Showing 306 results for Type of Study: Applicable
Ali Siami, Alireza Erfani, Seyad Mohammad Mostolizadeh,
Volume 14, Issue 51 (5-2023)
Abstract
The aim of this paper is to examine the impact of parametric reforms on the financial sustainability of the Social Security Organization, the largest social insurance organization in the country. To this end, an overlapping generations general equilibrium model is employed. The issue is analyzed through four different scenarios. The results show that in the first scenario, increasing life expectancy by 3 years without changing the retirement age will increase the ratio of expenditures to resources of the Social Security Organization by approximately 2%. In the second scenario, increasing the retirement age by 2 years and reducing life expectancy by 1 year will decrease the ratio of expenditures to resources by about 0.8%. In this case, the share of retirees' consumption in production and the labor force participation rate will decrease by 5% and 3%, respectively. In the third scenario, raising insurance premiums by 2% will not cause significant changes in the ratio of expenditures to resources due to a reduction in labor supply. Finally, in the fourth scenario, increasing both the retirement age and life expectancy by 2 and 3 years, respectively, will raise the ratio of expenditures to resources of the Social Security Organization by approximately 2.4%.
Maryam Hajipour Apourvari, Mehdi Nejati, Mojtaba Bahmani, Sayyed Abdolmajid Jalaee,
Volume 14, Issue 51 (5-2023)
Abstract
The increase in greenhouse gas emissions is one of the crises in today's world. Because it doubles global warming and environmental pollution. The increase in greenhouse gas emissions has encouraged many countries to substitute renewable energy instead of fossil fuel. The effective use of green energy such as renewable energy and nuclear energy is highly dependent on the technology used in the production of this type of energy. For this reason, the aim of this study is to investigate the impact of importing information and communication technology goods on renewable energy production in Iran. In this research, has been used the Computable general equilibrium model based on the social accounting matrix of 2014. The results show that in all scenarios, the production of fossil electricity in both peak and base times, as well as the production of ICT goods, will decrease because with the release of the import of these goods, foreign ICT goods will replace domestic ones and the production of these goods will be domestic. Also, the production of other sectors has increased and the largest increase is related to the gas sector. By applying the first scenario (10 to 100% change in tariff, without change in the productivity of production factors related to the production of renewable energies), with the further reduction of the tariff, the production of renewable electricity will also decrease in both peak and base times, but when The fact that the import of ICT goods is accompanied by a 3, 5 and 7 percent increase in the productivity of the production factors related to the production of renewable energies (scenarios two to four) will increase the production of renewable electricity in the base load. The production of renewable electricity at peak load has decreased in all scenarios and the results do not change with the increase in efficiency. By reducing the tariff on the import of ICT goods, the amount of CO2 emissions will decrease. Also, as the productivity of the production factors related to the sector of renewable energy production increases, CO2 decreases to a greater extent. It should be noted that with the reduction of the tariff on the import of ICT goods, the price of the goods has decreased in the investigated sectors. As a result, reduce the pollution caused by the consumption of fossil fuels and use them optimally.
Alireza Moradi, Mehdi Mohammadi,
Volume 14, Issue 52 (9-2023)
Abstract
The main goal of this research is the impact of the wage gap between managers and workers on stock returns: the mediating role of investors' supervision. In terms of categorizing the research according to the method of data collection, the current research is of the causal and post-event type. The research method is correlation. In this research, library methods were used to collect information. Library methods have been used to collect information on the theoretical foundations and literature of the topic, library resources, articles and required books have been used, and Kodal website and Rahavard Novin software have also been used to obtain statistical information. In this chapter, using data collected from a statistical sample of 76 companies admitted to the Tehran Stock Exchange in the period of 2015-2022. Hypotheses were tested using Pearson's correlation test and Limer's F test in the Eviews13 software environment. The results of the regression test showed that the wage gap between managers and workers with the mediating role of investors' supervision has a significant effect on stock returns.
