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The relationship between energy demand and real GDP growth rate: The role of price asymmetries and spatial externalities within 34 countries across the globe

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  • Fotis, Panagiotis
  • Karkalakos, Sotiris
  • Asteriou, Dimitrios

Abstract

The aim of this paper is to empirically explore the relationship between energy demand and real Gross Domestic Product (GDP) growth and to investigate the role of regional externalities on per capita Final Energy Consumption (FEC) in 34 countries during the period from 2005 to 2013. The paper utilizes a Dynamic Panel Generalized Method of Moments (DPGGM) approach and spatial econometric techniques in order to analyse the effect of real GDP growth rate on FEC through an Error Correction Model (ECM) and to examine clustered patterns of energy consumption. The results show that a) the demand is elastic both in the industrial and the household/services sectors, b) electricity and natural gas are demand substitutes, c) the relationship between real GDP growth rate and per capita energy consumption exhibits an inverted U-shape for all the sample countries under scrutiny (34 countries, Eurozone and EU28), but not for all the employed sectors of the economy, d) price (electricity and gas) and GDP growth asymmetries are supported from the employed parametric tests, and, e) distance does not affect per capita FEC, but economic neighbours have a strong positive effect.

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  • Fotis, Panagiotis & Karkalakos, Sotiris & Asteriou, Dimitrios, 2017. "The relationship between energy demand and real GDP growth rate: The role of price asymmetries and spatial externalities within 34 countries across the globe," Energy Economics, Elsevier, vol. 66(C), pages 69-84.
    • Handle: RePEc:eee:eneeco:v:66:y:2017:i:c:p:69-84
    DOI: 10.1016/j.eneco.2017.05.027
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    Keywords

    Energy demand–income nexus; DPDGMM; Error correction model; Spatial externalities; EU34–EU28–Eurozone;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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