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An analysis of China's climate policy using the China-in-Global Energy Model

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  • Qi, Tianyu
  • Winchester, Niven
  • Karplus, Valerie J.
  • Zhang, Da
  • Zhang, Xiliang

Abstract

The primary approach to address climate change in China has been the use of CO2 intensity targets coupled with targets for low carbon energy deployment. We evaluate the impact of extending similar targets through 2050 on China's energy use profile and CO2 emissions trajectory using the China-in-Global Energy Model (C-GEM). The C-GEM is a global computable equilibrium model that includes energy and economic data provided by China's statistical agencies, calibration of savings, labor productivity, and capital productivity dynamics specific to China's stage of development, and regional aggregation that resolves China's major trading partners. We analyze the combined impact of extending CO2 intensity targets, implemented via a cap-and-trade program, and low carbon energy policies (directives for nuclear power expansion and feed-in tariffs for wind, solar, and biomass energy) through 2050. Although with the policy, simulated CO2 emissions are around 43% lower in 2050 relative to a reference (No Policy) counterfactual, China's CO2 emissions still increase by over 60% between 2010 and 2050. Curbing the rise in China's CO2 emissions will require fully implementing a CO2 price, which will need to rise to levels higher than $25/ton in order to achieve China's stated goal of peaking CO2 emissions by 2030.

