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Dynamic formulation of a top-down and bottom-up merging energy policy model

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  1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
  2. Kiuila, O. & Rutherford, T.F., 2013. "The cost of reducing CO2 emissions: Integrating abatement technologies into economic modeling," Ecological Economics, Elsevier, vol. 87(C), pages 62-71.
  3. Schenk, Niels J. & Moll, Henri C. & Schoot Uiterkamp, Anton J.M., 2007. "Meso-level analysis, the missing link in energy strategies," Energy Policy, Elsevier, vol. 35(3), pages 1505-1516, March.
  4. Rive, Nathan, 2010. "Climate policy in Western Europe and avoided costs of air pollution control," Economic Modelling, Elsevier, vol. 27(1), pages 103-115, January.
  5. Kumbaroglu, Gurkan Selcuk, 2003. "Environmental taxation and economic effects: a computable general equilibrium analysis for Turkey," Journal of Policy Modeling, Elsevier, vol. 25(8), pages 795-810, November.
  6. van den Broek, Machteld & Veenendaal, Paul & Koutstaal, Paul & Turkenburg, Wim & Faaij, André, 2011. "Impact of international climate policies on CO2 capture and storage deployment: Illustrated in the Dutch energy system," Energy Policy, Elsevier, vol. 39(4), pages 2000-2019, April.
  7. Park, Sang Yong & Yun, Bo-Yeong & Yun, Chang Yeol & Lee, Duk Hee & Choi, Dong Gu, 2016. "An analysis of the optimum renewable energy portfolio using the bottom–up model: Focusing on the electricity generation sector in South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 319-329.
  8. Frei, Christoph W. & Haldi, Pierre-Andre & Sarlos, Gerard, 2005. "Double-dividend analysis with SCREEN:: an empirical study for Switzerland," Energy Policy, Elsevier, vol. 33(5), pages 633-650, March.
  9. Blomberg, Jerry & Henriksson, Eva & Lundmark, Robert, 2012. "Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach," Energy Policy, Elsevier, vol. 42(C), pages 569-579.
  10. André Sceia & Juan-Carlos Altamirano-Cabrera & Marc Vielle & Nicolas Weidmann, 2012. "Assessment of Acceptable Swiss post-2012 Climate Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 347-380, June.
  11. Tang, Ling & Shi, Jiarui & Yu, Lean & Bao, Qin, 2017. "Economic and environmental influences of coal resource tax in China: A dynamic computable general equilibrium approach," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 34-44.
  12. Meng, Sam & Siriwardana, Mahinda & McNeill, Judith & Nelson, Tim, 2018. "The impact of an ETS on the Australian energy sector: An integrated CGE and electricity modelling approach," Energy Economics, Elsevier, vol. 69(C), pages 213-224.
  13. Rutherford, Thomas F. & Böhringer, Christoph, 2006. "Combining Top-Down and Bottom-up in Energy Policy Analysis: A Decomposition Approach," ZEW Discussion Papers 06-007, ZEW - Leibniz Centre for European Economic Research.
  14. Fortes, Patrícia & Pereira, Rui & Pereira, Alfredo & Seixas, Júlia, 2014. "Integrated technological-economic modeling platform for energy and climate policy analysis," Energy, Elsevier, vol. 73(C), pages 716-730.
  15. Chris Bataille, Mark Jaccard, John Nyboer and Nic Rivers, 2006. "Towards General Equilibrium in a Technology-Rich Model with Empirically Estimated Behavioral Parameters," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 93-112.
  16. Wei Li & Zhijie Jia, 2017. "Carbon tax, emission trading, or the mixed policy: which is the most effective strategy for climate change mitigation in China?," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(6), pages 973-992, August.
  17. Sarica, Kemal & Tyner, Wallace E., 2013. "Alternative policy impacts on US GHG emissions and energy security: A hybrid modeling approach," Energy Economics, Elsevier, vol. 40(C), pages 40-50.
  18. Wu, Zhibin & Xu, Jiuping, 2013. "Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas," Energy, Elsevier, vol. 49(C), pages 19-31.
  19. Chrisoph Böhringer & André Müller & Marcel Wickart, 2003. "Economie Impacts of a Premature Nuclear Phase-Out in Switzerland: An Applied General Equilibrium Analysis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(IV), pages 461-505, December.
  20. Kialashaki, Arash & Reisel, John R., 2014. "Development and validation of artificial neural network models of the energy demand in the industrial sector of the United States," Energy, Elsevier, vol. 76(C), pages 749-760.
  21. Rivers, Nic & Jaccard, Mark, 2006. "Useful models for simulating policies to induce technological change," Energy Policy, Elsevier, vol. 34(15), pages 2038-2047, October.
  22. Olegs Krasnopjorovs & Daniels Jukna & Konstantins Kovalovs, 2022. "On the Use of General Equilibrium Model to Assess the Impact of Climate Policy in Latvia," Post-Print hal-03861139, HAL.
