IDEAS home Printed from https://ideas.repec.org/a/eee/streco/v69y2024icp617-631.html
   My bibliography  Save this article

A systematic review of agent-based modelling in the circular economy: Insights towards a general model

Author

Listed:
  • Rizzati, Massimiliano
  • Landoni, Matteo

Abstract

Circular Economy (CE) is a popular topic for governments and businesses around the world; yet, only a few comprehensive and economy-wide frameworks exist, and the consequences of the CE on economic systems stay unclear. With this systematic review, we put under scrutiny the existing contributions to Circular Economy (CE) that apply the Agent-based modelling methodology. There is an open gap in the CE literature regarding the use of ABM. The research question that guides this systematic review concerns the potential benefit of ABM for CE and how to use this methodology in the context of CE. We put in evidence three thematic areas, two agents and one process, namely producers, i.e. firms and industrial systems, consumers, i.e. households and waste disposal, and the diffusion of innovation. We infer that the former three thematic strands of literature can be further synthetized together to form a general model of the Circular Economy. This development is crucial to properly evaluate how the agent's heterogeneity affects the diffusion and the consequences of the adoption of CE practices on the economy. Research has widely applied ABM simulations to consider the impact of heterogeneity amongst individuals and their behavioural interactions on the evolution of complex systems, yet very little did it systematically about CE. Our results complement those of Computable General Equilibrium models. The review provides an interpretative framework, suggests valuable future research directions within the new comprehensive thematic area, and contributes to the theoretical and managerial discussion on agent-based modelling in the circular economy.

