IDEAS home Printed from https://ideas.repec.org/a/spr/elcore/v25y2025i4d10.1007_s10660-023-09764-8.html
   My bibliography  Save this article

Does establishing regional brands of agricultural products improve the reputation of e-commerce? Evidence from China

Author

Listed:
  • Yumei Lin

    (Shanghai University of International Business and Economics)

  • Xuheng Wang

    (Tongji University)

Abstract

Branding agricultural products is an optional way to promote regional agricultural products’ sales and quality. This study aims to investigate the viability of utilizing e-commerce as a means for regional branding of agricultural products in order to mitigate information asymmetry. The study investigates the influence of establishing regional brands for agricultural products on their reputation within e-commerce platforms, while also exploring the role of government support in this context. Through analysis of the findings, we ascertain whether the establishment of regional agricultural product brands contributes to enhancing the reputation of agricultural products on e-commerce platforms. Employing data mining techniques, we acquired user reviews from JD and data from China’s Specialty Products Pavilion. The findings reveal that regional brand agricultural products enjoy a higher reputation on e-commerce platforms compared to non-brand agricultural products. Additionally, government service support demonstrates a positive moderating effect. The findings of this paper provide essential insights for local governments to implement rural revitalization strategies, promote regional branding of agricultural products, and provide an optional way to improve the reputation of E-commerce agricultural products.

