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Paolo Zeppini

Personal Details

First Name:Paolo
Middle Name:
Last Name:Zeppini
Suffix:
RePEc Short-ID:pze43

Affiliation

(90%) Groupe de REcherche en Droit, Économie, Gestion (GREDEG)
Institut Supérieur d'Économie et Management (ISEM)
Université de Nice-Sophia Antipolis

Nice, France
http://unice.fr/laboratoires/gredeg

+33-493-954-172
+33-493-653-798
250, rue Albert Einstein, 06560 Valbonne
RePEc:edi:credcfr (more details at EDIRC)

(9%) Department of Economics
University of Bath

Bath, United Kingdom
http://www.bath.ac.uk/economics/

+44 (0)1225 383799
+44 (0)1225 323423
Claverton Down, Bath BA2 7AY
RePEc:edi:debatuk (more details at EDIRC)

(1%) Laboratory of Economics and Management (LEM)
Scuola Superiore Sant'Anna

Pisa, Italy
http://www.lem.sssup.it/

+39-50-883343
+39-50-883344
Piazza dei Martiri della Liberta, 33, 56127 Pisa
RePEc:edi:labssit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Paolo Zeppini & Koen Frenken, 2018. "Networks, Percolation, and Consumer Demand," Post-Print halshs-01952450, HAL.
  2. Elena Tur & Paolo Zeppini & Koen Frenken, 2018. "Diffusion with social reinforcement: The role of individual preferences," Post-Print halshs-01952459, HAL.
  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.
  4. Paolo Zeppini & Koen Frenken, 2015. "Networks, Percolation, and Demand," Department of Economics Working Papers 38/15, University of Bath, Department of Economics.
  5. Luigi Marengo & Paolo Zeppini, 2014. "The arrival of the new," LEM Papers Series 2014/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  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. 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.
  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.
  9. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "The complexity of transitions," Working Papers 13-04, Eindhoven Center for Innovation Studies, revised Mar 2013.
  10. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
  11. 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.
  12. 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.
  13. 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.
  14. 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.

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

    Cited by:

    1. 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.
    2. 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. 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. Lorenzo Napolitano & Angelica Sbardella & Davide Consoli & Nicolo Barbieri & Francois Perruchas, 2020. "Green Innovation and Income Inequality: A Complex System Analysis," SPRU Working Paper Series 2020-11, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Anton Pichler & Franc{c}ois Lafond & J. Doyne Farmer, 2020. "Technological interdependencies predict innovation dynamics," Papers 2003.00580, arXiv.org.
    3. 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.

  3. 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 Technology.

  4. Luigi Marengo & Paolo Zeppini, 2014. "The arrival of the new," LEM Papers Series 2014/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. 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.
    2. Zakaria Babutsidze & Maurizio Iacopetta, 2016. "Innovation, growth and financial markets," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 1-24, March.
    3. 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.
    4. Marcelo De Carvalho Pereira & Giovanni Dosi & Maria Enrica Virgillito, 2016. "The Footprint Of Evolutionary Processes Of Learning And Selection Upon The Statistical Properties Of Industrial Dynamics," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 162, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

  5. 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. 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.
    2. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2019. "Global competition dynamics of fossil fuels and renewable energy under climate policies and peak oil: A behavioural model," Post-Print hal-02394882, HAL.
    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. 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. Working Papers 201807, University of Turin.
    5. Schmitt, Noemi & Tuinstra, Jan & Westerhoff, Frank, 2015. "Side effects of nonlinear profit taxes in an evolutionary market entry model: abrupt changes, coexisting attractors and hysteresis problems," BERG Working Paper Series 103, Bamberg University, Bamberg Economic Research Group.

  6. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Schmitt, Noemi & Tuinstra, Jan & Westerhoff, Frank, 2015. "Side effects of nonlinear profit taxes in an evolutionary market entry model: abrupt changes, coexisting attractors and hysteresis problems," BERG Working Paper Series 103, Bamberg University, Bamberg Economic Research Group.
    6. 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.
    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.
    8. 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.
    9. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    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. 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.

  7. 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. 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.
    2. Jonathan Köhler & Fjalar de Haan & Georg Holtz & Klaus Kubeczko & Enayat Moallemi & George Papachristos & Émile 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.
    3. 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.

  8. 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 Technology.
    2. 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.
    3. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    4. Sorin Solomon & Natasa Golo, 2014. "Minsky Financial Instability, Interscale Feedback, Percolation and Marshall-Walras Disequilibrium," Papers 1402.0176, arXiv.org.
    5. 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, May.

