Journal ArticleDOI
Energy consumption and CO2 emissions in Turkey: Empirical analysis and future projection based on an economic growth
Nuriye Say,Muzaffer Yücel +1 more
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In this paper, the authors analyzed the relationship between the TEC and total CO 2 (TCO 2 ) emission in Turkey during the period of 1970-2002 and found that TEC as a function of the targeted economic growth (annual rate of GNP increase) published in the National Development Plan and TCO 2 based on TEC were forecasted up to year 2015.About:
This article is published in Energy Policy.The article was published on 2006-12-01. It has received 201 citations till now. The article focuses on the topics: TEC & Population.read more
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An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey
TL;DR: In this paper, the authors empirically examined the dynamic causal relationships between carbon emissions, energy consumption, income, and foreign trade in the case of Turkey using the time-series data for the period 1960-2005.
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An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey
TL;DR: In this article, the authors examined empirically dynamic causal relationships between carbon emissions, energy consumption, income, and foreign trade in the case of Turkey using the time series data for the period 1960-2005.
Journal ArticleDOI
Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member
TL;DR: In this paper, the authors investigated the long run Granger causality relationship between economic growth, carbon dioxide emissions and energy consumption in Turkey, controlling for gross fixed capital formation and labor.
Journal ArticleDOI
CO2 emissions, energy consumption and economic growth in Turkey
Ilhan Ozturk,Ali Acaravci +1 more
TL;DR: In this article, the authors examined the long run and causal relationship issues between economic growth, carbon emissions, energy consumption and employment ratio in Turkey by using autoregressive distributed lag bounds testing approach of cointegration.
Journal ArticleDOI
Determinants of CO2 emissions in the European Union: The role of renewable and non-renewable energy
Eyup Dogan,Fahri Seker +1 more
TL;DR: In this article, the authors investigated the impacts of renewable and non-renewable energy, real income and trade openness on CO2 emissions in the Environmental Kuznets Curve (EKC) model for the European Union over the period 1980-2012 by employing panel estimation techniques robust to cross-sectional dependence.
References
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Journal ArticleDOI
Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member
TL;DR: In this paper, the authors investigated the long run Granger causality relationship between economic growth, carbon dioxide emissions and energy consumption in Turkey, controlling for gross fixed capital formation and labor.
Journal ArticleDOI
Ant colony optimization approach to estimate energy demand of Turkey
TL;DR: The relative estimation errors of the ACOEDE model are the lowest when they are compared with the Ministry of Energy and Natural Resources (MENR) projection, indicating better-fit solution due to fluctuations of the economic indicators.
Journal ArticleDOI
Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey
Adnan Sözen,Erol Arcaklioğlu +1 more
TL;DR: In this paper, three different models were used in order to train the ANN and the maximum mean absolute percentage error (MAPE) was found to be 2.322732, 1.110525 and 1.122048 for Models 1, 2 and 3, respectively.
Journal ArticleDOI
An econometric study on China’s economy, energy and environment to the year 2030
TL;DR: In this paper, an integrated econometric model consisting of macroeconomic submodel, energy sub-model, and environment submodel was developed and used to perform a long-term simulation study for China.
Journal ArticleDOI
Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies
TL;DR: The main subject in this study is to obtain equations by the artificial neural network approach to predict the GHGs of Turkey using sectoral energy consumption to determine the future level of the GHG and to take measures to control the share of sectors in total emission.