درخت حوزه‌های تخصصی

China has become the world’s high-growth and second largest economy since its socialist- orientation opening-up reforms in the early 1980s. Due also to its geographical, cultural and historical attractions, the country has become the world’s fourth largest tourism destination and tenth largest tourism earner in 2018 according to the World Tourist Organization. The important role played by tourism in the Chinese economy has been officially recognized by China’s National Development and Reform Commission as a strategic pillar industry development priority. In spite of these, rigorous policy-related studies on China’s tourism have been limited. The paper is a serious econometric study to investigate the determination of China’s tourism and its contribution to the country during the period 1996-2018 for credible data-based policy analysis.  Significantly, the study is carried out appropriately from an economic integration (globalization) growth framework, which is also the expenditure (as opposed to production or income) perspective of the United Nations System of National Accounts 1998/2003. Specifically, a multi-simultaneous equation model of endogenous growth and China’s tourism determination is developed. The model innovatively incorporates gravity theory and classical consumer demand contributors, Ironmonger-Lancaster new commodity attributes and Johansen policy impact add- and sub-factors (i.e., reforms and crises) explicitly in its economic integration structure. The model is then estimated by system methods with official economic and tourism 1996-2018 data from the World Tourism Organization and international databases. The research will contribute to advances in the literature and the findings provide useful insights and appropriate and much needed evidence-based inputs on the determination and contributors of tourism to China’s growth. Recommendations will be provided to key stake-holders such as tourism policy-makers, academic researchers, business analysts and tourism operators for national strategic policy analysis and practical implementation. JEL Classification: C54, F15, F62, Z32, Z38

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 the Iranian economy, the oil sector has a significant position; So that changes in oil price affect various economic sectors and markets, including the stock market. The stock market is one of the principal financial markets that can potentially attract the country's uncontrolled savings and liquidity in the form of an efficient channel and improve economic growth and development by turning it into investment. Therefore, it is essential to examine the relationship between oil price and Iran's stock market returns. Given the importance of the issue, the purpose of this paper is to investigate the co-movement between OPEC oil price and returns of the Tehran Stock Exchange market. To analyze the relationship between two variables, applied the wavelet coherence approach and utilized daily data during the period of 2009-2021. Findings show there is a positive correlation between oil prices and stock market returns. Comparison of the data in annual time-frequency scale indicated that the oil price and stock market returns are in phase from 2009 to 2011, and is observed a positive relationship between them. From December 2011 to August 2015, both variables are in phase, and oil price is the leading factor in the stock market. During the period 2015 to 2021, both variables are in phase, but coherency between oil price and stock market returns is not observed.