Suggested Citation

  • Yumei Lin & Xuheng Wang, 2025. "Does establishing regional brands of agricultural products improve the reputation of e-commerce? Evidence from China," Electronic Commerce Research, Springer, vol. 25(4), pages 2621-2639, August.
  • Handle: RePEc:spr:elcore:v:25:y:2025:i:4:d:10.1007_s10660-023-09764-8
    DOI: 10.1007/s10660-023-09764-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10660-023-09764-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10660-023-09764-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Violina P. Rindova & Charles J. Fombrun, 1999. "Constructing competitive advantage: the role of firm–constituent interactions," Strategic Management Journal, Wiley Blackwell, vol. 20(8), pages 691-710, August.
    2. James E. Anderson & Douglas Marcouiller, 2002. "Insecurity And The Pattern Of Trade: An Empirical Investigation," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 342-352, May.
    3. Davide Proserpio & Georgios Zervas, 2017. "Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews," Marketing Science, INFORMS, vol. 36(5), pages 645-665, September.
    4. Andy Pike, 2013. "Economic Geographies of Brands and Branding," Economic Geography, Taylor & Francis Journals, vol. 89(4), pages 317-339, October.
    5. Erpeng Wang & Zhenzhen Liu & Zhifeng Gao & Qin Wen & Xianhui Geng, 2022. "Consumer preferences for agricultural product brands in an E‐commerce environment," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 312-327, April.
    6. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    7. Dayong Xu, 2018. "Research On Brand Construction And Development Of Agricultural Products In Guizhou," Engineering Heritage Journal (GWK), Zibeline International Publishing, vol. 2(2), pages 19-24, August.
    8. Kirthi Kalyanam & John McAteer & Jonathan Marek & James Hodges & Lifeng Lin, 2018. "Cross channel effects of search engine advertising on brick & mortar retail sales: Meta analysis of large scale field experiments on Google.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(1), pages 1-42, March.
    9. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    10. Pradeep K. Chintagunta & Junhong Chu, 2021. "Geography as branding: Descriptive evidence from Taobao," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 53-92, March.
    11. Lijie Fang & Chien‐Chung Huang, 2020. "Targeted poverty alleviation in China: Evidence from Jingdong e‐commerce poverty alleviation," Poverty & Public Policy, John Wiley & Sons, vol. 12(4), pages 386-396, December.
    12. Fan, Ying & Ju, Jiandong & Xiao, Mo, 2016. "Reputation premium and reputation management: Evidence from the largest e-commerce platform in China," International Journal of Industrial Organization, Elsevier, vol. 46(C), pages 63-76.
    13. Chu, Junhong, 2013. "Quantifying nation equity with sales data: A structural approach," International Journal of Research in Marketing, Elsevier, vol. 30(1), pages 19-35.
    14. Zhu, Wenlong & Mou, Jian & Benyoucef, Morad, 2019. "Exploring purchase intention in cross-border E-commerce: A three stage model," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 320-330.
    15. Andy Pike, 2013. "Economic Geographies of Brands and Branding," Economic Geography, Clark University, vol. 89(4), pages 317-339, October.
    16. Steven Tadelis, 2016. "Reputation and Feedback Systems in Online Platform Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 321-340, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
    2. Pradeep K. Chintagunta & Junhong Chu, 2021. "Geography as branding: Descriptive evidence from Taobao," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 53-92, March.
    3. Zemin (Zachary) Zhong, 2022. "Chasing Diamonds and Crowns: Consumer Limited Attention and Seller Response," Management Science, INFORMS, vol. 68(6), pages 4380-4397, June.
    4. Marios Kokkodis, 2021. "Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work," Information Systems Research, INFORMS, vol. 32(3), pages 688-712, September.
    5. Hui, Xiang & Klein, Tobias & Stahl, Konrad, 2022. "Learning from Online Ratings," CEPR Discussion Papers 17006, C.E.P.R. Discussion Papers.
    6. Jana Kim Gutt & Karin Knorr, 2025. "Factors Influencing Organizations’ Responses on Employer Review Platforms," Working Papers Dissertations 133, Paderborn University, Faculty of Business Administration and Economics.
    7. Britta Hoyer & Dirk van Straaten, 2021. "Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis," Working Papers Dissertations 70, Paderborn University, Faculty of Business Administration and Economics.
    8. Balázs Kovács, 2024. "The Turing test of online reviews: Can we tell the difference between human-written and GPT-4-written online reviews?," Marketing Letters, Springer, vol. 35(4), pages 651-666, December.
    9. Wang, Yan & Yang, Jian & Qi, Lian, 2017. "A game-theoretic model for the role of reputation feedback systems in peer-to-peer commerce," International Journal of Production Economics, Elsevier, vol. 191(C), pages 178-193.
    10. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    11. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    12. Jason Greenberg & Daniel B. Sands & Gino Cattani & Joseph Porac, 2024. "Rating systems and increased heterogeneity in firm performance: Evidence from the New York City Restaurant Industry, 1994–2013," Strategic Management Journal, Wiley Blackwell, vol. 45(1), pages 36-65, January.
    13. Xiang Hui & Meng Liu & Raphael Thomadsen, 2022. "Quality Certificates Alleviate Consumer Aversion to Sponsored Search Advertising," CESifo Working Paper Series 9886, CESifo.
    14. Jullien, Bruno & Park, In-Uck, 2019. "Communication, Feedbacks and Repeated Moral Hazard with Short-lived Buyers," TSE Working Papers 19-1027, Toulouse School of Economics (TSE), revised Apr 2020.
    15. Dominik Gutt, 2018. "In the Eye of the Beholder? Empirically Decomposing Different Economic Implications of the Online Rating Variance," Working Papers Dissertations 40, Paderborn University, Faculty of Business Administration and Economics.
    16. Andreas J. Steur & Mischa Seiter, 2021. "Properties of feedback mechanisms on digital platforms: an exploratory study," Journal of Business Economics, Springer, vol. 91(4), pages 479-526, May.
    17. T. Ravichandran & Chaoqun Deng, 2023. "Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints," Information Systems Research, INFORMS, vol. 34(1), pages 319-341, March.
    18. Alberto Bracci & Jorn Boehnke & Abeer ElBahrawy & Nicola Perra & Alexander Teytelboym & Andrea Baronchelli, 2021. "Macroscopic properties of buyer-seller networks in online marketplaces," Papers 2112.09065, arXiv.org, revised Apr 2022.
    19. Rense Corten & Judith Kas & Timm Teubner & Martijn Arets, 2023. "The role of contextual and contentual signals for online trust: Evidence from a crowd work experiment," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    20. Jürgen Neumann, 2021. "When Biased Ratings Benefit the Consumer - An Economic Analysis of Online Ratings in Markets with Variety-Seeking Consumers," Working Papers Dissertations 77, Paderborn University, Faculty of Business Administration and Economics.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:elcore:v:25:y:2025:i:4:d:10.1007_s10660-023-09764-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.