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Francesco Lamperti

Personal Details

First Name:Francesco
Middle Name:
Last Name:Lamperti
Suffix:
RePEc Short-ID:pla770

Affiliation

(90%) Laboratory of Economics and Management (LEM)
Scuola Superiore Sant'Anna

Pisa, Italy
http://www.lem.sssup.it/
RePEc:edi:labssit (more details at EDIRC)

(10%) MEDalics Centro di Ricerca per le Relazioni Mediterranee

Reggio Calabria, Italy
http://www.medalics.org/
RePEc:edi:medalit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  2. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
  3. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," LEM Papers Series 2016/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  4. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  5. Francesco Lamperti & Clara Elisabetta Mattei, 2016. "Going Up and Down: Rethinking the Empirics of Growth in the Developing and Newly Industrialized World," LEM Papers Series 2016/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  6. Francesco Lamperti, 2015. "An Information Theoretic Criterion for Empirical Validation of Time Series Models," LEM Papers Series 2015/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  7. Francesco Lamperti & Mauro Napoletano & Andrea Roventini, 2015. "Preventing Environmental Disasters: Market-Based vs. Command-and-Control Policies," LEM Papers Series 2015/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

Articles

  1. Francesco Lamperti & Roberto Mavilia & Simona Castellini, 2017. "The role of Science Parks: a puzzle of growth, innovation and R&D investments," The Journal of Technology Transfer, Springer, vol. 42(1), pages 158-183, February.
  2. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
  3. M. Ferrara & F. Lamperti & R. Mavilia, 2016. "Looking for best performers: a pilot study towards the evaluation of science parks," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 717-750, February.

