to look beyond the dimensions of technology and economics to include these social and human elements.
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