Journal of Economic Modelling
Year:2011 | Volume:4 | Issue:2 (12)|Papers Count:10

The purpose of this study is to investigate the interactive effects of economic growth and environment by using the growth models and simulation equations method. The results of estimating the production function and environmental pollution (CO2 emissions), by using two-stage least squares (2SLS) during 1976 to 2006 represents that although environment quality has positive and significant impact on economic growth, but it is being worsened by the rapid growth of economy. Also, results indicate that the effect of environmental protection expenditure on environment quality is not significant.

This paper investigate  the relation between institutional quality and the economic corruption by Linear Structural Relationships (LISREL) model among 35 countries like Iran by using the data of the years 2000, 2005, 2006. Results indicate that there is an indirect relation between the economic institutions quality such as government effectiveness, regulatory quality, rule of law and economic corruption with coefficient (-0.26). This finding has been illustrated that a high institutional quality lead to less economic corruption. Corruption spread has been affected on real GDP with coefficient (-1.13). Moreoever, indirect effect of institutional quality on GDP is 0.27.

The aim of this study is to analyze the effects of this factor on the Iranian economic growth of Iran the required data were collected by from various issues of Central Bank of Iran, Statistical Center of Iran and PDS economic database during the1974-2007. The number of employ people enjoyed higher education as a proxy of human capital was entered into the growth equation to estimate the model under ARDL approach. The results showed that human capital has a positive and significant impact on the economic growth both long and short run. In addition, the long term relationship between the independent variables and dependent variables of the model was confirmed.

In this paper, the effects of education structure on the distribution of income are going to be explained during 1968–2007 in Iran. In order to achieve the end, the writers try to represent the effects of education on the income in equality, the effects of different levels of education, the impact of private and public education and the difference of education effects between men and women. The findings represent that the more the level of education, the less the inequality of income. Public education reduces the income inequality more than the private education and woman education decrease the inequality more than men.

In this study, factors affecting savings in Iran's economy will be recognized by emphasizing the value of housing wealth in the provinces of the country. To represent that the data elements between twenty-eight provinces in 2001-2006 is used and a suitable model for is estimated panel data. Model results show that the estimated income (GDP) on savings (bank deposit account balance) had a significant positive effect and unemployment and the housing index are negatively related to changes in the value of total savings in the provinces shows. Thus, changes in the total value of provincial housing (replace wealth variable) affect the amount of savings and life cycle theory and confirm the value of reverse wealth effect on saving shows.

This paper investigates the effect of financial development and financial volatility on economic growth in short run and long run for the Iranian economy of Iran. To do so, we used a GARCH model for driving the volatility of financial variable and then, we used ARDL model to estimate the relation of financial variables on the economic growth. The indicator of financial development is the ratio of banking system credits for the private sector to GDP and the indicator of financial volatility is its conditional variance. The results represent a negative effect of credit on the real per-capita income in short-run and long run. This negative effect can be made by the inefficiency of Iranian banking system. The effect of financial volatility is also negative and significant in both short run and long-run.

In this paper, the major variables affecting the supply and demand of natural gas in Iran are introduced and by using the OLS technique, the natural gas supply and demand models are estimated in the forms of ARIMA. Short term income and price elasticities are 0.44 and 0.084 and long -term income and price elasticities are 8.8 and 1.68 .The short-term and long term elasticities of natural gas supply to natural gas export are 0.13 and 0.25. Using the estimated models and in 3 scenarios, natural gas supply and demand are predicted for the year 2025. In the first scenario natural gas supply and demand growth rates will be 3.5 and 4.5 percent per yearly. In the second scenario the annual growth rate of natural gas supply and demand will be 3.9 and 3.6 percent, and, finally, in the third scenario, these growth rates will be 2.1 and 3.51 percent.

This paper investigate the long-run relationship between the total factor productivity and the labor productivity in Iran during 1970-2007 and use Autoregressive Distributed Lags (ARDL) and Bound tests approaches. Results explain that there is a mutual long-run relationship between total factor productivity and labor productivity, and total factor productivity and labor productivity have positive and significant effect on each other.