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Why do firms choose to greenwash: an evolutionary analysis of greenwashing incentives and deterrents

Published online by Cambridge University Press:  12 September 2025

Sebastian Ille Open the ORCID record for Sebastian Ille [Opens in a new window]  and
Edgar J. Sanchez Carrera Open the ORCID record for Edgar J. Sanchez Carrera [Opens in a new window]
Sebastian Ille*
Affiliation:
Onsi Sawiris School of Business, The American University in Cairo, New Cairo, Egypt
Edgar J. Sanchez Carrera
Affiliation:
Department of Economics and Management, University of Florence, Florence, Italy Applied Mathematics Research Center CIMA, UAdeC, Saltillo, Mexico
*
Corresponding author: Sebastian Ille; Email: sebastian.ille@aucegypt.edu
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Abstract

With the increasing demand for sustainable products, greenwashing has become more prevalent and sophisticated over the past decade. To better understand the incentives for firms to greenwash, we develop an evolutionary game-theoretic model in which firms may choose to mimic green behavior without having to bear the cost linked to green investment and production. We provide the conditions for the different evolutionarily stable equilibria. In a second step, we extend the model using agent-based simulations to incorporate path-dependent investment/production costs, history-dependent mimicry effectiveness, peer effects, and localized firm interactions. We show that the simpler model with random matching offers good approximations of the equilibrium conditions in more complex setups, but market segmentation supports green investment and production in contrast to higher penalties. While curtailing opportunities to pretend green behavior boosts green production, we also find that increasing cost efficiencies encourage firms to engage in green production, even in the face of increasingly sophisticated deceptive strategies. Based on our results, we suggest trio-targeted policies that reduce the (initial) costs of green investment/production, curtail opportunities to mimic green behavior, and support segmentation.

Keywords

climate changenon-linear macroeconomic modelsgreenwashingcorporate sustainabilityC27G14G32Q56M14

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Type
Articles
Information
Macroeconomic Dynamics , Volume 29 , 2025 , e140
Copyright
© The Author(s), 2025. Published by Cambridge University Press