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. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Eugenio Caverzasi & Alberto Russo, 2018. "Toward a new microfounded macroeconomics in the wake of the crisis," Industrial and Corporate Change, Oxford University Press, vol. 27(6), pages 999-1014.
    2. Matteo Coronese & Francesco Lamperti & Francesco Chiaromonte & Andrea Roventini, 2018. "Natural disaster Risk and the Distributional Dynamics of Damages," Documents de Travail de l'OFCE 2018-26, Observatoire Francais des Conjonctures Economiques (OFCE).
    3. Hanna, Richard & Gross, Robert, 2021. "How do energy systems model and scenario studies explicitly represent socio-economic, political and technological disruption and discontinuity? Implications for policy and practitioners," Energy Policy, Elsevier, vol. 149(C).
    4. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up: Matching The Historical Evidence With A Multi-Country Agent-Based Model," Sciences Po publications 18/2020, Sciences Po.
    5. Clara I. González & Soledad Núñez, 2019. "Mercados, entidades financieras y bancos centrales ante el cambio climático: retos y oportunidades," Working Papers 2019-06, FEDEA.
    6. Paola D'Orazio & Lilit Popoyan, 2018. "Fostering green investments and tackling climate-related financial risks: which role for macroprudential policies?," LEM Papers Series 2018/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    8. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," Documents de travail du Centre d'Economie de la Sorbonne 16058, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    9. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability: A post-Keynesian perspective," Working Papers PKWP1912, Post Keynesian Economics Society (PKES).
    10. Dafermos, Yannis & Nikolaidi, Maria & Galanis, Giorgos, 2018. "Climate change, financial stability and monetary policy," Greenwich Papers in Political Economy 19966, University of Greenwich, Greenwich Political Economy Research Centre.
    11. Dosi, Giovanni & Pereira, Marcelo C. & Roventini, Andrea & Virgillito, Maria Enrica, 2018. "The labour-augmented K+S model: a laboratory for the analysis of institutional and policy regimes," GLO Discussion Paper Series 241, Global Labor Organization (GLO).
    12. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," Sciences Po publications 28, Sciences Po.
    13. Giovanni Dosi & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2018. "The labour-augmented K+S model : a laboratory for the analysis of institutional and policy regimes," Working Papers hal-03443457, HAL.
    14. Giovanni Dosi & Andrea Roventini & Emmanuele Russo, 2020. "Public Policies And The Art Of Catching Up," Working Papers hal-03242369, HAL.
    15. Andrea Borsato, 2021. "Simple Matching Protocols for Agent-based Models," Working Papers of BETA 2021-35, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    16. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2021. "AgriLOVE: agriculture, land-use and technical change in an evolutionary, agent-based model," LEM Papers Series 2021/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Malafry, Laurence & Brinca, Pedro, 2022. "Climate policy in an unequal world: Assessing the cost of risk on vulnerable households," Ecological Economics, Elsevier, vol. 194(C).
    18. Gawith, David & Hodge, Ian & Morgan, Fraser & Daigneault, Adam, 2020. "Climate change costs more than we think because people adapt less than we assume," Ecological Economics, Elsevier, vol. 173(C).
    19. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    20. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    21. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2019. "Validation of Agent-Based Models in Economics and Finance," Post-Print halshs-02375423, HAL.
    22. 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.
    23. Kennedy, Christopher, 2022. "The Intersection of Biophysical Economics and Political Economy," Ecological Economics, Elsevier, vol. 192(C).
    24. Stolbova, Veronika & Monasterolo, Irene & Battiston, Stefano, 2018. "A Financial Macro-Network Approach to Climate Policy Evaluation," Ecological Economics, Elsevier, vol. 149(C), pages 239-253.
    25. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    26. Naqvi, Syed Ali Asjad & Engelbert, Stockhammer, 2017. "Directed Technological Change in a post-Keynesian Ecological Macromodel," Ecological Economic Papers 16, WU Vienna University of Economics and Business.
    27. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability," FMM Working Paper 52-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    28. Yannis Dafermos & Maria Nikolaidi, 2021. "How can green differentiated capital requirements affect climate risks? A dynamic macrofinancial analysis," Working Papers PKWP2105, Post Keynesian Economics Society (PKES).
    29. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," Post-Print halshs-03046932, HAL.
    30. Hötte, Kerstin, 2020. "How to accelerate green technology diffusion? Directed technological change in the presence of coevolving absorptive capacity," Energy Economics, Elsevier, vol. 85(C).
    31. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org.
    32. Russo, Emanuele & Foster-McGregor, Neil & Verspagen, Bart, 2019. "Characterizing growth instability: new evidence on unit roots and structural breaks in long run time series," MERIT Working Papers 2019-026, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    33. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    34. Emanuele Russo, 2017. "Harrodian instability in decentralized economies: an agent-based approach," LEM Papers Series 2017/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    35. Emanuele Russo, 2021. "Harrodian instability in decentralized economies: an agent-based approach," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(2), pages 539-567, July.
    36. Chenet, Hugues & Ryan-Collins, Josh & van Lerven, Frank, 2021. "Finance, climate-change and radical uncertainty: Towards a precautionary approach to financial policy," Ecological Economics, Elsevier, vol. 183(C).
    37. Monasterolo, Irene & Roventini, Andrea & Foxon, Tim J., 2019. "Uncertainty of climate policies and implications for economics and finance: An evolutionary economics approach," Ecological Economics, Elsevier, vol. 163(C), pages 177-182.
    38. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    39. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," LEM Papers Series 2021/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    40. Roger Cremades & Hermine Mitter & Nicu Constantin Tudose & Anabel Sanchez-Plaza & Anil Graves & Annelies Broekman & Steffen Bender & Carlo Giupponi & Phoebe Koundouri & Muhamad Bahri & Sorin Cheval & , 2019. "Ten principles to integrate the water-energy-land nexus with climate services for co-producing local and regional integrated assessments," DEOS Working Papers 1915, Athens University of Economics and Business.
    41. Moya, Diego & Budinis, Sara & Giarola, Sara & Hawkes, Adam, 2020. "Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India’s industry sector," Applied Energy, Elsevier, vol. 274(C).
    42. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.
    43. Patrick Mellacher, 2020. "COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model," Papers 2011.06289, arXiv.org.
    44. Bernardo Alves Furtado & Gustavo Onofre Andre~ao, 2022. "Machine Learning Simulates Agent-Based Model Towards Policy," Papers 2203.02576, arXiv.org.
    45. De Bandt Olivier, & Jacolin Luc, & Lemaire Thibault., 2021. "Climate Change in Developing Countries: Global Warming Effects,Transmission Channels and Adaptation Policies," Working papers 822, Banque de France.

