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首页> 外文期刊>Ecological Economics >What makes people seal the green power deal?: Customer segmentation based on choice experiment in Germany
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What makes people seal the green power deal?: Customer segmentation based on choice experiment in Germany

机译:是什么使人们达成了绿色电力协议?:基于德国的选择实验进行的客户细分

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摘要

Consumers have the power to contribute to creating a more sustainable future by subscribing to green electricity tariffs. In order to reach consumers 'beyond the eco-niche', identifying the drivers that positively influence the adoption of green electricity is of fundamental importance. This paper examines various factors that help to explain the extent to which green electricity subscribers differ from those that display strong preferences towards green electricity but have not yet 'walked the talk'. By making use of a latent class segmentation analysis based on choice-based conjoint data, this paper identifies three groups of potential green electricity adopters with varying degrees of preference for renewable energy. Findings indicate that socio-demographic factors play a marginal role in explaining the differences between green electricity subscribers and potential adopters, with the exception that actual adopters tend to be better educated. Analysis of psychographic and behavioral features reveals that adopters tend to perceive consumer effectiveness to be higher, place more trust in science, tend to estimate lower prices for green electricity tariffs, are willing to pay significantly more for other eco-friendly products and are more likely to have recently changed their electricity contract than non-adopters. Policy recommendations associated with these findings are provided.
机译:消费者有能力通过订阅绿色电价为创造更可持续的未来做出贡献。为了“超越生态位”吸引消费者,确定对绿色电力的采用产生积极影响的驱动因素至关重要。本文研究了各种因素,这些因素有助于解释绿色电力用户与那些对绿色电力表现出强烈偏好但尚未“走上正轨”的用户之间的差异。通过基于基于选择的联合数据的潜在类别细分分析,本文确定了三组潜在的绿色电力使用者,其对可再生能源的偏好程度不同。研究结果表明,社会人口因素在解释绿色电力用户和潜在采用者之间的差异方面起着边际作用,但实际采用者往往受过更好的教育。对心理和行为特征的分析表明,采用者倾向于认为消费者的有效性更高,对科学的信任程度更高,倾向于估计绿色电价的价格更低,愿意为其他环保产品支付更多的费用,并且更有可能与非采用者相比,最近改变了他们的电力合同。提供了与这些发现相关的政策建议。

著录项

  • 来源
    《Ecological Economics》 |2014年第11期|206-215|共10页
  • 作者单位

    University of St. Gallen, Institute for Economy and the Environment (IWOE-HSG), Good Energies Management of Renewable Energies, Tigerbergstrasse 2, CH-9000 St. Gollen, Switzerland;

    University of St. Gallen, Institute for Economy and the Environment (IWOE-HSG), Good Energies Management of Renewable Energies, Tigerbergstrasse 2, CH-9000 St. Gollen, Switzerland;

    University of St. Gallen, Institute for Economy and the Environment (IWOE-HSG), Good Energies Management of Renewable Energies, Tigerbergstrasse 2, CH-9000 St. Gollen, Switzerland;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Market segmentation; Choice-based conjoint analysis; Green electricity; Latent class analysis;

    机译:市场细分;基于选择的联合分析;绿色电力;潜在类别分析;

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