جستجوی مقالات مرتبط با کلیدواژه "زیرساخت" در نشریات گروه "اقتصاد"

The purpose of this paper is to investigate the effect of investment in renewable energy on Iran's macroeconomic variables. In this regard, statistical information related to the period 1991-2022 was used. For this purpose, the stochastic dynamic general equilibrium method was used. The information used in this article was collected from the Central Bank of Iran and the Ministry of Energy. The theoretical framework of the present study will be based on investment models, optimization and inter-sectoral balance. In this study, the effects of investment in the field of renewable energy through public and private companies are included in the model. The results obtained from the investment shock in the field of renewable energy indicated that investment in this sector had the greatest impact on the growth of economic added value in the industry, services, agriculture, and oil and gas sectors. Also, the obtained results indicate that in order to increase social welfare and achieve economic development, a 4-year investment period with a 50% growth in the field of renewable energy infrastructure in the country is necessary.

The purpose of this paper is investigating the impact of holding major sports events on the urban economy from the point of view of graduate students in the field of physical education at Tehran universities. The method of this research is descriptive and its design is correlation type; it has been done in two parts, qualitative and quantitative. The exploratory factor analysis method with orthogonal rotation was used to investigate the dimensions and factors of the effects of holding a sports event and the structural validity of the research tool. In this research, the statistical population was made up of all graduate students in the field of physical education at the universities of Tehran. The statistical sample of the research based on the research questions was 180 people. The research tool was a researcher-made questionnaire.The research data was analyzed using exploratory and confirmatory factor analysis. The results showed that the components of development infrastructure and management (4.17), cultural development (3.91), and economic development (3.88) were respectively in higher ranks. and were placed less, also the results of linear correlation between the variables showed that the components of infrastructure, management and cultural development have a positive and significant correlation.

Today, one of the most important platforms for increasing economic interactions in the international arena, transferring new technologies and continuing economic growth, is foreign direct investment; Because achieving economic growth and development in any country requires the formation of capital to provide the required financial resources. Therefore, researchers are encouraged to search for specific variables in order to facilitate the attraction of foreign direct investment, among these variables is life expectancy at birth as a special form of human capital. Considering this necessity, the purpose of this research is to investigate the effect of life expectancy at birth on the flow of foreign direct investment in the top 47 science producing countries for the period from 2011 to 2020. For this purpose, the model of the current research was estimated based on the dynamic panel data approach and the results showed that all the studied variables including life expectancy at the beginning of production as an indicator of population health with different estimated coefficients have a positive and significant effect on foreign direct investment; Therefore, it is suggested to the policy makers in order to attract foreign direct investment, in addition to other attraction policies, to implement the human resource development policy such as the policy of promoting health and population health through increasing the budget of the health sector and achieving health infrastructure facilities, so that the health and Improve people's life expectancy and in this way facilitate the attraction of foreign direct investment to the country.

One of the basic needs of human society, which is related to the issue of development in all its aspects and is now considered as one of the signs of civilization, is the issue of economic infrastructure. In addition to affecting development, this infrastructure is also changing. Therefore, in the present study, the rate of economic infrastructure development in Mazandaran province has been measured using the model of Analytical Hierarchy Process (AHP),  FUZZY Logic and Geographic Information System (GIS). The research method is descriptive-analytical and it can be used in the regional planning system. Accordingly, spatial layers of transportation, energy and information and communication technology (ICT) were obtained through the statistical yearbook Mazandaran province in 1398. In the following, three economic infrastructure development evaluation indicators along with related sub-criteria were rated by the participants through a questionnaire and they were integrated in the Geographic Information System (GIS). Finally, the research maps show that 49.01% of the cities in the province are in a very high category of economic infrastructure. 27% of cities are in the middle and upper middle level and 23% suffer from low and very low in economic infrastructure facilities. On the other hand, 39% of Mazandaran villages are situated in the best zone of infrastructure.

