Green transitions and the prevention of environmental disasters: market based vs command-and-control policies
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DOI: 10.1017/S1365100518001001
Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03403611
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- Lamperti, Francesco & Napoletano, Mauro & Roventini, Andrea, 2020. "Green Transitions And The Prevention Of Environmental Disasters: Market-Based Vs. Command-And-Control Policies," Macroeconomic Dynamics, Cambridge University Press, vol. 24(7), pages 1861-1880, October.
- Francesco Lamperti & Mauro Napoletano & Andrea Roventini, 2019. "Green transitions and the prevention of environmental disasters: market based vs command-and-control policies," SciencePo Working papers Main hal-03403611, HAL.
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Citations
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Cited by:
- 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.
- Francesco Lamperti & Mariana Mazzucato & Andrea Roventini & Gregor Semieniuk, 2019. "The green transition: public policy, finance, and the role of the State," Post-Print hal-04114748, HAL.
- Francesco Lamperti & Mariana Mazzucato & Andrea Roventini & Gregor Semieniuk, 2019. "The green transition: public policy, finance, and the role of the State," SciencePo Working papers Main hal-04114748, HAL.
- Francesco Lamperti & Mariana Mazzucato & Andrea Roventini & Gregor Semieniuk, 2019. "The green transition: public policy, finance and the role of the State," LEM Papers Series 2019/41, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Francesco Lamperti & Andrea Roventini, 2022.
"Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model,"
European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 19(3), pages 357-380, December.
- Francesco Lamperti & Andrea Roventini, 2022. "Beyond climate economics orthodoxy: impacts and policies in the agent-based integrated-assessment DSK model," LEM Papers Series 2022/39, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Donnelly, David & Fricaudet, Marie & Ameli, Nadia, 2023. "“Accelerating institutional funding of low-carbon investment: The potential for an investment emissions intensity tax”," Ecological Economics, Elsevier, vol. 207(C).
- Fiorillo, Damiano & Sapio, Alessandro, 2019. "Energy saving in Italy in the late 1990s: Which role for non-monetary motivations?," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
- Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020.
"Climate change and green transitions in an agent-based integrated assessment model,"
Technological Forecasting and Social Change, Elsevier, vol. 153(C).
- G. Dosi & F. Lamperti & Mauro Napoletano & A. Roventini & A. Sapio, 2020. "Climate change and green transitions in an agent-based integrated assessment model," SciencePo Working papers Main halshs-03046932, HAL.
- 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.
- 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).
- Carè, R. & Fatima, R. & Boitan, I.A., 2024. "Central banks and climate risks: Where we are and where we are going?," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1200-1229.
- Zhang, Dan & Zheng, Mingbo & Feng, Gen-Fu & Chang, Chun-Ping, 2022. "Does an environmental policy bring to green innovation in renewable energy?," Renewable Energy, Elsevier, vol. 195(C), pages 1113-1124.
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Keywords
Green transition; Environmental policy; Command and control; Carbon taxes;All these keywords.
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