The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Study of Consumers’ Willingness to Pay for Green Products
Abstract
In the past decade a huge number of studies have explored consumers' willingness to pay across different product categories. However the intention to pay the premium for green products had remained unexamined to a large extent in the context of emerging economies of the east. The present paper tries to prognosticate the drivers for green purchase decisions and willingness-to-pay. Structured questionnaires are used for data collection and ordinary least square regression and analysis of variance have been used for analysis of data. Results suggest the dominance of consumers' perception about the functional aspects of green products on their willingness-to-pay.
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Citations
Cites
Does Doing Good Always Lead to Doing Better? Consumer Reactions to Corporate Social Responsibility
Sen, S., & Bhattacharya, C. B. (2001) · Journal of Marketing Research · doi:10.1509/jmkr.38.2.225.18838 · Cited by 4,659
Targeting consumers who are willing to pay more for environmentally friendly products
Laroche, M., Bergeron, J., & Barbaro‐Forleo, G. (2001) · Journal of Consumer Marketing · doi:10.1108/eum0000000006155 · Cited by 2,974
Cited by
Willingness to pay more for green products: A critical challenge for Gen Z
Gomes, S., Lopes, J. M., & Nogueira, S. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.136092 · Cited by 369
Sadiq, M. W., Akhtar, M. W., Huo, C., & Zulfiqar, S. (2024) · The Service Industries Journal · doi:10.1080/02642069.2023.2278463 · Cited by 56
Metadata
- Authors
- Biswas, A.
- Venue
- Journal of Advanced Management Science
- Publisher
- EJournal Publishing
- Published
- 2016
- Pages
- 211-215
- ISSN
- 2810-9740 (ISSN-L)
- 2168-0787
- OpenAlex
- W2342540874
- Cited by
- 162
- References
- 2
- FWCI
- 14.14
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
