JOURNAL ARTICLE

Exploring buyer–seller relationships in Indian horticultural marketing: A focus on supermarket buyers.

  • Published In: Australian Journal of Agricultural & Resource Economics, 2024, v. 68, n. 4. P. 912 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Saini, Mayank; Savita, Ubba 3 of 3

Abstract

The emergence of high‐value supply chains, led by supermarket buyers, has transformed traditional avenues for marketing fruits and vegetables in India. Our study explores the evolving relationships between Indian farmers and supermarket buyers in the horticultural market. The investigation centres on understanding farmer satisfaction in this dynamic marketing landscape and its impact on their commitment to supermarket buyers. We identified critical factors such as price offer, reduced marketing cost and convenience as pivotal to farmers' satisfaction using the survey administered to 242 respondents. Results highlight the positive impact of price offer, reduced marketing cost and convenience on farmers' satisfaction, while underscoring that market assurance hampers satisfaction levels among farmers. In practical terms, our findings emphasise the importance of addressing farmers' needs for a more fruitful and mutually enriching partnership with the supermarkets. The study contributes depth to discussions on the evolving face of horticulture, accentuating the impact of modern supply chains on farmer welfare and economic growth. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Australian Journal of Agricultural & Resource Economics. 2024/10, Vol. 68, Issue 4, p912
  • Document Type:Article
  • Subject Area:Marketing
  • Publication Date:2024
  • ISSN:1364-985X
  • DOI:10.1111/1467-8489.12580
  • Accession Number:180249348
  • Copyright Statement:Copyright of Australian Journal of Agricultural & Resource Economics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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