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References

Abdul Wahab, E.A., Jamaludin, M.F., Agustia, D. and Harymawan, I.. (2020). Director networks, political connections, and earnings quality in Malaysia. Management and Organization Review 16(3), 687–724.10.1017/mor.2020.26CrossRefGoogle Scholar
Agi, M.A.N., Faramarzi-Oghani, S. and Hazır, Ö.. (2021). Game theory-based models in green supply chain management: A review of the literature. International Journal of Production Research 59(15), 4736–4755.10.1080/00207543.2020.1770893CrossRefGoogle Scholar
Al Ani, M.K. and Chavali, K.. (2023). The relationship between investment intensity and profitability measures from the perspective of foreign investors. Humanities and Social Sciences Communications 10(76). https://www.nature.com/articles/s41599-023-01571-8.10.1057/s41599-023-01571-8CrossRefGoogle Scholar
Alebrahim, E. and Alnahedh, M.. (2024). Corporate network formation in kuwait: board interlocks network analysis using exponential random graph models. Corporate Governance: The International Journal of Business in Society 24(7), 1638–1662.10.1108/CG-01-2023-0032CrossRefGoogle Scholar
Bacchiocchi, A., Ille, S. and Giombini, G.. (2024). The effects of a green monetary policy on firms financing cost. Journal of Economic Interaction and Coordination 19(4), 727–757.10.1007/s11403-023-00400-0CrossRefGoogle Scholar
Barabási, A.-L. and Albert, R.. (1999). Emergence of scaling in random networks. Science 286(5439), 509–512.10.1126/science.286.5439.509CrossRefGoogle ScholarPubMed
Baum, J.A.C., Cowan, R. and Jonard, N.. (2010). Network-independent partner selection and the evolution of innovation networks. Management Science 56(11), 2094–2110.10.1287/mnsc.1100.1229CrossRefGoogle Scholar
Bernini, F., Giuliani, M. and La Rosa, F.. (2024). Measuring greenwashing: a systematic methodological literature review. Business Ethics, the Environment & Responsibility 33(4), 649–667.10.1111/beer.12631CrossRefGoogle Scholar
Besley, T. and Persson, T.. (2023). The political economics of green transitions*. The Quarterly Journal of Economics 138(3), 1863–1906.10.1093/qje/qjad006CrossRefGoogle Scholar
Cai, J., Sun, H., Shang, J. and Hegde, G.G.. (2023). Information structure selection in a green supply chain: impacts of wholesale price and greenness level. European Journal of Operational Research 306(1), 34–46.10.1016/j.ejor.2022.11.002CrossRefGoogle Scholar
Carmona, R. and Delarue, F.. (2018). Learning by examples: What is a mean field game? In Probabilistic Theory of Mean Field Games with Applications I. Probability Theory and Stochastic Modelling, vol. 83. Cham: Springer.Google Scholar
Casey, W., Massey, S.E. and Mishra, B.. (2021). How signalling games explain mimicry at many levels: from viral epidemiology to human sociology. Journal of the Royal Society, Interface 18(175), 20200689.10.1098/rsif.2020.0689CrossRefGoogle ScholarPubMed
Chen, C., Jiang, D. and Li, W.. (2023). Keeping up with the csr joneses: the impact of industry peers on focal firms’ csr performance. Humanities and Social Sciences Communications 10(106).Google Scholar
Chen, M.-H., Wei, H., Wei, M., Huang, H. and Su, C.-H.J.. (2021). Modeling a green supply chain in the hotel industry: an evolutionary game theory approach. International Journal of Hospitality Management 92, 102716.10.1016/j.ijhm.2020.102716CrossRefGoogle Scholar
CMA. (2021). Making environmental claims on goods and services. Competition and Markets Authority, UK Government.Google Scholar
Delmas, M.A. and Burbano, V.C.. (2011). The drivers of greenwashing. California Management Review 54(1), 64–87.10.1525/cmr.2011.54.1.64CrossRefGoogle Scholar
Demirel, P., Iatridis, K. and Kesidou, E.. (2018). The impact of regulatory complexity upon self-regulation: evidence from the adoption and certification of environmental management systems. Journal of Environmental Management 207, 80–91.10.1016/j.jenvman.2017.11.019CrossRefGoogle ScholarPubMed
Dunz, N., Naqvi, A. and Monasterolo, I.. (2021). Climate sentiments, transition risk, and financial stability in a stock-flow consistent model. Journal of Financial Stability 54(C).10.1016/j.jfs.2021.100872CrossRefGoogle Scholar
EP. (2024a). Meps adopt new law banning greenwashing and misleading product information. European Parliament News, Press Release.Google Scholar
EP. (2024b). Parliament wants to improve consumer protection against misleading claims. European Parliament News, Press Release.Google Scholar
Eyraud, L., Clements, B. and Wane, A.. (2013) Green investment: trends and determinants. Energy Policy 60, 852–865.10.1016/j.enpol.2013.04.039CrossRefGoogle Scholar
Faber, G., Ruttinger, A., Strunge, T., Langhorst, T., Zimmermann, A., van der Hulst, M., Bensebaa, F., Moni, S. and Tao, L.. (2022). Adapting technology learning curves for prospective techno-economic and life cycle assessments of emerging carbon capture and utilization pathways. Frontiers in Climate 4.10.3389/fclim.2022.820261CrossRefGoogle Scholar
Fiegenbaum, A. and Thomas, H.. (1995). Strategic groups as reference groups: theory, modeling and empirical examination of industry and competitive strategy. Strategic Management Journal 16(6), 461–476.10.1002/smj.4250160605CrossRefGoogle Scholar
