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Cited by 316

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Price competition between green and non green products under corporate social responsible firm

Sana, Shib Sankar·2020·Journal of Retailing and Consumer Services

Abstract

Abstract This article deals with a newsvendor inventory model in light of green product marketing of corporate social responsible firms. In this model, comparison between green and non green marketing is analyzed including subsidy and tax implementation by Government where the Government offers higher subsidy and lower tax to the green producer unlike the lower subsidy and higher tax to the non green producer. There is also price contest between green and non green producer as the demands of the products are dependent on sales price, carbon emission and corporate social responsibility index. Assuming the cost and profit parameters, an expected profit function of the systems is formulated and maximized analytically. Finally, numerical examples are illustrated to justify the proposed model.

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Metadata

Authors
Sana, S. S.
Venue
Journal of Retailing and Consumer Services
Publisher
Elsevier BV
Published
2020-07
Volume
55
Pages
102118
ISSN
0969-6989 (ISSN-L)
OpenAlex
W3022155320
Cited by
316
References
23
FWCI
56.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Price competition between green and non green products under corporate social responsible firm. https://app.cochat.ai/papers/10.1016/j.jretconser.2020.102118
The paper
Sana, S. S. (2020). Price competition between green and non green products under corporate social responsible firm. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2020.102118

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.