درخت حوزه‌های تخصصی

 The importance of community's health followed by the consideration of endogenous growth models has led to an increase in health expenditure of countries to speed up economic growth and development. This has made the efficiency of health production function to an essential issue especially in developing countries. Based upon this, the present study with employing the stochastic frontier analysis method looks for identifying the main determinants such as economic ( children immunization and age dependency ratio ) , environmental ( the rule of law ) and social ( globalization ) conditions on technical inefficiency of health production function between member countries of Organization of the Islamic Conference (OIC) in the period of 1998-2007. The empirical results show increasing the efficiency of health production through improvement in economic and environmental condition. But the increase in socialization globalization such as social factor has led to a decrease in technical efficiency that may be due to the lack of appropriate culture of using new technologies and modern social relations affected by the process of globalization in such countries.       JEL Classification: C12 C23 I12 I19    

This study aimed to develop Oil approaches affected by effective factors for the success of economy-based entrepreneurship in the Oil Industry. In other words, efforts were made to identify and prioritize the factors affecting the development of Oil approaches under the impact of effective factors for the success of economy-based entrepreneurship in the Oil Industry. A review of the previous studies in this field revealed that the factors affecting the development of Oil approaches affected by factors involved in the success of economy-based entrepreneurship in the Oil Industry were institutional, organizational, environmental, economic, technological and opportunity recognition criteria. The present research was applied in terms of goal and survey, cross-sectional regarding data collection method and time frame. The statistical population consisted of experts in the country’s oil industry system. In total, 16 individuals were selected from the central bank managers by purpose sampling. Data were collected using an expert questionnaire, and the fuzzy Delphi method was applied to ensure the validity of the identified indicators. In addition, the reliability of paired comparisons was assessed by calculating the incompatibility rates via the Gogus and Butcher method. In this regard, reliability was acceptable in all cases of less than 0.1. The ranking of key criteria showed that economic factors had of the highest importance, followed by institutional, environmental, organizational, opportunity recognition process, and technological factors.

Though it is generally accepted that information asymmetry has an impact on capital structure policy, the nature of the information asymmetry is not well understood. Recent theoretical works and empirical evidences suggest that financing choice depends upon the information asymmetry about investment risk of the particular use of funds (Halov & Heider, 2012) (Rao, Mohanty, & Baxamusa, 2015). Consistent with this view, we analyzed the data gathered among 199 companies listed in Tehran Stock Exchange during 2009-2016 by The Multiple Linear Regressions in order to test research’s hypotheses have been applied. We also examined the influence of Petrochemical industry on that relationship. The findings show that equity is used to fund projects with greater information asymmetry about their risk such as intangible assets and capital expenditure, while debt is used to fund investments with lower information asymmetry about their risk such as liquidity enhancement. We also found that the membership in petrochemical industry has no effect on the intangible assets and cash holding’s financing method, but concerning with capital expenditure and working capital the impact is significantly negative.

This study was designed to explain the Blockchain acceptance indices in Iran's financial markets aimed at identifying different angles for the implementation of Blockchains. The Blockchain acceptance indices were extracted in 4 levels, 12 variables, and 53 indices of related research literature in the field of e-commerce and mobile banking. To validate the research indicators, the Fuzzy Delphi technique was used to refine the indices in addition to the documentary study. The survey was conducted in three stages and the results of each stage were refined. Based on data analysis, 39 indicators were confirmed. The results of this study can provide useful insights for researchers and policymakers of Iran’s financial markets to understand the prerequisites and effects of the Blockchain implementation on financial markets, and thereby, they would be able to change business models to take advantage of Blockchain capabilities in the infrastructure of Iran’s financial markets by considering different aspects.