  9. 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. 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.
    2. 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.
    3. 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.
    4. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    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. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Essletzbichler Jürgen, 2012. "Generalized Darwinism, group selection and evolutionary economic geography," Zeitschrift für Wirtschaftsgeographie, De Gruyter, vol. 56(1-2), pages 129-146, October.
    12. 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.
    13. 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.
    14. M. Lynne Markus & Kevin Mentzer, 2014. "Foresight for a responsible future with ICT," Information Systems Frontiers, Springer, vol. 16(3), pages 353-368, July.

  10. 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. Giulio Cainelli & Massimiliano Mazzanti & Roberto Zoboli, 2011. "Enviromental Innovations, Complementarity and Local/Global Cooperation," Working Papers 201104, University of Ferrara, Department of Economics.
    3. 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.
    4. Timothy J. Foxon & Jonathan Köhler & Jonathan Michie & Christine Oughton, 2013. "Towards a new complexity economics for sustainability," Cambridge Journal of Economics, Oxford University Press, vol. 37(1), pages 187-208.
    5. 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.

  11. 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. 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.
    2. 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.
    3. 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, Open Access Journal, vol. 12(9), pages 1-21, May.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

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. Fernanda Fuentes & Rodrigo Herrera, 2020. "Dynamics of Connectedness in Clean Energy Stocks," Energies, MDPI, Open Access Journal, vol. 13(14), pages 1-18, July.
    2. 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, Open Access Journal, vol. 12(6), pages 1-15, March.

  2. 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.
  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.
    See citations under working paper version above.
  4. 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.
  5. 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.
  6. 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.

    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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. Kukacka, Jiri & Barunik, Jozef, 2013. "Behavioural breaks in the heterogeneous agent model: The impact of herding, overconfidence, and market sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5920-5938.
    9. 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.

  7. 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. 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.
    2. 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.
    3. Paolo Zeppini & Jeroen C.J.M. van den Bergh, 2019. "Global competition dynamics of fossil fuels and renewable energy under climate policies and peak oil: A behavioural model," Post-Print hal-02394882, HAL.
    4. Quatraro, Francesco & Scandura, Alessandra, 2019. "Academic Inventors and the Antecedents of Green Technologies. A Regional Analysis of Italian Patent Data," Ecological Economics, Elsevier, vol. 156(C), pages 247-263.
    5. 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).
    6. Gianluca Orsatti & Francesco Quatraro & Michele Pezzoni, 2020. "The antecedents of green technologies: The role of team-level recombinant capabilities," Post-Print hal-02532221, HAL.
    7. 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.
    8. Lopolito, A. & Morone, P. & Taylor, R., 2013. "Emerging innovation niches: An agent based model," Research Policy, Elsevier, vol. 42(6), pages 1225-1238.
    9. 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.
    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. 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. Working Papers 201807, University of Turin.
    12. 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.
    13. 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.
    14. Fusillo, Fabrizio, 2020. "Are Green Inventions really more complex? Evidence from European Patents," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202015, University of Turin.
    15. Safarzynska, Karolina, 2017. "The Implications of Industrial Development for Diversification of Fuels," Ecological Economics, Elsevier, vol. 137(C), pages 37-46.
    16. 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.
    17. 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.
    18. 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.
    19. Timothy J. Foxon & Jonathan Köhler & Jonathan Michie & Christine Oughton, 2013. "Towards a new complexity economics for sustainability," Cambridge Journal of Economics, Oxford University Press, vol. 37(1), pages 187-208.
    20. 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.

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Statistics

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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 6 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-INO: Innovation (3) 2011-02-26 2015-04-25 2017-08-20
  2. NEP-CSE: Economics of Strategic Management (2) 2011-02-26 2017-08-20
  3. NEP-DCM: Discrete Choice Models (2) 2014-11-17 2015-04-25
  4. NEP-ENE: Energy Economics (2) 2011-02-26 2015-04-25
  5. NEP-ENV: Environmental Economics (2) 2011-02-26 2014-11-17
  6. NEP-EVO: Evolutionary Economics (2) 2014-02-15 2015-04-25
  7. NEP-HME: Heterodox Microeconomics (1) 2011-02-26
  8. NEP-IPR: Intellectual Property Rights (1) 2008-12-14
  9. NEP-KNM: Knowledge Management & Knowledge Economy (1) 2017-08-20
  10. NEP-NET: Network Economics (1) 2017-08-20
  11. NEP-SBM: Small Business Management (1) 2017-08-20
  12. NEP-SOG: Sociology of Economics (1) 2014-02-15
  13. NEP-TID: Technology & Industrial Dynamics (1) 2017-08-20
  14. NEP-URE: Urban & Real Estate Economics (1) 2017-08-20

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