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Energy Use and GDP in Israel

Authors: COSIMO MAGAZZINO;

Energy Use and GDP in Israel

Abstract

The paper aims to study the relationship between energy use and GDP in the period 1971-2007 for Israel with a time-series approach. Stationarity and unit root tests reveal that both series are non-stationary, or <em>I(1)</em>. Moreover, since both series show the presence of a structural break, the Gregory and Hansen cointegration test has been conducted. The results evidence the presence of a long-run relationship. Causality tests reveal that the “conservation hypothesis” emerges, since the causality flow runs from aggregate income to energy use. The IRFs analysis evidences that a shock to the energy use affects GDP for one period, but dies out very quickly. While shocks to GDP create a smaller but significant response in the energy use, although it falls to zero in few periods. Finally, we calculate with an ECM that the total long-run multiplier is 0.95. The energy use will increase to correct the disequilibrium, with 68% of the (remaining) deviation corrected in each subsequent time period. In addition, a one-unit increase in the GDP immediately produces a 0.18 unit increase in the energy use.

Country
Italy
Keywords

Energy use, Time series, Israel, GDP

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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