OPEC
Reihaneh Larijani; Zahra Karimi; SeyedKamal Sadeghi; Reza Ranjpour
Abstract
For estimating the oil price fluctuations effects on banking system and its relationship with macroeconomy, banking system fragility index has been used in this study. Using Kibritçioglu (2003), an index for banking fragility has been calculated. Then, for investigation of interactions between ...
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For estimating the oil price fluctuations effects on banking system and its relationship with macroeconomy, banking system fragility index has been used in this study. Using Kibritçioglu (2003), an index for banking fragility has been calculated. Then, for investigation of interactions between variables, vector autoregressive Markov switching models. Because, different regimes are recognized by taking oil price effects on the economy and banking system into account, Vector autoregressive Markov switching models with three regimes (high, moderate, and low) and one lag has been estimated. Findings show that after oil shock banking fragility index has lowest rate in regime with low risk and in low risk or stable regime, oil price rise makes economic and banking system conditions better. In moderate risk regime, such rise with stable condition economic conditions makes better and low risk regime emerges although it has higher level of banking fragility. In high-risk regime, oil price shocks make economic as well as banking system conditions worse.
rima mohammad moradi; SeyedKamal Sadeghi; mehrdad khanmakou
Abstract
The importance of renewable energy in economic growth, reducing environmental pollution and the role of financial resources on renewable energy projects express the importance of financial development in the development of renewable energy.This study examines the of clean energy, financial development, ...
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The importance of renewable energy in economic growth, reducing environmental pollution and the role of financial resources on renewable energy projects express the importance of financial development in the development of renewable energy.This study examines the of clean energy, financial development, economic growth, and environmental quality in a group of developing countries during 1995-2018.For this purpose, the (GMM) method has been used for model estimation.The results show that increasing clean energy, carbon dioxide emissions and increasing foreign direct investment have boosted economic growth in the countries studied. Also, despite the positive impact of financial development on clean energy consumption, it has not been able to reduce pollution. In order to expand investment in renewable energy, projects related to this sector should have been easier and more accessible to large and basic investors. Proper financial structure can lead to an increase in the volume of investment and at the same time reduce costs. On the other hand, it should be noted that targeting for projects can play a facilitating role and lead to investment maturity. Access to effective and appropriate tools to reduce risk for private sector investment and the use of tools such as guaranteed purchase, standardized portfolio of renewable energy, quota policies and low-cost lending for renewable energy projects will be able to meet the challenges Overcome existing problems and reduce project risks to a great extent
Firouz Fallahi; Mohsen Porebadallahan; SeyedKamal Sadeghi; Tohid Shokri
Abstract
The relationship between the economic growth and the environment quality and degradation is one of the most debated topics among the economists and environmentalists. Economic growth usually requires more consumption of energy, which leads to more environment degradation. Substituting renewable energy ...
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The relationship between the economic growth and the environment quality and degradation is one of the most debated topics among the economists and environmentalists. Economic growth usually requires more consumption of energy, which leads to more environment degradation. Substituting renewable energy sources for fossil fuels would prevent environment degradation; however, it will hinder the economic growth. Therefore, the relationship between the economic growth and environment could go in both directions and previous studies have shown different results. This study uses time-frequency analysis through wavelet transforms to examine this relationship in Iran using the data from the first quarter in 1991 to the last quarter in 2016. This approach allows identifying the change in the relationship between the variables over different time horizons. To that end, we calculate the coherence and energy of the wavelets over different time horizons using Matlab 2018a. The results show that in the short-run (less than a year) and mid-run (between one and four years), economic growth is the cause of environment and an increase in the economic growth would cause environment degradation. The results from the short and medium run show that this relationship was much stronger during the periods 2012-2015 and 2009-2010. However, in the long run, there is no causality between the two variables so environment regulations would not hinder the economic growth.
