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Paolo Zeppini

Personal Details

First Name:Paolo
Middle Name:
Last Name:Zeppini
Suffix:
RePEc Short-ID:pze43
[This author has chosen not to make the email address public]
Terminal Degree: Center for Nonlinear Dynamics in Economics and Finance (CeNDEF); Faculteit Economie en Bedrijfskunde; Universiteit van Amsterdam (from RePEc Genealogy)

Affiliation

(15%) Department of Economics
University of Bath

Bath, United Kingdom
http://www.bath.ac.uk/economics/
RePEc:edi:debatuk (more details at EDIRC)

(85%) Groupe de REcherche en Droit, Économie, Gestion (GREDEG)
École Universitaire de Recherche d'Économie et de Management (ELMI)
Université Côte d'Azur

Nice, France
https://gredeg.univ-cotedazur.fr/
RePEc:edi:credcfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Sanjit Dhami & Paolo Zeppini, 2024. "Green Technology Adoption under Uncertainty, Increasing Returns, and Complex Adaptive Dynamics," CESifo Working Paper Series 10900, CESifo.
  2. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2023. "Does COVID-19 Help or Harm the Climate? Modelling Long-run Emissions under Climate and Stimulus Policies," GREDEG Working Papers 2023-09, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
  3. Paolo Zeppini & Simona Montagnana, 2021. "Modelling Sustainability Transitions Under Covid-19," Post-Print halshs-03503266, HAL.
  4. Arnaud Persenda & Flora Bellone & Paolo Zeppini, 2021. "The Rise of China in the Global Production Network: What can Autocatalytic Sets teach us?," Post-Print halshs-03579942, HAL.
  5. Paolo Zeppini & Koen Frenken, 2018. "Networks, Percolation, and Consumer Demand," Post-Print halshs-01952450, HAL.
  6. Elena Tur & Paolo Zeppini & Koen Frenken, 2018. "Diffusion with social reinforcement: The role of individual preferences," Post-Print halshs-01952459, HAL.
  7. Lorenzo Napolitano & Evangelos Evangelou & Emanuele Pugliese & Paolo Zeppini & Graham Room, 2017. "Technology networks: the autocatalytic origins of innovation," Papers 1708.03511, arXiv.org, revised Apr 2018.
  8. Luigi Marengo & Paolo Zeppini, 2016. "The arrival of the new," Post-Print hal-04575570, HAL.
  9. Paolo Zeppini & Koen Frenken, 2015. "Networks, Percolation, and Demand," Department of Economics Working Papers 38/15, University of Bath, Department of Economics.
  10. Paolo Zeppini, 2014. "A discrete choice model of transitions to sustainable technologies: speed limits and optimal monetary policies," Department of Economics Working Papers 28/14, University of Bath, Department of Economics.
  11. Cees Diks & Cars Hommes & Paolo Zeppini, 2013. "More memory under evolutionary learning may lead to chaos," Post-Print hal-04575563, HAL.
  12. Zeppini Rossi, P., 2013. "A Discrete Choice Model of Transitions to Sustainable Technologies," CeNDEF Working Papers 13-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  13. Hommes, C.H. & Zeppini Rossi, P., 2013. "Innovate or Imitate? Behavioural Technological Change," CeNDEF Working Papers 13-18, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  14. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "The complexity of transitions," Working Papers 13-04, Eindhoven Center for Innovation Studies, revised Mar 2013.
  15. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
  16. Paolo Zeppini & Koen Frenken & Luis R. Izquierdo, 2013. "Innovation diffusion in networks: the microeconomics of percolation," Working Papers 13-02, Eindhoven Center for Innovation Studies, revised Feb 2013.
  17. Koen Frenken & Luis R. Izquierdo & Paolo Zeppini, 2012. "Recombinant Innovation and Endogenous Transitions," Working Papers 12-01, Eindhoven Center for Innovation Studies, revised Jan 2012.
  18. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2010. "Competing Recombinant Technologies for Environmental Innovation," Tinbergen Institute Discussion Papers 10-107/1, Tinbergen Institute.
  19. Zeppini Rossi, P. & Bergh, J.C.J.M. van der, 2008. "Optimal Diversity in Investments with Recombinant Innovation," CeNDEF Working Papers 08-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

Articles

  1. 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).
  2. Paolo Zeppini & Koen Frenken, 2018. "Networks, Percolation, and Consumer Demand," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(3), pages 1-1.
  3. Luigi Marengo & Paolo Zeppini, 2016. "The arrival of the new," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 171-194, March.
  4. Zeppini, Paolo, 2015. "A discrete choice model of transitions to sustainable technologies," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 187-203.
  5. Hommes, Cars & Zeppini, Paolo, 2014. "Innovate or Imitate? Behavioural technological change," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 308-324.
  6. Zeppini, Paolo & van den Bergh, Jeroen C.J.M., 2013. "Optimal diversity in investments with recombinant innovation," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 141-156.
  7. Diks, Cees & Hommes, Cars & Zeppini, Paolo, 2013. "More memory under evolutionary learning may lead to chaos," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 808-812.
  8. Paolo Zeppini & Jeroen C. J. M. van den Bergh, 2011. "Competing Recombinant Technologies for Environmental Innovation: Extending Arthur's Model of Lock-In," Industry and Innovation, Taylor & Francis Journals, vol. 18(3), pages 317-334.

Chapters

  1. Simona Montagnana & Paolo Zeppini, 2021. "Modelling Sustainability Transitions Under Covid-19," Springer Books, in: Fateh Belaïd & Anna Cretì (ed.), Energy Transition, Climate Change, and COVID-19, pages 73-93, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Paolo Zeppini & Koen Frenken, 2018. "Networks, Percolation, and Consumer Demand," Post-Print halshs-01952450, HAL.

