Persistence in world energy consumption: Evidence from subsampling confidence intervals

Firouz Fallahi, Mohammad Karimi and Marcel Voia

Energy Economics, 2016, vol. 57, issue C, 175-183

Abstract: This paper analyzes the persistence properties of energy consumption in 107 countries over the 1971–2011 period. It uses subsampling confidence interval methods that are more informative than simple unit root tests to describe the underlying process of energy consumption. Because subsampling requires fewer assumptions on the nature of the data generating process, inference is less prone to a number of potential misspecification errors. By focusing on the degree of persistence in the process describing a country's energy consumption, the analysis not only provides evidence on the stationarity or nonstationarity of the energy consumption but also gives insight into the likely success of environmentally oriented government intervention. The analysis finds that the 107 countries can be grouped into three persistence classes: those whose energy consumption is explosive (highly populated countries with high growth rates); those with nonstationary energy consumption (developing and highly oil dependent economies); and those whose energy consumption is stationary (developed and energy-rich countries). In nonstationary cases, government intervention can be effective and produce permanent improvements in energy conservation and other environmental concerns. In stationary cases energy conservation and environmentally-oriented demand-management policies can have only temporary effects and thus designed to speed re-adjustment to the longer run underlying trend.

Keywords: Energy consumption; Confidence interval; Stationary; Persistence; Subsampling (search for similar items in EconPapers)
JEL-codes: C22 Q40 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:57:y:2016:i:c:p:175-183

DOI: 10.1016/j.eneco.2016.04.021

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