Modeling of energy intensity in Turkey

Akal, Mustafa

doi:10.1080/15567249.2013.802829

Cited by 12 publications

(7 citation statements)

References 9 publications

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“…In contrast, Adom and Kwakwa (2014) concluded that trade openness had worsened energy efficiency in Ghana. Akal (2016) found the same result for the Turkish economy noting that the EI increases as the energy gap or import enlarges.…”

Section: Literature Reviewsupporting

confidence: 52%

“…The primary goal of this study is to measure the importance of EI determinants for the Russian case. We follow the empirical literature on determinants of energy intensity that investigated developed and developing countries (Fisher-Vanden et al, 2004;Hübler and Keller, 2010;Hübler, 2011;Adom and Kwakwa, 2014;Adom, 2015a;Akal, 2016). We extend previous studies by paying special attention to the role of renewable energy sources in determining EI.…”

Section: Introductionmentioning

confidence: 99%

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Determinants of energy intensity in Russia

Rudenko¹,

Raschetova²

2018

IJPP

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In the Soviet Union energy intensity levels remained high. After the Soviet Union breakdown Russia has also been very energy intensive. Although Russia's energy intensity has fallen by nearly 41%, primary energy consumption per capita has increased by 24% since 1998. The current study aims to investigate how different determinants have contributed to the decline in Russia's energy intensity. The cointegration methodology is applied to establish the long-run relationship among the variables influencing energy intensity in Russia. The results show that energy prices and the share of non-carbohydrate energy have significant impact being negatively correlated to changes in energy intensity. A 1% increase in real crude oil price is expected to reduce energy intensity by 0.26% approximately, as well as a 1% increase of the share of alternative energy sources is expected to reduce the energy intensity by 0.86%.

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Section: Literature Reviewsupporting

confidence: 52%

Section: Introductionmentioning

confidence: 99%

Determinants of energy intensity in Russia

Rudenko¹,

Raschetova²

2018

IJPP

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“…Azhgaliyeva et al (2020) argue that major determinants of country-level energy efficiency in the literature include energy prices, real GDP per capita, economic structure and trade openness. The control variables are chosen on the basis of empirical literature (Fisher-Vanden et al , 2004; Hübler and Keller, 2010; Hübler, 2011; Adom and Kwakwa, 2014; Adom, 2015b; Akal, 2016; Rudenko and Raschetova 2018), data availability and the nature of this study. We believe that the chosen variables cover the major indicators of Indonesia's energy sector, as well as the country's openness to new technologies and its financial ability to implement them.…”

Section: Methodsmentioning

confidence: 99%

“…The present study contributes to the existing research literature by examining the determinants of EI for the Indonesian case. We follow the empirical literature on the determinants of EI (Fisher-Vanden et al , 2004; Hübler and Keller, 2010; Hübler, 2011; Adom and Kwakwa, 2014; Adom, 2015b; Akal, 2016; Rudenko and Raschetova 2018). This paper contributes to the existing literature in several ways.…”

Section: Introductionmentioning

confidence: 99%

The determinants of energy intensity in Indonesia

Rudenko

Tanasov²

2020

IJOEM

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PurposeIndonesia is the fourth most populous country in the world, which has a strong effect on primary energy use and depletion of natural resources. This paper considers energy intensity (EI) defined as a measure of the amount of energy it takes to produce a dollar's worth of economic output. The purpose of the paper is to explore how different factors contributed to the decline in Indonesia's EI.Design/methodology/approachThe cointegration regression methodology is applied to explore the long-term nexus between EI and its factors in Indonesia during 1990–2016.FindingsResults show that domestic credit to the private sector, as well as the share of alternative energy, has a significant impact on the decline of EI in Indonesia.Research limitations/implicationsWe do not try to rule out other possible determinants of EI. We consider the determinants of EI using time series data, while an ideal analysis would be based on panel-level data. Another limitation is that the study covers only the small-time period from 1990 to 2016.Practical implicationsOur findings serve to aid the government and policymakers in prioritizing improvements in the sphere of energy policy. An important policy implication, regarding Indonesia, that arises from our study is that, for the country to be able to decrease its EI, it must be able to develop its financial market and zero-carbon energy sources, mainly geothermal energy with its huge potential.Originality/valueWe show that energy prices, financial development and the share of alternative energy sources contribute to EI decrease. Policy recommendations include geothermal and solar energy development as one of the most prospective sources of alternative energy in Indonesia.

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“…Consequently, the use of green energy offers very important opportunities. However, with the use of renewable energy, it becomes very important to use it efficiently (Akal, 2016a;Akal, 2016b;Gurler et al, 2020). Besides, it will be very important to improve the environmental conditions for the transmission, transportation, and storage of energy.…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Renewable Energy Use and Economic Growth for Energy Importing Emerging Economies

NAİMOĞLU

2022

Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi

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The difference of this study from other studies is to investigate the relationship between renewable energy use and economic growth for energy importing countries that increased their renewable energy use by 556.91% (hydro 377.65% and solar etc. 1052.32%), their total GDP by 466.19% and their total energy imports by 388.96% in 2018 compared to 1990. While doing this, it analyzes real GDP, real gross capital, labor force, and renewable energy use for 16 energy importing countries in emerging economies, which have a special place among developing countries, with annual data for the period 1990-2018. Firstly, unit roots tests were used to determine the degree of stationarity of the series. Then, the cointegration relationship was tested with a heterogeneous panel cointegration test and a cointegration relationship was found. The coefficients of all variables were positive and statistically significant. In addition, according to the findings obtained from the error correction models, it has been obtained that there is unidirectional causality from economic growth to renewable energy use in both the short and long run. Therefore, the results show that the interdependent relationship between economic growth and renewable energy use supports the conservation hypothesis.

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Modeling of energy intensity in Turkey

Cited by 12 publications

References 9 publications

Determinants of energy intensity in Russia

Determinants of energy intensity in Russia

The determinants of energy intensity in Indonesia

The Relationship Between Renewable Energy Use and Economic Growth for Energy Importing Emerging Economies

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