With the emergence and expansion of the globalization phenomenon and the deepening of interactions and economic and trade relations between the countries of the world, the role and place of attracting foreign capital in the patterns of growth and development have become very important for countries that are facing financial difficulties, in a way that since the 80s, new factors and variables have been proposed as the stimulus for attracting foreign direct investment and have attracted the attention of economists. Therefore, according to this necessity, the purpose of the current research is to investigate the relationship between innovation and the inflow of foreign direct investment in the top 47 science-producing countries in the world from 2011 to 2020. For this purpose, the econometric approach of dynamic panel data and dynamic generalized moments estimator have been used to estimate the model. The results of the research model show that all the studied variables with different estimated coefficients have a positive and significant effect on foreign direct investment in a way that the improvement of each of the five variables of innovation inputs and the variable of corruption control, exchange rate, and degree of development of the countries used as control variables increases the volume of foreign direct investment in this category of countries.

In this study, the impact of infrastructure on human development has been investigated in Iran in the 1990-2016 time interval, Autoregressive distributed lag is used as methodology. The results indicate, that social infrastructure, energy and banking in both short -run and long-run have positive and significant effects on human development. The infrastructure of water and transportation have a significant positive effect in the short run, but, within one interruptions, they reduce human development index and the impact water infrastructure reduction on human development is not significant. Despite the positive and significant impact of the of water on human development, the downward and significant trend of the effect of transportation on human development in the long run  has been recognized. In the long run, the significant negative impact of communication infrastructure on human development is slightly more than that in the short-term. Therefore, the quality improvement along with the quantification of positive in infrastructure and revision of infrastructure policies with negative impacts are recommended.  Classification JEL: O15, O18, I30

One of the economic goals in many countries is providing favorable conditions to boost economic growth. One of the favorable conditions for increasing the production and economic growth is investment in economic infrastructures. In general, investment in economic infrastructures, boost production and economic growth through increasing the factors such as: productivity, development of market area, equilibrium between supply and demand, creating positive externality effects, making better environment for competition and increasing the welfare level. The objectives of this study are investigating the effect of investment per worker in economic infrastructures on the non-oil gross domestic production per worker and investigating the interaction of capital per worker, non-oil economic growth per worker and investment per worker in economic infrastructures. Vector autoregressive model has been used for empirical investigation during the period of 1961-2006. The empirical results of this study show that in long run the effect of investment per worker in the economic infrastructures on the non-oil gross domestic production per worker is positive and investment per worker in the communication infrastructures has the highest effect and investment per worker in energy infrastructure has the lowest effect on the non-oil domestic production per worker. Empirical results also show that in short run the relationship between non-oil economic growth per worker and investment growth per worker in the economic infrastructures is insignificant, but the effect of capital growth per worker on the non-oil economic growth per worker and investment per worker in the infrastructures is significant and positive.

This study analyzes the impacts of various types of government expenditures on rural poverty in Iran, by using a system of equations including variables affecting on rural poverty such as agriculture labor productivity, employment in rural area, rural-urban migration and access to economic infrastructures and social (electricity, water, telephone) (education attainment, and health) infrastructures and time series data (1984-2009). The results reveal that different types of public Expenditures have various effects on poverty in rural areas. Public investments on water, health and road have the most positive impacts on rural poverty reduction. Government expenditures on water, agricultural R&D, education, health and road improve agricultural productivity growth. Public Expenditures on developing education infrastructures, health and transportation increased employment rate in rural area. Expenditures on water, health and road led to reduce rural-urban immigrate.

This paper tries to identify and rank the factors influencing Iran’s software exports promotion. This study uses OVAL comprehensive software exports promotion factors model as well as gathered data analysis to rank the influencing factors in Iran from the standpoint of outstanding exporting companies. According to the findings of this study, within 2005-2006, the most remarkable factors influencing software exports promotion were respectively: effective communications through agencies and offices abroad, appropriate infrastructures, income per-capita, employing skilled software experts, precise governmental policies, human resources development, and investment in software industry.