  2. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.

    Cited by:

    1. Giovanni Dosi & Francesco Lamperti & Mariana Mazzucato & Mauro Napoletano & Andrea Roventini, 2021. "Mission-Oriented Policies and the "Entrepreneurial State" at Work: An Agent-Based Exploration," GREDEG Working Papers 2021-25, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Karl Naumann-Woleske & Max Sina Knicker & Michael Benzaquen & Jean-Philippe Bouchaud, 2021. "Exploration of the Parameter Space in Macroeconomic Agent-Based Models," Papers 2111.08654, arXiv.org.
    3. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    4. Seri, Raffaello & Martinoli, Mario & Secchi, Davide & Centorrino, Samuele, 2021. "Model calibration and validation via confidence sets," Econometrics and Statistics, Elsevier, vol. 20(C), pages 62-86.
    5. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    7. Johannes Dahlke & Kristina Bogner & Matthias Mueller & Thomas Berger & Andreas Pyka & Bernd Ebersberger, 2020. "Is the Juice Worth the Squeeze? Machine Learning (ML) In and For Agent-Based Modelling (ABM)," Papers 2003.11985, arXiv.org.
    8. Lux, Thomas, 2017. "Estimation of agent-based models using sequential Monte Carlo methods," Economics Working Papers 2017-07, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Yuanlu Bai & Henry Lam & Svitlana Vyetrenko & Tucker Balch, 2021. "Efficient Calibration of Multi-Agent Market Simulators from Time Series with Bayesian Optimization," Papers 2112.03874, arXiv.org.
    10. Shiono, Takashi, 2021. "Estimation of agent-based models using Bayesian deep learning approach of BayesFlow," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    11. Farmer, J. Doyne & Heinrich, Torsten & Sabuco, Juan, 2019. "A simulation of the insurance industry: The problem of risk model homogeneity," INET Oxford Working Papers 2019-12, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    12. Kukacka, Jiri & Jang, Tae-Seok & Sacht, Stephen, 2018. "On the estimation of behavioral macroeconomic models via simulated maximum likelihood," Economics Working Papers 2018-11, Christian-Albrechts-University of Kiel, Department of Economics.
    13. Domenico Delli Gatti & Jakob Grazzini, 2019. "Rising to the Challenge: Bayesian Estimation and Forecasting Techniques for Macroeconomic Agent-Based Models," CESifo Working Paper Series 7894, CESifo.
    14. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    15. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    16. Platt, Donovan & Gebbie, Tim, 2018. "Can agent-based models probe market microstructure?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1092-1106.
    17. Yi Zhang & Zhe Li & Yongchao Zhang, 2020. "Validation and Calibration of an Agent-Based Model: A Surrogate Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2020, pages 1-9, January.
    18. Barde, Sylvain, 2020. "Macroeconomic simulation comparison with a multivariate extension of the Markov information criterion," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    19. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2019. "Validation of Agent-Based Models in Economics and Finance," Post-Print halshs-02375423, HAL.
    20. Minh Tran & Thanh Duong & Duc Pham-Hi & Marc Bui, 2020. "Detecting the Proportion of Traders in the Stock Market: An Agent-Based Approach," Mathematics, MDPI, vol. 8(2), pages 1-14, February.
    21. Platt, Donovan, 2020. "A comparison of economic agent-based model calibration methods," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    22. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    23. Andrea Vandin & Daniele Giachini & Francesco Lamperti & Francesca Chiaromonte, 2021. "Automated and Distributed Statistical Analysis of Economic Agent-Based Models," Papers 2102.05405, arXiv.org.
    24. Lux, Thomas, 2018. "Estimation of agent-based models using sequential Monte Carlo methods," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 391-408.
    25. Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
    26. Majewski, Adam A. & Ciliberti, Stefano & Bouchaud, Jean-Philippe, 2020. "Co-existence of trend and value in financial markets: Estimating an extended Chiarella model," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    27. Donovan Platt, 2022. "Bayesian Estimation of Economic Simulation Models Using Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 599-650, February.
    28. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," LEM Papers Series 2021/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    29. G. Rigatos, 2021. "Statistical Validation of Multi-Agent Financial Models Using the H-Infinity Kalman Filter," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 777-798, October.
    30. Ramis Khabibullin & Alexey Ponomarenko, 2020. "An empirical behavioral model of households’ deposit dollarization," Bank of Russia Working Paper Series wps67, Bank of Russia.
    31. Schmitt, Noemi & Schwartz, Ivonne & Westerhoff, Frank H., 2020. "Heterogeneous speculators and stock market dynamics: A simple agent-based computational model," BERG Working Paper Series 160, Bamberg University, Bamberg Economic Research Group.

