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Competitive Diffusion and Sustainability Transitions: The Case of Plastics Recycling Technologies

Author

Listed:
  • Imen Bouhlel

    (ESSEC Business School, France)

  • Nathalie Lazaric

    (Université Côte d'Azur, CNRS, GREDEG, France)

  • Paolo Zeppini

    (Université Côte d'Azur, CNRS, GREDEG, France)

Abstract

Climate change calls for a transition to a more sustainable economy. Incumbent technologies pose a barrier to the diffusion of innovative solutions. Furthermore, the benefits of novel sustainable practices, such as recycling, can be offset by the adoption of obsolete polluting technologies. Understanding the mechanism of competitive diffusion is crucial for designing policies that favour promising but underdeveloped technologies. We propose an agent-based model where adoption occurs in a social network by word-of-mouth, in a percolation framework. We study how learning affects competitive diffusion and find that small differences in technologies' costs lead to large differences in their diffusion sizes. In addition, increasing the number of early adopters can back-fire and hinder overall diffusion. We calibrate the model to data on plastic waste recycling, where alternative solutions such as mechanical and physical/chemical technologies compete for a new market. Green public procurement, tax exemption and R&D boost are implemented for triggering sustainable transitions. The direction of technical change is discussed, as well as the role of policymakers in creating a shift in the plastic value chain.

Suggested Citation

  • Imen Bouhlel & Nathalie Lazaric & Paolo Zeppini, 2026. "Competitive Diffusion and Sustainability Transitions: The Case of Plastics Recycling Technologies," GREDEG Working Papers 2026-04, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  • Handle: RePEc:gre:wpaper:2026-04
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    References listed on IDEAS

