• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Mohammad Sadegh Adibian; Ali Emami Meibodi; hadi esmaeilpour moghadam
Abstract
Corruption and political risk are important factors affecting the economies that can affect various aspects of people's lives. On the other hand, one of the important economic indicators that shows the intensity of energy consumption, and in other words, the amount of energy consumption in each country, ...
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Corruption and political risk are important factors affecting the economies that can affect various aspects of people's lives. On the other hand, one of the important economic indicators that shows the intensity of energy consumption, and in other words, the amount of energy consumption in each country, is the energy intensity. Energy intensity is a crucial indicator by which we can understand the trend of changing energy efficiency in different years. Given the importance of this issue, the present study examines the effect of corruption and political risk along with other factors on the energy intensity of selected countries in the Mena region, including Iran, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Qatar, Saudi Arabia, and UAE using by a panel data model for 2003 to 2019. The results show that corruption, political risk, and factors such as good governance, foreign investment, and human development are important. Therefore, improving education and awareness by reducing corruption and political risk can lead to better implementation of energy efficiency programs.
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Batoul Zargar; Ali Emami Meibodi; Hosein Jahangirnia; Mozhgan Safa
Abstract
It is necessary to develop the photovoltaic industry due to the criticality of reducing economic dependence on fossil fuels and mitigating air pollution. Therefore, the present study aims to propose a financing model for this industry in Iran. This is an applied-developmental study, in terms of purpose. ...
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It is necessary to develop the photovoltaic industry due to the criticality of reducing economic dependence on fossil fuels and mitigating air pollution. Therefore, the present study aims to propose a financing model for this industry in Iran. This is an applied-developmental study, in terms of purpose. It is developmental because it provides a framework for financing the industry. On the other hand, it is of an applied nature, as its results find direct application in developing this industry. The modeling draws on a mixed-method approach combining the qualitative methodology of grounded theory and the quantitative method of artificial neural networks. The study's population comprises the financial, economic, and technical experts of the photovoltaic industry. Semi-structured interviews took place with 25 experts chosen through targeted sampling, combining maximum variation with snowball sampling methods. The findings indicate that the investment funds (one of the primary strategies of community financing), bank loans (one of the private financing strategies), power purchase agreements (a government incentive), public funding by modifying the fossil power tariffs, along with guarantees and insurances are among the strategic priorities for financing this industry. In sum, the financing model of the photovoltaic industry demonstrates that based on the current context in Iran, it is possible to create a profitability perspective and a supportive atmosphere for the photovoltaic industry by adopting diverse strategies.