  3. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," LEM Papers Series 2016/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Nina Nikolova & Shteryo Nozharov, 2020. "Shadow Economy and Populism – Risk and Uncertainty Factors for Establishing Low-Carbon Economy of Balkan Countries (Case Study for Bulgaria)," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 121-144.
    2. John Sherwood & Anthony Ditta & Becky Haney & Loren Haarsma & Michael Carbajales-Dale, 2017. "Resource Criticality in Modern Economies: Agent-Based Model Demonstrates Vulnerabilities from Technological Interdependence," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-22, September.
    3. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Clara I. González & Soledad Núñez, 2019. "Mercados, entidades financieras y bancos centrales ante el cambio climático: retos y oportunidades," Working Papers 2019-06, FEDEA.
    5. Paola D'Orazio & Lilit Popoyan, 2018. "Fostering green investments and tackling climate-related financial risks: which role for macroprudential policies?," LEM Papers Series 2018/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Francesco Lamperti & Mariana Mazzucato & Andrea Roventini & Gregor Semieniuk, 2019. "The Green Transition: Public Policy, Finance, and the Role of the State," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 88(2), pages 73-88.
    7. Kevin J. Warner & Glenn A. Jones, 2017. "The Climate-Independent Need for Renewable Energy in the 21st Century," Energies, MDPI, vol. 10(8), pages 1-13, August.
    8. Solmaria Halleck Vega & Antoine Mandel & Katrin Millock, 2018. "Accelerating diffusion of climate-friendly technologies: A network perspective," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01885446, HAL.
    9. Bondarev, Anton & Greiner, Alfred, 2018. "Global warming and technical change: Multiple steady-states and policy options," Working papers 2018/03, Faculty of Business and Economics - University of Basel.
    10. Li, Jun & Hamdi-Cherif, Meriem & Cassen, Christophe, 2017. "Aligning domestic policies with international coordination in a post-Paris global climate regime: A case for China," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 258-274.
    11. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," Sciences Po publications 28, Sciences Po.
    12. Mauro Napoletano, 2018. "A Short Walk on the Wild Side: Agent-Based Models and their Implications for Macroeconomic Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(3), pages 257-281.
    13. Matteo Coronese & Martina Occelli & Francesco Lamperti & Andrea Roventini, 2021. "AgriLOVE: agriculture, land-use and technical change in an evolutionary, agent-based model," LEM Papers Series 2021/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    14. Malafry, Laurence & Brinca, Pedro, 2022. "Climate policy in an unequal world: Assessing the cost of risk on vulnerable households," Ecological Economics, Elsevier, vol. 194(C).
    15. 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.
    16. Etienne Espagne, 2018. "Money, Finance and Climate: The Elusive Quest for a Truly Integrated Assessment Model," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(1), pages 131-143, March.
    17. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.
    18. Hepburn, Cameron & Mealy, Penny, 2017. "Transformational Change: Parallels for addressing climate and development goals," INET Oxford Working Papers 2019-02, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, revised May 2019.
    19. 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.
    20. Mauro Napoletano, 2018. "A short walk on the wild side : agent based models and their implications for macroeconomic analysis," Post-Print hal-03443471, HAL.
    21. Stolbova, Veronika & Monasterolo, Irene & Battiston, Stefano, 2018. "A Financial Macro-Network Approach to Climate Policy Evaluation," Ecological Economics, Elsevier, vol. 149(C), pages 239-253.
