光伏太阳能系统的采用意向

Álvaro José de Araújo Filgueira, A. Lima, J. Castelo
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引用次数: 1

摘要

目的-研究目的是分析住宅能源消费者中影响消费者并网光伏系统购买意愿的关键因素。设计/方法/方法-基于Korcaj等人(2014)的调查在巴西一个主要城市进行;直接获得有效回复209份。数据分析采用结构方程模型。研究发现:环境、财务和专制利益对整体利益的影响显著,行为控制结构对购买意愿的影响显著;然而,与之前的研究相反,感知到的社会利益并不是一个相关的影响。研究限制/影响-模型可靠性的弱点导致排除感知总成本结构,这反过来可以减少样本偏差,提高模型的可靠性,以及关于产品“太阳能光伏能源系统”的清晰度,因为没有使用文本;由于受访者对太阳能技术缺乏了解,这可能会留下一些没有答案的问题。实际意义-高购买力和高教育水平,加上有利的天气和地理位置,可能有助于该产品的前景。此外,为了促进技术在城市中的粘附性,需要增加效益,降低感知技术成本,并在参考群体中重视太阳能发电的重要性。社会影响-分析城市居民采用光伏系统意愿的影响因素有利于该技术在城市的进一步推广。原创性/价值-它有助于关于生态可持续技术(即gcps)的采用意图的消费者行为研究的发展,从而填补了关于该产品消费者行为的文献空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adoption intention of photovoltaic solar systems
Purpose – The research objective is to analyze the influence of key factors contributing to consumers’ purchase intention grid-connected photovoltaic systems among residential energy consumers. Design/methodology/approach – A survey based on Korcaj et al. (2014) was conducted in a major Brazilian city; 209 valid responses were obtained directly. Data was analyzed using structural equation modeling. Findings – Among significant decision influences are environmental, financial, and autarchy benefits onto perceived global benefit and perceived behavioral control construct onto purchase intention; perceived social benefits, however, were not a relevant influence as opposed to previous studies. Research limitations/implications - Weakness of the model's reliability leading to the exclusion of the perceived total cost construct, which in turn could reduce sample bias and increase the reliability of the model and regarding clarity regarding the product “solar photovoltaic energy system”, as no text was used; this could have left questions unanswered due to the lack of knowledge of respondents about solar technology. Practical implications - The high purchasing power and high education level, along with favorable weather and geography, may contribute to promising perspectives for the product. Furthermore, to promote adhesion of the technology in the city there is a need to increase benefits, to reduce perceived technology costs, and to value the importance of solar energy generation among reference groups. Social implications - The analysis of factors influencing the city’s residents’ intentions of to adopt photovoltaic systems favors further promotion of the technology in the city. Originality/value - It contributes to the development of consumer behavior studies regarding the adoption intention of ecologically sustainable technologies, i.e., GCPSs, thus, filling a gap in the literature on consumer behavior for this product.
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