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Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions

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  • Dai, Hancheng
  • Mischke, Peggy
  • Xie, Xuxuan
  • Xie, Yang
  • Masui, Toshihiko

Abstract

As the world’s largest CO2 emitter, China is a prominent case study for scenario analysis. This study uses two newly developed global top-down and bottom-up models with a regional China focus to compare China’s future energy and CO2 emission pathways toward 2050. By harmonizing the economic and demographic trends as well as a carbon tax pathway, we explore how both models respond to these identical exogenous inputs. Then a soft-linking methodology is applied to “narrow the gap” between the results computed by these models. We find for example that without soft-linking, China’s baseline CO2 emissions might range from 15–20Gt in 2050, while soft-linking models results in 17Gt. Reasons for the results gap between the models are discussed subsequently, such as model structure and statistical inputs. At a sectoral level, the gap can be mainly traced to China’s future coal use in electricity production. The study finds that it is beneficial to soft-link complex global models under harmonized assumptions. Although this study fails to “close the gap” between the two models completely, the experiences and insights shared here will be beneficial for researchers and policy makers that are drawing conclusions from the results of China and global scenario studies.

Suggested Citation

  • Dai, Hancheng & Mischke, Peggy & Xie, Xuxuan & Xie, Yang & Masui, Toshihiko, 2016. "Closing the gap? Top-down versus bottom-up projections of China’s regional energy use and CO2 emissions," Applied Energy, Elsevier, vol. 162(C), pages 1355-1373.
  • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:1355-1373
    DOI: 10.1016/j.apenergy.2015.06.069
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    as
    1. 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.
    2. van Vuuren, Detlef P. & Hoogwijk, Monique & Barker, Terry & Riahi, Keywan & Boeters, Stefan & Chateau, Jean & Scrieciu, Serban & van Vliet, Jasper & Masui, Toshihiko & Blok, Kornelis & Blomen, Eliane , 2009. "Comparison of top-down and bottom-up estimates of sectoral and regional greenhouse gas emission reduction potentials," Energy Policy, Elsevier, vol. 37(12), pages 5125-5139, December.
    3. Bohringer, Christoph & Rutherford, Thomas F., 2008. "Combining bottom-up and top-down," Energy Economics, Elsevier, vol. 30(2), pages 574-596, March.
    4. Chen, Wenying, 2005. "The costs of mitigating carbon emissions in China: findings from China MARKAL-MACRO modeling," Energy Policy, Elsevier, vol. 33(7), pages 885-896, May.
    5. Sands, Ronald D., 2004. "Dynamics of carbon abatement in the Second Generation Model," Energy Economics, Elsevier, vol. 26(4), pages 721-738, July.
    6. Jean-Charles Hourcade, Mark Jaccard, Chris Bataille, and Frederic Ghersi, 2006. "Hybrid Modeling: New Answers to Old Challenges Introduction to the Special Issue of The Energy Journal," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 1-12.
    7. Andreas Schafer and Henry D. Jacoby, 2006. "Experiments with a Hybrid CGE-MARKAL Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 171-177.
    8. Rivers, Nic & Jaccard, Mark, 2006. "Useful models for simulating policies to induce technological change," Energy Policy, Elsevier, vol. 34(15), pages 2038-2047, October.
    9. Terry Barker & Jonathan Köhler & Marcelo Villena, 2002. "Costs of greenhouse gas abatement: meta-analysis of post-SRES mitigation scenarios," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 5(2), pages 135-166, June.
    10. 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.
    11. Mischke, Peggy & Karlsson, Kenneth B., 2014. "Modelling tools to evaluate China's future energy system – A review of the Chinese perspective," Energy, Elsevier, vol. 69(C), pages 132-143.
    12. 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.
    13. Riekkola, Anna Krook & Berg, Charlotte & Ahlgren, Erik O. & Söderholm, Patrik, 2013. "Challenges in Soft-Linking: The Case of EMEC and TIMES-Sweden," Working Papers 133, National Institute of Economic Research.
    14. Richard Loulou, 2008. "ETSAP-TIAM: the TIMES integrated assessment model. part II: mathematical formulation," Computational Management Science, Springer, vol. 5(1), pages 41-66, February.
    15. 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.
    16. 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.
    17. Jean Charles Hourcade & Mark Jaccard & Chris Bataille & Frédéric Ghersi, 2006. "Hybrid Modeling: New Answers to Old Challenges," Post-Print halshs-00471234, HAL.
    18. Martinsen, Thomas, 2011. "Introducing technology learning for energy technologies in a national CGE model through soft links to global and national energy models," Energy Policy, Elsevier, vol. 39(6), pages 3327-3336, June.
    19. Strachan, Neil & Kannan, Ramachandran, 2008. "Hybrid modelling of long-term carbon reduction scenarios for the UK," Energy Economics, Elsevier, vol. 30(6), pages 2947-2963, November.
    20. Ferdinand A. Gul & Judy S. L. Tsui, 2004. "Introduction and overview," Palgrave Macmillan Books, in: The Governance of East Asian Corporations, chapter 1, pages 1-26, Palgrave Macmillan.
    21. 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.
    22. Patricia Fortes & Sofia Simões & Júlia Seixas & Denise Van Regemorter & Francisco Ferreira, 2013. "Top-down and bottom-up modelling to support low-carbon scenarios: climate policy implications," Climate Policy, Taylor & Francis Journals, vol. 13(3), pages 285-304, May.
    23. Richard Loulou & Maryse Labriet, 2008. "ETSAP-TIAM: the TIMES integrated assessment model Part I: Model structure," Computational Management Science, Springer, vol. 5(1), pages 7-40, February.
    24. van Vuuren, Detlef & Fengqi, Zhou & Vries, Bert de & Kejun, Jiang & Graveland, Cor & Yun, Li, 2003. "Energy and emission scenarios for China in the 21st century--exploration of baseline development and mitigation options," Energy Policy, Elsevier, vol. 31(4), pages 369-387, March.
    25. Weyant, John P., 2004. "Introduction and overview," Energy Economics, Elsevier, vol. 26(4), pages 501-515, July.
    26. Mischke, Peggy & Xiong, Weiming, 2015. "Mapping and benchmarking regional disparities in China’s energy supply, transformation, and end-use in 2010," Applied Energy, Elsevier, vol. 143(C), pages 359-369.
    27. Mischke, Peggy, 2013. "China's energy statistics in a global context: A methodology to develop regional energy balances for East, Central and West China," MPRA Paper 50305, University Library of Munich, Germany.
    28. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
    29. Proença, Sara & St. Aubyn, Miguel, 2013. "Hybrid modeling to support energy-climate policy: Effects of feed-in tariffs to promote renewable energy in Portugal," Energy Economics, Elsevier, vol. 38(C), pages 176-185.
    30. Calvin, Katherine & Clarke, Leon & Krey, Volker & Blanford, Geoffrey & Jiang, Kejun & Kainuma, Mikiko & Kriegler, Elmar & Luderer, Gunnar & Shukla, P.R., 2012. "The role of Asia in mitigating climate change: Results from the Asia modeling exercise," Energy Economics, Elsevier, vol. 34(S3), pages 251-260.
    31. Wilson, Deborah & Swisher, Joel, 1993. "Exploring the gap : Top-down versus bottom-up analyses of the cost of mitigating global warming," Energy Policy, Elsevier, vol. 21(3), pages 249-263, March.
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