    22. Alessandro Taberna & Tatiana Filatova & Andrea Roventini & Francesco Lamperti, 2021. "Coping with increasing tides: technological change, agglomeration dynamics and climate hazards in an agent-based evolutionary model," LEM Papers Series 2021/44, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    23. Naqvi, Syed Ali Asjad & Engelbert, Stockhammer, 2017. "Directed Technological Change in a post-Keynesian Ecological Macromodel," Ecological Economic Papers 16, WU Vienna University of Economics and Business.
    24. G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," Post-Print halshs-03046932, HAL.
    25. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.
    26. Hötte, Kerstin, 2020. "How to accelerate green technology diffusion? Directed technological change in the presence of coevolving absorptive capacity," Energy Economics, Elsevier, vol. 85(C).
    27. Breitenstein, Miriam & Anke, Carl-Philipp & Nguyen, Duc Khuong & Walther, Thomas, 2019. "Stranded Asset Risk and Political Uncertainty: The Impact of the Coal Phase-out on the German Coal Industry," MPRA Paper 101763, University Library of Munich, Germany.
    28. Paola D’Orazio & Marco Valente, 2018. "Do Financial Constraints Hamper Environmental Innovation Diffusion? An Agent-Based Approach," SPRU Working Paper Series 2018-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    29. Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2016. "An agent-based stock-flow consistent model of the sustainable transition in the energy sector," MPRA Paper 73183, University Library of Munich, Germany.
    30. Auke Hoekstra & Maarten Steinbuch & Geert Verbong, 2017. "Creating Agent-Based Energy Transition Management Models That Can Uncover Profitable Pathways to Climate Change Mitigation," Complexity, Hindawi, vol. 2017, pages 1-23, December.
    31. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni, 2019. "The public costs of climate-induced financial instability," Nature Climate Change, Nature, vol. 9(11), pages 829-833, November.
    32. Chenet, Hugues & Ryan-Collins, Josh & van Lerven, Frank, 2021. "Finance, climate-change and radical uncertainty: Towards a precautionary approach to financial policy," Ecological Economics, Elsevier, vol. 183(C).
    33. Kemp-Benedict, Eric, 2018. "Investing in a Green Transition," Ecological Economics, Elsevier, vol. 153(C), pages 218-236.
    34. Francesco Pasimeni & Tommaso Ciarli, 2018. "Diffusion of Shared Goods in Consumer Coalitions. An Agent-Based Model," SPRU Working Paper Series 2018-24, SPRU - Science Policy Research Unit, University of Sussex Business School.
    35. Monasterolo, Irene & Roventini, Andrea & Foxon, Tim J., 2019. "Uncertainty of climate policies and implications for economics and finance: An evolutionary economics approach," Ecological Economics, Elsevier, vol. 163(C), pages 177-182.
    36. Okushima, Shinichiro, 2021. "Energy poor need more energy, but do they need more carbon? Evaluation of people's basic carbon needs," Ecological Economics, Elsevier, vol. 187(C).
    37. Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    38. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni & Tania Treibich, 2021. "Three green financial policies to address climate risks," LEM Papers Series 2021/05, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    39. Moya, Diego & Budinis, Sara & Giarola, Sara & Hawkes, Adam, 2020. "Agent-based scenarios comparison for assessing fuel-switching investment in long-term energy transitions of the India’s industry sector," Applied Energy, Elsevier, vol. 274(C).
    40. Bernardo A. Furtado & Miguel A. Fuentes & Claudio J. Tessone, 2019. "Policy Modeling and Applications: State-of-the-Art and Perspectives," Complexity, Hindawi, vol. 2019, pages 1-11, February.

