Research Paper
mastaneh Gamshidi; Farshad Momeni
Abstract
Oil and gas are exhaustible resources and maximizing national benefits in exploiting these resources is very important. In this regard and according to the general policies of the resistance economy of Iran, which emphasizes the endogenous and externally oriented economy, the purpose of internationalization ...
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Oil and gas are exhaustible resources and maximizing national benefits in exploiting these resources is very important. In this regard and according to the general policies of the resistance economy of Iran, which emphasizes the endogenous and externally oriented economy, the purpose of internationalization of the National Iranian Oil Company (NIOC) has been followed in this paper, which makes it an inclusive institution, optimal allocation of oil dollars also maximizes the intergeneration benefits. This purpose was followed by a historical and social analysis and historical review of rules and contracts of Iran’s oil upstream. by Williamson’s four-level theory, Ostrom's institutional framework and North’s social orders. The participants and institutional environment of the Iran oil upstream were analyzed. Internationalization has never been in the description of the duties of the NIOC, . In order to succeed in the internationalization of the NIOC, it should be focused on the aspect of techno - ware of the Iran's oil upstream, as well as the need for the convergence and support of the government with this purpose and governance reform of Iran oil upstream according to the current conditions of the country's reservoirs and the ability to carry out successful oil operations inside and outside the borders of the country. The first step to build an inclusive institution in the upstream sector of Iranian oil is to convince the extractive institutions benefiting from oil rents that such institutional changes will not reduce their benefits from rents.
Research Paper
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Seyyed Mohammad Ghaem Zabihi; Fatemeh Akbari; Narges Salehnia
Abstract
The current research seeks to investigate the effects of fintech and the quality of governance on the transition of green energy in the Group of 7 (G7) countries in the annual period from 2000 to 2021, with the help of panel quantile regression. The experimental results confirm that the fintech index ...
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The current research seeks to investigate the effects of fintech and the quality of governance on the transition of green energy in the Group of 7 (G7) countries in the annual period from 2000 to 2021, with the help of panel quantile regression. The experimental results confirm that the fintech index (FIN) positively and significantly affects the logarithm of transition to green energy in all deciles. Also, the quality of governance (GOV) in all deciles positively affects the logarithm of the transition to green energy, and the first, eighth, and ninth deciles have statistical significance. The logarithm of urbanization (LURB) negatively and significantly affects the logarithm of transition to green energy in all deciles. The logarithm of foreign direct investment (LFDI) up to the fifth decile has a negative effect on the logarithm of transition to green energy, and only the first and second deciles have statistical significance. The logarithm of gross domestic product per capita (LGDP) in all deciles has a positive effect on the logarithm of transition to green energy, and except for the sixth, eighth, and ninth deciles, the rest have statistical significance. Also, the variables of urbanization, foreign direct investment, and GDP per capita (through increasing demand for fintech services due to the increase in the population of cities and economic growth and helping to develop fintech infrastructure by attracting foreign investment) have a positive relationship with fintech indicators and the quality of governance.
Research Paper
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Mohamad Reza Salmani Bishak; pegah gorbanpour
Abstract
Renewable energy is a crucial alternative energy source in terms of sustainable growth and climate change. This paper analyzes the causal relationship between renewable energy consumption and economic growth in 26 developing countries over the period 1990–2020. The study employs the bootstrap panel ...
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Renewable energy is a crucial alternative energy source in terms of sustainable growth and climate change. This paper analyzes the causal relationship between renewable energy consumption and economic growth in 26 developing countries over the period 1990–2020. The study employs the bootstrap panel causality test developed by Konya (2006) to account for cross-sectional dependence. Konya’s (2006) method is based on seemingly unrelated regressions (SUR) and Wald tests with country-specific bootstrap critical values.The results indicate that the causal relationship between renewable energy consumption and economic growth varies across the examined countries, manifesting both symmetric and asymmetric patterns depending on each country's specific conditions. In some countries, evidence of bidirectional causality between these two variables was observed, while in others, a unidirectional causal relationship was confirmed, either from renewable energy consumption to economic growth or vice versa. Moreover, the findings reveal that relying on aggregated data could alter the conclusions, highlighting the necessity of conducting causality analysis at the country level. These findings emphasize the impact of renewable energy policies on the economic growth of developing countries and provide valuable insights for policymakers in formulating sustainable energy strategies.