    Cited by:

    1. Firouzeh Taghikhah & Tatiana Filatova & Alexey Voinov, 2021. "Where Does Theory Have It Right? A Comparison of Theory-Driven and Empirical Agent Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 24(2), pages 1-4.

  2. Elena Tur & Paolo Zeppini & Koen Frenken, 2018. "Diffusion with social reinforcement: The role of individual preferences," Post-Print halshs-01952459, HAL.

    Cited by:

    1. Michael P. Schlaile & Johannes Zeman & Matthias Mueller, 2018. "It’s a match! Simulating compatibility-based learning in a network of networks," Journal of Evolutionary Economics, Springer, vol. 28(5), pages 1111-1150, December.
    2. Xuzhen Zhu & Jinming Ma & Xin Su & Hui Tian & Wei Wang & Shimin Cai, 2019. "Information Spreading on Weighted Multiplex Social Network," Complexity, Hindawi, vol. 2019, pages 1-15, November.

  3. Lorenzo Napolitano & Evangelos Evangelou & Emanuele Pugliese & Paolo Zeppini & Graham Room, 2017. "Technology networks: the autocatalytic origins of innovation," Papers 1708.03511, arXiv.org, revised Apr 2018.

    Cited by:

    1. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. Flora Bellone & Arnaud Persenda & Paolo Zeppini, 2024. "The Rise of China in the Global Production Network: What Can Autocatalytic Sets Teach Us?," GREDEG Working Papers 2024-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    3. Giambattista Albora & Matteo Straccamore & Andrea Zaccaria, 2024. "Machine learning-based similarity measure to forecast M&A from patent data," Papers 2404.07179, arXiv.org.
    4. Emanuele Pugliese & Lorenzo Napolitano & Andrea Zaccaria & Luciano Pietronero, 2019. "Coherent diversification in corporate technological portfolios," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-22, October.
    5. Frank Neffke & Angelica Sbardella & Ulrich Schetter & Andrea Tacchella, 2024. "Economic Complexity Analysis," Papers in Evolutionary Economic Geography (PEEG) 2430, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2024.
    6. Hafele, Jakob & Le Lannou, Laure-Alizée & Rochowicz, Nils & Kuhls, Sonia & Gräbner-Radkowitsch, Claudius, 2023. "Securing future-fit jobs in the green transformation: A policy framework for industrial policy," ZOE Discussion Papers 10, ZOE. institute for future-fit economies, Bonn.
    7. Francesco de Cunzo & Alberto Petri & Andrea Zaccaria & Angelica Sbardella, 2022. "The trickle down from environmental innovation to productive complexity," Papers 2206.07537, arXiv.org.
    8. Napolitano, Lorenzo & Sbardella, Angelica & Consoli, Davide & Barbieri, Nicolò & Perruchas, François, 2022. "Green innovation and income inequality: A complex system analysis," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 224-240.
    9. Pichler, Anton & Lafond, François & Farmer, J. Doyne, 2020. "Technological interdependencies predict innovation dynamics," INET Oxford Working Papers 2020-04, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    10. Emanuele Pugliese & Lorenzo Napolitano & Matteo Chinazzi & Guido Chiarotti, 2019. "The Emergence of Innovation Complexity at Different Geographical and Technological Scales," Papers 1909.05604, arXiv.org.
    11. Arnaud Persenda & Alexandre Ruiz, 2023. "Autocatalytic Networks and the Green Economy," GREDEG Working Papers 2023-16, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    12. Sabrina Aufiero & Giordano De Marzo & Angelica Sbardella & Andrea Zaccaria, 2023. "Mapping job complexity and skills into wages," Papers 2304.05251, arXiv.org.
    13. Angelica Sbardella & Andrea Zaccaria & Luciano Pietronero & Pasquale Scaramozzino, 2021. "Behind the Italian Regional Divide: An Economic Fitness and Complexity Perspective," LEM Papers Series 2021/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

  4. Luigi Marengo & Paolo Zeppini, 2016. "The arrival of the new," Post-Print hal-04575570, HAL.

    Cited by:

    1. Uwe Cantner & Simone Vannuccini, 2017. "Innovation and lock-in," Chapters, in: Harald Bathelt & Patrick Cohendet & Sebastian Henn & Laurent Simon (ed.), The Elgar Companion to Innovation and Knowledge Creation, chapter 11, pages 165-181, Edward Elgar Publishing.
    2. Zakaria Babutsidze & Maurizio Iacopetta, 2016. "Innovation, growth and financial market," Post-Print halshs-01927001, HAL.
    3. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
    4. Giovanni Dosi & Marcelo C. Pereira & Maria Enrica Virgillito, 2017. "The footprint of evolutionary processes of learning and selection upon the statistical properties of industrial dynamics," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(2), pages 187-210.
    5. Cantner, Uwe & Vannuccini, Simone, 2021. "Pervasive technologies and industrial linkages: Modeling acquired purposes," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 386-399.
    6. Hickey, Joseph, 2024. "Simple model of market share dynamics based on clients’ firm-switching decisions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).

  5. Paolo Zeppini & Koen Frenken, 2015. "Networks, Percolation, and Demand," Department of Economics Working Papers 38/15, University of Bath, Department of Economics.

    Cited by:

    1. Katarzyna Maciejowska & Arkadiusz Jedrzejewski & Anna Kowalska-Pyzalska & Rafal Weron, 2016. "Impact of social interactions on demand curves for innovative products," HSC Research Reports HSC/16/04, Hugo Steinhaus Center, Wroclaw University of Science and Technology.