Suggested Citation

  • Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
  • Handle: RePEc:eee:streco:v:69:y:2024:i:c:p:617-631
    DOI: 10.1016/j.strueco.2024.03.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0954349X24000493
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.strueco.2024.03.013?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Modgil, Sachin & Gupta, Shivam & Sivarajah, Uthayasankar & Bhushan, Bharat, 2021. "Big data-enabled large-scale group decision making for circular economy: An emerging market context," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Provin, Ana Paula & Dutra, Ana Regina de Aguiar & de Sousa e Silva Gouveia, Isabel Cristina Aguiar & Cubas, e Anelise Leal Vieira, 2021. "Circular economy for fashion industry: Use of waste from the food industry for the production of biotextiles," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    4. Fraccascia, Luca, 2020. "Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study," Ecological Economics, Elsevier, vol. 170(C).
    5. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    6. Fraccascia, Luca & Yazan, Devrim Murat & Albino, Vito & Zijm, Henk, 2020. "The role of redundancy in industrial symbiotic business development: A theoretical framework explored by agent-based simulation," International Journal of Production Economics, Elsevier, vol. 221(C).
    7. 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.
    8. Hancong Ma & Mei Li & Xin Tong & Ping Dong, 2023. "Community-Level Household Waste Disposal Behavior Simulation and Visualization under Multiple Incentive Policies—An Agent-Based Modelling Approach," Sustainability, MDPI, vol. 15(13), pages 1-15, July.
    9. Walter R. Stahel, 2016. "The circular economy," Nature, Nature, vol. 531(7595), pages 435-438, March.
    10. Benoît Desmarchelier & Faridah Djellal & Faïz Gallouj, 2013. "La tertiarisation favorise-t-elle la production de déchets municipaux ? La discussion d'un paradoxe à partir d'un modèle multi-agents," Revue d'économie politique, Dalloz, vol. 123(1), pages 83-126.
    11. J. Brusselaers & K. Breemersch & T. Geerken & M. Christis & B. Lahcen & Y. Dams, 2022. "Correction to: Macroeconomic and environmental consequences of circular economy measures in a small open economy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 819-819, June.
    12. Ancillai, Chiara & Sabatini, Andrea & Gatti, Marco & Perna, Andrea, 2023. "Digital technology and business model innovation: A systematic literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    13. Christof Knoeri & Igor Nikolic & Hans-Joerg Althaus & Claudia R. Binder, 2014. "Enhancing Recycling of Construction Materials: An Agent Based Model with Empirically Based Decision Parameters," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-10.
    14. Elena Romero & M. Carmen Ruiz, 2013. "Framework for Applying a Complex Adaptive System Approach to Model the Operation of Eco‐Industrial Parks," Journal of Industrial Ecology, Yale University, vol. 17(5), pages 731-741, October.
    15. Yu, Xiang, 2023. "An assessment of the green development efficiency of industrial parks in China: Based on non-desired output and non-radial DEA model," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 81-88.
    16. Robinson, Scott A. & Rai, Varun, 2015. "Determinants of spatio-temporal patterns of energy technology adoption: An agent-based modeling approach," Applied Energy, Elsevier, vol. 151(C), pages 273-284.
    17. Behl, Abhishek & Singh, Ramandeep & Pereira, Vijay & Laker, Benjamin, 2023. "Analysis of Industry 4.0 and circular economy enablers: A step towards resilient sustainable operations management," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    18. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
    19. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    20. Doussoulin, Jean Pierre & Bittencourt, Mariana, 2022. "How effective is the construction sector in promoting the circular economy in Brazil and France? : A waste input-output analysis," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 47-58.
    21. Özge Dilaver & Robert Calvert Jump & Paul Levine, 2018. "Agent‐Based Macroeconomics And Dynamic Stochastic General Equilibrium Models: Where Do We Go From Here?," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1134-1159, September.
    22. Caiani, Alessandro & Godin, Antoine & Caverzasi, Eugenio & Gallegati, Mauro & Kinsella, Stephen & Stiglitz, Joseph E., 2016. "Agent based-stock flow consistent macroeconomics: Towards a benchmark model," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 375-408.
    23. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    24. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    25. Yazan, Devrim Murat & Fraccascia, Luca & Mes, Martijn & Zijm, Henk, 2018. "Cooperation in manure-based biogas production networks: An agent-based modeling approach," Applied Energy, Elsevier, vol. 212(C), pages 820-833.
