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| 1 |
ID:
149960
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| Summary/Abstract |
Energy crops production is considered as environmentally benign and socially acceptable, offering ecological benefits over fossil fuels through their contribution to the reduction of greenhouse gases and acidifying emissions. Energy crops are subjected to persistent policy support by the EU, despite their limited or even marginally negative impact on the greenhouse effect. The present study endeavors to optimize the agricultural income generated by energy crops in a remote and disadvantageous region, with the assistance of linear programming. The optimization concerns the income created from soybean, sunflower (proxy for energy crop), and corn. Different policy scenarios imposed restrictions on the value of the subsidies as a proxy for EU policy tools, the value of inputs (costs of capital and labor) and different irrigation conditions. The results indicate that the area and the imports per energy crop remain unchanged, independently of the policy scenario enacted. Furthermore, corn cultivation contributes the most to iFncome maximization, whereas the implemented CAP policy plays an incremental role in uptaking an energy crop. A key implication is that alternative forms of motivation should be provided to the farmers beyond the financial ones in order the extensive use of energy crops to be achieved.
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| 2 |
ID:
090089
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2009.
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| Summary/Abstract |
Throughout history, energy resources have acquired a strategic significance for the economic growth and social welfare of any country. The large-scale oil crisis of 1973 coupled with various environmental protection issues, have led many countries to look for new, alternative energy sources. Biomass and fuelwood in particular, constitutes a major renewable energy source (RES) that can make a significant contribution, as a substitute for oil. This paper initially provides a description of the contribution of renewable energy sources to the production of electricity, and also examines the role of forests in the production of fuelwood in Greece. Following this, autoregressive integrated moving average (ARIMA) models, artificial neural networks (ANN) and a hybrid model are used to predict the future selling prices of the fuelwood (from broadleaved and coniferous species) produced by Greek state forest farms. The use of the ARIMA-ANN hybrid model provided the optimum prediction results, thus enabling decision-makers to proceed with a more rational planning for the production and fuelwood market.
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| 3 |
ID:
132626
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2014.
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| Summary/Abstract |
The present decade is considered to be vitally important both as regards addressing energy requirements and for environmental protection purposes. The decisions taken, both on an individual and a collective level, will have a decisive impact on the environment, and primarily on climate change, due to the increased energy demands and the need to reduce carbon use in energy generation.
The present study was designed and carried out while an extensive debate was ongoing in Greece regarding changes to the legislative framework that would specifically disallow new applications for the installation of photovoltaic systems; its aim is to depict the attitude of Greek citizens, through the completion of 1068 questionnaires. The research results show that over half the respondents are informed about the use of photovoltaic systems for electricity generation. Furthermore, almost half are willing to invest in such systems, either at home or on a plot of land. The factors contributing to the installation of photovoltaic systems are mainly "environmental", "financial" and "social". Finally, the citizens who are most willing to invest in residential photovoltaic systems are mainly university or technical school graduates; they would rather take such a decision after being motivated by institutional bodies and would do so for reasons of recognition.
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