  6. Cees Diks & Cars Hommes & Paolo Zeppini, 2013. "More memory under evolutionary learning may lead to chaos," Post-Print hal-04575563, HAL.

    Cited by:

    1. Cavalli, Fausto & Naimzada, Ahmad, 2015. "A tâtonnement process with fading memory, stabilization and optimal speed of convergence," Chaos, Solitons & Fractals, Elsevier, vol. 79(C), pages 116-129.
    2. Jiri Kukacka & Jozef Barunik, 2012. "Behavioural breaks in the heterogeneous agent model: the impact of herding, overconfidence, and market sentiment," Papers 1205.3763, arXiv.org, revised May 2013.
    3. Tapia Cortez, Carlos A. & Hitch, Michael & Sammut, Claude & Coulton, Jeff & Shishko, Robert & Saydam, Serkan, 2018. "Determining the embedding parameters governing long-term dynamics of copper prices," Chaos, Solitons & Fractals, Elsevier, vol. 111(C), pages 186-197.
    4. He, Kaijian & Lu, Xingjing & Zou, Yingchao & Keung Lai, Kin, 2015. "Forecasting metal prices with a curvelet based multiscale methodology," Resources Policy, Elsevier, vol. 45(C), pages 144-150.
    5. Xu, Liang & Cao, Xianbin & Du, Wenbo & Li, Yumeng, 2018. "Effects of taxation on the evolution of cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 113(C), pages 63-68.
    6. He, Kaijian & Xu, Yang & Zou, Yingchao & Tang, Ling, 2015. "Electricity price forecasts using a Curvelet denoising based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 425(C), pages 1-9.
    7. Fabio Lamantia & Anghel Negriu & Jan Tuinstra, 2018. "Technology choice in an evolutionary oligopoly game," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 335-356, November.
    8. Lamantia, F. & Negriu, A. & Tuinstra, J., 2016. "Evolutionary Cournot competition with endogenous technology choice: (in)stability and optimal policy," CeNDEF Working Papers 16-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    9. Mikhail Anufriev & Davide Radi & Fabio Tramontana, 2018. "Some reflections on past and future of nonlinear dynamics in economics and finance," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 91-118, November.
    10. Agliari, Anna & Naimzada, Ahmad & Pecora, Nicolò, 2017. "Dynamic effects of memory in a cobweb model with competing technologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 340-350.

  7. Zeppini Rossi, P., 2013. "A Discrete Choice Model of Transitions to Sustainable Technologies," CeNDEF Working Papers 13-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Orsatti, Gianluca & Perruchas, François & Consoli, Davide & Quatraro, Francesco, 2018. "Public Procurement, Local Labor Markets and Green Technological Change: Evidence from US Commuting Zones," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201803, University of Turin.
    2. Davide Radi & Frank Westerhoff, 2024. "The green transition of firms: The role of evolutionary competition, adjustment costs, transition risk, and green technology progress," Papers 2410.20379, arXiv.org.
    3. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
    4. Cavalli, Fausto & Naimzada, Ahmad & Visetti, Daniela, 2024. "Dynamical analysis of healthcare policy effects in an integrated economic-epidemiological model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 221(C), pages 315-336.
    5. Sebastian Heidenreich & Verity Watson & Mandy Ryan & Euan Phimister, 2018. "Decision heuristic or preference? Attribute non‐attendance in discrete choice problems," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 157-171, January.
    6. Fausto Cavalli & Alessandra Mainini & Daniela Visetti, 2024. "The role of taxation in an integrated economic-environmental model: a dynamical analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 47(2), pages 597-626, December.
    7. Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2024. "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," LSE Research Online Documents on Economics 124234, London School of Economics and Political Science, LSE Library.
    8. Fausto Cavalli & Ahmad Naimzada & Enrico Moretto, 2023. "Dynamical analysis of evolutionary transition toward sustainable technologies," Working Papers 510, University of Milano-Bicocca, Department of Economics.
    9. Sanjit Dhami & Paolo Zeppini, 2024. "Green Technology Adoption under Uncertainty, Increasing Returns, and Complex Adaptive Dynamics," CESifo Working Paper Series 10900, CESifo.
    10. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    11. Louison Cahen-Fourot & Emanuele Campiglio & Louis Daumas & Michael Gregor Miess & Andrew Yardley, 2023. "Stranding ahoy? Heterogeneous transition beliefs and capital investment choices," Post-Print hal-04505800, HAL.
    12. Schmitt, Noemi & Tuinstra, Jan & Westerhoff, Frank, 2017. "Side effects of nonlinear profit taxes in an evolutionary market entry model: Abrupt changes, coexisting attractors and hysteresis problems," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 15-38.
    13. Sanjit Dhami, 2023. "Green Technology Adoption, Complexity, and the Role of Public Policy: A Simple Theoretical Model," CESifo Working Paper Series 10364, CESifo.
    14. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2020. "Global competition dynamics of fossil fuels and renewable energy under climate policies and peak oil: A behavioural model," Post-Print hal-02394882, HAL.
    15. Ahmad Naimzada & Marina Pireddu, 2021. "Differentiated goods in a dynamic Cournot duopoly with emission charges on outputs," Working Papers 471, University of Milano-Bicocca, Department of Economics.
    16. Fausto Cavalli & Alessandra Mainini & Daniela Visetti, 2024. "The role of taxation in an integrated economic-environmental model: a dynamical analysis," Working Papers 530, University of Milano-Bicocca, Department of Economics.

