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The early adoption of green power by Dutch households An empirical exploration of factors influencing the early adoption of green electricity for domestic purposes

机译:荷兰家庭早期采用绿色电力对影响家庭早期采用绿色电力的因素的经验探索

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The results of this study provide empirical insight into factors influencing the early adoption of green electricity by Dutch residential users. Earlier research revealed that early adoption is closely related to social visibility, which is lacking in the case of green power. This raises the question of which factors influence adoption in the absence of visibility. The contributions of this study are threefold. First, we used a theoretical perspective in which a cognitive approach was combined with an economic approach leading to a more comprehensive framework. Second, the empirical focus on residential users of renewable resources is relatively new. Third, the results of our analyses provide insights into factors influencing early (non-)adoption, knowledge which could be valuable to market actors and governments stimulating the adoption of sustainable consumer products. For our theoretical framework, we distinguished three sets of independent variables: factors related to (1) the technical system, (2) individuals, and (3) economic issues. Data collection took place among households just 1 month before the liberalisation of the Dutch green electricity market, creating a unique database of residential (non-)users. Our results show that the proposed extended model is more powerful than partial models. Moreover, our findings suggest that cognitive and economic intentional variables, as well as variables indicating basic knowledge and actual environmental behaviour in the past, are strong predictors of the probability of adoption. The paper closes with research-based recommendations for practitioners.
机译:这项研究的结果提供了对影响荷兰居民用户早期采用绿色电力的因素的经验性见解。较早的研究表明,早期采用与社会知名度密切相关,而绿色力量则缺乏社会知名度。这就提出了一个问题,即在缺乏可见性的情况下哪些因素会影响采用。这项研究的贡献是三方面的。首先,我们使用了一种理论观点,其中认知方法与经济方法相结合,从而形成了更全面的框架。其次,对可再生资源的居民用户的实证研究相对较新。第三,我们的分析结果可洞悉影响早期(非)采用的因素,对市场参与者和政府鼓励采用可持续消费产品的政府可能有价值的知识。对于我们的理论框架,我们区分了三组独立变量:与(1)技术体系,(2)个人和(3)经济问题相关的因素。在荷兰绿色电力市场开放之前仅一个月,就在家庭中进行了数据收集,从而建立了一个独特的居民(非)用户数据库。我们的结果表明,提出的扩展模型比部分模型更强大。此外,我们的发现表明,认知和经济目的变量以及过去指示基本知识和实际环境行为的变量是采用概率的有力预测指标。本文以针对研究人员的基于研究的建议作为结尾。

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