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Amann M, I Bertok, J Borken-Kleefeld, J Cofala, C Heyes, L Höglund-Isaksson, Z Klimont, B Nguyen, M Posch, P Rafaj, R Sander, W Schöpp, F Wagner, and W Winiwarter. 2011. Cost-effective control of air quality and greenhouse gases in Europe: modeling and policy applications. Environmental Modelling and Software 26:1489--1501 (link).

Amann M, et al. 2004. The "Current Legislation" and the "Maximum Technically Feasible Reduction" cases for the CAFE baseline emission projections. Page 39 in CAFE Working Group on Target Setting and Policy Advice, editor. IIASA, Laxenburg (link).

Christiansson L (1995) Diffusion and learning curves of renewable energy technologies. International Institute for Applied Systems Analysis, Working Paper 95--126, Laxenburg (link).

Ekholm T, Krey V, Pachauri S, Riahi K (2010) Determinants of household energy consumption in India. Energy Policy 38:5696-5707 (link).

Forest CE, Stone PH, Sokolov AP, Allen MR, Webster MD (2002) Quantifying Uncertainties in Climate System Properties with the Use of Recent Climate Observations. Science 295:113-117 (link).

Granier C, B Bessagnet, T Bond, A D'Angiola, H Denier van der Gon, G Frost, A Heil, J Kaiser, S Kinne, Z Klimont, S Kloster, JF Lamarque, C Liousse, T Masui, F Meleux, A Mieville, T Ohara, J-C Raut, K Riahi, M Schultz, S Smith, A Thompson, J van Aardenne, G van der Werf, and D van Vuuren. 2011. Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980-2010 period. Climatic Change 109:163-190 (link).

Hoogwijk M (2004) On the Global and Regional Potential of Renewable Energy Sources, PhD-thesis. Departement of Science, Technology and Society. Utrecht University (link).

Hoogwijk M, Graus W (2008) Global potential of renewable energy sources: a literature assessment. Ecofys, Utrecht (link).

IPCC (2007) Climate Change 2007 - Fourth Assessment Report. Intergovernmental Panel on Climate Change, Geneva (link).

Keppo I, O'Neill BC, Riahi K (2007) Probabilistic temperature change projections and energy system implications of greenhouse gas emission scenarios. Technological Forecasting and Social Change 74:936-961 (link).

Keppo I, Strubegger M (2010) Short term decisions for long term problems - The effect of foresight on model based energy systems analysis. Energy 35:2033-2042 (link).

Krey V, Riahi K (2009) Implications of delayed participation and technology failure for the feasibility, costs, and likelihood of staying below temperature targets - greenhouse gas mitigation scenarios for the 21st century. Energy Economics 31:S94-S106 (link).

Manne A, Richels R (1992) Buying Greenhouse Insurance: The Economic Costs of CO2 Emissions Limits, The MIT Press, Cambridge, MA, USA (link).

Meinshausen M (2006) What does a 2°C target mean for greenhouse gas concentration? A brief analysis based on multi-gas emission pathways and several climate sensitivity uncertainty estimates. in Schellnhuber JS, Gamer W, Nakicenovic N, Wigley TML, Yohe G (eds.) Avoiding Dangerous Climate Change. Cambridge University Press, Cambridge, UK, pp. 265-280 (link).

Meinshausen M, Meinshausen N, Hare W, Raper SCB, Frieler K, Knutti R, Frame DJ, Allen MR (2009) Greenhouse-gas emission targets for limiting global warming to 2ºC. Nature 458:1158-1162 (link).

Messner S (1997) Endogenized technological learning in an energy systems model. Journal of Evolutionary Economics 7:291-313 (link).

Messner S, Schrattenholzer L (2000) MESSAGE-MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively. Energy 25:267-282 (link).

Messner S, Strubegger M (1995) User's Guide for MESSAGE III.  IIASA Working Paper WP-95-069. IIASA, Laxenburg (link).

O'Neill BC, Riahi K, Keppo I (2010) Mitigation implications of midcentury targets that preserve long-term climate policy options. Proceedings of the National Academy of Sciences of the United States of America 107:1011-1016 (link).

Plantinga A, T Mauldin, D Miller (1999) An econometric analysis of the costs of sequestering carbon in forests, Am. J. Agric. Econ. 81 (4):812–824.