  8. Hommes, C.H. & Zeppini Rossi, P., 2013. "Innovate or Imitate? Behavioural Technological Change," CeNDEF Working Papers 13-18, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Zhangqi Zhong & Lingyun He, 2022. "Macro-Regional Economic Structural Change Driven by Micro-founded Technological Innovation Diffusion: An Agent-Based Computational Economic Modeling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 471-525, February.
    2. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    3. Zeppini, Paolo, 2015. "A discrete choice model of transitions to sustainable technologies," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 187-203.
    4. Paolo Zeppini, 2014. "A discrete choice model of transitions to sustainable technologies: speed limits and optimal monetary policies," Department of Economics Working Papers 28/14, University of Bath, Department of Economics.
    5. Hartwig, Johannes, 2022. "Semi-endogenous growth dynamics in a macroeconomic model with delays," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 538-551.
    6. Marwil J. Davila-Fernandez & Serena Sordi, 2022. "The Green-MKS system: A baseline environmental macro-dynamic model," Department of Economics University of Siena 890, Department of Economics, University of Siena.
    7. Schmitt, Noemi & Tuinstra, Jan & Westerhoff, Frank, 2017. "Side effects of nonlinear profit taxes in an evolutionary market entry model: Abrupt changes, coexisting attractors and hysteresis problems," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 15-38.
    8. Schmitt, Noemi & Westerhoff, Frank, 2015. "Evolutionary competition and profit taxes: market stability versus tax burden," BERG Working Paper Series 104, Bamberg University, Bamberg Economic Research Group.
    9. Shu-Heng Chen & Bin-Tzong Chie & Ying-Fang Kao & Ragupathy Venkatachalam, 2019. "Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 305-341, June.
    10. Duffy, John & Ralston, Jason, 2020. "Innovate versus imitate: Theory and experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 727-751.
    11. Dieci, Roberto & Mignot, Sarah & Westerhoff, Frank, 2022. "Production delays, technology choice and cyclical cobweb dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    12. Fabio Lamantia & Anghel Negriu & Jan Tuinstra, 2018. "Technology choice in an evolutionary oligopoly game," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 335-356, November.
    13. Lamantia, F. & Negriu, A. & Tuinstra, J., 2016. "Evolutionary Cournot competition with endogenous technology choice: (in)stability and optimal policy," CeNDEF Working Papers 16-08, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    14. Ahmad Naimzada & Nicolò Pecora & Fabio Tramontana, 2019. "A cobweb model with elements from prospect theory," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 763-778, April.
    15. Mikhail Anufriev & Davide Radi & Fabio Tramontana, 2018. "Some reflections on past and future of nonlinear dynamics in economics and finance," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 41(2), pages 91-118, November.
    16. Hou, Xiaohui & Wang, Bo & Lian, Jiale & Ke, Kong-lin, 2021. "Do CEO's early-life marketization experiences affect the innovation behavior of SMEs?," Journal of Asian Economics, Elsevier, vol. 75(C).
    17. Agliari, Anna & Naimzada, Ahmad & Pecora, Nicolò, 2017. "Dynamic effects of memory in a cobweb model with competing technologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 340-350.

  9. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.

    Cited by:

    1. Vollaro, Michele & Galioto, Francesco & Viaggi, Davide, 2017. "The circular economy and agriculture: new opportunities for re-using Phosphorus as fertilizer," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 5(3), February.
    2. Hongjun Guan & Zhen Zhang & Aiwu Zhao & Shuang Guan, 2019. "Simulating Environmental Innovation Behavior of Private Enterprise with Innovation Subsidies," Complexity, Hindawi, vol. 2019, pages 1-12, May.
    3. Jonathan Köhler & Fjalar de Haan & Georg Holtz & Klaus Kubeczko & Enayat Moallemi & George Papachristos & Emile Chappin, 2018. "Modelling Sustainability Transitions: An Assessment of Approaches and Challenges," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(1), pages 1-8.

  10. Paolo Zeppini & Koen Frenken & Luis R. Izquierdo, 2013. "Innovation diffusion in networks: the microeconomics of percolation," Working Papers 13-02, Eindhoven Center for Innovation Studies, revised Feb 2013.

    Cited by:

    1. Katarzyna Maciejowska & Arkadiusz Jedrzejewski & Anna Kowalska-Pyzalska & Katarzyna Sznajd-Weron & Rafal Weron, 2015. "Two faces of word-of-mouth: Understanding the impact of social interactions on demand curves for innovative products," HSC Research Reports HSC/15/09, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    2. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    3. Solomon Sorin & Golo Natasa, 2013. "Minsky Financial Instability, Interscale Feedback, Percolation and Marshall–Walras Disequilibrium," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 3(3), pages 167-260, October.
    4. Nan Lu, 2018. "La modélisation de l’indice CAC 40 avec un modèle basé agent," Erudite Ph.D Dissertations, Erudite, number ph18-02 edited by François Legendre.
    5. Bogner, Kristina, 2015. "The effect of project funding on innovative performance: An agent-based simulation model," Hohenheim Discussion Papers in Business, Economics and Social Sciences 10-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.

  11. Koen Frenken & Luis R. Izquierdo & Paolo Zeppini, 2012. "Recombinant Innovation and Endogenous Transitions," Working Papers 12-01, Eindhoven Center for Innovation Studies, revised Jan 2012.

