IDEAS home Printed from https://ideas.repec.org/a/ags/ijofsd/346722.html

Microalgae-based Food: Consumer Perception and Willingness to Pay in Austria—a Discrete Choice Based Experiment

Author

Listed:
  • Meixner, Oliver
  • Nieschalk, Richard
  • Haas, Rainer

Abstract

Algae-based foods have been gaining increasing popularity in recent years and hold tremendous potential, provided that there is greater awareness and knowledge about microalgae-based foods within both the general population and the food industry. These products not only offer health benefits for the human body but are also cost-effective and environmentally sustainable to produce. Using a discrete choice experiment (DCE), we assessed consumer perception and willingness to pay (WTP) of Austrian consumers for innovative food items made from microalgae, using algae crackers as an illustrative example. To approximate the weighting of the product attributes of origin, price, flavor, production method and packaging, we employed Choice Based Conjoint Analysis (CBCA) through an online survey (n = 301 participants). Subsequently, we approximated WTP for each product attribute based on the outcomes of the CBCA. The study reveals that, on the whole, microalgae-based food products are favorably perceived by consumers. The findings generally align with prior research in the literature, albeit with some noteworthy distinctions. For instance, there is a higher WTP for organic microalgae-based food compared to similar studies where regional production was evaluated to be of higher importance. Consequently, innovative microalgae foods seem to have significant potential in consumer food markets. Food producers should consider the expectations and perceptions of consumers in order to be able to successfully introduce novel microalgae food products in this, currently, niche market.

Suggested Citation

  • Meixner, Oliver & Nieschalk, Richard & Haas, Rainer, . "Microalgae-based Food: Consumer Perception and Willingness to Pay in Austria—a Discrete Choice Based Experiment," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 14(04).
  • Handle: RePEc:ags:ijofsd:346722
    DOI: 10.22004/ag.econ.346722
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/346722/files/MICROALGAE-BASED%20FOOD%20CONSUMER%20PERCEPTION.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.346722?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
    ---><---

