School of Economics & Management, China University of Geosciences, Wuhan, China.
Modern Project Management Institute, CUG, Fulbright Visiting Research Scholar, UC Davis, Davis, CA, USA.
Environ Sci Pollut Res Int. 2020 Nov;27(31):38745-38757. doi: 10.1007/s11356-020-09926-3. Epub 2020 Jul 6.
Worldwide green products are getting popularity and acceptance due to energy crisis, climate change, and other environmental degradations which reveal the upcoming challenges of the twenty-first century. In construction industry, green housing (GH) is an emerging concept towards environmental sustainability. However, this study intends to consider the green purchase intention of Bangladeshi consumers towards GH through augmented theory of planned behavior (TPB) implantation. To investigate proposed hypotheses, the structural equation modeling (SEM) approach is applied on a sample set of 319 valid responses residing in Dhaka City and aging over 20 years. The empirical results infer that attitude and consumers' perceived behavioral control are significant features of green purchase intention and have a vital role in green purchase behavior. In contrast, environmental concern, environmental knowledge, and subjective norm have no direct effect on the green purchase intention of consumers towards GH in Bangladesh. Instead, environmental knowledge and environmental concern indirectly affect the green purchase intention. The findings of the present study can contribute to the existing literature to understand Bangladeshi consumers' green purchase intention and their green purchase behavior and promote GH which can play a robust role in environmental sustainability.
由于能源危机、气候变化和其他环境恶化,全球绿色产品越来越受欢迎和认可,这些问题揭示了 21 世纪即将面临的挑战。在建筑行业,绿色住宅(GH)是一种新兴的环境可持续发展理念。然而,本研究旨在通过扩展计划行为理论(TPB)的植入,考虑孟加拉国消费者对 GH 的绿色购买意向。为了检验提出的假设,结构方程模型(SEM)方法应用于一组 319 个有效响应的样本,这些样本来自达卡市,年龄在 20 岁以上。实证结果推断,态度和消费者感知的行为控制是绿色购买意向的重要特征,对绿色购买行为起着至关重要的作用。相比之下,环境关注、环境知识和主观规范对孟加拉国消费者对 GH 的绿色购买意向没有直接影响。相反,环境知识和环境关注会间接地影响绿色购买意向。本研究的结果可以为现有文献提供帮助,以了解孟加拉国消费者的绿色购买意向及其绿色购买行为,并促进 GH 的发展,这对环境可持续性将起到强有力的作用。