    as
    1. M. E. J. Newman & D. J. Watts, 1999. "Scaling and Percolation in the Small-World Network Model," Working Papers 99-05-034, Santa Fe Institute.
    2. Eric Brouillat & Vanessa Oltra, 2012. "Dynamic efficiency of extended producer responsibility instruments in a simulation model of industrial dynamics," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 21(4), pages 971-1009, August.
    3. Philipp Mundt & Ivan Savin & Uwe Cantner & Hiroyasu Inoue & Simone Vannuccini, 2023. "Peer Effects in Productivity and Differential Growth: A Global Value-Chain Perspective," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(6), pages 1267-1285.
    4. Mariana Mazzucato, 2018. "Mission-oriented innovation policies: challenges and opportunities," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(5), pages 803-815.
    5. Wander Jager & Marco A. Janssen, 2002. "Stimulating diffusion of green products," Journal of Evolutionary Economics, Springer, vol. 12(3), pages 283-306.
    6. Giovanni Dosi & Richard R. Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Eurasia Business and Economics Society, vol. 3(1), pages 3-46, Spring.
    7. Cowan, Robin & Jonard, Nicolas, 2004. "Network structure and the diffusion of knowledge," Journal of Economic Dynamics and Control, Elsevier, vol. 28(8), pages 1557-1575, June.
    8. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    9. Béla Nagy & J Doyne Farmer & Quan M Bui & Jessika E Trancik, 2013. "Statistical Basis for Predicting Technological Progress," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    10. Matthew O. Jackson & Leeat Yariv, 2007. "Diffusion of Behavior and Equilibrium Properties in Network Games," American Economic Review, American Economic Association, vol. 97(2), pages 92-98, May.
    11. Mariana Mazzucato, 2015. "The Green Entrepreneurial State," SPRU Working Paper Series 2015-28, SPRU - Science Policy Research Unit, University of Sussex Business School.
    12. Nathalie Lazaric & Fabrice Guel & Jean Belin & Vanessa Oltra & Sébastien Lavaud & Ali Douai, 2020. "Determinants of sustainable consumption in France: the importance of social influence and environmental values," Journal of Evolutionary Economics, Springer, vol. 30(5), pages 1337-1366, November.
    13. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2021. "Public policies and the art of catching up: matching the historical evidence with a multicountry agent-based model [Catching up, forging ahead, and falling behind]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(4), pages 1011-1036.
    14. Martin Hohnisch & Sabine Pittnauer & Dietrich Stauffer, 2008. "A percolation-based model explaining delayed takeoff in new-product diffusion," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(5), pages 1001-1017, October.
    15. Alan Murray & Keith Skene & Kathryn Haynes, 2017. "The Circular Economy: An Interdisciplinary Exploration of the Concept and Application in a Global Context," Journal of Business Ethics, Springer, vol. 140(3), pages 369-380, February.
    16. repec:spo:wpmain:info:hdl:2441/3s3jn8tt5h9mab7fo128gecbhj is not listed on IDEAS
    17. Effie Kesidou & Sorin M.S Krammer & Lichao Wu, 2024. "Subnational institutions, firm capabilities and eco-innovation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 33(6), pages 1460-1486.
    18. Elena Tur & Paolo Zeppini & Koen Frenken, 2018. "Diffusion with social reinforcement: The role of individual preferences," Post-Print halshs-01952459, HAL.
    19. Francesco Crespi & Dario Guarascio, 2019. "The demand-pull effect of public procurement on innovation and industrial renewal," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(4), pages 793-815.
    20. Smith, Adrian & Voß, Jan-Peter & Grin, John, 2010. "Innovation studies and sustainability transitions: The allure of the multi-level perspective and its challenges," Research Policy, Elsevier, vol. 39(4), pages 435-448, May.
    21. Giovanni Dosi & Richard Nelson, 2013. "The Evolution of Technologies: An Assessment of the State-of-the-Art," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(1), pages 3-46, June.
    22. Solomon, Sorin & Weisbuch, Gerard & de Arcangelis, Lucilla & Jan, Naeem & Stauffer, Dietrich, 2000. "Social percolation models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 277(1), pages 239-247.
    23. Foxon, Timothy J., 2011. "A coevolutionary framework for analysing a transition to a sustainable low carbon economy," Ecological Economics, Elsevier, vol. 70(12), pages 2258-2267.
    24. Korhonen, Jouni & Honkasalo, Antero & Seppälä, Jyri, 2018. "Circular Economy: The Concept and its Limitations," Ecological Economics, Elsevier, vol. 143(C), pages 37-46.
    25. Rengs, Bernhard & Scholz-Wäckerle, Manuel & van den Bergh, Jeroen, 2020. "Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 332-368.
    26. Grazia Cecere & Nicoletta Corrocher & Cédric Gossart & Muge Ozman, 2014. "Lock-in and path dependence: an evolutionary approach to eco-innovations," Journal of Evolutionary Economics, Springer, vol. 24(5), pages 1037-1065, November.
    27. Eric Brouillat & Maïder Saint Jean & Nabila Arfaoui, 2018. "“Reach for the sky”: modeling the impact of policy stringency on industrial dynamics in the case of the REACH regulation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(2), pages 289-320.
    28. Zeppini, Paolo & van den Bergh, Jeroen C.J.M., 2020. "Global competition dynamics of fossil fuels and renewable energy under climate policies and peak oil: A behavioural model," Energy Policy, Elsevier, vol. 136(C).
    29. Melissa A. Schilling & Corey C. Phelps, 2007. "Interfirm Collaboration Networks: The Impact of Large-Scale Network Structure on Firm Innovation," Management Science, INFORMS, vol. 53(7), pages 1113-1126, July.
    30. Elmar Kiesling & Markus Günther & Christian Stummer & Lea Wakolbinger, 2012. "Agent-based simulation of innovation diffusion: a review," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(2), pages 183-230, June.
    31. Jasper Hepp, 2022. "Being small at the right moment: Path dependence after a shift in the technological regime [What Happened to U.S. Business Dynamism? Working Paper 25756]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(2), pages 464-499.
    32. repec:spo:wpmain:info:hdl:2441/1nlv566svi86iqtetenms15tc4 is not listed on IDEAS
    33. M. Ozman, 2009. "Inter-firm networks and innovation: a survey of literature," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(1), pages 39-67.
    34. Geels, Frank W. & Ayoub, Martina, 2023. "A socio-technical transition perspective on positive tipping points in climate change mitigation: Analysing seven interacting feedback loops in offshore wind and electric vehicles acceleration," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
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    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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