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Designing an Emissions Trading Scheme for China – An Up-to-date Climate Policy Assessment

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  • Michael Hübler
  • Sebastian Voigt
  • Andreas Löschel

Abstract

We assess recent Chinese climate policy proposals in a multi-region, multi-sector computable general equilibrium model with a Chinese carbon emissions trading scheme (ETS). We conduct a quantitative assessment of the Chinese emissions trading scheme (ETS) with the help of PACE (Policy Analysis based on Computable Equilibrium). PACE is a multi-sector, multi-region computable general equilibrium (CGE) model of global production, consumption, trade and energy use which is calibrated for the year 2005 proceeding in five-year time steps until the year 2030. The model is recursive dynamic, this means, it is solved for a sequence of global market equilibria. The equilibria are connected via investments and other exogenous drivers of economic growth. The benchmark data for the year 2004/2005 are taken from the GTAP 7 data base (Global Trade Analysis Project; Badri and Walmsley, 2008). Data for the dynamic business-as-usual (BAU) calibration until 2030 are taken from IEO (2008/2010). IEO (2008/2010) provides detailed regional data on fuel-specific primary energy consumption and carbon emissions. Pricing of carbon emissions with the help of an ETS results in macroeconomic effects (welfare, GDP, net exports etc.) and sectoral effects (output reductions). When the emissions intensity per GDP in 2020 is required to be 45% lower than in 2005, the model simulations indicate that the climate policy- induced welfare loss in 2020, measured as the level of GDP and welfare in 2020 under climate policy relative to their level under business-as-usual (BAU) in the same year, is about 1%. The Chinese welfare loss in 2020 slightly increases in the Chinese rate of economic growth in 2020. When keeping the emissions target fixed at the 2020 level after 2020 in absolute terms, the welfare loss will reach about 2% in 2030. If China’s annual economic growth rate is 0.5 percentage points higher (lower), the climate policy-induced welfare loss in 2030 will rise (decline) by about 0.5 percentage points. When imposing a laxer 40% intensity target, the losses will decline to 1.7% in 2030. Full auctioning of carbon allowances results in very similar macroeconomic effects as free allocation, but the results differ significantly at the sector level. Linking the Chinese to the European ETS and restricting the transfer volume to one third of the EU’s reduction effort creates at best a small benefit for China, yet with smaller sectoral output reductions than auctioning. These results highlight the importance of designing the Chinese ETS wisely.

