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Consumers’ willingness to pay for plants protected by beneficial insects—Evidence from two stated-choice experiments with different subject pools

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  • Lehberger, Mira
  • Gruener, Sven

Abstract

We investigate consumers’ willingness to pay for plants protected by beneficial insects and those protected by pesticides, respectively, as well as the influence of message framing on willingness to pay. We use basil, heather, and orchids as experimental objects and find evidence from two experiments that consumers prefer plants protected by beneficial insects. Moreover, we find that message framing affects consumers’ willingness to pay, where gain framing produces greater overall willingness to pay. To check for the robustness of our results, we implemented instruments to mitigate concerns for social desirability and hypothetical bias, finding that our results are robust in terms of our key findings. This is the first comprehensive experimental study specifically on consumer’s willingness to pay for plants protected by beneficial insects. Our findings are also valuable for practitioners, as the use of beneficial insects in under-glass production systems is already common. Following our results, this information could be successfully used for marketing purposes.

Suggested Citation

  • Lehberger, Mira & Gruener, Sven, 2020. "Consumers’ willingness to pay for plants protected by beneficial insects—Evidence from two stated-choice experiments with different subject pools," SocArXiv 5zc62, Center for Open Science.
  • Handle: RePEc:osf:socarx:5zc62
    DOI: 10.31219/osf.io/5zc62
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    1. Hofstetter, Reto & Miller, Klaus M. & Krohmer, Harley & Zhang, Z. John, 2021. "A de-biased direct question approach to measuring consumers' willingness to pay," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 70-84.
    2. Jerrod M Penn & Wuyang Hu, 2018. "Understanding Hypothetical Bias: An Enhanced Meta-Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1186-1206.
    3. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    4. repec:zbw:rwirep:0480 is not listed on IDEAS
    5. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    6. James Murphy & Thomas Stevens & Lava Yadav, 2010. "A Comparison of Induced Value and Home-Grown Value Experiments to Test for Hypothetical Bias in Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(1), pages 111-123, September.
    7. Franziska Voelckner, 2006. "An empirical comparison of methods for measuring consumers’ willingness to pay," Marketing Letters, Springer, vol. 17(2), pages 137-149, April.
    8. Maren Duvendack & Richard W. Palmer-Jones & W. Robert Reed, 2015. "Replications in Economics: A Progress Report," Econ Journal Watch, Econ Journal Watch, vol. 12(2), pages 164–191-1, May.
    9. Karen Blumenschein & Glenn C. Blomquist & Magnus Johannesson & Nancy Horn & Patricia Freeman, 2008. "Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment," Economic Journal, Royal Economic Society, vol. 118(525), pages 114-137, January.
    10. Dunning,Thad, 2012. "Natural Experiments in the Social Sciences," Cambridge Books, Cambridge University Press, number 9781107017665, November.
    11. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    12. F. Bailey Norwood & Jayson L. Lusk, 2011. "Social Desirability Bias in Real, Hypothetical, and Inferred Valuation Experiments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 528-534.
    13. Charness, Gary & Gneezy, Uri & Kuhn, Michael A., 2013. "Experimental methods: Extra-laboratory experiments-extending the reach of experimental economics," Journal of Economic Behavior & Organization, Elsevier, vol. 91(C), pages 93-100.
    14. Fabian Thomas & Estelle Midler & Marianne Lefebvre & Stefanie Engel, 2019. "Greening the common agricultural policy: a behavioural perspective and lab-in-the-field experiment in Germany," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 46(3), pages 367-392.
    15. Mark A. Andor & Manuel Frondel & Colin Vance, 2017. "Mitigating Hypothetical Bias: Evidence on the Effects of Correctives from a Large Field Study," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(3), pages 777-796, November.
    16. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    17. Levin, Irwin P. & Schneider, Sandra L. & Gaeth, Gary J., 1998. "All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(2), pages 149-188, November.
    18. Anna K. Edenbrandt & Christian Gamborg & Bo J. Thorsen, 2018. "Consumers’ Preferences for Bread: Transgenic, Cisgenic, Organic or Pesticide†free?," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(1), pages 121-141, February.
    19. Cesare Amatulli & Matteo Angelis & Alessandro M. Peluso & Isabella Soscia & Gianluigi Guido, 2019. "The Effect of Negative Message Framing on Green Consumption: An Investigation of the Role of Shame," Journal of Business Ethics, Springer, vol. 157(4), pages 1111-1132, July.
    20. Ivar Krumpal, 2013. "Determinants of social desirability bias in sensitive surveys: a literature review," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(4), pages 2025-2047, June.
    21. Magnus Johannesson & Bengt Liljas & Per-Olov Johansson, 1998. "An experimental comparison of dichotomous choice contingent valuation questions and real purchase decisions," Applied Economics, Taylor & Francis Journals, vol. 30(5), pages 643-647.
    22. repec:ken:wpaper:0901 is not listed on IDEAS
    23. Rana, Jyoti & Paul, Justin, 2017. "Consumer behavior and purchase intention for organic food: A review and research agenda," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 157-165.
    24. Fisher, Robert J, 1993. "Social Desirability Bias and the Validity of Indirect Questioning," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 303-315, September.
    25. Camerer, Colin & Dreber, Anna & Forsell, Eskil & Ho, Teck-Hua & Huber, Jurgen & Johannesson, Magnus & Kirchler, Michael & Almenberg, Johan & Altmejd, Adam & Chan, Taizan & Heikensten, Emma & Holzmeist, 2016. "Evaluating replicability of laboratory experiments in Economics," MPRA Paper 75461, University Library of Munich, Germany.
    26. Börger, Tobias, 2013. "Keeping up appearances: Motivations for socially desirable responding in contingent valuation interviews," Ecological Economics, Elsevier, vol. 87(C), pages 155-165.
    27. Shi, Lijia & Gao, Zhifeng & Chen, Xuqi, 2014. "The cross-price effect on willingness-to-pay estimates in open-ended contingent valuation," Food Policy, Elsevier, vol. 46(C), pages 13-21.
    28. Dunning,Thad, 2012. "Natural Experiments in the Social Sciences," Cambridge Books, Cambridge University Press, number 9781107698000, November.
    29. Fiedler, Susann & Hillenbrand, Adrian, 2020. "Gain-loss framing in interdependent choice," Games and Economic Behavior, Elsevier, vol. 121(C), pages 232-251.
    30. Andreas C. Drichoutis & Achilleas Vassilopoulos & Jayson L. Lusk & Rodolfo M. NaygaJr., 2017. "Consumer preferences for fair labour certification," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(3), pages 455-474.
    31. Bruno Frey, 2017. "Policy consequences of pay-for-performance and crowding-out," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 1(1), pages 55-59, February.
    32. Tversky, Amos & Kahneman, Daniel, 1986. "Rational Choice and the Framing of Decisions," The Journal of Business, University of Chicago Press, vol. 59(4), pages 251-278, October.
    33. Britwum, Kofi & Yiannaka, Amalia, 2019. "Consumer willingness to pay for food safety interventions: The role of message framing and issue involvement," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    34. Takaaki Kato & Noboru Hidano, 2007. "Anchoring Effects, Survey Conditions, and Respondents' Characteristics: Contingent Valuation of Uncertain Environmental Changes," Journal of Risk Research, Taylor & Francis Journals, vol. 10(6), pages 773-792, September.
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