  4. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    2. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    4. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    5. Tomas Balint & Francesco Lamperti & Antoine Mandel & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2016. "Complexity and the Economics of Climate Change: a Survey and a Look Forward," Documents de travail du Centre d'Economie de la Sorbonne 16058, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    6. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," Sciences Po publications 28, Sciences Po.
    7. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
    8. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2019. "Validation of Agent-Based Models in Economics and Finance," Post-Print halshs-02375423, HAL.
    9. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers hal-03458875, HAL.
    10. Lamperti, Francesco, 2018. "An information theoretic criterion for empirical validation of simulation models," Econometrics and Statistics, Elsevier, vol. 5(C), pages 83-106.

  5. Francesco Lamperti & Clara Elisabetta Mattei, 2016. "Going Up and Down: Rethinking the Empirics of Growth in the Developing and Newly Industrialized World," LEM Papers Series 2016/01, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    3. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," Sciences Po publications 28, Sciences Po.
    4. Tommaso Ciarli & Andre Lorentz & Marco Valente & Maria Savona, 2017. "Structural Changes and Growth Regime," Working Papers of BETA 2017-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    5. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).

  6. Francesco Lamperti, 2015. "An Information Theoretic Criterion for Empirical Validation of Time Series Models," LEM Papers Series 2015/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    2. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.
    4. Sylvain Barde, 2015. "A Practical, Universal, Information Criterion over Nth Order Markov Processes," Studies in Economics 1504, School of Economics, University of Kent.
    5. Francesco Lamperti & Andrea Roventini & Amir Sani, 2017. "Agent-Based Model Calibration using Machine Learning Surrogates," Papers 1703.10639, arXiv.org, revised Apr 2017.
    6. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    7. Francesco Lamperti, 2016. "Empirical Validation of Simulated Models through the GSL-div: an Illustrative Application," LEM Papers Series 2016/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print hal-03471817, HAL.
    9. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2018. "And then he wasn't a she : Climate change and green transitions in an agent-based integrated assessment model," Sciences Po publications 28, Sciences Po.
    10. Mauro Napoletano & Eric Guerci & Nobuyuki Hanaki, 2018. "Recent advances in financial networks and agent-based model validation," Post-Print hal-02299235, HAL.
    11. Sylvain Barde & Ofce Observatoire Français Des Conjonctures économiques, 2016. "Direct comparison of agent -based models of herding in financial markets," Post-Print hal-03604749, HAL.
    12. Platt, Donovan & Gebbie, Tim, 2018. "Can agent-based models probe market microstructure?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1092-1106.
    13. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    14. Barde, Sylvain, 2016. "Direct comparison of agent-based models of herding in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 329-353.
    15. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2019. "Validation of Agent-Based Models in Economics and Finance," Post-Print halshs-02375423, HAL.
    16. Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Sciences Po publications info:hdl:2441/5fafm6me7k8, Sciences Po.
    17. Francesco Lamperti, 2018. "Empirical validation of simulated models through the GSL-div: an illustrative application," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 143-171, April.
    18. Sylvain Barde, 2015. "Direct calibration and comparison of agent-based herding models of financial markets," Studies in Economics 1507, School of Economics, University of Kent.
    19. Sander van der Hoog, 2017. "Deep Learning in (and of) Agent-Based Models: A Prospectus," Papers 1706.06302, arXiv.org.

