M. Özgür Kayalica
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The role of foreign direct investment and trade on carbon emissions in Turkey
Gizem Kaya , M. Özgür Kayalica , Merve Kumaş , Burc Ulengin doi: http://dx.doi.org/10.21511/ee.08(1).2017.01Environmental Economics Volume 8, 2017 Issue #1 pp. 8-17
Views: 2020 Downloads: 999 TO CITE АНОТАЦІЯThis study aims to observe the long run and short run effects of gross domestic product, foreign direct investment inflows and trade on CO2 emissions and causality relationships between these factors, using annual data for the period of 1974-2010. The empirical results demonstrate that the inverted U-shaped relationship of environmental Kuznets curve is valid for Turkey. In addition, there are positive long run effects of foreign direct investment and trade openness on CO2 emissions. The authors also find a bidirectional causality relationship between CO2 emission and FDI.
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Day-ahead power market behavior for a small supplier: case of Turkish market
Environmental Economics Volume 9, 2018 Issue #2 pp. 70-79
Views: 1526 Downloads: 162 TO CITE АНОТАЦІЯThe day-ahead power market has become more complex with the allowance of block purchases from private sales companies. Resource handling has become the prominent problem for both energy suppliers and energy distributers. Complexity of the problem forces the approach by each role player in the market. This research handles the market position of a small hydropower plant owner who has negligible effect on market price construction in a complex competition environment. Based on an optimum schedule of three days, this model proposes policies for the power generator to maximize its profits. An MILP model, which uses the day-ahead market price forecasts from a hybrid SARIMA-ANN price forecasting model, is designed to optimize the day-ahead generation schedule. The case application in Turkish power market shows the increase of profit with a reliable generation schedule.
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A review on household energy consumption behavior: how about migrated consumers?
Environmental Economics Volume 9, 2018 Issue #4 pp. 8-21
Views: 2449 Downloads: 826 TO CITE АНОТАЦІЯThis paper reviews the literature on energy consumption behavior for both domestic and migrated/displaced population and aims to recommend crucial policy measures for creating awareness on the energy efficiency. Consumers’ adoption to the efficient usage of energy varies depending on demographic, behavioral and situational dynamics in their households and societies. The regional or national strategies to implement efficient technologies for the consumer engagement are crucial to change their behaviors. Migrants affect the energy usage patterns in the host country due to their different usage behaviors. Any type of measures for migrated population should include available, acceptable, accessible and affordable energy efficiency applications to engage them with the domestic population.
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Intra-industry trade with pollution concerned cooperation
The authors develop a two-country, two-firm intra-industry trade model. Each firm is operating at its home country and producing homogeneous goods to be consumed in both countries. Governments apply quantity restriction on pollution. Every individual country is affected from the pollution generated during the production process of its own firm. The model shows that efficiency in pollution abatement technology plays a crucial role on welfare maximizing effort of governments. A critical level of pollution abatement technology determines the preponderance of environmental misgivings in welfare maximizing behavior. The more efficient the firms in pollution abatement technology, the less stricter the governments will be in their policies to reduce negative environmental externalities
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CO2 emissions analysis for East European countries: the role of underlying emission trend
Denizhan Guven , M. Özgür Kayalica , Gülgün Kayakutlu doi: http://dx.doi.org/10.21511/ee.11(1).2020.07Environmental Economics Volume 11, 2020 Issue #1 pp. 67-81
Views: 711 Downloads: 192 TO CITE АНОТАЦІЯThis paper aims to analyze the impact of energy consumption, economic structure, and manufacturing output on the CO2 emissions of East European countries by applying the Structural Time Series Model (STSM). Several explanatory factors are used to construct the model using annual data of the 1990–2017 period. The factors are: total primary energy supply, GDP per capita and manufacturing value added, and, finally, a stochastic Underlying Emission Trend (UET). The significant effects of all variables on CO2 emissions are detected. Based on the estimated functions, CO2 emissions of Belarus, Ukraine, Romania, Russia, Serbia, and Hungary will decrease, by 2027, to 53.2 Mt, 103.2 Mt, 36.1 Mt, 1528.2 Mt, 36 Mt, and 36.1 Mt, respectively. Distinct from other countries, CO2 emissions of Poland will extend to 312.2 Mt in 2027 due to the very high share of fossil-based supply (i.e., coal and oil) in Poland. The results also indicate that the most forceful factor in CO2 emissions is the total primary energy supply. Furthermore, for Poland, Romania, Hungary, and Belarus, the long-term impact of economic growth on CO2 emissions is negative, while it is positive for Russia, Ukraine, and Serbia. The highest long-term manufacturing value-added elasticity of CO2 emissions is calculated for Serbia and Belarus.
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