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The GTAP-Power Data Base: Disaggregating the Electricity Sector in the GTAP Data Base

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  • Jeffrey C Peters

Abstract

Computable general equilibrium (CGE) models are ubiquitous in energy and environmental economic research. Recent technological advancements in electricity fuels, generation technologies, and environmental policies which target specific generation technologies (e.g. emission regulations) have motivated detailed CGE modeling of the electricity sector. Modeling these issues requires distinct electricity generating technologies in a CGE database. Researchers using the Global Trade Analysis Project (GTAP) Data Base have disaggregated the electricity sector into generating technologies independently using largely disparate, incomparable methodologies. This paper presents the methodology used to create the GTAP-Power Data Base, an electricity-detailed extension of the GTAP 9 Data Base with the following disaggregated electricity sectors: transmission and distribution, nuclear, coal, gas, hydroelectric, wind, oil, solar, and other. Gas, oil, and hydroelectric are further differentiated as base and peak load. The �bottom-up� data are electricity generation and levelized input costs for each technology and region. The levelized input costs for each technology are estimated to be as close as possible to the original data, but consistent with the original GTAP 9 Data Base. Major limitations in the initial version of the GTAP-Power Data Base are the lack of regional coverage in input cost data and disparity between available data and the total values for the electricity aggregate. All of the GTAP 9 Data Base is included in the GTAP-Power Data Base.

Suggested Citation

  • Jeffrey C Peters, 2016. "The GTAP-Power Data Base: Disaggregating the Electricity Sector in the GTAP Data Base," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 209-250, June.
  • Handle: RePEc:gta:jnlgea:v:1:y:2016:i:1:p:209-250
    DOI: http://dx.doi.org/10.21642/JGEA.010104AF
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