  7. Francesco Lamperti & Mauro Napoletano & Andrea Roventini, 2015. "Preventing Environmental Disasters: Market-Based vs. Command-and-Control Policies," LEM Papers Series 2015/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    Cited by:

    1. Jongmin Yu & Seokjong Ryu, 2018. "Optimal Design of a Politically Feasible Environmental Regulation," Korean Economic Review, Korean Economic Association, vol. 34, pages 75-99.
    2. Francesco Lamperti & Giovanni Dosi & Mauro Napoletano & Andrea Roventini & Alessandro Sapio, 2017. "Faraway, so Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model," LEM Papers Series 2017/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Ponomareva, Ekaterina (Пономарева, Екатерина) & Magomedov, Rustam (Магомедов, Рустам), 2017. "Non-Tariff Measures and the Structure of Trade Flows [Нетарифные Меры И Структура Торговых Потоков]," Working Papers 051704, Russian Presidential Academy of National Economy and Public Administration.
    4. Monasterolo, Irene & Raberto, Marco, 2018. "The EIRIN Flow-of-funds Behavioural Model of Green Fiscal Policies and Green Sovereign Bonds," Ecological Economics, Elsevier, vol. 144(C), pages 228-243.

Articles

  1. Francesco Lamperti & Roberto Mavilia & Simona Castellini, 2017. "The role of Science Parks: a puzzle of growth, innovation and R&D investments," The Journal of Technology Transfer, Springer, vol. 42(1), pages 158-183, February.

    Cited by:

    1. Margarida Madaleno & Max Nathan & Henry Overman & Sevrin Waights, 2022. "Incubators, accelerators and urban economic development," Urban Studies, Urban Studies Journal Limited, vol. 59(2), pages 281-300, February.
    2. Sang-Do Park, 2018. "The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    3. David Urbano & Andreu Turro & Sebastian Aparicio, 2020. "Innovation through R&D activities in the European context: antecedents and consequences," The Journal of Technology Transfer, Springer, vol. 45(5), pages 1481-1504, October.
    4. Z. Jun Lin & Shengqiang Liu & Fangcheng Sun, 2017. "The Impact of Financing Constraints and Agency Costs on Corporate R&D Investment: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 3-42, March.
    5. T. Theeranattapong & D. Pickernell & C. Simms, 2021. "Systematic literature review paper: the regional innovation system-university-science park nexus," The Journal of Technology Transfer, Springer, vol. 46(6), pages 2017-2050, December.
    6. Xie, Kefan & Song, Yu & Zhang, Weiyong & Hao, Jiahui & Liu, Zimei & Chen, Yun, 2018. "Technological entrepreneurship in science parks: A case study of Wuhan Donghu High-Tech Zone," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 156-168.
    7. Erik E. Lehmann & Nikolaus Seitz & Katharine Wirsching, 2017. "Smart finance for smart places to foster new venture creation," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 44(1), pages 51-75, March.
    8. Laura Lecluyse & Mirjam Knockaert & André Spithoven, 2019. "The contribution of science parks: a literature review and future research agenda," The Journal of Technology Transfer, Springer, vol. 44(2), pages 559-595, April.
    9. Kelsi G. Hobbs & Albert N. Link & John T. Scott, 2017. "Science and technology parks: an annotated and analytical literature review," The Journal of Technology Transfer, Springer, vol. 42(4), pages 957-976, August.
    10. Fernando Almeida, 2021. "Systematic Review On Academic Entrepreneurship Indicators," Entrepreneurship, Faculty of Economics, SOUTH-WEST UNIVERSITY "NEOFIT RILSKI", BLAGOEVGRAD, vol. 9(2), pages 7-22.
    11. M. Ferrara & F. Lamperti & R. Mavilia, 2016. "Looking for best performers: a pilot study towards the evaluation of science parks," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 717-750, February.
    12. Kholekile L. Gwebu & Jeffrey Sohl & Jing Wang, 2019. "Differential performance of science park firms: an integrative model," Small Business Economics, Springer, vol. 52(1), pages 193-211, January.
    13. Carles Méndez-Ortega & Mercedes Teruel, 2020. "To acquire or not to acquire: the effects of acquisitions in the software industry," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 793-814, July.
    14. Corrocher, Nicoletta & Lamperti, Francesco & Mavilia, Roberto, 2019. "Do science parks sustain or trigger innovation? Empirical evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 140-151.
    15. Ng, Wei Keat Benny & Appel-Meulenbroek, Rianne & Cloodt, Myriam & Arentze, Theo, 2021. "Perceptual measures of science parks: Tenant firms’ associations between science park attributes and benefits," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    16. Eva-María Mora-Valentín & Marta Ortiz-de-Urbina-Criado & Juan-José Nájera-Sánchez, 2018. "Mapping the conceptual structure of science and technology parks," The Journal of Technology Transfer, Springer, vol. 43(5), pages 1410-1435, October.
    17. Ng, Wei Keat Benny & Appel-Meulenbroek, Rianne & Cloodt, Myriam & Arentze, Theo, 2019. "Towards a segmentation of science parks: A typology study on science parks in Europe," Research Policy, Elsevier, vol. 48(3), pages 719-732.
    18. Diana Baidoc & Laura Bacali, 2017. "Impact of innovation on sustainable development of organizations," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 14(2), pages 5-18, December.