    Cited by:

    1. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    2. Lopolito, A. & Morone, P. & Taylor, R., 2013. "Emerging innovation niches: An agent based model," Research Policy, Elsevier, vol. 42(6), pages 1225-1238.
    3. Zeppini, Paolo, 2015. "A discrete choice model of transitions to sustainable technologies," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 187-203.
    4. Lorenzo Napolitano & Evangelos Evangelou & Emanuele Pugliese & Paolo Zeppini & Graham Room, 2018. "Technology networks: the autocatalytic origins of innovation," Post-Print halshs-01952447, HAL.
    5. Bart Los & Carolina Castaldi & Koen Frenken, 2013. "Related Variety, Unrelated Variety and Technological Breakthroughs: An Analysis of U.S. State-Level Patenting," ERSA conference papers ersa13p524, European Regional Science Association.
    6. Paolo Zeppini, 2014. "A discrete choice model of transitions to sustainable technologies: speed limits and optimal monetary policies," Department of Economics Working Papers 28/14, University of Bath, Department of Economics.
    7. André Dumas TSAMBOU & Nicolae BIBU, 2017. "A Comparative Analysis of the Determinants of Innovation Behaviour Between Cameroon, Cote d'Ivoire and Senegal," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 18(3), pages 234-259, July.
    8. Montresor, Sandro & Quatraro, Francesco, 2018. "Green Technologies and Smart Specialisation Strategies: A European Patent-Based Analysis of the Intertwining of Technological Relatedness and Key-Enabling-Technologies," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201804, University of Turin.
    9. Zhang, JingJing & Yan, Yan & Guan, JianCheng, 2019. "Recombinant distance, network governance and recombinant innovation," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 260-272.
    10. Safarzyńska, Karolina & Frenken, Koen & van den Bergh, Jeroen C.J.M., 2012. "Evolutionary theorizing and modeling of sustainability transitions," Research Policy, Elsevier, vol. 41(6), pages 1011-1024.
    11. P. G. J. Persoon & R. N. A. Bekkers & F. Alkemade, 2020. "How cumulative is technological knowledge?," Papers 2012.00095, arXiv.org, revised May 2021.
    12. M. Lynne Markus & Kevin Mentzer, 2014. "Foresight for a responsible future with ICT," Information Systems Frontiers, Springer, vol. 16(3), pages 353-368, July.
    13. Caviggioli, Federico & Jensen, Paul & Scellato, Giuseppe, 2020. "Highly skilled migrants and technological diversification in the US and Europe," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    14. Maciej Tarkowski, 2021. "On the Emergence of Sociotechnical Regimes of Electric Urban Water Transit Systems," Energies, MDPI, vol. 14(19), pages 1-21, September.
    15. Matheus E. Leusin & Bjoern Jindra & Daniel S. Hain, 2021. "An evolutionary view on the emergence of Artificial Intelligence," Papers 2102.00233, arXiv.org.
    16. Artur Santoalha & Davide Consoli & Fulvio Castellacci, 2019. "Do digital skills foster green diversification? A study of European regions," Working Papers on Innovation Studies 20191029, Centre for Technology, Innovation and Culture, University of Oslo.
    17. Lara Agostini & Federico Caviggioli & Francesco Galati & Barbara Bigliardi, 2020. "A social perspective of knowledge-based innovation: mobility and agglomeration. Introduction to the special section," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1309-1323, October.
    18. Aldieri, Luigi & Makkonen, Teemu & Paolo Vinci, Concetto, 2020. "Environmental knowledge spillovers and productivity: A patent analysis for large international firms in the energy, water and land resources fields," Resources Policy, Elsevier, vol. 69(C).
    19. Essletzbichler Jürgen, 2012. "Generalized Darwinism, group selection and evolutionary economic geography," ZFW – Advances in Economic Geography, De Gruyter, vol. 56(1-2), pages 129-146, October.
    20. J. Farmer & Cameron Hepburn & Penny Mealy & Alexander Teytelboym, 2015. "A Third Wave in the Economics of Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 329-357, October.
    21. Maciej Tarkowski & Krystian Puzdrakiewicz, 2021. "Connectivity Benefits of Small Zero-Emission Autonomous Ferries in Urban Mobility—Case of the Coastal City of Gdańsk (Poland)," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    22. van Meeteren, Michiel & Trincado-Munoz, Francisco & Rubin, Tzameret H. & Vorley, Tim, 2022. "Rethinking the digital transformation in knowledge-intensive services: A technology space analysis," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    23. Jürgen Essletzbichler, 2013. "Relatedness, industrial branching and technological cohesion in U.S. metropolitan areas," Papers in Evolutionary Economic Geography (PEEG) 1307, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2013.
    24. Thomas Brenner & Franziska Pudelko, 2019. "The effects of public research and subsidies on regional structural strength," Journal of Evolutionary Economics, Springer, vol. 29(5), pages 1433-1458, November.

  12. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2010. "Competing Recombinant Technologies for Environmental Innovation," Tinbergen Institute Discussion Papers 10-107/1, Tinbergen Institute.

    Cited by:

    1. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    2. Paolo Zeppini, 2014. "A discrete choice model of transitions to sustainable technologies: speed limits and optimal monetary policies," Department of Economics Working Papers 28/14, University of Bath, Department of Economics.
    3. Giulio Cainelli & Massimiliano Mazzanti & Simone Borghesi, 2012. "The European Emission Trading Scheme and environmental innovation diffusion: Empirical analyses using Italian CIS data," Working Papers 201201, University of Ferrara, Department of Economics.
    4. Giulio Cainelli & Massimiliano Mazzanti & Roberto Zoboli, 2011. "Enviromental Innovations, Complementarity and Local/Global Cooperation," Working Papers 201104, University of Ferrara, Department of Economics.

