IDEAS home Printed from https://ideas.repec.org/p/gws/dpaper/13-5.html
   My bibliography  Save this paper

Macroeconomic Modelling of the Global Economy-Energy-Environment Nexus - An Overview of Recent Advancements of the Dynamic Simulation Model GINFORS

Author

Listed:
  • Mark Meyer

    () (GWS - Institute of Economic Structures Research)

  • Martin Distelkamp

    () (GWS - Institute of Economic Structures Research)

  • Gerd Ahlert

    () (GWS - Institute of Economic Structures Research)

  • Prof. Dr. Bernd Meyer

    () (GWS - Institute of Economic Structures Research)

Abstract

GINFORS (Global INterindustry FORecasting System) represents a state–of–the–art tool for integrated quantitative policy assessments of long run economic developments and associated pressures on the environment. Its empirical modelling framework rests on national input–output accounts which are bilaterally interconnected by international trade at the industry level. Assuming bounded rationality of agents and imperfect markets, an iterative solution algorithm facilitates ex ante simulation studies of the non-equilibrium features of globalizing economies. From a methodological point of view, GINFORS might thus be categorised as a dynamic econometric model. However, its powerful simulation capabilities also provide extensive insights into the broader economy–energy–environment nexus (see, i.a., http://cecilia2050.eu/ or www.topdad.eu/ for ongoing FP7 research work with references to climate change and the transformation to a low carbon economy as well as to climate change adaptation policy issues). The GINFORS approach relies heavily on the availability of harmonised international Input–Output datasets (preferably as annual time series). As the May 2012 release of the publicly available World Input Output Database (WIOD, see also http://www.wiod.org/) represents outstanding advancements in this regard, we decided to incorporate the WIOD datasets into the GINFORS database. This paper highlights selected issues of these most recent empirical maintenance works. Given our personal experience we intend to illustrate the significance of the WIOD database but also to stimulate a discussion of its linkages to the underlying United Nations data set on the sequence of accounts and balancing items, the second core data set within the System of National Accounts (SNA), from the viewpoint of applied economic research.

Suggested Citation

  • Mark Meyer & Martin Distelkamp & Gerd Ahlert & Prof. Dr. Bernd Meyer, 2013. "Macroeconomic Modelling of the Global Economy-Energy-Environment Nexus - An Overview of Recent Advancements of the Dynamic Simulation Model GINFORS," GWS Discussion Paper Series 13-5, GWS - Institute of Economic Structures Research.
  • Handle: RePEc:gws:dpaper:13-5
    as

    Download full text from publisher

    File URL: http://www.gws-os.com/discussionpapers/gws-paper13-5.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Christian Lutz, 2010. "How to increase global resource productivity? Findings from modelling in the petrE project," International Economics and Economic Policy, Springer, vol. 7(2), pages 343-356, August.
    2. Prof. Dr. Bernd Meyer & Gerd Ahlert & Roland Zieschank & Prof. Dr. Hans Diefenbacher, 2013. "Basic Structures and Political Implications of a Sustainable Welfare Model," GWS Discussion Paper Series 13-2, GWS - Institute of Economic Structures Research.
    3. Arnold Tukker & Arjan de Koning & Richard Wood & Troy Hawkins & Stephan Lutter & Jose Acosta & Jose M. Rueda Cantuche & Maaike Bouwmeester & Jan Oosterhaven & Thomas Drosdowski & Jeroen Kuenen, 2013. "Exiopol - Development And Illustrative Analyses Of A Detailed Global Mr Ee Sut/Iot," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 50-70, March.
    4. Kirsten S. Wiebe & Martin Bruckner & Stefan Giljum & Christian Lutz, 2012. "Calculating Energy-Related Co 2 Emissions Embodied In International Trade Using A Global Input--Output Model," Economic Systems Research, Taylor & Francis Journals, vol. 24(2), pages 113-139, November.
    5. Lutz, Christian & Lehr, Ulrike & Wiebe, Kirsten S., 2012. "Economic effects of peak oil," Energy Policy, Elsevier, vol. 48(C), pages 829-834.
    6. Wiedmann, Thomas & Wilting, Harry C. & Lenzen, Manfred & Lutter, Stephan & Palm, Viveka, 2011. "Quo Vadis MRIO? Methodological, data and institutional requirements for multi-region input-output analysis," Ecological Economics, Elsevier, vol. 70(11), pages 1937-1945, September.
    7. Lutz, Christian & Meyer, Bernd, 2009. "Environmental and economic effects of post-Kyoto carbon regimes: Results of simulations with the global model GINFORS," Energy Policy, Elsevier, vol. 37(5), pages 1758-1766, May.
    8. Erik Dietzenbacher & Bart Los & Robert Stehrer & Marcel Timmer & Gaaitzen de Vries, 2013. "The Construction Of World Input-Output Tables In The Wiod Project," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 71-98, March.
    9. Wiedmann, Thomas, 2009. "A review of recent multi-region input-output models used for consumption-based emission and resource accounting," Ecological Economics, Elsevier, vol. 69(2), pages 211-222, December.
    10. Wiedmann, Thomas & Lenzen, Manfred & Turner, Karen & Barrett, John, 2007. "Examining the global environmental impact of regional consumption activities -- Part 2: Review of input-output models for the assessment of environmental impacts embodied in trade," Ecological Economics, Elsevier, vol. 61(1), pages 15-26, February.
    11. J. C. Minx & T. Wiedmann & R. Wood & G. P. Peters & M. Lenzen & A. Owen & K. Scott & J. Barrett & K. Hubacek & G. Baiocchi & A. Paul & E. Dawkins & J. Briggs & D. Guan & S. Suh & F. Ackerman, 2009. "Input-Output Analysis And Carbon Footprinting: An Overview Of Applications," Economic Systems Research, Taylor & Francis Journals, vol. 21(3), pages 187-216.
    12. Bernd Meyer & Christian Lutz & Peter Schnur & Gerd Zika, 2007. "National Economic Policy Simulations with Global Interdependencies: A Sensitivity Analysis for Germany," Economic Systems Research, Taylor & Francis Journals, vol. 19(1), pages 37-55.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martin Distekamp & Mark Meyer, 2016. "Quantitative Assessment of Pathways to a Resource-Efficient and Low-Carbon Europe," GWS Discussion Paper Series 16-10, GWS - Institute of Economic Structures Research.
    2. Dr. Marc Ingo Wolter & Anett Großmann & Anke Mönnig & Dr. Kirsten Svenja Wiebe, 2014. "TINFORGE - Trade for the INterindustry FORecasting GErmany Model," GWS Discussion Paper Series 14-1, GWS - Institute of Economic Structures Research.

    More about this item

    Keywords

    environmental policy; multi-region Input-Output analysis; world trade model; embodied environmental impacts;

    JEL classification:

    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • 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
    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • F18 - International Economics - - Trade - - - Trade and Environment

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:gws:dpaper:13-5. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (GWS mbH). General contact details of provider: http://edirc.repec.org/data/gwsosde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.