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Learning curves for environmental technology and their importance for climate policy analysis

Citations

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Cited by:

  1. Elofsson, Katarina & Gren, Ing-Marie, 2014. "Cost-efficient climate policies for interdependent and uncertain carbon pools," Working Paper Series 2014:7, Swedish University of Agricultural Sciences, Department Economics.
  2. James Kroes & Ravi Subramanian & Ramanath Subramanyam, 2012. "Operational Compliance Levers, Environmental Performance, and Firm Performance Under Cap and Trade Regulation," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 186-201, April.
  3. Muratori, Matteo & Ledna, Catherine & McJeon, Haewon & Kyle, Page & Patel, Pralit & Kim, Son H. & Wise, Marshall & Kheshgi, Haroon S. & Clarke, Leon E. & Edmonds, Jae, 2017. "Cost of power or power of cost: A U.S. modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 861-874.
  4. Neij, Lena, 2008. "Cost development of future technologies for power generation--A study based on experience curves and complementary bottom-up assessments," Energy Policy, Elsevier, vol. 36(6), pages 2200-2211, June.
  5. Cristóbal, Jorge & Guillén-Gosálbez, Gonzalo & Kraslawski, Andrzej & Irabien, Angel, 2013. "Stochastic MILP model for optimal timing of investments in CO2 capture technologies under uncertainty in prices," Energy, Elsevier, vol. 54(C), pages 343-351.
  6. Yu, Shiwei & Zhang, Junjie & Zheng, Shuhong & Sun, Han, 2015. "Provincial carbon intensity abatement potential estimation in China: A PSO–GA-optimized multi-factor environmental learning curve method," Energy Policy, Elsevier, vol. 77(C), pages 46-55.
  7. Elofsson, Katarina, 2014. "International knowledge diffusion and its impact on the cost-effective clean-up of the Baltic Sea," Working Paper Series 2014:06, Swedish University of Agricultural Sciences, Department Economics.
  8. Asensio, Omar Isaac & Delmas, Magali A., 2016. "The dynamics of behavior change: Evidence from energy conservation," Journal of Economic Behavior & Organization, Elsevier, vol. 126(PA), pages 196-212.
  9. Hernandez-Negron, Christian G. & Baker, Erin & Goldstein, Anna P., 2023. "A hypothesis for experience curves of related technologies with an application to wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
  10. Qian, Yuan & Scherer, Laura & Tukker, Arnold & Behrens, Paul, 2020. "China's potential SO2 emissions from coal by 2050," Energy Policy, Elsevier, vol. 147(C).
  11. Kim, Seunghyok & Koo, Jamin & Lee, Chang Jun & Yoon, En Sup, 2012. "Optimization of Korean energy planning for sustainability considering uncertainties in learning rates and external factors," Energy, Elsevier, vol. 44(1), pages 126-134.
  12. Jouvet, Pierre-André & Schumacher, Ingmar, 2012. "Learning-by-doing and the costs of a backstop for energy transition and sustainability," Ecological Economics, Elsevier, vol. 73(C), pages 122-132.
  13. Ghertner, D. Asher & Fripp, Matthias, 2007. "Trading away damage: Quantifying environmental leakage through consumption-based, life-cycle analysis," Ecological Economics, Elsevier, vol. 63(2-3), pages 563-577, August.
  14. Nemet, Gregory F., 2009. "Interim monitoring of cost dynamics for publicly supported energy technologies," Energy Policy, Elsevier, vol. 37(3), pages 825-835, March.
  15. Yu, Shiwei & Agbemabiese, Lawrence & Zhang, Junjie, 2016. "Estimating the carbon abatement potential of economic sectors in China," Applied Energy, Elsevier, vol. 165(C), pages 107-118.
  16. Bob van der Zwaan & Reyer Gerlagh, 2008. "The Economics of Geological CO2 Storage and Leakage," Working Papers 2008.10, Fondazione Eni Enrico Mattei.
  17. Zhou, Wenji & Zhu, Bing & Fuss, Sabine & Szolgayová, Jana & Obersteiner, Michael & Fei, Weiyang, 2010. "Uncertainty modeling of CCS investment strategy in China's power sector," Applied Energy, Elsevier, vol. 87(7), pages 2392-2400, July.
  18. Nidhi R. Santen & Mort D. Webster & David Popp & Ignacio Pérez-Arriaga, 2017. "Inter-temporal R&D and capital investment portfolios for the electricity industrys low carbon future," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