  13. Zeppini Rossi, P. & Bergh, J.C.J.M. van der, 2008. "Optimal Diversity in Investments with Recombinant Innovation," CeNDEF Working Papers 08-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Way, Rupert & Lafond, François & Lillo, Fabrizio & Panchenko, Valentyn & Farmer, J. Doyne, 2019. "Wright meets Markowitz: How standard portfolio theory changes when assets are technologies following experience curves," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 211-238.
    2. Paolo Zeppini & Jeroen C J M van den Bergh, 2013. "Optimal diversity in investments with recombinant innovation," Post-Print hal-04575596, HAL.
    3. Subtil Lacerda, Juliana & van den Bergh, Jeroen C.J.M., 2016. "Diversity in solar photovoltaic energy: Implications for innovation and policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 331-340.
    4. Griffith, Rachel & Lee, Sokbae & Straathof, Bas, 2017. "Recombinant innovation and the boundaries of the firm," International Journal of Industrial Organization, Elsevier, vol. 50(C), pages 34-56.
    5. Paolo Zeppini & Jeroen C J M van den Bergh, 2011. "Competing Recombinant Technologies for Environmental Innovation: Extending Arthur's Model of Lock-In," Post-Print hal-04575578, HAL.
    6. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2010. "Competing Recombinant Technologies for Environmental Innovation," Tinbergen Institute Discussion Papers 10-107/1, Tinbergen Institute.
    7. Jie Hou & Baizhou Li, 2020. "The Evolutionary Game for Collaborative Innovation of the IoT Industry under Government Leadership in China: An IoT Infrastructure Perspective," Sustainability, MDPI, vol. 12(9), pages 1-21, May.
    8. Anton Bondarev & Alfred Greiner, 2018. "Technology lock-in with horizontal and vertical innovations through limited R&D spending," 4OR, Springer, vol. 16(1), pages 51-65, March.
    9. Van den Bergh, J.C.J.M. & Zeppini Rossi, P., 2010. "Competing Recombinant Technologies for Environmental Innovation: Extending Arthur’s Model of Lock-in Abstract: This article presents a model of sequential decisions about investments in environmenta," CeNDEF Working Papers 10-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    10. Martin Fiszbein, 2017. "Agricultural Diversity, Structural Change and Long-run Development: Evidence from the U.S," NBER Working Papers 23183, National Bureau of Economic Research, Inc.

Articles

  1. 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).

    Cited by:

    1. Su, Chi-Wei & Pang, Li-Dong & Qin, Meng & Lobonţ, Oana-Ramona & Umar, Muhammad, 2023. "The spillover effects among fossil fuel, renewables and carbon markets: Evidence under the dual dilemma of climate change and energy crises," Energy, Elsevier, vol. 274(C).
    2. Sinha, Avik & Tiwari, Sunil & Saha, Tanaya, 2024. "Modeling the behavior of renewable energy market: Understanding the moderation of climate risk factors," Energy Economics, Elsevier, vol. 130(C).
    3. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2023. "Does COVID-19 Help or Harm the Climate? Modelling Long-run Emissions under Climate and Stimulus Policies," GREDEG Working Papers 2023-09, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    4. Vicknair, David & Tansey, Michael & O'Brien, Thomas E., 2022. "Measuring fossil fuel reserves: A simulation and review of the U.S. Securities and Exchange Commission approach," Resources Policy, Elsevier, vol. 79(C).
    5. Sanjit Dhami & Paolo Zeppini, 2024. "Green Technology Adoption under Uncertainty, Increasing Returns, and Complex Adaptive Dynamics," CESifo Working Paper Series 10900, CESifo.
    6. Wang, Kai-Hua & Kan, Jia-Min & Qiu, Lianhong & Xu, Shulin, 2023. "Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 256-272.
    7. Jihu Lee & Sung-Hun Son & Kibum Kim, 2021. "Eco-Friendly and Economical Solar Heater Design Using Internal Structure and Phase Change Materials," Energies, MDPI, vol. 14(21), pages 1-15, November.
    8. Peng, Benhong & Wang, Yuanyuan & Wei, Guo, 2020. "Energy eco-efficiency: Is there any spatial correlation between different regions?," Energy Policy, Elsevier, vol. 140(C).
    9. Shantha Indrajith H. Liyanage & Fulu Godfrey Netswera & Abel Motsumi, 2021. "Insights from EU Policy Framework in Aligning Sustainable Finance for Sustainable Development in Africa and Asia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 459-470.
    10. Thu Thuy Nguyen & Van Chien Nguyen, 2021. "Financial Development and Renewables in Southeast Asian Countries—The Role of Organic Waste Materials," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    11. Boulanouar, Zakaria & Essid, Lobna, 2023. "Extending the resource curse hypothesis to sustainability: Unveiling the environmental impacts of Natural resources rents and subsidies in Fossil Fuel-rich MENA Countries," Resources Policy, Elsevier, vol. 87(PA).
    12. Liang, Chao & Umar, Muhammad & Ma, Feng & Huynh, Toan L.D., 2022. "Climate policy uncertainty and world renewable energy index volatility forecasting," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    13. Fernanda Fuentes & Rodrigo Herrera, 2020. "Dynamics of Connectedness in Clean Energy Stocks," Energies, MDPI, vol. 13(14), pages 1-19, July.
    14. Pingkuo, Liu & Huan, Peng, 2022. "What drives the green and low-carbon energy transition in China?: An empirical analysis based on a novel framework," Energy, Elsevier, vol. 239(PE).
    15. Jiang, Hong-Dian & Liu, Li-Jing & Dong, Kangyin & Fu, Yu-Wei, 2022. "How will sectoral coverage in the carbon trading system affect the total oil consumption in China? A CGE-based analysis," Energy Economics, Elsevier, vol. 110(C).
    16. Yuriy Leonidovich Zhukovskiy & Daria Evgenievna Batueva & Alexandra Dmitrievna Buldysko & Bernard Gil & Valeriia Vladimirovna Starshaia, 2021. "Fossil Energy in the Framework of Sustainable Development: Analysis of Prospects and Development of Forecast Scenarios," Energies, MDPI, vol. 14(17), pages 1-28, August.
    17. Yuexiang Yang & Xiaoyu Zheng & Zhen Sun, 2020. "Coal Resource Security Assessment in China: A Study Using Entropy-Weight-Based TOPSIS and BP Neural Network," Sustainability, MDPI, vol. 12(6), pages 1-15, March.