Flammer, C. (2021). Corporate green bonds. Journal of Financial Economics 142(2), 499–516.10.1016/j.jfineco.2021.01.010CrossRefGoogle Scholar
Fürer, M. (2023). Reprisk data suggest increase in greenwashing and rise of social washing. Accessed: 2024-09-30. Available at: https://www.reprisk.com/research-insights/news-and-media-coverage/reprisk-data-shows-increase-in-greenwashing-with-one-in-three-greenwashing-public-companies-also-linked-to-social-washing#:~:text=While%20greenwashing%20incidents%20have%20accelerated,banking%20and%20financial%20services%20sectors.Google Scholar
Gaio, C. and Raposo, C.. (2011). Earnings quality and firm valuation: international evidence. Accounting & Finance 51(2), 467–499.10.1111/j.1467-629X.2010.00362.xCrossRefGoogle Scholar
Gao, J., Gu, X. and Yang, X.. (2024). Three-dimensional institutional equivalence: how industry, community, and network peers influence corporate innovation quality in china. European Journal of Innovation Management. ahead of print(ahead of print).10.1108/EJIM-06-2023-0494CrossRefGoogle Scholar
Gaonkar, S. and Mele, A.. (2023). A model of inter-organizational network formation. Journal of Economic Behavior & Organization 214, 82–104.10.1016/j.jebo.2023.07.028CrossRefGoogle Scholar
Gu, C. and Shen, M.. (2022). Peer effect of environmental information disclosure behavior in china: empirical test based on ”real green” and ”fake green. Heliyon 10(23).Google Scholar
Gupta, K. and Singh, N.. (2024). A systematic review of literature on greenwashing. In Sustainability Development through Green Economics, Contemporary Studies in Economic and Financial Analysis, vol. 114. Emerald Group Publishing Limited, pp. 75–90.10.1108/S1569-375920240000114005CrossRefGoogle Scholar
Hameed, I., Hyder, Z., Imran, M. and Shafiq, K.. (2021). Greenwash and green purchase behavior: an environmentally sustainable perspective. Environment, Development and Sustainability 23, 13113–13134.10.1007/s10668-020-01202-1CrossRefGoogle Scholar
He, Q., Wang, Z., Wang, G., Xie, J. and Chen, Z.. (2022). The dark side of environmental sustainability in projects: unraveling greenwashing behaviors. Project Management Journal 53(4), 349–366.10.1177/87569728211042705CrossRefGoogle Scholar
Hirsch, S., Lanter, D. and Finger, R.. (2021). Profitability and profit persistence in eu food retailing: differences between top competitors and fringe firms. Agribusiness 37(2), 235–263.10.1002/agr.21654CrossRefGoogle Scholar
Huang, S.-M., Chung, S.H., Huang, C.F. and Zhan, K.-Q.. (2024). Discovering greenwashing behavior patterns: a systematic literature review approach. International Journal of Computer Auditing 6(1), 3–24.10.53106/256299802024120601002CrossRefGoogle Scholar
Huang, Z., Shi, Y. and Jia, M.. (2025). Greenwashing: a systematic literature review. Accounting & Finance 65(1), 857–882.10.1111/acfi.13352CrossRefGoogle Scholar
Ille, S. (2022). Models of Society and Complex Systems. London: Routledge.10.4324/9781003035329CrossRefGoogle Scholar
Ioannou, I., Kassinis, G. and Papagiannakis, G.. (2023). The impact of perceived greenwashing on customer satisfaction and the contingent role of capability reputation. Journal of Business Ethics 185(2), 333–347.10.1007/s10551-022-05151-9CrossRefGoogle Scholar
Jaumotte, F., Kim, J., Pienknagura, S. and Schwerhoff, G.. (2024). Policies to foster green fdi: best practices for emerging market and developing economies. Staff Climate Notes 2024(004), A001.10.5089/9798400289927.066CrossRefGoogle Scholar
Juliana Fernandes, S.S. and Leopold, J.K.. (2020). When consumers learn to spot deception in advertising: testing a literacy intervention to combat greenwashing. International Journal of Advertising 39(7), 1115–1149.10.1080/02650487.2020.1765656CrossRefGoogle Scholar
Karásek, J. and Pavlica, J.. (2016). Green investment scheme: experience and results in the czech republic. Energy Policy 90, 121–130.10.1016/j.enpol.2015.12.020CrossRefGoogle Scholar
Karpf, A. and Mandel, A.. (2018). The changing value of the ‘green’ label on the us municipal bond market. Nature Climate Change 8, 161–165.10.1038/s41558-017-0062-0CrossRefGoogle Scholar
Kesidou, E. and Demirel, P.. (2012). On the drivers of eco-innovations: empirical evidence from the uk. Research Policy 41(5), 862–870.10.1016/j.respol.2012.01.005CrossRefGoogle Scholar
Laufer, W.S. (2003). Social accountability and corporate greenwashing. Journal of Business Ethics 43(3), 253–261.10.1023/A:1022962719299CrossRefGoogle Scholar
Leng, M. and Parlar, M.. (2005). Game theoretic applications in supply chain management: a review. INFOR: Information Systems and Operational Research 43(3), 187–220.Google Scholar
Liu, C., Song, Y., Wang, W. and Shi, X.. (2023). The governance of manufacturers’ greenwashing behaviors: a tripartite evolutionary game analysis of electric vehicles. Applied Energy 333, 120498.10.1016/j.apenergy.2022.120498CrossRefGoogle Scholar
Liu, Z., Huang, Y.-Q., Shang, W.-L., Zhao, Y.-J., Yang, Z.-L. and Zhao, Z.. (2022b). Precooling energy and carbon emission reduction technology investment model in a fresh food cold chain based on a differential game. Applied Energy 326, 119945.10.1016/j.apenergy.2022.119945CrossRefGoogle Scholar