    References listed on IDEAS

    as
    1. Louviere, Jordan J. & Islam, Towhidul, 2008. "A comparison of importance weights and willingness-to-pay measures derived from choice-based conjoint, constant sum scales and best-worst scaling," Journal of Business Research, Elsevier, vol. 61(9), pages 903-911, September.
    2. Reto Hofstetter & Klaus M. Miller & Harley Krohmer & Z. John Zhang, 2020. "A De-biased Direct Question Approach to Measuring Consumers' Willingness to Pay," Papers 2005.11318, arXiv.org.
    3. Chandukala, Sandeep R. & Kim, Jaehwan & Otter, Thomas & Rossi, Peter E. & Allenby, Greg M., 2008. "Choice Models in Marketing: Economic Assumptions, Challenges and Trends," Foundations and Trends(R) in Marketing, now publishers, vol. 2(2), pages 97-184, September.
    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. Oliver Meixner & Felix Katt, 2020. "Assessing the Impact of COVID-19 on Consumer Food Safety Perceptions—A Choice-Based Willingness to Pay Study," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    2. Sigurdsson, Valdimar & Larsen, Nils Magne & Alemu, Mohammed Hussen & Gallogly, Joseph Karlton & Menon, R. G. Vishnu & Fagerstrøm, Asle, 2020. "Assisting sustainable food consumption: The effects of quality signals stemming from consumers and stores in online and physical grocery retailing," Journal of Business Research, Elsevier, vol. 112(C), pages 458-471.
    3. Hristov, Hristov & Kuhar, Ales, 2013. "Young Urban Adults' Preferences for Wine Attributes: An Exploratory Study of the Republic of Macedonia Wine Market Applying the Best-Worst Scaling," 2013 Conference: Tools for decision support in agriculture and rural development, April 18-19, 2013, Krško, Slovenia 183907, Slovenian Association of Agricultural Economists (DAES).
    4. Christian Wankmüller & Maximilian Kunovjanek & Robert Gennaro Sposato & Gerald Reiner, 2020. "Selecting E-Mobility Transport Solutions for Mountain Rescue Operations," Energies, MDPI, vol. 13(24), pages 1-19, December.
    5. John Rose & David Hensher, 2014. "Tollroads are only part of the overall trip: the error of our ways in past willingness to pay studies," Transportation, Springer, vol. 41(4), pages 819-837, July.
    6. Stephanie Knox & Rosalie Viney & Deborah Street & Marion Haas & Denzil Fiebig & Edith Weisberg & Deborah Bateson, 2012. "What’s Good and Bad About Contraceptive Products?," PharmacoEconomics, Springer, vol. 30(12), pages 1187-1202, December.
    7. Bernhard Baumgartner & Daniel Guhl & Thomas Kneib & Winfried J. Steiner, 2018. "Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(4), pages 837-873, October.
    8. Heo, Cindy Yoonjoung & Kim, Bona & Park, Kwangsoo & Back, Robin M., 2022. "A comparison of Best-Worst Scaling and Likert Scale methods on peer-to-peer accommodation attributes," Journal of Business Research, Elsevier, vol. 148(C), pages 368-377.
    9. Greiner, Romy, 2014. "Willingness of north Australian pastoralists and graziers to participate in contractual biodiversity conservation," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165839, Australian Agricultural and Resource Economics Society.
    10. Matthew C. Walsman, 2022. "Operational Adaptation and Innovation During COVID-19: Lessons Learned from Consulting and a Road Map for the Future," Service Science, INFORMS, vol. 14(2), pages 195-212, June.
    11. Eline Jongmans & Alain Jolibert & Julie Irwin, 2014. "Estimation du poids d'un attribut environnemental : influence et effet des mesures d'évaluation," Post-Print halshs-01185772, HAL.
    12. Meise, Jan Niklas & Rudolph, Thomas & Kenning, Peter & Phillips, Diane M., 2014. "Feed them facts: Value perceptions and consumer use of sustainability-related product information," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 510-519.
    13. Marco Lerro & Giuseppe Marotta & Concetta Nazzaro, 2020. "Measuring consumers’ preferences for craft beer attributes through Best-Worst Scaling," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-13, December.
    14. Soto, José & Escobedo, Francisco & Adams, Damian, 2016. "Public and Private Preferences for Urban Forest Ecosystem Services," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236232, Agricultural and Applied Economics Association.
    15. Zara Berberyan & Sarah Margaretha Jastram & Mark Heuer & Oliver Schnittka & Joachim Rosenkranz, 2026. "Attitude Without Action-What Really Hinders Ethical Consumption," Journal of Business Ethics, Springer, vol. 206(2), pages 297-315, June.
    16. Kreye, Melissa M. & Adams, Damian C. & Escobedo, Francisco J. & Soto, José R., 2016. "Does policy process influence public values for forest-water resource protection in Florida?," Ecological Economics, Elsevier, vol. 129(C), pages 122-131.
    17. Dumbrell, Nikki P. & Wheeler, Sarah Ann & Zuo, Alec & Adamson, David, 2022. "Public willingness to make trade-offs in the development of a hydrogen industry in Australia," Energy Policy, Elsevier, vol. 165(C).
    18. Claudia Symmank, 2019. "Extrinsic and intrinsic food product attributes in consumer and sensory research: literature review and quantification of the findings," Management Review Quarterly, Springer, vol. 69(1), pages 39-74, February.
    19. Feucht, Yvonne & Zander, Katrin, 2017. "Consumers’ attitudes on carbon footprint labelling. Results of the SUSDIET project," Thünen Working Paper 266396, Johann Heinrich von Thünen-Institut (vTI), Federal Research Institute for Rural Areas, Forestry and Fisheries.
    20. Xuan, Bui Bich & Ngoc, Quach Thi Khanh & Börger, Tobias, 2022. "Fisher preferences for marine litter interventions in Vietnam," Ecological Economics, Elsevier, vol. 200(C).

    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:ags:ijofsd:346722. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/centmde.html .

    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.