Finansal Ekonometri / Financial econometricshttps://hdl.handle.net/20.500.12619/9962024-03-28T11:40:26Z2024-03-28T11:40:26ZThe energy security of Japan: Causality analysesÖzkan, FilizLeman ErdalAli Osman PektasÖzkan, Ömerhttps://hdl.handle.net/20.500.12619/38922020-03-13T11:52:08Z2016-01-01T00:00:00ZThe energy security of Japan: Causality analyses
Özkan, Filiz; Leman Erdal; Ali Osman Pektas; Özkan, Ömer
Energy is one of the important elements in the production of goods and satisfies the required services. The economy of Japan is basically dependent on imported energy resources for 97% of its total domestic energy consumption per year, the highest percentage of any major industrialized nations. Thus, reducing dependency and import expenditures are always main issues in the energy policy of Japan. In this study, four indices are constructed to measure Energy Supply Security: Dependency Index, Intensity Index, Local Production Index, and Composite Index. This paper investigates the causal relationship between aggregated and disaggregated levels of energy supply security indices and the input parameters that are: petroleum prices, total primary energy supply, energy consumption per capita, share of renewable energy sources, carbon dioxide emissions, human development index, and the mean of democracy indices of energy supplier countries of Japan for the period of 1975-2007.
2016-01-01T00:00:00ZSecurity of energy supply in Japan: a key strategy and solutionsLeman ErdalAli Osman PektasOmer OzkanÖzkan, Filizhttps://hdl.handle.net/20.500.12619/38912020-03-13T12:30:12Z2015-01-01T00:00:00ZSecurity of energy supply in Japan: a key strategy and solutions
Leman Erdal; Ali Osman Pektas; Omer Ozkan; Özkan, Filiz
Energy is essential for goods and services. Japan's economy is dependent on imported energy which is 85% per year, the highest percentage among industrialised nations. The study measures energy supply security (ESS). Four indices; dependency index, intensity index, local production index and composite index are constructed and statistical models are formed out to investigate the significance and the sensitivities between the ESS indexes and the input parameters that are; petroleum prices (PP), gross domestic products (GDP), total primary energy supply (TPES), energy consumption (PCEC), renewable energy (REN), CO2 emissions (CEM), population (P), traffic volume (TV), human development index (HDI) and mean of democracy indexes of energy suppliers (DI). A comprehensive methodology is used with five statistical procedures including simple correlation analysis, multiple linear regression models, stepwise multiple linear regression model, principal component analysis and cluster analysis. Empirical results indicate that PCEC, P and HDI have significant effect on ESS.
2015-01-01T00:00:00ZEnergy Consumption and Economic Growth on the Focus on Nuclear EnergyÖzkan, FilizAli Osman PektasOmer Ozkanhttps://hdl.handle.net/20.500.12619/38932020-01-15T06:42:59Z2017-01-01T00:00:00ZEnergy Consumption and Economic Growth on the Focus on Nuclear Energy
Özkan, Filiz; Ali Osman Pektas; Omer Ozkan
Since the quest for global and personal prosperity, the drive to eradicate poverty and the motivation to ensure sustainability for the world are collectively dependent on a supply of safe, emissions-free power there are many studies in literature focuses on the relationship between economic growth and energy consumption. This study tries to enlarge the dimensions of these researches by using a large dataset. The second aim of this study is to focus on Nuclear energy consumption. According to the empirical results of the study, Energy consumption is found as co-integrated with the GDP in all 55 countries. There exist bidirectional causality between nuclear, renewable energy consumption and the GDP. Additionally, the unidirectional causality extends from economic growth to hydroelectric, petroleum, coal and total energy consumption.
2017-01-01T00:00:00ZEco-efficiency of the world cement industry and innovations: panel causality data analysisÖzkan, FilizÖzkan, Ömerhttps://hdl.handle.net/20.500.12619/38902020-01-15T06:42:58Z2013-01-01T00:00:00ZEco-efficiency of the world cement industry and innovations: panel causality data analysis
Özkan, Filiz; Özkan, Ömer
Since the cement industry emits large amounts of greenhouse gases into the atmosphere, the sector is recently under scrutiny. This study empirically investigates the co-integration and the causality relationships between the carbon dioxide emissions (CO2) and the cement industries for the panel comprised of 109 countries using time series data for the period between 1995 and 2008. For the purpose of co-integration, the error correction model (ECM) and panel causality tests were applied in order to determine the aforementioned relation. Cement production was determined to be co-integrated with CO2 emissions. In the present study, the newly industrialised countries that execute 70% of the world cement production were determined to significantly affect the CO2 emissions, whereas the effect of advanced developed countries on the emissions were strikingly lower, due to the renewal of their production technologies.
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