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What are the starting points? Evaluating base-year assumptions in the Asian Modeling Exercise

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  • Chaturvedi, Vaibhav
  • Waldhoff, Stephanie
  • Clarke, Leon
  • Fujimori, Shinichiro

Abstract

A common feature of model inter-comparison efforts is that the base year numbers for important parameters such as population and GDP can differ substantially across models. This paper explores the sources and implications of this variation in Asian countries across the models participating in the Asian Modeling Exercise (AME). Because the models do not all have a common base year, each team was required to provide data for 2005 for comparison purposes. This paper compares the year 2005 information for different models, noting the degree of variation in important parameters, including population, GDP, primary energy, electricity, and CO2 emissions. It then explores the difference in these key parameters across different sources of base-year information. The analysis confirms that the sources provide different values for many key parameters. This variation across data sources and additional reasons why models might provide different base-year numbers, including differences in regional definitions, differences in model base year, and differences in GDP transformation methodologies, are then discussed in the context of the AME scenarios. Finally, the paper explores the implications of base-year variation on long-term model results.

Suggested Citation

  • Chaturvedi, Vaibhav & Waldhoff, Stephanie & Clarke, Leon & Fujimori, Shinichiro, 2012. "What are the starting points? Evaluating base-year assumptions in the Asian Modeling Exercise," Energy Economics, Elsevier, vol. 34(S3), pages 261-271.
  • Handle: RePEc:eee:eneeco:v:34:y:2012:i:s3:p:s261-s271
    DOI: 10.1016/j.eneco.2012.05.004
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    1. 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.
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    1. Lucas, Paul L. & Nielsen, Jens & Calvin, Katherine & L. McCollum, David & Marangoni, Giacomo & Strefler, Jessica & van der Zwaan, Bob C.C. & van Vuuren, Detlef P., 2015. "Future energy system challenges for Africa: Insights from Integrated Assessment Models," Energy Policy, Elsevier, vol. 86(C), pages 705-717.
    2. Clarke, Leon & Krey, Volker & Weyant, John & Chaturvedi, Vaibhav, 2012. "Regional energy system variation in global models: Results from the Asian Modeling Exercise scenarios," Energy Economics, Elsevier, vol. 34(S3), pages 293-305.
    3. van Ruijven, Bas J. & Daenzer, Katie & Fisher-Vanden, Karen & Kober, Tom & Paltsev, Sergey & Beach, Robert H. & Calderon, Silvia Liliana & Calvin, Kate & Labriet, Maryse & Kitous, Alban & Lucena, Andr, 2016. "Baseline projections for Latin America: base-year assumptions, key drivers and greenhouse emissions," Energy Economics, Elsevier, vol. 56(C), pages 499-512.
    4. Bosello, Francesco & Orecchia, Carlo & Raitzer, David A., 2016. "Decarbonization Pathways in Southeast Asia: New Results for Indonesia, Malaysia, Philippines, Thailand and Viet Nam," MITP: Mitigation, Innovation and Transformation Pathways 250260, Fondazione Eni Enrico Mattei (FEEM).
    5. Blanford, Geoffrey J. & Rose, Steven K. & Tavoni, Massimo, 2012. "Baseline projections of energy and emissions in Asia," Energy Economics, Elsevier, vol. 34(S3), pages 284-292.
    6. 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.
    7. Srinivasan, Shweta & Kholod, Nazar & Chaturvedi, Vaibhav & Ghosh, Probal Pratap & Mathur, Ritu & Clarke, Leon & Evans, Meredydd & Hejazi, Mohamad & Kanudia, Amit & Koti, Poonam Nagar & Liu, Bo & Parik, 2018. "Water for electricity in India: A multi-model study of future challenges and linkages to climate change mitigation," Applied Energy, Elsevier, vol. 210(C), pages 673-684.
    8. Sergey Paltsev, 2017. "Energy scenarios: the value and limits of scenario analysis," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 6(4), July.
    9. Bosello, Francesco & Marangoni, Giacomo & Orecchia, Carlo & Raitzer, David A. & Tavoni, Massimo, 2016. "The Cost of Climate Stabilization in Southeast Asia, a Joint Assessment with Dynamic Optimization and CGE Models," MITP: Mitigation, Innovation and Transformation Pathways 251810, Fondazione Eni Enrico Mattei (FEEM).
    10. Chaturvedi, Vaibhav & Kim, Sonny & Smith, Steven J. & Clarke, Leon & Yuyu, Zhou & Kyle, Page & Patel, Pralit, 2013. "Model evaluation and hindcasting: An experiment with an integrated assessment model," Energy, Elsevier, vol. 61(C), pages 479-490.
    11. Ajay Gambhir & Isabela Butnar & Pei-Hao Li & Pete Smith & Neil Strachan, 2019. "A Review of Criticisms of Integrated Assessment Models and Proposed Approaches to Address These, through the Lens of BECCS," Energies, MDPI, vol. 12(9), pages 1-21, May.

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    More about this item

    Keywords

    Base year data; Integrated assessment models; Energy-emission scenarios; Asian countries;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q59 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Other

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