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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. 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.
  6. 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.
  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. 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.
  2. Luigi Marengo & Paolo Zeppini, 2016. "The arrival of the new," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 171-194, March.
  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. Hommes, Cars & Zeppini, Paolo, 2014. "Innovate or Imitate? Behavioural technological change," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 308-324.
  5. 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.
  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. 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. 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. 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. Zakaria Babutsidze & Maurizio Iacopetta, 2016. "Innovation, growth and financial market," Sciences Po publications info:hdl:2441/258fqttgag8, Sciences Po.
    2. 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.
    3. 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, vol. 26(2), pages 187-210.
    4. Uwe Cantner & Simone Vannuccini, 2016. "Innovation and Lock-in," Jena Economic Research Papers 2016-018, Friedrich-Schiller-University Jena.

  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. 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.
    2. 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.

  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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Matteo Richiardi, 2015. "The future of agent-based modelling," Economics Papers 2015-W06, Economics Group, Nuffield College, University of Oxford.
    7. 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.
    8. 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.
    9. 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.
    10. 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.

  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. 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.
    2. 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. 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.
    3. 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.
    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. 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.

  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. Lorenzo Napolitano & Evangelos Evangelou & Emanuele Pugliese & Paolo Zeppini & Graham Room, 2018. "Technology networks: the autocatalytic origins of innovation," Post-Print halshs-01952447, HAL.
    2. 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.
    3. Carolina Castaldi & Koen Frenken & Bart Los, 2013. "Related Variety, Unrelated Variety and Technological Breakthroughs: An analysis of U.S. state-level patenting," Papers in Evolutionary Economic Geography (PEEG) 1302, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2013.
    4. Essletzbichler Jürgen, 2012. "Generalized Darwinism, group selection and evolutionary economic geography," Zeitschrift für Wirtschaftsgeographie, De Gruyter, vol. 56(1-2), pages 129-146, October.
    5. Paolo Zeppini & Koen Frenken & Roland Kupers, 2013. "Threshold models of technological transitions," Working Papers 13-06, Eindhoven Center for Innovation Studies, revised Aug 2013.
    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. 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.
    8. 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.
    9. 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. 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.
    11. 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. 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. 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.
    4. 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.
    5. Giulio Cainelli & Massimiliano Mazzanti & Roberto Zoboli, 2011. "Enviromental Innovations, Complementarity and Local/Global Cooperation," Working Papers 201104, 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. 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.
    2. 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.
    3. 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.
    4. 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 environment," CeNDEF Working Papers 10-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    5. 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.
    6. 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.
    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.
    8. Bondarev, Anton & Greiner, Alfred, 2017. "Technology lock-in with horizontal and vertical innovations through limited R&D spending," Working papers 2017/04, Faculty of Business and Economics - University of Basel.
    9. 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. 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.
  2. 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.
  3. 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.
  4. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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. 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. 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. Safarzynska, Karolina, 2017. "The Implications of Industrial Development for Diversification of Fuels," Ecological Economics, Elsevier, vol. 137(C), pages 37-46.
    4. 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.
    5. 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.
    6. 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.
    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. 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.
    9. Lopolito, A. & Morone, P. & Taylor, R., 2013. "Emerging innovation niches: An agent based model," Research Policy, Elsevier, vol. 42(6), pages 1225-1238.
    10. 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.
    11. 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.
    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. 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.
    14. 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.
    15. 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.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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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