Suggested Citation

  • Michael Hübler & Sebastian Voigt & Andreas Löschel, 2014. "Designing an Emissions Trading Scheme for China – An Up-to-date Climate Policy Assessment," EcoMod2014 6775, EcoMod.
    • Handle: RePEc:ekd:006356:6775
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    as
    1. Carraro, Carlo & Massetti, Emanuele, 2012. "Energy and climate change in China," Environment and Development Economics, Cambridge University Press, vol. 17(6), pages 689-713, December.
    2. Weitzel, Matthias & Hübler, Michael & Peterson, Sonja, 2012. "Fair, optimal or detrimental? Environmental vs. strategic use of border carbon adjustment," Energy Economics, Elsevier, vol. 34(S2), pages 198-207.
    3. Marschinski, Robert & Edenhofer, Ottmar, 2010. "Revisiting the case for intensity targets: Better incentives and less uncertainty for developing countries," Energy Policy, Elsevier, vol. 38(9), pages 5048-5058, September.
    4. Montgomery, W. David, 1972. "Markets in licenses and efficient pollution control programs," Journal of Economic Theory, Elsevier, vol. 5(3), pages 395-418, December.
    5. Marschinski, Robert & Flachsland, Christian & Jakob, Michael, 2012. "Sectoral linking of carbon markets: A trade-theory analysis," Resource and Energy Economics, Elsevier, vol. 34(4), pages 585-606.
    6. Gernot Klepper & Sonja Peterson, 2006. "Emissions Trading, CDM, JI, and More: The Climate Strategy of the EU," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-26.
    7. Lin, Boqiang & Jiang, Zhujun, 2011. "Estimates of energy subsidies in China and impact of energy subsidy reform," Energy Economics, Elsevier, vol. 33(2), pages 273-283, March.
    8. Rutherford, Thomas F, 1999. "Applied General Equilibrium Modeling with MPSGE as a GAMS Subsystem: An Overview of the Modeling Framework and Syntax," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 1-46, October.
    9. Hübler, Michael & Löschel, Andreas, 2013. "The EU Decarbonisation Roadmap 2050—What way to walk?," Energy Policy, Elsevier, vol. 55(C), pages 190-207.
    10. Azusa OKAGAWA & Kanemi BAN, 2008. "Estimation of substitution elasticities for CGE models," Discussion Papers in Economics and Business 08-16, Osaka University, Graduate School of Economics.
    11. Hübler, Michael & Baumstark, Lavinia & Leimbach, Marian & Edenhofer, Ottmar & Bauer, Nico, 2012. "An integrated assessment model with endogenous growth," Ecological Economics, Elsevier, vol. 83(C), pages 118-131.
    12. Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru & Fujimori, Shinichiro, 2012. "The impacts of China’s household consumption expenditure patterns on energy demand and carbon emissions towards 2050," Energy Policy, Elsevier, vol. 50(C), pages 736-750.
    13. Hübler, Michael, 2011. "Technology diffusion under contraction and convergence: A CGE analysis of China," Energy Economics, Elsevier, vol. 33(1), pages 131-142, January.
    14. Wei Jin, 2012. "Can Technological Innovation Help China Take on Its Climate Responsibility? A Computable General Equilibrium Analysis," CAMA Working Papers 2012-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Böhringer, Christoph & Lange, Andreas, 2003. "Efficiency, Compensation, and Discrimination: What is at Stake When Implementing the EU Emissions Trading Scheme?," ZEW Discussion Papers 03-73, ZEW - Leibniz Centre for European Economic Research.
    16. Jensen, Jesper & Rasmussen, Tobias N., 2000. "Allocation of CO2 Emissions Permits: A General Equilibrium Analysis of Policy Instruments," Journal of Environmental Economics and Management, Elsevier, vol. 40(2), pages 111-136, September.
    17. Edwards, T. Huw. & Hutton, John P., 2001. "Allocation of carbon permits within a country: a general equilibrium analysis of the United Kingdom," Energy Economics, Elsevier, vol. 23(4), pages 371-386, July.
    18. Zhang, Da & Rausch, Sebastian & Karplus, Valerie J. & Zhang, Xiliang, 2013. "Quantifying regional economic impacts of CO2 intensity targets in China," Energy Economics, Elsevier, vol. 40(C), pages 687-701.
    19. Wang, Ke & Wang, Can & Chen, Jining, 2009. "Analysis of the economic impact of different Chinese climate policy options based on a CGE model incorporating endogenous technological change," Energy Policy, Elsevier, vol. 37(8), pages 2930-2940, August.
    20. Bohringer, Christoph & Rutherford, Thomas F., 2008. "Combining bottom-up and top-down," Energy Economics, Elsevier, vol. 30(2), pages 574-596, March.
    21. Peter Heindl & Sebastian Voigt, 2012. "Supply and demand structure for international offset permits under the Copenhagen Pledges," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 12(4), pages 343-360, November.
    22. Böhringer, Christoph & Rutherford, Thomas F. & Tol, Richard S. J., 2009. "The EU 20/20/2020 Targets: An Overview of the EMF22 Assessment," Papers WP325, Economic and Social Research Institute (ESRI).
    23. Paltsev, Sergey & Morris, Jennifer & Cai, Yongxia & Karplus, Valerie & Jacoby, Henry, 2012. "The role of China in mitigating climate change," Energy Economics, Elsevier, vol. 34(S3), pages 444-450.
    24. Hübler, Michael, 2012. "Carbon tariffs on Chinese exports: Emissions reduction, threat, or farce?," Energy Policy, Elsevier, vol. 50(C), pages 315-327.
    25. Jin, Wei, 2012. "Can technological innovation help China take on its climate responsibility? An intertemporal general equilibrium analysis," Energy Policy, Elsevier, vol. 49(C), pages 629-641.
    26. Christoph Böhringer & Andreas Löschel, 2005. "Climate Policy Beyond Kyoto: Quo Vadis?," Kyklos, Wiley Blackwell, vol. 58(4), pages 467-493, November.
    27. Li, Ji Feng & Wang, Xin & Zhang, Ya Xiong, 2012. "Is it in China's interest to implement an export carbon tax?," Energy Economics, Elsevier, vol. 34(6), pages 2072-2080.
    28. Lawrence Goulder, 1995. "Environmental taxation and the double dividend: A reader's guide," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 2(2), pages 157-183, August.
    29. 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.
    30. 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.
    31. Saveyn, Bert & Paroussos, Leonidas & Ciscar, Juan-Carlos, 2012. "Economic analysis of a low carbon path to 2050: A case for China, India and Japan," Energy Economics, Elsevier, vol. 34(S3), pages 451-458.
    32. Steckel, Jan Christoph & Jakob, Michael & Marschinski, Robert & Luderer, Gunnar, 2011. "From carbonization to decarbonization?--Past trends and future scenarios for China's CO2 emissions," Energy Policy, Elsevier, vol. 39(6), pages 3443-3455, June.
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    More about this item

    Keywords

    People's Republic of China; General equilibrium modeling (CGE); Impact and scenario analysis;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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