The early adoption of green power by Dutch households - An empirical exploration of factors influencing the early adoption of green electricity for domestic purposes
The early adoption of green power by Dutch households - An empirical exploration of factors influencing the early adoption of green electricity for domestic purposes
复制标题
DOI：
10.1016/s0301-4215(03)00209-x
复制
发表时间：
2005-01-01
期刊：
影响因子：
9
通讯作者：
Oerlemans, L
中科院分区：
文献类型：
--
作者：
Arkesteijn, K;Oerlemans, L
本研究的结果提供了经验洞察荷兰住宅用户早期采用绿色电力的影响因素。早期的研究表明，早期采用与社会知名度密切相关，这在绿色电力的情况下是缺乏的。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。这项研究的贡献有三个方面。首先，我们使用了一个理论的角度来看，认知方法与经济方法相结合，导致一个更全面的框架。第二，以可再生资源的居民用户为重点的实证研究相对较新。第三，我们的分析结果提供了对影响早期（非）采用的因素的见解，这些知识对市场参与者和政府刺激采用可持续消费品可能是有价值的。在我们的理论框架中，我们区分了三组自变量：（1）技术系统，（2）个人和（3）经济问题。数据收集是在荷兰绿色电力市场自由化前一个月在家庭中进行的。创建住宅（非）用户的唯一数据库。我们的研究结果表明，所提出的扩展模型是更强大的部分模型。而且。我们的研究结果表明，认知和经济意向变量，以及变量表明基本知识和实际的环境行为在过去，是强有力的预测采用的概率。本文最后为从业人员提出了基于研究的建议。(C)2003爱思唯尔有限公司。保留所有权利。
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 I 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. (C) 2003 Elsevier Ltd. All rights reserved.