KNOWLEDGE AND DEVELOPMENT
Year:2010 | Volume:17 | Issue:31|Papers Count:10

The aim of this study is to investigate the share of total factor productivity growth (TFPG), labor force growth and physical capital growth on the value added growth of non-oil sector by applying the Cob-Douglass production function during the third, fourth and fifth development plans before the Islamic revolution of Iran (1342-1356), and during the first, second, third and forth economic, social and cultural development plans of I.R.IRAN (1368-1386). The results show that the TFP growth rate and the value added growth rate of non-oil sector during the period of 1342-1356 (1/5% and 10/2%) and 1368-1386 (2/4% and 5/9%), due to the lack of synthetic method (creating the new capacities and increasing the productivity of presented capacities simultaneously), have the severe fluctuations, respectively. Also the sources of the growth of the non-oil sector Value Added of Iran’s economy during 1342-1356 are physical capital and labor force growth, respectively. In other words, the non-oil sector value added growth rate of Iran has conformed from the exogenous growth model in this period. But the growth sources of the non-oil sector value added during 1368-1386 are physical capital, TFP and labor force growth rate, respectively, which the reason of this object is noticeable decreasing in physical capital growth. It seems that the basic factor of low share of the TFP growth in non-oil sector value added growth rate in Iran’s economy is due to the choices of incorrect policies (state control of wages, interest rate, exchange rate, energy price and price of other factors of pproduction), that distort the relative price factors from physical comparative abundance of factors.

One of the issues that in recent decades in the field of information economy is rapidly expanding economy under information and discussion in this major economic problem of asymmetric information is related. As we know in today's world information and trading stock market performance is the core. Lateral velocity and symmetry of the main role of information and market efficiency is critical. One of the roles Stock firms is that the necessary ground for investors to provide information about the spaces. If this field does not provide due to the asymmetry of information, group information advantage compared to other income earned unusual achieve. Whatever is in front of more efficient market and security market is more symmetry and more investment to produce guidance can be found in access to higher economic growth.The aim of this paper is that in line with this organization how much stock exchange has been successful in its role to the performance of the stock market pay data. In this study low-level performance with random walk hypothesis test evaluated the difference situated to perform this test, variance ratio test, which is among the strongest tests were used. Using this test due to updated its flexibility and power than other tests are. The results show that the Tehran stock market performance in a situation where there dissonance in terms of the variance in this series, we are.

In recent decades, the textile industry, one of the major industries in Iran, has faced increasing challenges. These challenges are mainly due to unequal competition of internal firms with imported products, obsolescent machineries, lack of sufficient investment and etc. Use of advanced countries’ experiences in this regard as well as providing required facilities has been the major solutions for solving such a problem. In this research, the factors influencing export activities in textile industry was identified. Then, the opinions of Yazd textile industry managers have been gathered using questionnaires and analyzed through t-student test. The results show that all identified factors are influential. Next, pair-wise comparison questionnaires of both main and secondary factors have been distributed among managers. Analyzing the gathered data with AHP technique resulted in the weighting of main factor. The secondary factors were ranked using TOPSIS technique. The findings indicate that the qualities of products as well as strategic direction of firms for developing in global markets are among the most important factors affecting on textile industry exports.

Nowadays service industry plays an essential and significant role in economic growth and development of nations, while the role and importance of insurance industry as a supporting base of other industries is apparent. On the other hand, the world of insurance is rapidly changing and getting competitive and correct understanding of customers' requirements and their satisfaction are essentials for organizations to survive and grow. Superior service quality has been recognized as a key player in satisfying customers. In the insurance industry, service quality is mostly dependent upon personnel performance. Therefore, it can be argued that in this industry, the quality of internal service is a strategic means towards customer satisfaction. In the modified model of service quality gaps, seven major gaps have been addressed of which, three gaps are related to the internal environment of organization. Therefore, this investigation has been conducted in the insurance industry considering the important role of internal service quality gaps in structuring internal environment of organizations and based on the measurement of the third internal service quality gap, i.e. the difference between quality characteristics and delivery of service. The collected data is both library and questionnaire based. The statistical population of this research includes all of the personnel of the Iran Insurance Company in the province of Isfahan from mid of March to mid of June 2008. Due to the small size of statistical population, sampling has not been performed and statistical analysis has been made on the whole population. The third internal gap has been measured using descriptive analysis and it has been computed as 2.2359 at the studied company.