Research Paper
مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
masoud fazlalipoour; parviz nasiri
Abstract
It is of particular importance to examine statistical models for fitting time series data and provide a suitable model and predict important elements in macroeconomic and financial planning. One of these time series models that is widely used in the analysis of economic, meteorological, geographical ...
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It is of particular importance to examine statistical models for fitting time series data and provide a suitable model and predict important elements in macroeconomic and financial planning. One of these time series models that is widely used in the analysis of economic, meteorological, geographical and financial data is the ARFIMA model. In this model and other time series models, the parameters of the model are estimated by assuming that the error term has a normal distribution. In this article, while examining the behavior of the ARFIMA model, the Bayesian estimation of the fractional difference parameter is estimated by considering the appropriate prior distribution for it. Then, using oil export data, the deficit difference parameter of the ARFIMA model is estimated by considering the appropriate prior distribution. Finally, the goodness of fit of the ARFIMA model is compared with the models that are introduced through the RMSE criteria and it is shown that the model estimated by the Bayesian method has a better performance.
Research Paper
مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
davood ghobadi; bita tabrizian; Saber Khandan Alamdari
Abstract
This research aimed to design a conceptual model for enhancing innovation capacity in EPC companies, based on Strauss and Corbin’s (1989) method. The study was conducted using a qualitative approach and grounded theory. Through purposeful sampling and semi-structured interviews, theoretical saturation ...
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This research aimed to design a conceptual model for enhancing innovation capacity in EPC companies, based on Strauss and Corbin’s (1989) method. The study was conducted using a qualitative approach and grounded theory. Through purposeful sampling and semi-structured interviews, theoretical saturation was achieved after the 17th interview. The statistical population of this research included managers active in the field of innovation in EPC companies. To ensure the quality of the results, three criteria—credibility, confirmability, and reliability—were used, and the findings were presented to experts for validation and were approved. The research findings indicate that innovation capacity can be divided into six categories: incremental innovation, radical innovation, market innovation, process innovation, technological innovation, and business innovation. By viewing each of these capabilities as opportunities, and with appropriate planning and solutions, the foundation for enhancing innovation capacity can be established
Research Paper
مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
mirhossain mousavi; niloofar nori
Abstract
Energy is one of the most essential and vital goods in the household consumption basket. Access to energy for meeting basic needs is a fundamental right of every consumer. However, due to the occurrence of the energy imbalance phenomenon in Iran's economy, this access has become limited in recent years. ...
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Energy is one of the most essential and vital goods in the household consumption basket. Access to energy for meeting basic needs is a fundamental right of every consumer. However, due to the occurrence of the energy imbalance phenomenon in Iran's economy, this access has become limited in recent years. In light of this issue, the aim of this paper is to determine the minimum subsistence level of energy consumption for Iranian households. To achieve this, data on household income and expenditure from 1991 to 2022 were used, categorized into five groups: food, clothing, housing, energy, and others. The Linear Expenditure System (LES) and seemingly unrelated regressions (SUR) method were employed to estimate the expenditure function and determine the necessary costs for meeting the minimum subsistence level. The results reveal that the highest marginal propensity to non-subsistence expenditure belongs to the food group, accounting for approximately 40%, while the lowest marginal propensity is observed in the energy group, at about 6%. In the energy category, the average expenditure required to meet the minimum subsistence level increased from 176,000 IRR in 1991 to 87,472,600 IRR in 2022. In other words, the expenditure required for energy to meet minimum subsistence needs grew approximately 497-fold during this period.
