Eco-labels: A tool for green marketing or just a blind mirror for consumers

Q3 Social Sciences Electronic Green Journal Pub Date : 2019-02-16 DOI:10.5070/G314233710
N. Sharma, G. Kushwaha
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引用次数: 38

Abstract

Author(s): Sharma, Nagendra Kumar; Kushwaha, Gyaneshwar Singh | Abstract: Studies show that greening the business is not only helpful in getting the green products to the consumers, which may be better for their health and environment, but it also helps the business as a kind of strategy for enjoying a competitive advantage and strengthening brand image. Green marketing practices are now days gaining wide acceptance among various marketing practices. Green marketing is the set of marketing activities which start from the procurement of the product to the delivery of the product to the end user in a greener way. On the other hand, eco-labeling is one of the important tools for the green marketing as it helps to differentiate the green products from non-green products. But it has been seen that many times these eco-labels fail to attain their objectives. The objective of this paper is to establish a relationship of eco-labels with consumer knowledge, information communication, consumer trust and its impact on green purchase intention. Further, all these relationships have been verified with the help of structural equation modeling (SEM), performed by using SmartPLS 3.0. The study reveals that eco-labeling is a significant criterion for consumer trust and green purchase intention via consumer information and knowledge.
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生态标签:绿色营销工具或只是消费者的一面盲镜
作者:Sharma, Nagendra Kumar;摘要:研究表明,企业绿色化不仅有助于将绿色产品提供给消费者,有利于消费者的健康和环境,而且有助于企业作为一种战略获得竞争优势和强化品牌形象。如今,绿色营销实践在各种营销实践中得到了广泛的接受。绿色营销是指从产品的采购到以更环保的方式将产品交付给最终用户的一系列营销活动。另一方面,生态标签是绿色营销的重要工具之一,它有助于区分绿色产品和非绿色产品。但是很多时候,这些生态标签并没有达到它们的目的。本文的目的是建立生态标签与消费者知识、信息沟通、消费者信任的关系及其对绿色购买意愿的影响。此外,通过使用SmartPLS 3.0进行结构方程建模(SEM),所有这些关系都得到了验证。研究发现,生态标签是消费者信任和绿色购买意愿的重要标准。
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来源期刊
Electronic Green Journal
Electronic Green Journal Social Sciences-Geography, Planning and Development
CiteScore
0.50
自引率
0.00%
发文量
10
审稿时长
12 weeks
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