  19. Fang Guo & Tao Zhao & Yanan Wang & Yue Wang, 2016. "Estimating the abatement potential of provincial carbon intensity based on the environmental learning curve model in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 685-705, October.
  20. Ito, Yutaka & Managi, Shunsuke, 2015. "The potential of alternative fuel vehicles: A cost-benefit analysis," Research in Transportation Economics, Elsevier, vol. 50(C), pages 39-50.
  21. Liu, Qiang & Shi, Minjun & Jiang, Kejun, 2009. "New power generation technology options under the greenhouse gases mitigation scenario in China," Energy Policy, Elsevier, vol. 37(6), pages 2440-2449, June.
  22. Alberth, Stephan & Hope, Chris, 2007. "Climate modelling with endogenous technical change: Stochastic learning and optimal greenhouse gas abatement in the PAGE2002 model," Energy Policy, Elsevier, vol. 35(3), pages 1795-1807, March.
  23. 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.
  24. Watson, Jim & Kern, Florian & Markusson, Nils, 2014. "Resolving or managing uncertainties for carbon capture and storage: Lessons from historical analogues," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 192-204.
  25. Ingmar Schumacher & Pierre-André Jouvet, 2009. "Sustainability, resource substitution in energy inputs and learning," Working Papers hal-00356044, HAL.
  26. Raslavičius, Laurencas & Keršys, Artūras & Starevičius, Martynas & Sapragonas, Jonas & Bazaras, Žilvinas, 2014. "Biofuels, sustainability and the transport sector in Lithuania," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 328-346.
  27. Nidhi R. Santen & Mort D. Webster & David Popp & Ignacio Pérez-Arriaga, 2014. "Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry's Low Carbon Future," CESifo Working Paper Series 5139, CESifo.
  28. Yung-Hsiang Lu & Ku-Hsieh Chen & Jen-Chi Cheng & Chih-Chun Chen & Sian-Yuan Li, 2019. "Analysis of Environmental Productivity on Fossil Fuel Power Plants in the U.S," Sustainability, MDPI, vol. 11(24), pages 1-27, December.
  29. John Michael Humphries Choptiany & Ron Pelot & Kate Sherren, 2014. "An Interdisciplinary Perspective on Carbon Capture and Storage Assessment Methods," Journal of Industrial Ecology, Yale University, vol. 18(3), pages 445-458, May.
  30. Yabe, Kuniaki & Shinoda, Yukio & Seki, Tomomichi & Tanaka, Hideo & Akisawa, Atsushi, 2012. "Market penetration speed and effects on CO2 reduction of electric vehicles and plug-in hybrid electric vehicles in Japan," Energy Policy, Elsevier, vol. 45(C), pages 529-540.
  31. J. West & Arlene Fiore & Larry Horowitz, 2012. "Scenarios of methane emission reductions to 2030: abatement costs and co-benefits to ozone air quality and human mortality," Climatic Change, Springer, vol. 114(3), pages 441-461, October.
  32. Ding, Suiting & Zhang, Ming & Song, Yan, 2019. "Exploring China's carbon emissions peak for different carbon tax scenarios," Energy Policy, Elsevier, vol. 129(C), pages 1245-1252.
  33. Meleesa Naughton & Richard C. Darton & Fai Fung, 2012. "Could Climate Change Limit Water Availability for Coal-Fired Electricity Generation with Carbon Capture and Storage? A UK Case Study," Energy & Environment, , vol. 23(2-3), pages 265-282, May.
  34. Duan, Hong-Bo & Fan, Ying & Zhu, Lei, 2013. "What’s the most cost-effective policy of CO2 targeted reduction: An application of aggregated economic technological model with CCS?," Applied Energy, Elsevier, vol. 112(C), pages 866-875.
  35. Duan, Hong-Bo & Zhu, Lei & Fan, Ying, 2014. "Optimal carbon taxes in carbon-constrained China: A logistic-induced energy economic hybrid model," Energy, Elsevier, vol. 69(C), pages 345-356.
  36. Nidhi R. Santen & Mort D. Webster & David Popp & Ignacio Pérez-Arriaga, 2014. "Inter-temporal R&D and Capital Investment Portfolios for the Electricity Industry’s Low Carbon Future," NBER Working Papers 20783, National Bureau of Economic Research, Inc.
  37. Wei Li & Tao Zhao & Yanan Wang & Fang Guo, 2017. "Investigating the learning effects of technological advancement on CO2 emissions: a regional analysis in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 1211-1227, September.
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