Proactive social learning and green product consumption: Evidence from new energy vehicle sales in China

IF 13.3 1区 管理学 Q1 BUSINESS
Zhe Jiang , Ning Liu , Xiaobing Zhang , Yanlai Chu , Lin Zhang
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引用次数: 0

Abstract

Growing literature on social norms points to the effectiveness of leveraging social interactions to spur prosocial purchase behaviors. This article studies the effects of proactive social learning, a dynamic social norm formation process measured by the public's online normative information acquisition regarding climate change, on new energy vehicle (NEV) sales in China. Drawing on model–month sales data, we provide robust evidence that citizens' broad searches for information about climate change or global warming boost local NEV sales. By distinguishing between search topics, we find that impact-based learning has a greater influence on NEV sales than reason-based learning. City-level analysis further reveals that local social norms formed through economic openness, public literacy, and strategic government interventions enhance proactive social learning-driven NEV sales. Our findings highlight the importance of understanding proactive social learning embedded in localized social norms in promoting prosocial consumer decisions.
主动社会学习与绿色产品消费:来自中国新能源汽车销售的证据
越来越多关于社会规范的文献指出了利用社会互动来刺激亲社会购买行为的有效性。本文研究了主动社会学习对中国新能源汽车销售的影响。主动社会学习是一个动态的社会规范形成过程,通过公众对气候变化的在线规范信息获取来衡量。根据车型月的销售数据,我们提供了强有力的证据,证明公民对气候变化或全球变暖信息的广泛搜索促进了当地新能源汽车的销售。通过区分搜索主题,我们发现基于影响的学习比基于原因的学习对新能源汽车销售的影响更大。城市层面的分析进一步表明,通过经济开放、公众素养和战略性政府干预形成的当地社会规范促进了主动的社会学习驱动的新能源汽车销售。我们的研究结果强调了理解嵌入在本地社会规范中的主动社会学习在促进亲社会消费者决策中的重要性。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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