  2. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    See citations under working paper version above.
  3. M. Ferrara & F. Lamperti & R. Mavilia, 2016. "Looking for best performers: a pilot study towards the evaluation of science parks," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 717-750, February.

    Cited by:

    1. Wei Keat Benny Ng & Robin Junker & Rianne Appel-Meulenbroek & Myriam Cloodt & Theo Arentze, 2020. "Perceived benefits of science park attributes among park tenants in the Netherlands," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1196-1227, August.
    2. Laura Lecluyse & Mirjam Knockaert & André Spithoven, 2019. "The contribution of science parks: a literature review and future research agenda," The Journal of Technology Transfer, Springer, vol. 44(2), pages 559-595, April.
    3. Corrocher, Nicoletta & Lamperti, Francesco & Mavilia, Roberto, 2019. "Do science parks sustain or trigger innovation? Empirical evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 140-151.
    4. Laspia, Alessandro & Sansone, Giuliano & Landoni, Paolo & Racanelli, Domenico & Bartezzaghi, Emilio, 2021. "The organization of innovation services in science and technology parks: Evidence from a multi-case study analysis in Europe," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    5. Mahdi Yami & Gao Changchun & Gao Han, 2018. "The Science and Technology Parks (STPs) Evaluation Model Approach to Eco-Innovation Key Indicator," International Business Research, Canadian Center of Science and Education, vol. 11(11), pages 187-200, November.

More information

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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 14 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-ENV: Environmental Economics (9) 2016-01-03 2016-01-29 2016-07-30 2016-09-25 2016-11-13 2016-11-13 2017-01-29 2017-04-09 2017-04-16. Author is listed
  2. NEP-ENE: Energy Economics (8) 2016-01-03 2016-01-29 2016-07-30 2016-09-25 2016-11-13 2017-01-29 2017-04-09 2017-04-16. Author is listed
  3. NEP-HME: Heterodox Microeconomics (7) 2016-07-30 2016-11-13 2017-01-29 2017-04-09 2017-04-09 2017-04-16 2017-05-07. Author is listed
  4. NEP-AGR: Agricultural Economics (6) 2016-01-03 2016-01-29 2016-07-30 2016-11-13 2016-11-13 2017-01-29. Author is listed
  5. NEP-CMP: Computational Economics (5) 2017-01-29 2017-04-09 2017-04-16 2017-04-16 2017-05-07. Author is listed
  6. NEP-REG: Regulation (5) 2016-01-29 2016-07-30 2016-09-25 2016-11-13 2017-01-29. Author is listed
  7. NEP-TID: Technology & Industrial Dynamics (4) 2016-11-13 2017-01-29 2017-04-09 2017-04-16. Author is listed
  8. NEP-FDG: Financial Development & Growth (2) 2016-01-18 2016-02-04
  9. NEP-GRO: Economic Growth (2) 2016-01-18 2016-02-04
  10. NEP-ECM: Econometrics (1) 2015-02-28
  11. NEP-ORE: Operations Research (1) 2017-05-07
  12. NEP-PKE: Post Keynesian Economics (1) 2017-04-09

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