درخت حوزه‌های تخصصی

Todays, the issue of environmental instability and destructive environmental behavior can leave many irreparable effects and damage on future ecosystems and the lives of future generations. Method: This study aimed to present an environmental model of sustainable development in the Iranian gas industry. The present study used a qualitative with grounded theory method. In-depth interviews were conducted with 25 academic experts (professors of public administration and environmental engineering at universities in Mazandaran province) and the heads of the National Iranian Gas Company in five regions of Iran using the "rich information" sampling method. Results: The results indicated that the environmental model of sustainable development in the Iranian gas industry had 15 dimensions in terms of causal conditions. 1. Services, 2. Safety and health requirements, 3. Social responsibility, (context condition) 4. Education and learning, 5. Acculturalization, 6. Managers' attitude and awareness (intervening conditions) 7. Contractors, 8. Technical facilities and equipment, 9. Technology and technical operations (Strategy) 10. Medium and long term policies of the Ministry of Energy, 11. Continuous monitoring and evaluation of project progress, 12. Consumption management programs, 13. Pollutants management programs and consequences 14. Improved environmental performance of the gas company and 15. Moving towards sustainable development. Conclusion: Since the gas industry is one of the most polluting industries and the lack of attention to environmental issues in this huge industry will lead the Iranian environment to very serious and perhaps irreparable crises, using the environmental model of sustainable development in this industry seems highly important and necessary.

The present study investigates the impact of financial self-efficacy on personal finance behavior. To this end, the data collected from the questionnaire have been employed. Once the validity and reliability of the questionnaire are confirmed, the relation between financial self-efficacy and the likelihood of holding a specific financial product is studied using the multivariate Probit model. Products are subsequently categorized into two distinct groups based on the type of relationship. Afterward, the relation between financial self-efficacy and the likelihood of holding the number of products in each category is evaluated using the ordered Probit model. In this study, the cluster random sampling method is employed. The results are indicative of a negative and significant relationship between financial self-efficacy and the likelihood of holding bank facilities as well as a positive and significant relationship between financial self-efficacy and the likelihood of holding time deposits, Qarz Al-Hassaneh savings account, insurance, and corporate bonds and stocks. Furthermore, it is inferred that financial self-efficacy has a positive and significant impact on desirable financial behavior and a negative and significant impact on undesirable financial behavior.

As the capital market becomes more competitive, one of the topics that has attracted the attention of many financial researchers in recent years is the liquidity of corporate stocks that because of the dynamics it can create in corporate financing, it is of strategic importance. The purpose of this research is designing a Model of Comprehensive interpretive/structural Mechanism of Effectiveness of Stock Liquidity Tehran Stock Exchange Companies. The one-year study period 2018-2019 in both qualitative analysis and quantitative analysis was conducted with the participation of two members of the panel. In the qualitative analysis section, this research identified through the combination of Delphi and the analysis of three components of the operational mechanism, the structural/governance mechanism, and the investor/mechanism of trading mechanism in the form of the effective statement on stock liquidity. And in the Comprehensive Interpretive / Structural Analysis section, with the participation of four Stock Exchange brokers, members of the panel presented a model based on a spectrum of the most influential statements to the least effective stock liquidity statements. The results show that the Delphi analysis of 25 indicators identified early in the meta-synthesis, 7 Index Remove and 2 indicators have been merged for a total of 16 statements were approved. In the quantitative section, based on a comprehensive interpretive/structural analysis, it was identified that the increase in the number of trading transactions as the component of operational mechanisms was identified as the most influential factor in stock liquidity.