  23. Milad Maralani & Milad Maralani & Basil Sharp & Golbon Zakeri, 2016. "The Potential Impact of Industrial Energy Savings on The New Zealand Economy," EcoMod2016 9308, EcoMod.
  24. Zhu, Y. & Huang, G.H. & Li, Y.P. & He, L. & Zhang, X.X., 2011. "An interval full-infinite mixed-integer programming method for planning municipal energy systems - A case study of Beijing," Applied Energy, Elsevier, vol. 88(8), pages 2846-2862, August.
  25. Veronika Kulmer, 2013. "Promoting alternative, environmentally friendly passenger transport technologies: Directed technological change in a bottom-up/top-down CGE model," Graz Economics Papers 2013-02, University of Graz, Department of Economics.
  26. Thiam, Djiby-Racine & Benders, René M.J. & Moll, Henri C., 2012. "Modeling the transition towards a sustainable energy production in developing nations," Applied Energy, Elsevier, vol. 94(C), pages 98-108.
  27. Jaccard, Mark & Murphy, Rose & Rivers, Nic, 2004. "Energy-environment policy modeling of endogenous technological change with personal vehicles: combining top-down and bottom-up methods," Ecological Economics, Elsevier, vol. 51(1-2), pages 31-46, November.
  28. Berglund, Christer & Soderholm, Patrik, 2006. "Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models," Energy Policy, Elsevier, vol. 34(12), pages 1344-1356, August.
  29. Theodoridou, Ifigeneia & Papadopoulos, Agis M. & Hegger, Manfred, 2012. "A feasibility evaluation tool for sustainable cities – A case study for Greece," Energy Policy, Elsevier, vol. 44(C), pages 207-216.
  30. Raphaële Thery & Pascale Zarate, 2009. "Energy planning: a multi-level and multicriteria decision making structure proposal," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 17(3), pages 265-274, September.
  31. Helgesen, Per Ivar & Tomasgard, Asgeir, 2018. "From linking to integration of energy system models and computational general equilibrium models – Effects on equilibria and convergence," Energy, Elsevier, vol. 159(C), pages 1218-1233.
  32. Kassian T.T. Amesho & Emmanuel Innocents Edoun, 2019. "Financing Renewable Energy in Namibia - A Fundamental Key Challenge to the Sustainable Development Goal 7: Ensuring Access to Affordable, Reliable, Sustainable and Modern Energy for All," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 442-450.
  33. Böhringer, Christoph & Rutherford, Thomos F., 2009. "Integrated assessment of energy policies: Decomposing top-down and bottom-up," Journal of Economic Dynamics and Control, Elsevier, vol. 33(9), pages 1648-1661, September.
  34. Gi-Young Chae & Seung-Hyun An & Chul-Yong Lee, 2021. "Demand Forecasting for Liquified Natural Gas Bunkering by Country and Region Using Meta-Analysis and Artificial Intelligence," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
  35. Lin, Q.G. & Huang, G.H., 2009. "Planning of energy system management and GHG-emission control in the Municipality of Beijing--An inexact-dynamic stochastic programming model," Energy Policy, Elsevier, vol. 37(11), pages 4463-4473, November.
  36. Eskeland, Gunnar S. & Rive, Nathan A. & Mideksa, Torben K., 2012. "Europe’s climate goals and the electricity sector," Energy Policy, Elsevier, vol. 41(C), pages 200-211.
  37. Wing, Ian Sue, 2006. "The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technologies and the cost of limiting US CO2 emissions," Energy Policy, Elsevier, vol. 34(18), pages 3847-3869, December.
  38. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2011. "Assessment of China's climate commitment and non-fossil energy plan towards 2020 using hybrid AIM/CGE model," Energy Policy, Elsevier, vol. 39(5), pages 2875-2887, May.
  39. Sue Wing, Ian, 2008. "The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technology detail in a social accounting framework," Energy Economics, Elsevier, vol. 30(2), pages 547-573, March.
  40. Abdulla Kaya & Denes Csala & Sgouris Sgouridis, 2017. "Constant elasticity of substitution functions for energy modeling in general equilibrium integrated assessment models: a critical review and recommendations," Climatic Change, Springer, vol. 145(1), pages 27-40, November.
  41. Aliaga Lordemann, Javier, 2009. "Energy Technology Assessment," Documentos de trabajo 8/2009, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
  42. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting new and renewable energy supply through a bottom-up approach: The case of South Korea," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 207-217.
  43. Murphy, Rose & Jaccard, Mark, 2011. "Energy efficiency and the cost of GHG abatement: A comparison of bottom-up and hybrid models for the US," Energy Policy, Elsevier, vol. 39(11), pages 7146-7155.
  44. Laha, Priyanka & Chakraborty, Basab, 2017. "Energy model – A tool for preventing energy dysfunction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 95-114.
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