One of Known methods for measuring, forecasting and managing risk is value at risk, which recently has been used by financial institutions extensively. Value at risk (VaR) is a method for recognizing and evaluating risk and uses standard statistical techniques that have daily using in other contexts. This research is seeking a career for managing investment risk in stock exchange and selection an optimal Portfolio using ‘value at risk concept’ which could calculate by Monte Carlo simulation technique (MCS). Today, measuring of this concept simplified, because of that new softwares offered. In this research, after presenting definitions of risk, risk management, value at risk and Monte Carlo simulation technique, calculated value at risk of stocks using Monte Carlo simulation technique. Finally, optimal investment of any stock has determined using a compound model.

Distribution income show how national income divide between economic sectors and social groups. It effect on social justice and many factors effect on it, such as productivity of labor force and employment rate. In this paper, factors affecting distribution income, especially productivity of labor force have been analyzed by Panel Data model for 32 countries during 1998-2005. The results show economic growth rate and inflation rate have positive effect on inequality of income. Distribution Productivity of labor force, Tax revenue and General government final consumption expenditure has negative effects on inequality of income distribution.

The main purpose of this paper is to investigate the trade potential and its effects on increasing bilateral trade between the South West Asia regions, countries. Therefor, this paper aims to answer this question that: Could trade cooperation the South West Asia region's countries led to increase bilateral trade? To answer this question, Generalized Gravity Model is used and it is estimated by Panel Data method. The results indicate that GDP and geographical distance as independent variables, justify economic cooperation between them, mostly. This can lead to an increase in bilateral trade cooperation between these countries. The results show that the trade potential of the Iranian economy and the integration to the other members of the South West Asia region countries as a 61 percent in trade and also increase the value of bilateral trade flows between these countries.

The purpose of this study is to examine the dynamic effects of some macroeconomic variables: money stock, gross domestic product, consumer price index and exchange rates on determining housing price index behavior in Iran using the error correction model. Using seasonal data, the model is estimated by Johansen-Juselius cointegration approach during 1990-2007. The results reveal that all variables have a significant and positive relationship with housing price index. Forecast error variance decomposition shows that a large amount of house price changes can be explained by the variable itself until the fifth period, and with the increase of lag periods, share of gross domestic product, exchange rates, money and consumer price index would increase in explaining housing price index fluctuations. Furthermore, the response of housing price index to one standard deviation impulse in the aforementioned variables results in housing price index increase, and it returns to the permanent level after ten periods. The value of error correction coefficient is equal to -0.17 and is statistically significant; therefore, about 17 percent of housing price disequilibrium would be adjusted in each period. With regard to the nature of housing sector in Iran, such slow adjustment seems to be quite rational.

The emergence of the network society and information age is the onset of overall changes in different facets of the nowadays human life. The main element of the social actors and cognitive knowledge of new conditions is based on a concentrated image in which Information and Communication Technology (ICT) is in the center. The present importance of these technologies may be as much as the energy sources in the past industrial revolution. If energy production and distribution was the building block of the industrial society, producing and conveying of information would be the building block element of informational society. However, the emergence of information age is accompanied with a phenomenon which is called ‘digital gap’, and the rural areas are one of the most significant sectors of social system which suffer from these phenomenon more than urban areas. Regarding the significance of this issue, the present study aims to investigate the fields of ICT- based rural development concerning triple dimensions (structure, context, and content) in Sistan and Baluchestan Province. The applied method in this study is descriptive- measuring, and the data collection has been via questionnaire. The findings indicate that the fields of ICT- based rural development have not been provided in the investigated areas. At the end, regarding the findings, some suggestions have been presented in order to have ICI- based rural development.