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Biology and being green: The effect of prenatal testosterone exposure on pro-environmental consumption behaviour

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  • Hand, Chris

Abstract

Differences between men and women in terms of pro-environmental behaviour have been attributed to differences in perceived threats to gender identity; pro-environmental behaviours being viewed as more feminine than masculine. Conversely, if pro-environmental behaviour is framed in terms of competition with peers, men might be expected to engage more than women. This paper explores how far such behaviours are related to a suggested source of gender related attitude/behaviour differences: pre-natal exposure to testosterone and estrogen, employing a suggested biomarker, the ratio of the length of the second and fourth digits of the hand (2D,4D). A stratified sample of UK households containing 880 adults (400 male and 480 female) drawn from the Understanding Society Survey Innovation Panel is used. A small but significant difference between men's and women's environmental behaviour is found whilst greater engagement with pro-environmental behaviour is associated with more masculine ratio in men, but not women.

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  • Hand, Chris, 2020. "Biology and being green: The effect of prenatal testosterone exposure on pro-environmental consumption behaviour," Journal of Business Research, Elsevier, vol. 120(C), pages 619-626.
    • Handle: RePEc:eee:jbrese:v:120:y:2020:i:c:p:619-626
    DOI: 10.1016/j.jbusres.2019.02.034
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    1. Diamantopoulos, Adamantios & Riefler, Petra & Roth, Katharina P., 2008. "Advancing formative measurement models," Journal of Business Research, Elsevier, vol. 61(12), pages 1203-1218, December.
    2. Pablo Brañas-Garza & Jaromír Kovářík & Levent Neyse, 2013. "Second-to-Fourth Digit Ratio Has a Non-Monotonic Impact on Altruism," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-10, April.
    3. Coltman, Tim & Devinney, Timothy M. & Midgley, David F. & Venaik, Sunil, 2008. "Formative versus reflective measurement models: Two applications of formative measurement," Journal of Business Research, Elsevier, vol. 61(12), pages 1250-1262, December.
    4. Gudergan, Siegfried P. & Ringle, Christian M. & Wende, Sven & Will, Alexander, 2008. "Confirmatory tetrad analysis in PLS path modeling," Journal of Business Research, Elsevier, vol. 61(12), pages 1238-1249, December.
    5. Aaron R. Brough & James E. B. Wilkie & Jingjing Ma & Mathew S. Isaac & David Gal, 2016. "Is Eco-Friendly Unmanly? The Green-Feminine Stereotype and Its Effect on Sustainable Consumption," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(4), pages 567-582.
    6. Galizzi, Matteo M. & Nieboer, Jeroen, 2015. "Digit ratio (2D:4D) and altruism: evidence from a large, multi-ethnic sample," LSE Research Online Documents on Economics 60982, London School of Economics and Political Science, LSE Library.
    7. Kristina M. Durante & Vladas Griskevicius & Sarah E. Hill & Carin Perilloux & Norman P. Li, 2011. "Ovulation, Female Competition, and Product Choice: Hormonal Influences on Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(6), pages 921-934.
    8. Aspara, Jaakko & Van Den Bergh, Bram, 2014. "Naturally designed for masculinity vs. femininity? Prenatal testosterone predicts male consumers' choices of gender-imaged products," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 117-121.
    9. Lori M. Hunter & Alison Hatch & Aaron Johnson, 2004. "Cross‐National Gender Variation in Environmental Behaviors," Social Science Quarterly, Southwestern Social Science Association, vol. 85(3), pages 677-694, September.
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    4. Duong, Cong Doanh, 2023. "“What goes around comes around†: Activating sustainable consumption with curvilinear effects of karma determinants," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

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