    26. Desmarchelier, Benoît & Djellal, Faridah & Gallouj, Faïz, 2013. "Environmental policies and eco-innovations by service firms: An agent-based model," Technological Forecasting and Social Change, Elsevier, vol. 80(7), pages 1395-1408.
    27. Stummer, Christian & Kiesling, Elmar & Günther, Markus & Vetschera, Rudolf, 2015. "Innovation diffusion of repeat purchase products in a competitive market: An agent-based simulation approach," European Journal of Operational Research, Elsevier, vol. 245(1), pages 157-167.
    28. 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.
    29. Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    30. Shi, Xiaoran & Thanos, Aristotelis E. & Celik, Nurcin, 2014. "Multi-objective agent-based modeling of single-stream recycling programs," Resources, Conservation & Recycling, Elsevier, vol. 92(C), pages 190-205.
    31. Yu, Xiang & Zhang, Yongsheng, 2021. "An economic mechanism of industrial ecology: Theory and evidence," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 14-22.
    32. Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 4, pages 1-32.
    33. Christopher S Ruebeck & Jeffrey O Pfaffmann, 2011. "Open- and Closed-Loop Supply Chain Dynamics: Specification and Exploration of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 85-108.
    34. Nicholas Stern, 2016. "Economics: Current climate models are grossly misleading," Nature, Nature, vol. 530(7591), pages 407-409, February.
    35. Dawid, Herbert, 2006. "Agent-based Models of Innovation and Technological Change," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 25, pages 1235-1272, Elsevier.
    36. Kirchherr, Julian & Reike, Denise & Hekkert, Marko, 2017. "Conceptualizing the circular economy: An analysis of 114 definitions," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 221-232.
    37. Wang, Yacan & Zhu, Quan & Krikke, Harold & Hazen, Benjamin, 2020. "How product and process knowledge enable consumer switching to remanufactured laptop computers in circular economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    38. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "An Agent-based Stock-flow Consistent Model of the Sustainable Transition in the Energy Sector," Ecological Economics, Elsevier, vol. 145(C), pages 274-300.
    39. Sauvageau, Gabriel & Frayret, Jean-Marc, 2015. "Waste paper procurement optimization: An agent-based simulation approach," European Journal of Operational Research, Elsevier, vol. 242(3), pages 987-998.
    40. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    41. Devrim Murat Yazan & Luca Fraccascia, 2020. "Sustainable operations of industrial symbiosis: an enterprise input-output model integrated by agent-based simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 58(2), pages 392-414, January.
    42. repec:hal:spmain:info:hdl:2441/1nlv566svi86iqtetenms15tc4 is not listed on IDEAS
    43. Demartini, Melissa & Bertani, Filippo & Tonelli, Flavio & Raberto, Marco & Cincotti, Silvano, 2021. "An investigation into modelling approaches for industrial symbiosis: a literature review," MPRA Paper 107448, University Library of Munich, Germany.
    44. Palmer, J. & Sorda, G. & Madlener, R., 2015. "Modeling the diffusion of residential photovoltaic systems in Italy: An agent-based simulation," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 106-131.
    45. Despeisse, M. & Baumers, M. & Brown, P. & Charnley, F. & Ford, S.J. & Garmulewicz, A. & Knowles, S. & Minshall, T.H.W. & Mortara, L. & Reed-Tsochas, F.P. & Rowley, J., 2017. "Unlocking value for a circular economy through 3D printing: A research agenda," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 75-84.
    46. Fernandez-Mena, Hugo & Gaudou, Benoit & Pellerin, Sylvain & MacDonald, Graham K. & Nesme, Thomas, 2020. "Flows in Agro-food Networks (FAN): An agent-based model to simulate local agricultural material flows," Agricultural Systems, Elsevier, vol. 180(C).
    47. Gurgone, Andrea & Iori, Giulia & Jafarey, Saqib, 2018. "The effects of interbank networks on efficiency and stability in a macroeconomic agent-based model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 257-288.
    48. Zong, Yi & Gu, Guoda, 2022. "The threshold effect of manufacturing Servitization on carbon emission: An empirical analysis based on multinational panel data," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 353-364.
    49. Andrew McCarthy & Rob Dellink & Ruben Bibas, 2018. "The Macroeconomics of the Circular Economy Transition: A Critical Review of Modelling Approaches," OECD Environment Working Papers 130, OECD Publishing.
    50. Tang, Ming & Liao, Huchang, 2021. "Multi-attribute large-scale group decision making with data mining and subgroup leaders: An application to the development of the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    51. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    52. Biondo, Alessio Emanuele & Cellini, Roberto & Cuccia, Tiziana, 2022. "Cultural consumption in times of lock-down: An agent-based model of choice," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 430-440.
