Exploring the links between community-based governance and sustainable energy use: Quantitative evidence from Flanders

Exploring the links between community-based governance and sustainable energy use: Quantitative evidence from Flanders
复制标题

探索基于社区的治理与可持续能源利用之间的联系:来自法兰德斯的定量证据

DOI:
10.1016/j.ecolecon.2017.03.006
复制
发表时间:
2017
影响因子:
7
通讯作者:
Bauwens T
Bauwens T
中科院分区:
经济学2区
文献类型:
--
作者:
Bauwens T

文献摘要

相似文献

据说,社区能源组织通过激活社会规范和提供有关可持续能源投资和行为的可靠信息,影响其成员的能源相关行为。然而,人们对成员的实际能源使用情况及其与不参加这些项目的个人的能源使用情况有何不同知之甚少。特别是,可能会产生选择效应,即社区能源项目可能会吸引在能源使用方面不同于基本人口的人。本文以可再生能源合作社为例,从能源使用的角度实证分析了社区能源项目的选择问题。根据定量数据从一个可再生能源合作社在弗兰德斯进行的原始调查,并使用概率单位回归分析,它对比了一个样本的合作社成员与一个适当的比较组的用电量。结果表明,电力消费量与合作社成员资格呈正相关,这表明高使用消费者有更大的动机加入一个社区为基础的组织,提供援助和建议,通过绿色技术和能源效率的措施。这些调查结果有助于了解社区治理与可持续能源做法之间的关系。
Community-based energy organizations have been said to influence their members' energy-related behavior by activating social norms and by providing trustworthy information about sustainable energy investments and behaviors. However, little is known yet about members' actual energy use and how it differs from that of individuals who do not participate in such projects. In particular, selection effects are likely to arise, i.e. community-based energy projects may attract people that are different from the underlying population in terms of energy use. This article empirically addresses the question of the selection into community-based energy projects in terms of energy use, focusing on the case of renewable energy cooperatives. Based on quantitative data from an original survey conducted with one renewable energy cooperative in Flanders and using probit regression analyses, it contrasts a sample of cooperative members with an appropriate comparison group in terms of electricity usage. The results show that electricity consumption is positively related with cooperative membership, suggesting that high use consumers have greater incentives to join a community-based organization which provides assistance and advice on the adoption of green technologies and energy efficiency measures. These findings contribute to an understanding of the relationship between community-based governance and sustainable energy practices.