  2. Paolo Zeppini & Koen Frenken, 2018. "Networks, Percolation, and Consumer Demand," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(3), pages 1-1.
    See citations under working paper version above.
  3. Luigi Marengo & Paolo Zeppini, 2016. "The arrival of the new," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 171-194, March.
    See citations under working paper version above.
  4. Zeppini, Paolo, 2015. "A discrete choice model of transitions to sustainable technologies," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 187-203.
    See citations under working paper version above.
  5. Hommes, Cars & Zeppini, Paolo, 2014. "Innovate or Imitate? Behavioural technological change," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 308-324.
    See citations under working paper version above.
  6. Zeppini, Paolo & van den Bergh, Jeroen C.J.M., 2013. "Optimal diversity in investments with recombinant innovation," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 141-156.
    See citations under working paper version above.
  7. Diks, Cees & Hommes, Cars & Zeppini, Paolo, 2013. "More memory under evolutionary learning may lead to chaos," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 808-812.
    See citations under working paper version above.
  8. Paolo Zeppini & Jeroen C. J. M. van den Bergh, 2011. "Competing Recombinant Technologies for Environmental Innovation: Extending Arthur's Model of Lock-In," Industry and Innovation, Taylor & Francis Journals, vol. 18(3), pages 317-334.

    Cited by:

    1. Orsatti, Gianluca & Perruchas, François & Consoli, Davide & Quatraro, Francesco, 2018. "Public Procurement, Local Labor Markets and Green Technological Change: Evidence from US Commuting Zones," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201803, University of Turin.
    2. Alba Marino & Francesco Quatraro, 2023. "Leveraging global recombinant capabilities for green technologies: the role of ethnic diversity in MNEs’ dynamics," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1413-1445, August.
    3. Moreno, Rosina & Ocampo-Corrales, Diego, 2022. "The ability of European regions to diversify in renewable energies: The role of technological relatedness," Research Policy, Elsevier, vol. 51(5).
    4. Dumas, Marion & Rising, James & Urpelainen, Johannes, 2016. "Political competition and renewable energy transitions over long time horizons: A dynamic approach," Ecological Economics, Elsevier, vol. 124(C), pages 175-184.
    5. Koen Frenken & Luis R. Izquierdo & Paolo Zeppini, 2012. "Recombinant Innovation and Endogenous Transitions," Working Papers 12-01, Eindhoven Center for Innovation Studies, revised Jan 2012.
    6. 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.
    7. Tommaso Ciarli & Maria Savona, 2019. "Modelling the Evolution of Economic Structure and Climate Change: A Review," SPRU Working Paper Series 2019-01, SPRU - Science Policy Research Unit, University of Sussex Business School.
    8. Bontadini, Filippo & Vona, Francesco, 2022. "Anatomy of Green Specialisation: Evidence from EU Production Data, 1995-2015," FEEM Working Papers 324042, Fondazione Eni Enrico Mattei (FEEM).
    9. Beyer, Jürgen, 2024. "On a Branching Route: The Spectrum of Path Dependency in Policy Research," SocArXiv 4nhxk, Center for Open Science.
    10. Lopolito, A. & Morone, P. & Taylor, R., 2013. "Emerging innovation niches: An agent based model," Research Policy, Elsevier, vol. 42(6), pages 1225-1238.
    11. Zeppini, Paolo, 2015. "A discrete choice model of transitions to sustainable technologies," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 187-203.
    12. Andrea Orame & Daniele Pianeselli, 2023. "Thinking the green transition: evidence from the automotive industry," Questioni di Economia e Finanza (Occasional Papers) 767, Bank of Italy, Economic Research and International Relations Area.
    13. Paolo Zeppini, 2014. "A discrete choice model of transitions to sustainable technologies: speed limits and optimal monetary policies," Department of Economics Working Papers 28/14, University of Bath, Department of Economics.
    14. Fusillo, Fabrizio, 2020. "Are Green Inventions really more complex? Evidence from European Patents," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 202002, University of Turin.
    15. Fusillo, Fabrizio, 2023. "Green Technologies and diversity in the knowledge search and output phases: Evidence from European Patents," Research Policy, Elsevier, vol. 52(4).
    16. Schmidt, Tobias S. & Battke, Benedikt & Grosspietsch, David & Hoffmann, Volker H., 2016. "Do deployment policies pick technologies by (not) picking applications?—A simulation of investment decisions in technologies with multiple applications," Research Policy, Elsevier, vol. 45(10), pages 1965-1983.
    17. Filippo Bontadini & Francesco Vona, 2020. "Anatomy of Green Specialization: Evidence from EU Production Data, 1995-2015," SciencePo Working papers Main hal-03403070, HAL.
    18. Safarzyńska, Karolina & Frenken, Koen & van den Bergh, Jeroen C.J.M., 2012. "Evolutionary theorizing and modeling of sustainability transitions," Research Policy, Elsevier, vol. 41(6), pages 1011-1024.
    19. Serenella Caravella & Francesco Crespi, 2022. "On the growth impact of different eco-innovation business strategies," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 657-683, July.
    20. Ascione, Grazia Sveva, 2023. "Technological diversity to address complex challenges: the contribution of American universities to sdgs," MPRA Paper 119452, University Library of Munich, Germany.
    21. Safarzynska, Karolina, 2017. "The Implications of Industrial Development for Diversification of Fuels," Ecological Economics, Elsevier, vol. 137(C), pages 37-46.
    22. Markard, Jochen & Raven, Rob & Truffer, Bernhard, 2012. "Sustainability transitions: An emerging field of research and its prospects," Research Policy, Elsevier, vol. 41(6), pages 955-967.
    23. Gianluca Orsatti & Francesco Quatraro & Alessandra Scandura, 2020. "Regional differences in the generation of green technologies: the role of local recombinant capabilities and academic inventors," Carlo Alberto Notebooks 617, Collegio Carlo Alberto.
    24. Alessandra Colombelli & Francesco Quatraro, 2019. "Green start-ups and local knowledge spillovers from clean and dirty technologies," Small Business Economics, Springer, vol. 52(4), pages 773-792, April.
    25. Orsatti, Gianluca & Quatraro, Francesco & Pezzoni, Michele, 2020. "The antecedents of green technologies: The role of team-level recombinant capabilities," Research Policy, Elsevier, vol. 49(3).
    26. Timothy J. Foxon & Jonathan Köhler & Jonathan Michie & Christine Oughton, 2013. "Towards a new complexity economics for sustainability," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 37(1), pages 187-208.
    27. Tommaso Ciarli & Karolina Safarzynska, 2020. "Sustainability and Industrial Challenge: The Hindering Role of Complexity," SPRU Working Paper Series 2020-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    28. Nils Grashof & Stefano Basilico, 2023. "The dark side of green innovation? Green transition and regional inequality in Europe," Papers in Evolutionary Economic Geography (PEEG) 2314, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2023.
    29. Papachristos, George, 2017. "Diversity in technology competition: The link between platforms and sociotechnical transitions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 291-306.
    30. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2020. "Global competition dynamics of fossil fuels and renewable energy under climate policies and peak oil: A behavioural model," Post-Print hal-02394882, HAL.
    31. Quatraro, Francesco & Scandura, Alessandra, 2018. "Academic Inventors and the Antecedents of Green Technologies. A Regional Analysis of Italian Patent Data," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201806, University of Turin.
    32. Jeroen Bergh & Giorgos Kallis, 2013. "A survey of evolutionary policy: normative and positive dimensions," Journal of Bioeconomics, Springer, vol. 15(3), pages 281-303, October.
    33. Fusillo, Fabrizio & Quatraro, Francesco & Santhià , Cristina, 2023. "Leveraging on Circular Economy Technologies for Recombinant Dynamics: Do Localized Knowledge and Digital Complementarities Matter?," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202314, University of Turin.
    34. Gianluca ORSATTI, 2019. "Public R&D and green knowledge diffusion:\r\nEvidence from patent citation data," Cahiers du GREThA (2007-2019) 2019-17, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    35. Castellani, Davide & Marin, Giovanni & Montresor, Sandro & Zanfei, Antonello, 2022. "Greenfield foreign direct investments and regional environmental technologies," Research Policy, Elsevier, vol. 51(1).
    36. Gianluca Orsatti, 2024. "Government R&D and green technology spillovers: the Chernobyl disaster as a natural experiment," The Journal of Technology Transfer, Springer, vol. 49(2), pages 581-608, April.
    37. Makrevska Disoska, Elena & Tonovska, Jasna & Toshevska-Trpcevska, Katerina & Tevdovski, Dragan & Stojkoski, Viktor, 2023. "Empirical Determinants of Innovation in European Countries: Testing the Porter's Hypothesis," MPRA Paper 118724, University Library of Munich, Germany.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (5) 2011-02-26 2015-04-25 2023-07-10 2024-03-04 2024-08-12. Author is listed
  2. NEP-ENV: Environmental Economics (5) 2011-02-26 2014-11-17 2023-07-10 2024-03-04 2024-08-12. Author is listed
  3. NEP-INO: Innovation (4) 2011-02-26 2015-04-25 2017-08-20 2024-03-04
  4. NEP-TID: Technology and Industrial Dynamics (3) 2017-08-20 2024-03-04 2024-08-12
  5. NEP-CSE: Economics of Strategic Management (2) 2011-02-26 2017-08-20
  6. NEP-DCM: Discrete Choice Models (2) 2014-11-17 2015-04-25
  7. NEP-EVO: Evolutionary Economics (2) 2014-02-15 2015-04-25
  8. NEP-HME: Heterodox Microeconomics (2) 2011-02-26 2024-08-12
  9. NEP-RES: Resource Economics (2) 2023-07-10 2024-08-12
  10. NEP-IPR: Intellectual Property Rights (1) 2008-12-14
  11. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2017-08-20
  12. NEP-MFD: Microfinance (1) 2023-07-10
  13. NEP-NET: Network Economics (1) 2017-08-20
  14. NEP-SBM: Small Business Management (1) 2017-08-20
  15. NEP-SOG: Sociology of Economics (1) 2014-02-15
  16. NEP-URE: Urban and Real Estate Economics (1) 2017-08-20

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