    53. Mitja Steinbacher & Matthias Raddant & Fariba Karimi & Eva Camacho Cuena & Simone Alfarano & Giulia Iori & Thomas Lux, 2021. "Advances in the agent-based modeling of economic and social behavior," SN Business & Economics, Springer, vol. 1(7), pages 1-24, July.
    54. Kamble, Sachin S. & Belhadi, Amine & Gunasekaran, Angappa & Ganapathy, L. & Verma, Surabhi, 2021. "A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    55. Broccardo, Laura & Zicari, Adrián & Jabeen, Fauzia & Bhatti, Zeeshan A., 2023. "How digitalization supports a sustainable business model: A literature review," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    56. Zheng Wang & Zixuan Yao & Gaoxiang Gu & Fei Hu & Xiaoye Dai, 2014. "Multi-agent-based simulation on technology innovation-diffusion in China," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 385-408, June.
    57. J. Raimbault & J. Broere & M. Somveille & J. M. Serna & E. Strombom & C. Moore & B. Zhu & L. Sugar, 2020. "A spatial agent based model for simulating and optimizing networked eco-industrial systems," Papers 2003.14133, arXiv.org.
    58. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2022. "Why do we need agent-based macroeconomics?," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 5-29, April.
    59. Korhonen, Jouni & Honkasalo, Antero & Seppälä, Jyri, 2018. "Circular Economy: The Concept and its Limitations," Ecological Economics, Elsevier, vol. 143(C), pages 37-46.
    60. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    61. Assenza, Tiziana & Delli Gatti, Domenico & Grazzini, Jakob, 2015. "Emergent dynamics of a macroeconomic agent based model with capital and credit," Journal of Economic Dynamics and Control, Elsevier, vol. 50(C), pages 5-28.
    62. Yong-Tong Chen & Zhong-Chen Cao, 2020. "An Investigation on a Closed-Loop Supply Chain of Product Recycling Using a Multi-Agent and Priority Based Genetic Algorithm Approach," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
    63. He, Zhou & Xiong, Jie & Ng, Tsan Sheng & Fan, Bo & Shoemaker, Christine A., 2017. "Managing competitive municipal solid waste treatment systems: An agent-based approach," European Journal of Operational Research, Elsevier, vol. 263(3), pages 1063-1077.
    64. Ahmad, Farhan & Bask, Anu & Laari, Sini & Robinson, Craig V., 2023. "Business management perspectives on the circular economy: Present state and future directions," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    65. Rémy Courdier & François Guerrin & Fenintsoa Andriamasinoro & Jean-Marie Paillat, 2002. "Agent-Based Simulation of Complex Systems: Application to Collective Management of Animal Wastes," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-4.
    66. Hondroyiannis, G. & Sardianou, E. & Nikou, V. & Evangelinos, K. & Nikolaou, I., 2024. "Circular economy and macroeconomic performance: Evidence across 28 European countries," Ecological Economics, Elsevier, vol. 215(C).
    67. Martin Prause & Christina Günther, 2019. "Technology diffusion of Industry 4.0: an agent-based approach," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 9(1/2), pages 29-48.
    68. Mohammed Dahane & M’hammed Sahnoun & Belgacem Bettayeb & David Baudry & Hamza Boudhar, 2017. "Impact of spare parts remanufacturing on the operation and maintenance performance of offshore wind turbines: a multi-agent approach," Journal of Intelligent Manufacturing, Springer, vol. 28(7), pages 1531-1549, October.
    69. Desmarchelier, Benoît & Fang, Eddy S., 2016. "National culture and innovation diffusion. Exploratory insights from agent-based modeling," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 121-128.
    70. Chauhan, Chetna & Parida, Vinit & Dhir, Amandeep, 2022. "Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    71. Christophe Le Page & Nicolas Becu & Pierre Bommel & François Bousquet, 2012. "Participatory Agent-Based Simulation for Renewable Resource Management: The Role of the Cormas Simulation Platform to Nurture a Community of Practice," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-10.
    72. J. Brusselaers & K. Breemersch & T. Geerken & M. Christis & B. Lahcen & Y. Dams, 2022. "Macroeconomic and environmental consequences of circular economy measures in a small open economy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(2), pages 283-306, April.
    73. Gupta, Shivam & Chen, Haozhe & Hazen, Benjamin T. & Kaur, Sarabjot & Santibañez Gonzalez, Ernesto D.R., 2019. "Circular economy and big data analytics: A stakeholder perspective," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 466-474.
