Please use this identifier to cite or link to this item: http://repositorio.gerens.edu.pe/handle/20.500.12877/66
Title: The cost of failing to prevent gas supply interruption : A CGE assessment for Peru
Authors: Romero, Carlos Adrián
Chisari, Omar Osvaldo
Mastronardi, Leonardo Javier
Vásquez Cordano, Arturo
Keywords: Computable general equilibrium
disaster analysis
natural gas
Issue Date: 2015
Publisher: FrancoAngeli
Citation: Romero, C. A., Chisari, O. O., Mastronardi, L. J., & Vásquez Cordano, A. L. (2015). The cost of failing to prevent gas supply interruption: A CGE assessment for Peru. Economics and Policy of Energy and Environment, 2, 131-148. https://doi.org/10.3280/EFE2015-002009
Abstract: Since 2000, there has been a noticeable progress in social and economic indicators of Peru. Even though the country risk has diminished dramatically, several threats remain. One of the key ones is the possibility of involuntary (transitory or permanent) interruptions of the natural gas pipeline transportation system. Given the significant endowments of natural gas reserves in Peru (Camisea gas field) and its relevance in the economy, shortages of natural gas due to pipelines failures can wreak havoc because it is important from the government revenue and it is a basic input for domestic manufacturing and household energy consumption. Earthquakes, unexpected social unrest or intentional actions could interrupt the service of some of the fundamental pipelines of the grid. One pipeline with three branches connects the upstream to the distribution centers. To take into account the economy wide impact of the interruption of gas supply we built a CGE model considering modifications of relative prices, markets reactions and income effects. We simulate different scenarios considering the three most important branches of the Camisea pipeline. The results show that those shocks would represent an important decline of GDP in the short run when substitution is limited (about or 0.2% by day) and an abrupt reduction of welfare for households. The estimated daily cost is in the range of 335 million of USD for the worst case scenario.
URI: http://repositorio.gerens.edu.pe/handle/20.500.12877/66
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