IDEAS home Printed from https://ideas.repec.org/p/ags/pugtwp/331856.html
   My bibliography  Save this paper

Dynamic (GTAP) model and baseline for energy and environment issues

Author

Listed:
  • Niemi, Janne

Abstract

Dynamic CGE models are widely used in research on long-term energy and climate policies. Whilst a range of models exist, their emphasis is clearly on energy products. For a more general evaluation of energy and climate related policies on e.g. evolution of production structures, in combination with changes in macroeconomic characteristics, like aging population and increased labour skill levels, the GTAP data and Dynamic Model provide an appealing tool. However, the latter does not take into account the special characteristics of the energy products and the policy instruments such as emission trade. This paper presents a modified version of the dynamic GTAP-model and a long-run baseline, constructed particularly for analysis of energy and environment issues. The model incorporates CO2 emissions accounting and trading, as well as substitution between alternative forms of energy following the principles introduced in the GTAP-E model. The baseline includes, apart from the standard macroeconomic projections, assessments of new technologies enhancing energy use and production. Some example simulations illustrating the effects of alternative growth assumptions using the model and baseline are also given. The additional model features are implemented in a manner that allows flexibility with regard to sector and region aggregation and the sets of energy commodities. Whilst the basic principle builds primarily on the solutions incorporated in the GTAP-E model, changes are made to the defining of additional sets and, more importantly, to the treatment of emissions trade participation. This is required to enable gradual extension of trading area and flexible simulation of alternative policy options. An attempt is also made to extend the energy commodities to alternative sources, especially biofuel, as GTAP data provides an excellent framework for analysing the topical issues related to energy and food supply. The macroeconomic variables for a long-run baseline, reaching up to year 2050, are compiled from various international sources and calibrated. These variables include projections for population, skilled and unskilled labour force, and total factor productivity. In addition, with help of energy technology systems models, estimates are produced for increase in energy efficiency and for technological change enhancing energy production.

Suggested Citation

  • Niemi, Janne, 2009. "Dynamic (GTAP) model and baseline for energy and environment issues," Conference papers 331856, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:331856
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/331856/files/4381.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    2. McDougall, Robert A., 1999. "Entropy Theory and RAS are Friends," Working papers 283439, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-549, August.
    4. McDougall, Robert, 1999. "Entropy Theory and RAS are Friends," GTAP Working Papers 300, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrea Bacilieri & Pablo Austudillo-Estevez, 2023. "Reconstructing firm-level input-output networks from partial information," Papers 2304.00081, arXiv.org.
    2. Ramos Carvajal, Carmen & Fernández Vázquez, Esteban, 2002. "Temporal projection of an input-output tables series for the region of Asturias," ERSA conference papers ersa02p211, European Regional Science Association.
    3. Jakub Boratyński, 2016. "A Bayesian Approach to Matrix Balancing: Transformation of Industry-Level Data under NACE Revision," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(4), pages 219-239, December.
    4. M. Alejandro Cardenete & Ferran Sancho, 2002. "Sensitivity of Simulation Results to Competing SAM Updates," UFAE and IAE Working Papers 556.02, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    5. Hamasaki, Hiroshi, 2004. "Japanese strategy on climate change to achieve the Kyoto Target with steady economic development -An investigation by using the dynamic version of GTAP-E model," Conference papers 331201, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    6. repec:rre:publsh:v:34:y:2004:i:1:p:37-56 is not listed on IDEAS
    7. Peters, Jeffrey C. & Hertel, Thomas W., 2016. "The database–modeling nexus in integrated assessment modeling of electric power generation," Energy Economics, Elsevier, vol. 56(C), pages 107-116.
    8. Casiano A. Manrique-de-Lara-Peñate & Dolores R. Santos-Peñate, 2017. "SAM updating using multi-objective optimization techniques," Papers in Regional Science, Wiley Blackwell, vol. 96(3), pages 647-667, August.
    9. Chisari, Omar Osvaldo & Mastronardi, Leonardo Javier & Romero, Carlos Adrián, 2012. "Building an input-output Model for Buenos Aires City," MPRA Paper 40028, University Library of Munich, Germany.
    10. Umed Temursho & Manuel Alejandro Cardenete & Krzysztof Wojtowicz & Luis Rey & Matthias Weitzel & Toon Vandyck & Bert Saveyn, 2020. "Projecting input-output tables for model baselines," JRC Research Reports JRC120513, Joint Research Centre.
    11. Casiano Manrique De Lara Peñate & Dolores Santos-Peñate, 2006. "Comparison of Different Updating Procedures and Identification of Temporal Patterns," EcoMod2006 272100059, EcoMod.
    12. Alfredo José Mainar‐Causapé & Pierre Boulanger & Hasan Dudu & Emanuele Ferrari, 2020. "Policy impact assessment in developing countries using Social Accounting Matrices: The Kenya SAM 2014," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 1128-1149, August.
    13. Canning, Patrick & Wang, Zhi, 2003. "A Flexible Modeling Framework to Estimate Interregional Trade Patterns and Input-Output Accounts," Conference papers 331136, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    14. Sherman Robinson & Andrea Cattaneo & Moataz El-Said, 2001. "Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods," Economic Systems Research, Taylor & Francis Journals, vol. 13(1), pages 47-64.
    15. Casiano Peñate & Dolores Peñate, 2004. "New Nonlinear Approaches for the Adjustment and Updating of a SAM," Economic Change and Restructuring, Springer, vol. 36(3), pages 259-272, September.
    16. Alfredo J. Mainar Causape & George Philippidis & Arnaldo Caivano, 2018. "BioSAMs for the EU Member States: Constructing Social Accounting Matrices with a detailed disaggregation of the bio-economy," JRC Research Reports JRC111812, Joint Research Centre.
    17. Alfredo J. Mainar Causape & Emanuele Ferrari & Scott McDonald, 2018. "Social accounting matrices: basic aspects and main steps for estimation," JRC Research Reports JRC112075, Joint Research Centre.
    18. Rich, Jeppe & Mulalic, Ismir, 2012. "Generating synthetic baseline populations from register data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 467-479.
    19. Haykel Hadj Salem, 2004. "The Macroeconomic Social Accounting Matrix of Tunisia in 1996," Computational Economics 0410001, University Library of Munich, Germany.
    20. Ichihara, Silvio Massaru & Guilhoto, Joaquim José Martins & Imori, Denise, 2008. "Geoprocessing and estimation of interregional input-output systems an application to the state of Sao Paulo in Brazil," MPRA Paper 54036, University Library of Munich, Germany.
    21. Alfredo J. Mainar Causape & Pierre Boulanger & Hasan Dudu & Emanuele Ferrari & Scott McDonald & Arnaldo Caivano, 2018. "Social Accounting Matrix of Kenya 2014," JRC Research Reports JRC110385, Joint Research Centre.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:pugtwp:331856. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gtpurus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.