    74. Zhikun Ding & Wenyan Gong & Shenghan Li & Zezhou Wu, 2018. "System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    75. Awan, Usama & Shamim, Saqib & Khan, Zaheer & Zia, Najam Ul & Shariq, Syed Muhammad & Khan, Muhammad Naveed, 2021. "Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    76. Bigerna, Simona & Micheli, Silvia & Polinori, Paolo, 2021. "New generation acceptability towards durability and repairability of products: Circular economy in the era of the 4th industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    77. Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2022. "A new artificial neural networks algorithm to analyze the nexus among logistics performance, energy demand, and environmental degradation," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 315-328.
    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. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2023. "Enter the MATRIX model:a Multi-Agent model for Transition Risks with application to energy shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    2. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    3. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2023. "Energy price shocks and stabilization policies in the MATRIX model," Energy Policy, Elsevier, vol. 177(C).
    4. Ciola, Emanuele & Turco, Enrico & Gurgone, Andrea & Bazzana, Davide & Vergalli, Sergio & Menoncin, Francesco, 2022. "Charging the macroeconomy with an energy sector: an agent-based model," FEEM Working Papers 319877, Fondazione Eni Enrico Mattei (FEEM).
    5. Ahmad, Farhan & Bask, Anu & Laari, Sini & Robinson, Craig V., 2023. "Business management perspectives on the circular economy: Present state and future directions," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    6. Huynh Evertsen, Phuc & Rasmussen, Einar & Nenadic, Oleg, 2022. "Commercializing circular economy innovations: A taxonomy of academic spin-offs," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    7. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2018. "Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-based Integrated Assessment Model," Ecological Economics, Elsevier, vol. 150(C), pages 315-339.
    8. Yongchao Zeng & Peiwu Dong & Yingying Shi & Yang Li, 2018. "On the Disruptive Innovation Strategy of Renewable Energy Technology Diffusion: An Agent-Based Model," Energies, MDPI, vol. 11(11), pages 1-21, November.
    9. Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Turco, Enrico & Vergalli, Sergio, 2024. "Warming the MATRIX: Uncertainty and heterogeneity in climate change impacts and policy targets in the Euro Area," Energy Economics, Elsevier, vol. 134(C).
    10. Turco, Enrico & Bazzana, Davide & Rizzati, Massimiliano & Ciola, Emanuele & Vergalli, Sergio, 2022. "Energy price shocks and stabilization policies in a multi-agent macroeconomic model for the Euro Area," FEEM Working Papers 324171, Fondazione Eni Enrico Mattei (FEEM).
    11. Rosangela de Fátima Pereira Marquesone & Tereza Cristina Melo de Brito Carvalho, 2022. "Examining the Nexus between the Vs of Big Data and the Sustainable Challenges in the Textile Industry," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    12. Marco Raberto & Bulent Ozel & Linda Ponta & Andrea Teglio & Silvano Cincotti, 2019. "From financial instability to green finance: the role of banking and credit market regulation in the Eurace model," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 429-465, March.
    13. Ciarli, Tommaso & Savona, Maria, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," Ecological Economics, Elsevier, vol. 158(C), pages 51-64.
    14. Andrew G. Haldane & Arthur E. Turrell, 2019. "Drawing on different disciplines: macroeconomic agent-based models," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 39-66, March.
    15. Naqvi, Asjad & Stockhammer, Engelbert, 2018. "Directed Technological Change in a Post-Keynesian Ecological Macromodel," Ecological Economics, Elsevier, vol. 154(C), pages 168-188.
    16. Adão, Luiz F.S. & Silveira, Douglas & Ely, Regis A. & Cajueiro, Daniel O., 2022. "The impacts of interest rates on banks’ loan portfolio risk-taking," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    17. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    18. Giovanni Dosi & Andrea Roventini, 2017. "Agent-Based Macroeconomics and Classical Political Economy: Some Italian Roots," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(3), pages 261-283, November.
    19. Hermann, Roberto Rivas & Pansera, Mario & Nogueira, Leticia Antunes & Monteiro, Marko, 2022. "Socio-technical imaginaries of a circular economy in governmental discourse and among science, technology, and innovation actors: A Norwegian case study," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    20. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.

    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:eee:streco:v:69:y:2024:i:c:p:617-631. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/525148 .

    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.