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作 者:雷丽彩[1] 陈新雨 王辉[1] LEI Li-cai;CHEN Xin-yu;WANG Hui(Business School,Xiangtan University,Xiangtan 411105,Hunan,China)
出 处:《消费经济》2021年第2期57-66,共10页Consumer Economics
基 金:教育部人文社会科学规划基金项目(19YJA630030);湖南省哲学社会科学基金一般项目(17YBA369)。
摘 要:在推进能源消费革命、实施全民节能行动计划以及推广节能技术和产品的背景下,本文以对太阳能热水器的家庭消费决策为例,使用中国综合调查数据(CGSS2015),运用二元Logit回归模型、广义结构方程模型(GSEM)、倾向得分匹配法(PSM)等计量方法,重点研究了"邻居效应"对家庭做出节能产品消费行为的影响。研究结果表明"邻居效应"能有效提高家庭选择太阳能热水器的概率。通过倾向得分匹配法进一步说明了"邻居效应"对家庭选择太阳能热水器概率具有正向影响这一结论的稳健性;同时运用GSEM方法检验了社区(村域)太阳能安装率在"邻居效应"中的中介作用,也进一步说明了核心解释变量的结果稳健性。研究结果为了解当前家庭的能源消费决策行为、促进家庭节能消费提供了政策建议。Under the background of the promotion of propulsion energy consumption revolution,implementing national energy saving action plan and energy-saving technologies and products, this article based on the Chinese comprehensive survey data(CGSS2015), taking the solar energy water heater as an example, using the Logit Model, the Generalized Structural Equation Model(GSEM), and Propensity Score Matching(PSM),focuses on "neighbor effect" which affect family choose energy saving products. The results show that "neighbor effect" can effectively improve the probability of choosing solar water heater. The Propensity Score Matching is used to further explain the positive influence of "neighbor effect" on the probability of choosing solar water heater.The mediating effect of the community(village area) solar energy installation rate on the "neighbor effect" was tested by GSEM, and the robustness of the core explanatory variables was further demonstrated. The results of this study provide policy recommendations for understanding the current energy choices of existing households and promoting their energy saving choices.
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