, Abbas Khandan,
Volume 14, Issue 52 (9-2023)
Abstract
Purpose: The aim of this study is to identify and classify insurance customers in order to identify the target population for increasing the profitability of insurance companies, achieving a balance in premium payments, and examining the health questionnaire as an indicator of policyholders' preferences. Moreover, designing a marketing strategy to optimize advertising efficiency.
Method: In this paper, five machine learning algorithms, namely Decision Tree, Random Forest, Support Vector Machine, Naive Bayes, and Logistic Regression, are used to classify customers into two categories: profit-generating and loss-generating. Data from a private insurance company is utilized, consisting of 2,897 observations collected from December 1400 to December 1401.
Findings: By utilizing machine learning methods and focusing on the target population, the chances of success can be increased. The presence of a small number of individuals who significantly reduce the profitability of insurance companies is evident. The pre-existing medical conditions of individuals have a considerable impact on their insurance usage and the damage caused to insurance companies.
Conclusion: Machine-learning methods can provide a comprehensive understanding of insurance customers and their needs. By identifying the target population, insurance companies can increase their profitability and satisfy their customers by addressing their specific demands
Mr Nader Hashemnezhad, Dr Sajjad Barkhordari, Dr Ghahreman Abdoli,
Volume 14, Issue 52 (9-2023)
Abstract
Bitcoin is the leader of cryptocurrencies and has the largest market value as a digital asset in most international investment portfolios. However, compared to traditional assets, the nature of this cryptocurrency is not clear from a behavioral perspective. Examining this by following the behavior of the distribution tail or limit behaviors is one of the methods that can help researchers about the nature of this cryptocurrency, because this corresponds to the investigation of limit behaviors and in critical times of this currency. In this regard, this research has used quantile regression to estimate CAViaR models. In addition, to study the effect of each variable on the Bitcoin trend, the GARCH approach has also been used.
The results of this research for the daily period from 2018 June 26 to 2022 May 11, Wednesday, showed that by analyzing the 5% percentile quantile regression, examining the behavior of the right tail of Bitcoin distribution, the behavioral similarity of this currency with all the investigated assets is confirmed. This shows that in a situation where the returns of traditional financial markets are positive and the markets are rising, the behavior of cryptocurrencies aligns with the general behavior of the markets. However, examining the behavior of the left tail of the distribution of the variables shows that Bitcoin has no similarity in behavior with the rest of the traditional assets. In other words, when markets are bearish, Bitcoin's behavior is not aligned with traditional markets. However, the return of the homogenous index does not affect the trend of Bitcoin, which was predictable due to the non-compliance of domestic financial markets with international markets due to Iran's economic isolation and international sanctions. Therefore, until the period investigated by this study, Bitcoin has shown a behavior other than known assets and investing in it is still facing the risk of capital burnout, so it is recommended that investors observe risk management in the arrangement of their portfolios.
Hayedeh Nourozi, Rouhollah Shahnazi, Ebrahim Hadian, Zakaria Farajzadeh,
Volume 14, Issue 52 (9-2023)
Abstract
Economy and environment are two interdependent systems; In recent decades, the global environment, as the most important global public good, has been heavily influenced by the negative external effects of economic growth, including climate change. In order to internalize these external effects, the use of tracking tax is a recommended method. One of the most important models designed for the integrated study of economy and climate is the Nordhaus RICE model; Of course, with the limitation that in this economic growth model, it is included exogenously. In this study, the aim of endogenizing the economic growth of the RICE model and determining the tax rate in 6 scenarios including 1) the base scenario 2) the optimal emission control rate application scenario 3) the 2°C temperature limit scenario 4) the discounted Stern scenario 5) the calibrated Stern scenario and 6) Copenhagen scenario. The results show that in the endogenous growth model, the ratio of taxes to net domestic production and CO2 emissions should increase over time. In all scenarios of Iran's endogenous growth model (except the base scenario), tax increases between 2022 and 2122 will reduce industrial CO2 emissions and reduce atmospheric carbon concentration. Finally, by applying the specified optimal tax in all scenarios, temperature changes have increased by less than two degrees Celsius.
