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ISSN 1995-459X print
E-ISSN 2312-9972 online
ISSN 2500-2597 online English

Leonid Gokhberg


Gilbert Ahamer1,2
  • 1 Environment Agency Austria, Spittelauer Lände 5, 1090 Vienna, Austria
  • 2 Institute for Economic History at the Graz University, Brandhofgasse 5, 8010 Graz, Austria

Applying Global Databases to Foresight for Energy and Land Use: the GCDB method

2018. Vol. 12. No. 4. P. 46–61 [issue contents]

Any economy strongly depends on energy trends, which, as practice shows, are non-linear. This paper proposes an efficient method for predicting these trends. It is based upon a geo-referenced approach and combines a biosphere-energy model with a Global Change Data Base (GCDB). The advantage of the considered method over “pure modeling” lies in its heuristics, dealing with the real historical dynamics of techno-socio-economic systems. Newly emerging qualities and saturation effects will be better portrayed by the proposed method, which includes first and second derivatives. The novelty of the GCDB method is in that it uses correlations of data series rather than data points. This allows for insights when contemplating swarms of data series and a heuristic examination of whether or not the widely-used hypothesis of path dependency in energy economics – and, more generally, in economic development – is applicable.
The author believes that the application of the GCDB method will increase the objectivity of the collected data, enrich the knowledge in the field of «growth theory», expand the knowledge base, and increase the efficiency of public policy related to climate change.

Citation: Ahamer G. (2018) Applying Global Databases to Foresight for Energy and Land Use: The GCDB Method. Foresight and STI Governance, vol. 12, no 4, pp. 46–61. DOI: 10.17323/2500-2597.2018.4.46.61
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