Modelling the relationship between energy intensity and GDP for European countries: An historical perspective (1800–2000)

Bartoletto, Silvana; Garofalo, Antonio

doi:10.1016/j.eneco.2018.02.017

Cited by 34 publications

(16 citation statements)

References 45 publications

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“…In the case of India, Eren et al (2019) found a positive impact of growth on REC. Conversely, studies reviewed on energy consumption for Sweden, Holland, Italy and Spain revealed a strong linkage between growth and energy consumption (Agovino et al , 2018; Gales et al , 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

Growth threshold-effect on renewable energy consumption in major oil-producing countries in sub-Saharan Africa: a dynamic panel threshold regression estimation

Abdulqadir

2020

IJESM

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Purpose This study aims to explore the relationship between the growth threshold effect on renewable energy consumption (REC) in the major oil-producing countries in sub-Saharan Africa (SSA) over the period 1990–2018. Design/methodology/approach This article used a dynamic panel threshold regression model introduced by Hansen (1996, 1999 and 2000) threshold (TR) models. The procedure is achieved using 5,000 bootstrapping replications and the grid search to obtain the asymptotic distribution and p-values. For the long-run relationship among our variables, the author followed the process in Pesaran et al. (1999) pooled mean group (PMG) for heterogeneous panels. Furthermore, for the robustness of our empirical results due to the sensitivity of the results to outliers, the author used the approach by Cook (1979) distance measure. The author applied quantile (QR) regression to explore the distribution of dependent variables following Bassett and Koenker (1982) and Koenker and Bassett (1978) approaches. Findings The results from the threshold effect test and threshold regression revealed a significant single threshold effect of growth level on REC. Furthermore, the result from the PMG estimation showed the growth of the variable, energy intensity, consumer prices and CO2 emissions play a significant role in REC in major oil-producing countries in SSA. The growth threshold estimation results indicated one significant threshold value of 1.013% at one period lagged of real growth. The outlier’s sensitivity detention greatly influenced our empirical results. Originality/value The article filled the literature gap by applying a combined measure that is robustness to detect outliers in the data, which none of the studies in the literature addresses hitherto. Further, the article extends the quantile regression to growth – REC literature.

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Section: Literature Reviewmentioning

confidence: 99%

Growth threshold-effect on renewable energy consumption in major oil-producing countries in sub-Saharan Africa: a dynamic panel threshold regression estimation

Abdulqadir

2020

IJESM

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“…Energy intensity has also generated much debate among researchers because the results were different depending on the method used, the horizon of analysis and the sample of countries [32]. They show that either the energy intensity declines with increasing GDP, or the energy intensity increases; in different situations it follows an inverted U-shaped curve [33,34].…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the Research Regarding Energy–Economic Growth Relationship

2021

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The purpose of this study is to analyze the evolution of the scientific research regarding the relationship between energy and economic growth, in order to reveal preferred topics and less approached themes. We conducted an occurrence and cluster analysis, followed by a correspondence analysis using articles published between 1979 and 2019 in journals indexed in the Web of Science. The analysis was split into three periods taking into account the major economic and energetic milestones. The analysis focused on distribution of the topics studied both by years and by journals. The research revealed some major trends: there has been an explosive increase in studies based on Asian countries over the three periods as concerns for sustainable development intensified, and environmental issues were associated with research on the relationship between energy and economic growth. Even if the journals cover different scientific areas, during the last 10 years they contain articles with very similar topics.

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“…They estimate substitution elasticities between energy, labour and capital for German industry. Alptekin et al (2018) find that the Kalman Filter is a better way to estimate a time-varying demand function for natural gas than the rolling window approach by Altinay and Yalta (2016). Doko Tchatoka et al (2018) show that the quantile-on-quantile regression results for oil price shocks and stock returns by Sim and Zhou (2015) do not hold if more countries and more recent years are added to the sample.…”

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confidence: 92%

“…Both Leiva and Liu (2018) and Bruns et al (2018) revisit Stern (1993), showing that the original results by and large hold with newer data, alternative specification and more recent methods. Agovino et al (2018) revisit the four-country, two-century study by Gales et al (2007), showing that the original study could not find an Environmental Kuznets Curve in energy intensity because of inappropriate aggregation. Karakaya et al (2017) investigated a related question, the convergence of per capita carbon dioxide emissions.…”

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confidence: 99%

Special issue on replication

Tol

2019

Energy Economics

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Modelling the relationship between energy intensity and GDP for European countries: An historical perspective (1800–2000)

Cited by 34 publications

References 45 publications

Growth threshold-effect on renewable energy consumption in major oil-producing countries in sub-Saharan Africa: a dynamic panel threshold regression estimation

Growth threshold-effect on renewable energy consumption in major oil-producing countries in sub-Saharan Africa: a dynamic panel threshold regression estimation

Exploring the Research Regarding Energy–Economic Growth Relationship

Special issue on replication

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