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  • Qi, Tianyu & Winchester, Niven & Karplus, Valerie J. & Zhang, Da & Zhang, Xiliang, 2016. "An analysis of China's climate policy using the China-in-Global Energy Model," Economic Modelling, Elsevier, vol. 52(PB), pages 650-660.
  • Handle: RePEc:eee:ecmode:v:52:y:2016:i:pb:p:650-660
    DOI: 10.1016/j.econmod.2015.09.036
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    as
    1. Rausch Sebastian & Metcalf Gilbert E. & Reilly John M & Paltsev Sergey, 2010. "Distributional Implications of Alternative U.S. Greenhouse Gas Control Measures," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(2), pages 1-46, July.
    2. Bao, Qin & Tang, Ling & Zhang, ZhongXiang & Wang, Shouyang, 2013. "Impacts of border carbon adjustments on China's sectoral emissions: Simulations with a dynamic computable general equilibrium model," China Economic Review, Elsevier, vol. 24(C), pages 77-94.
    3. Bohringer, Christoph & Loschel, Andreas, 2006. "Computable general equilibrium models for sustainability impact assessment: Status quo and prospects," Ecological Economics, Elsevier, vol. 60(1), pages 49-64, November.
    4. Böhringer, Christoph & Bye, Brita & Fæhn, Taran & Rosendahl, Knut Einar, 2012. "Alternative designs for tariffs on embodied carbon: A global cost-effectiveness analysis," Energy Economics, Elsevier, vol. 34(S2), pages 143-153.
    5. McKibbin, Warwick J. & Wilcoxen, Peter J., 2013. "A Global Approach to Energy and the Environment," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 995-1068, Elsevier.
    6. Paroussos, Leonidas & Fragkos, Panagiotis & Capros, Pantelis & Fragkiadakis, Kostas, 2015. "Assessment of carbon leakage through the industry channel: The EU perspective," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 204-219.
    7. Fujimori, Shinichiro & Masui, Toshihiko & Matsuoka, Yuzuru, 2014. "Development of a global computable general equilibrium model coupled with detailed energy end-use technology," Applied Energy, Elsevier, vol. 128(C), pages 296-306.
    8. Mustafa Babiker & John Reilly & Laurent Viguier, 2004. "Is International Emissions Trading Always Beneficial?," The Energy Journal, , vol. 25(2), pages 33-56, April.
    9. Böhringer, Christoph & Rutherford, Thomas F., 2013. "Transition towards a low carbon economy: A computable general equilibrium analysis for Poland," Energy Policy, Elsevier, vol. 55(C), pages 16-26.
    10. Åsa Johansson & Yvan Guillemette & Fabrice Murtin & David Turner & Giuseppe Nicoletti & Christine de la Maisonneuve & Philip Bagnoli & Guillaume Bousquet & Francesca Spinelli, 2013. "Long-Term Growth Scenarios," OECD Economics Department Working Papers 1000, OECD Publishing.
    11. Bor, Yunchang Jeffrey & Huang, Yophy, 2010. "Energy taxation and the double dividend effect in Taiwan's energy conservation policy--an empirical study using a computable general equilibrium model," Energy Policy, Elsevier, vol. 38(5), pages 2086-2100, May.
    12. Chong-En Bai & Chang-Tai Hsieh & Yingyi Qian, 2006. "The Return to Capital in China," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 37(2), pages 61-102.
    13. Sue Wing, Ian & Eckaus, Richard S., 2007. "The implications of the historical decline in US energy intensity for long-run CO2 emission projections," Energy Policy, Elsevier, vol. 35(11), pages 5267-5286, November.
    14. Zhang, Da & Karplus, Valerie J. & Cassisa, Cyril & Zhang, Xiliang, 2014. "Emissions trading in China: Progress and prospects," Energy Policy, Elsevier, vol. 75(C), pages 9-16.
    15. AlShehabi, Omar Hesham, 2013. "Modelling energy and labour linkages: A CGE approach with an application to Iran," Economic Modelling, Elsevier, vol. 35(C), pages 88-98.
    16. Qi, Tianyu & Winchester, Niven & Karplus, Valerie J. & Zhang, Xiliang, 2014. "Will economic restructuring in China reduce trade-embodied CO2 emissions?," Energy Economics, Elsevier, vol. 42(C), pages 204-212.
    17. Vatthanamixay Chansomphou & Masaru Ichihashi, 2013. "Structural change, labor productivity growth, and convergence of BRIC countries," IDEC DP2 Series 3-5, Hiroshima University, Graduate School for International Development and Cooperation (IDEC).
    18. Richard Schmalensee & Thomas M. Stoker & Ruth A. Judson, 1998. "World Carbon Dioxide Emissions: 1950-2050," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 15-27, February.
    19. Rutherford, Thomas F., 1995. "Extension of GAMS for complementarity problems arising in applied economic analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 19(8), pages 1299-1324, November.
    20. Kitwiwattanachai, Anyarath & Nelson, Doug & Reed, Geoffrey, 2010. "Quantitative impacts of alternative East Asia Free Trade Areas: A Computable General Equilibrium (CGE) assessment," Journal of Policy Modeling, Elsevier, vol. 32(2), pages 286-301, March.
    21. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39(2), pages 137-137.
    22. repec:zbw:hohpro:345 is not listed on IDEAS
    23. Cardenete, Manuel Alejandro & Delgado, M. Carmen, 2015. "A simulation of impact of withdrawal European funds on Andalusian economy using a dynamic CGE model: 2014–20," Economic Modelling, Elsevier, vol. 45(C), pages 83-92.
    24. Qi, Tianyu & Zhang, Xiliang & Karplus, Valerie J., 2014. "The energy and CO2 emissions impact of renewable energy development in China," Energy Policy, Elsevier, vol. 68(C), pages 60-69.
    25. P. Capros & Denise Van Regemorter & Leonidas Paroussos & P. Karkatsoulis & C. Fragkiadakis & S. Tsani & I. Charalampidis & Tamas Revesz, 2013. "GEM-E3 Model Documentation," JRC Research Reports JRC83177, Joint Research Centre.
    26. Adams, Philip D. & Parmenter, Brian R., 2013. "Computable General Equilibrium Modeling of Environmental Issues in Australia," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 553-657, Elsevier.
    27. Rob B. Dellink, 2005. "Modelling the Costs of Environmental Policy," Books, Edward Elgar Publishing, number 3637.
    Full references (including those not matched with items on IDEAS)

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    CO2 intensity; Climate policy; China; Low carbon energy;
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