Energy, Debt, and Growth: Time Series Evidence on Causality in OECD European Countries

In this paper, we explore the causal relationships between energy, debt, and growth for a selection of nine OECD European countries. This examination enables us to draw lessons and deduce implications regarding the interconnections between these variables, helping us determine whether they evolve independently, or are mutually related. To conduct this analysis, we utilize annual data and employ econometric techniques, including vector-autoregressive (VAR) models, as well as Granger and Toda-Yamamoto causality tests, applied to specific countries within the group. Our key findings provide significant insights, enabling us to categorize the countries by their levels of indebtedness and energy independence. The inclusion of energy supply results in a more coherent segmentation of countries, consistent with descriptions in the literature. This classification provides a clearer understanding of the economic and energy dynamics within these nations and helps inform policy decisions aimed at managing debt levels and enhancing energy security.

Authors

Institutions

Publication Details

Journal
˜The œJournal of energy and development.
Published
2024-12-01
DOI
https://doi.org/10.56476/jed.v49i2.29
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy, Debt, and Growth: Time Series Evidence on Causality in OECD European Countries

Mohamed Awada, Moustapha Badran, Joanna Darwiche
˜The œJournal of energy and development.
Energy, Environment, Economic Growth
article

Energy, Debt, and Growth: Time Series Evidence on Causality in OECD European Countries

Mohamed Awada, Moustapha Badran, Joanna Darwiche
article en

Abstract

In this paper, we explore the causal relationships between energy, debt, and growth for a selection of nine OECD European countries. This examination enables us to draw lessons and deduce implications regarding the interconnections between these variables, helping us determine whether they evolve independently, or are mutually related. To conduct this analysis, we utilize annual data and employ econometric techniques, including vector-autoregressive (VAR) models, as well as Granger and Toda-Yamamoto causality tests, applied to specific countries within the group. Our key findings provide significant insights, enabling us to categorize the countries by their levels of indebtedness and energy independence. The inclusion of energy supply results in a more coherent segmentation of countries, consistent with descriptions in the literature. This classification provides a clearer understanding of the economic and energy dynamics within these nations and helps inform policy decisions aimed at managing debt levels and enhancing energy security.

˜The œJournal of energy and development.Vol. 49(2)
Saint Joseph University (LB), Université de Montpellier (FR), Université Grenoble Alpes (FR)
Reduced inequalities
Openalex Percentile: Top 73%
Energy, Environment, Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.