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A meta-analysis investigation of the direction of the energy-GDP causal relationship: implications for the growth-degrowth dialogue

Abstract The complex relation between energy use and the economic process has long attracted attention. Issues such as the scarcity of energy resources, energy theory of value, degrowth and a-growth approaches are closely related to the relationship between energy and development. The present study traces the implications of the Energy-GDP causality dialogue for the context of the growth-degrowth debate, where the energy-development link plays a decisive role. In that context, the present research investigates the possible existence of a fundamental “macro” direction of causality between energy use and economic growth that is not influenced by study-specific characteristics and events. Towards this objective, we perform a meta-analysis that takes into account 158 studies on causality between energy and GDP, covering the period 1978–2011. This is the first time, to our knowledge, that meta-analysis has been applied to investigate the direction of the energy and GDP causal relationship. The meta-analysis results neither support the existence of a fundamental “macro” direction, nor the so-called “neutrality hypothesis (E ≠ GDP)” in the causal relationship between energy consumption and economic growth.
- Michigan State University United States
- Panteion University Greece
- Michigan State University United States
- Panteion University Greece
citations 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).97 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