Shonali P, Bas JvR, Yu N, Keywan R, Detlef PvV, Abeeku B-H, Nebojsa N (2013) Pathways to achieve universal household access to modern energy by 2030. Environmental Research Letters 8:024015 (link).

Schäfer A (2005) Structural change in energy use. Energy Policy 33:429-437 (link).

Rao S and K Riahi (2006). "The Role of Non-CO2 Greenhouse Gases in Climate Change Mitigation: Long-term Scenarios for the 21st Century." The Energy Journal, Multi-Greenhouse Gas Mitigation and Climate Policy - Special Issue #3: 177-200 (link).

Rao S, V Chirkov, F Dentener, R Dingenen, S Pachauri, P Purohit, M Amann, C Heyes, P Kinney, P Kolp, Z Klimont, K Riahi, and W Schoepp. 2012. Environmental Modeling and Methods for Estimation of the Global Health Impacts of Air Pollution. Environmental Modeling & Assessment 17:613-622 (link).

Rao S, S Pachuari, F Dentener, P Kinney, K. Riahi and W Schoepp. 2013 (in press). Better Air for Better Health: Forging Synergies in Policies for Energy Access, Climate Change and Air Pollution. Global Environmental Change (link).

Riahi K, F Dentener, D Gielen, A Grubler, J Jewell, Z Klimont, V Krey, D McCollum, S Pachauri, S Rao, B van Ruijven, DP van Vuuren, and C Wilson. 2012. Chapter 17: Energy Pathways for Sustainable Development. Global Energy Assessment: Toward a Sustainable Future. IIASA, Laxenburg, Austria and Cambridge University Press (link).

Riahi K, S Rao, V Krey, C Cho, V Chirkov, G Fischer, G Kindermann, N Nakicenovic, and P Rafaj. 2011. RCP 8.5--A scenario of comparatively high greenhouse gas emissions. Climatic Change 109:33-57 (link).

Riahi K, A Grubler, N Nakicenovic (2007). Scenarios of long-term socio-economic and environmental development under climate stabilization. Technological Forecasting and Social Change 74(7): 887-935 (link).

Riahi K, and RA Roehrl (2000). Greenhouse gas emissions in a dynamics-as-usual scenario of economic and energy development. Technological Forecasting and Social Change 63(2-3): 175-205 (link).

Riahi K, ES Rubin, et al. (2004). Prospects for carbon capture and sequestration technologies assuming their technological learning. Energy 29(9--10): 1309-1318 (link).

Rogner H-H, Aguilera RF, Archer C, Bertani R, Bhattacharya SC, Dusseault MB, Gagnon L, Haberl H, Hoogwijk M, Johnson A, Rogner ML, Wagner H, Yakushev V (2012) Chapter 7 - Energy Resources and Potentials. Global Energy Assessment - Toward a Sustainable Future, Cambridge University Press, Cambridge, UK and New York, NY, USA and the International Institute for Applied Systems Analysis, Laxenburg, Austria, pp. 423-512 (link).

Rokityanskiy D, P Benitez, F Kraxner, I McCallum, M Obersteiner, E Rametsteiner, Y Yamagata (2007) Geographically Explicit Global Modeling of Land-Use Change, Carbon Sequestration, and Biomass Supply, Technol. Forecast. Soc. Change 74:1057-1082.

Sathaye JA, W Makundi, L Dale, P Chan, K Andrasko, (2003) A Summary Note Estimating Global Forestry GHG Mitigation Potential and Costs: A Dynamic Partial Equilibrium Approach, Technical Report, Lawrence Berkeley National Laboratory, Berkeley, CA.

Sathaye JA, W Makundi, L Dale, P Chan, K Andrasko (2005) GHG Mitigation Potential, Costs and Benefits in Global Forests: A Dynamic Partial Equilibrium Approach, Technical Report LBNL-58291, Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA.

Stavins RN (1999) The costs of carbon sequestration: a revealed-preference approach, Am. Econ. Rev. 89 (4):994-1009.Tubiello FN, Fischer G (2007) Reducing climate change impacts on agriculture: Global and regional effects of mitigation, 2000--2080. Technological Forecasting and Social Change 74:1030-1056 (link).

van Vuuren DP, van Vliet J, Stehfest E (2009) Future bio-energy potential under various natural constraints. Energy Policy 37:4220-4230 (link).

Wigley TML (2008) MAGICC/SCENGEN 5.3: User Manual (version 2). National Center for Atmospheric Research, Boulder (link).

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