Liu, Z., Qian, Q., Hu, B., Shang, W.-L., Li, L., Zhao, Y., Zhao, Z. and Han, C.. (2022a). Government regulation to promote coordinated emission reduction among enterprises in the green supply chain based on evolutionary game analysis. Resources, Conservation and Recycling 182, 106290.10.1016/j.resconrec.2022.106290CrossRefGoogle Scholar
Lyon, T.P. and Maxwell, J.W.. (2011). Greenwash: corporate environmental disclosure under threat of audit. Journal of Economics & Management Strategy 20(1), 3–41.Google Scholar
Ma, P., Cui, L. and Xu, D.. (2024). Social comparison inside business groups and strategic change: evidence from group-affiliated chinese firms. Journal of Management Studies 61(8), 3533–3565.10.1111/joms.13009CrossRefGoogle Scholar
Maris, R., Dorner, Z. and Carlsson, F.. (2022). Nudges and monetary incentives: A green partnership? Working Paper in Economics No. 842 - University of Gothenburg.Google Scholar
Marquis, C., Toffel, M.W. and Zhou, Y.. (2016). Scrutiny, norms, and selective disclosure: a global study of greenwashing. Organization Science 27(2), 483–504.10.1287/orsc.2015.1039CrossRefGoogle Scholar
Martin, P.R. and Moser, D.V.. (2016). Managers’ green investment disclosures and investors’ reaction. Journal of Accounting and Economics 61(1), 239–254.10.1016/j.jacceco.2015.08.004CrossRefGoogle Scholar
Massini, S., Lewin, A.Y. and Greve, H.R.. (2005). Innovators and imitators: organizational reference groups and adoption of organizational routines. Research Policy 34(10), 1550–1569.10.1016/j.respol.2005.07.004CrossRefGoogle Scholar
Nieto, M.J. and Papathanassiou, C.. (2025). Different shades of green: Eu corporate disclosure rules and their effectiveness in limiting “greenwashing”. Occasional Paper Series, European Central Bank (370).Google Scholar
Ohtsuki, H. and Nowak, M.A.. (2006). The replicator equation on graphs. Journal of Theoretical Biology 243(1), 86–97.10.1016/j.jtbi.2006.06.004CrossRefGoogle ScholarPubMed
Parguel, B., Benoît-Moreau, F. and Larceneux, F.. (2011). How sustainability ratings might deter ”Greenwashing”: a closer look at ethical corporate communication. Journal of Business Ethics 102(1), 15–28.10.1007/s10551-011-0901-2CrossRefGoogle Scholar
Pekovic, S., Grolleau, G. and Mzoughi, N.. (2018). Environmental investments: too much of a good thing? International Journal of Production Economics 197, 297–302.10.1016/j.ijpe.2018.01.012CrossRefGoogle Scholar
RepRisk Report, J. (2022). Spotting greenwashing with esg data. Accessed: 2024-09-30. Available at: https://www.reprisk.com/research-insights/reports/spotting-greenwashing-with-esg-data.Google Scholar
Rezende, S., Alves, A., Bicalho, D. and Versiani, Â.. (2022). The network evolution of the internationalizing firm. Brazilian Business Review 19, 116–132.10.15728/bbr.2021.19.2.1CrossRefGoogle Scholar
Schnabel, I. (2023). Monetary policy tightening and the green transition. Central bank speech, 11 January. Available at: https://www.bis.org/review/r230110k.pdf.Google Scholar
Wang, Y. and Hou, G.. (2020). A duopoly game with heterogeneous green supply chains in optimal price and market stability with consumer green preference. Journal of Cleaner Production 255, 120161.10.1016/j.jclepro.2020.120161CrossRefGoogle Scholar
Wu, M.-W. and Shen, C.-H.. (2013). Corporate social responsibility in the banking industry: motives and financial performance. Journal of Banking & Finance 37(9), 3529–3547.10.1016/j.jbankfin.2013.04.023CrossRefGoogle Scholar
Xu, W., Li, M. and Xu, S.. (2023). Unveiling the “veil” of information disclosure: sustainability reporting “greenwashing” and “shared value. PLOS ONE 18(1), e0279904.10.1371/journal.pone.0279904CrossRefGoogle ScholarPubMed
Yadav, P.L., Han, S.H. and Rho, J.J.. (2016). Impact of environmental performance on firm value for sustainable investment: evidence from large us firms. Business Strategy and the Environment 25(6), 402–420.10.1002/bse.1883CrossRefGoogle Scholar
Yule, G. U. (1925). Ii.—a mathematical theory of evolution, based on the conclusions of dr. j. c. willis, f. r. s. Philosophical Transactions of the Royal Society of London. Series B, Containing Papers of a Biological Character 213(402–410), 21–87.Google Scholar
Zeng, F., Wang, J. and Zeng, C.. (2025). An optimized machine learning framework for predicting and interpreting corporate esg greenwashing behavior. PLOS ONE 20(3), e0316287.10.1371/journal.pone.0316287CrossRefGoogle ScholarPubMed
Zhang, D. (2022a). Environmental regulation, green innovation, and export product quality: what is the role of greenwashing? International Review of Financial Analysis 83, 102311.10.1016/j.irfa.2022.102311CrossRefGoogle Scholar
Zhang, D. (2022b). Green financial system regulation shock and greenwashing behaviors: evidence from chinese firms. Energy Economics 111, 106064.10.1016/j.eneco.2022.106064CrossRefGoogle Scholar
Zhou, Y. and Gu, A.. (2019). Learning curve analysis of wind power and photovoltaics technology in us: cost reduction and the importance of research, development and demonstration. Sustainability 11(8), 2310.10.3390/su11082310CrossRefGoogle Scholar