مطالب

The stock market, as a symbol of the capital market, is one of the most important sectors of the economy of any country and, unlike the money market, is responsible for the long-term financing of corporate capital. The capital market collects funds from surplus sectors and channels them to institutions that need financing. This study investigates the feasibility of establishing a market for the Kabul Stock Exchange. It is a survey in terms of nature and descriptive method and is applied in relation to the purpose. For the feasibility study of the present study, six platforms were identified using Delphi method. Non-random and purposive sampling was used, and according to Morgan’s table, 180 people were selected from three groups of university professors, experts from the ministries of Finance, Economy, Trade and Industry, the Central Bank and a number of people in Kabul. The validity and reliability of the questionnaire was confirmed by Delphi method and Cronbach’s alpha test. SPSS statistical software was used to analyze the data. From the results of one-sample t-test, it can be seen that all H1’s sub-hypotheses were confirmed in relation to the six platforms, which means that in the current situation, Kabul city is not in a favorable situation in terms of infrastructure and requirements for legal, economic, technical and technological, cultural, social and human capital platforms for the establishment of the stock market, and the conditions for the establishment of Kabul Stock Exchange do not exist. The Friedman test showed that the degree of readiness for the establishment of Kabul Stock Exchange depended on the human capital, economic, legal, cultural, technical and technological or social platforms.

This study was carried out aimed to identify and prioritize the factors affecting the acceptance of electronic services from the perspective of the Iranian citizens. The present study is considered as an applied-developmental research in terms of purpose and qualitative and quantitative research in terms of method. Library studies, interviews, and questionnaires were used to collect data. The questionnaire had face validity and Cronbach's alpha and composite reliability were used to estimate its reliability. The statistical population related to the qualitative study, included professors in the field of e-government and active executive experts working in the Ministry of Communications and Information Technology, the Administrative and Employment Organization, and the Management and Planning Organization are 17 people who were selected using targeted snowball sampling. The statistical population related to the quantitative study, included the Iranian citizens, 384 people were selected from the infinite population according to Morgan's table and were examined according to the infinite statistical population. LISREL software, SPSS and one-sample t-test were used to analyze the data. According to the results, the factor of citizens 'efficiency, perceived usefulness, perceived ease have the greatest impact on the acceptance of electronic services from the citizens' point of view, respectively.

Identification of persistence component of inflation and prediction about future inflation structure is a crucial ingredient of an inflation targeting strategies or other related monetary policies. Monetary policy makers perform this task by extracting the measure known as “core inflation”. This measure is a good indicator for tracking trend of inflation and forecasting future inflation. Measures of core inflation was developed by using wavelet methods in our research. The maximum overlap discrete wavelet transformation (MOWT) and multi resolution analysis (MRA) methods are performed for extracting core inflation in period 1381(1)-1400(3) in Iran by monthly data. Using this methods is relatively new in the literature and are ideally appropriated for this task. The best wavelet in each wavelet families choose in accordance with Shannon entropy and logarithm of energy. On the other hand the properties of wavelet-based core inflation measure was evaluated by some tests. The results reveal that our new measure is more superior to the traditional approaches that used in previous studies in Iran.       

In this paper, trade relationship between Iran and its main trading partners based on Heckscher-Ohlin-Vanek (H-O-V) theory is studied in order to evaluate the development of trade relationship in export factor intensity framework. Considering several production factors such as labor, physical capital, knowledge capital, R&D expenditures, productivity and energy as countries export factor content from 1990 to 2020 is the innovation of the study. Regarding the role of R&D expenditures in trade expansion, it seems there is an allocation gap of this resource between developed and developing countries in order to benefit from the identical distribution, while the empirical findings available in the trade literature implies also unpredictable impact of the R&D expenditure variable on trade flows. Therefore, the analysis of this variable effect on trade flows is not limited to a parametric relationship. Nevertheless, other factors such as labor and capital have distinct and parametric effects on trade relations, so that a semiparametric method has been applied to the model of Iran’s export supply in relation with its trading partners. The empirical results showed that productivity, human capital, and knowledge capital, which are the main trade factor content, have the most impacts on Iran export flows and its trading partners. Additionally, the nonparametric part of the model implies that a higher percentage of R&D expenditures affects significantly Iran’s export flows in a higher rate.

Purpose : The purpose of this study was to provide a model for the development of children's education. Methodology : The research method was mixed (qualitative-quantitative). The statistical population in this study was all experts in the field of educational management and curriculum planning and training of working children. After the 11th interview, theoretical saturation took place. Validity was obtained through 4 experts and by two colleagues and reliability of the Copa formula (0.632). In order to conduct this research, in addition to documentary study, the content analysis technique with MAXQDA12 software was used to identify the dimensions, components and indicators of the development of working children education, and in the quantitative data analysis section, the structural equation technique was used. Findings : As a result of qualitative analysis, 3 dimensions, 8 components and 43 indicators were identified. The dimensions of health-individual education, socio-cultural education and education of knowledge and academic and professional skills were identified as the main dimensions of the development of education of working children. Finally, all indicators were approved using structural equation technique and education of knowledge and academic skills. And vocational education with a coefficient of 0.858, health-individual education with a coefficient of 0.701 and socio-cultural education with a coefficient of 0.605 showed the most impact and importance in the model, respectively. The validity of the model was measured by 5 dimensions (philosophy and purpose with an average of 4.8, theoretical foundations with an average of 4.9, executive principles with an average of 4.70, evaluation system with an average of 4.8 and executive mechanism with an average of 4.8) that all dimensions were approved. . Conclusion : Finally, a model with 5 dimensions (philosophy and purpose with an average of 4.8, theoretical foundations with an average of 4.9, executive principles with an average of 4.7, evaluation system with an average of 4.81 and executive mechanism with an average of 4.80) was designed and validated

Purpose : The aim of this study was to design and validate the model of effective skills training in scientific-applied centers. Methodology : The method of the present study was applied based on the purpose and mixed type based on the nature of the data. The statistical population in the qualitative part of the research included all experts in the field of effective skills training, and 30 experts were selected using targeted snowball sampling method. The second group of the statistical population of this study in the quantitative part included all the official teachers of applied science centers in Mazandaran province in the number of 3,000 people who were selected by random sampling and snowball method of 608 people as the sample size. In the qualitative part of the present study, semi-in-depth interviews were used and in the quantitative part, a researcher-made questionnaire was used. The validity and reliability of both instruments were evaluated and confirmed. The method of data analysis in the qualitative part of the theoretical coding was taken from the method of data theory of the foundation and in the quantitative part, confirmatory factor analysis was used to validate the model and determine the relationship between the identified factors. Findings : The results showed that in a total of 6 dimensions of career goals, instructor, environment, student, content and management, 28 components and 252 indicators of the dimensions of the skill training model are effective. Conclusion : Based on the obtained coefficients, it can be said that all indicators have an important and significant role in measuring the dimensions and components of the model of effective skills training system for scientific-applied centers of Mazandaran province