Energy consumption and GDP in Turkey: Is there a co‐integration relationship?

Montfort, C.A.G.M. van; Lise, Wietze

doi:10.1016/j.eneco.2006.08.010

Cited by 291 publications

(100 citation statements)

References 23 publications

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“…In the recent literature, we can find cointegration analyses for Jordan (Al-Azzam andHawdon, 1999 andSaed, 2004), Turkey (Lise and Montfort, 2007), Namibia (De Vita et.al, 2006), Iran (Zamani, 2006), China (Wolde-Rufael, 2004, OECD (Al-Rabbaie and Hunt, 2004), Fiji (Narayan and Singh, 2007;Rao and Rao, 2009a & b), Taiwan (Holtedahl and Joutz, 2004) and Malawi (Jumbe, 2004). More details about these studies are summarized in Saed (2004) estimated the long run elasticities of demand for energy in Jordan using the DOLS technique.…”

Section: Overview Of Empirical Studiesmentioning

confidence: 91%

“…Their results suggest that the income and price elasticity of energy demand is 1.15 and -1.14, respectively. Lise and Montfort (2007) present the results of a study into the causality between energy consumption and GDP in Turkey with annual data from 1970-2003. They find that causality runs uni-directionally from GDP to energy consumption.…”

Section: Overview Of Empirical Studiesmentioning

confidence: 99%

“…The long run causal effect is determined by the significance (t-ratio) of the one period lagged error correction term. For more details on Granger causality, see Lise and Montfort (2007). In the short run effects, both the energy consumption and energy prices are insignificant at 5% level in the GDP equation.…”

Section: {Table 4 About Here}mentioning

confidence: 99%

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Cointegration and the demand for energy in Fiji

Kumar

2011

IJGEI

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This paper applies alternative time series techniques such as General to Specific (GETS) and Johansen Maximum Likelihood (JML) to estimate the long run income and price elasticities of demand for energy for Fiji. We also test for the causal relationship between energy consumption, GDP and energy prices using the Granger causality tests. Our results imply that there is a uni-directional causality running from GDP to energy consumption.

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Section: Overview Of Empirical Studiesmentioning

confidence: 91%

Section: Overview Of Empirical Studiesmentioning

confidence: 99%

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Cointegration and the demand for energy in Fiji

Kumar

2011

IJGEI

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“…The multivariate framework includes gross domestic product per capita as proxy for sustainable economic growth [8,18,19,32,40,[45][46][47]49,50,53,55,59,64,[67][68][69]72], renewable energy measures (both overall and by type), and country-level controls, as given in Table 2. …”

Section: Sample Selection and Variable Descriptionmentioning

confidence: 99%

Does Renewable Energy Drive Sustainable Economic Growth? Multivariate Panel Data Evidence for EU-28 Countries

2017

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Abstract:Energy is crucial to economic progress, but the contemporary worldwide population increase that demands greater energy generated from conventional exhaustible resources, an energy price upsurge, and environmental concerns, imperils sustainable economic growth. Nevertheless, switching to renewable energy produced from naturally replenished resources promotes energy security, likewise addressing issues such as global warming and climate change. This paper aims at exploring the influence and causal relation between renewable energy, both overall and by type, and sustainable economic growth of European Union (EU)-28 countries for the period of 2003-2014. We notice that the mean share of renewable energy in the gross final energy consumption is 15%, while the mean share of renewable energy in transport fuel consumption is 3%, which are below the thresholds of 20% and 10%, respectively, as set by the EU Directive 2009/28/EC. By estimating panel data fixed-effects regression models, the results provide support for a positive influence of renewable energy overall, as well as by type, namely biomass, hydropower, geothermal energy, wind power, and solar energy on gross domestic product per capita. However, biomass energy shows the highest influence on economic growth among the rest of renewable energy types. In fact, a 1% increase of the primary production of solid biofuels increases GDP per capita by 0.16%. Besides, cointegrating regressions set on panel fully modified and dynamic ordinary least squares regressions confirm the positive influence related to the primary production of renewable energies on economic growth. A 1% increase in primary production of renewable energies increases GDP per capita by 0.05%-0.06%. However, the results of Granger causality based on panel vector error correction model indicate both in short-run and long-run a unidirectional causal relationship running from sustainable economic growth to the primary production of renewable energies, being supported the conservation hypothesis.

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“…Their empirical exercise reported neutral effect between economic growth and energy consumption. Lise and Montfort [8] probed the relationship between gross domestic product and energy consumption using annual data for the period of . The Granger causality analysis found unidirectional causality running from economic growth to energy consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

Revisiting the environmental Kuznets curve in a global economy

Shahbaz

Öztürk

Afza

et al. 2013

Renewable and Sustainable Energy Reviews

303

103

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Abstract:The present study deals with an empirical investigation between CO 2 emissions, energy intensity, economic growth and globalization using annual data over the period of 1970-2010 for Turkish economy. We applied unit root test and cointegration approach in the presence of structural breaks. The direction of causality between the variables is investigated by applying the VECM Granger causality approach. Our results confirmed the existence of cointegration between the series. The empirical evidence reported that energy intensity, economic growth (globalization) increase (condense) CO 2 emissions. The results also validated the presence of Environmental Kuznets curve (EKC). The causality analysis shows bidirectional causality between economic growth and CO 2 emissions. This implies that economic growth can be boosted at the cost of environment.

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Energy consumption and GDP in Turkey: Is there a co‐integration relationship?

Cited by 291 publications

References 23 publications

Cointegration and the demand for energy in Fiji

Cointegration and the demand for energy in Fiji

Does Renewable Energy Drive Sustainable Economic Growth? Multivariate Panel Data Evidence for EU-28 Countries

Revisiting the environmental Kuznets curve in a global economy

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