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The effect of the changing age distribution on national saving is estimated empirically in this paper. We have specified a saving function based on Ando – Modigliani’s Life Cycle Hypothesis which incorporates the portion of population in 11 different age groups to represent the age structure of the population. Auto_ Regressive Distributed Lag (ARDL) Model estimation technique is based derived from the ARDL model. An Error Correction Model (ECM) of national saving behavior in also constructed and estimated in order to reveal the short run dynamic adjustments of saving towards its long run equilibrium. Data used in the estimation process are time series data within the period 1345 and 1383. Data are tested for stationary and co-integration estimation technique in used for estimating the coefficients of the model. The results indicate that the age distribution in an influential factor an saving behavior of the population. A relative population increase in the age group of 15-24 and 55- and over, tends to lower national saving, while a relative increase in population within the age group of 25-29, 30-34, … and 50-54 has a positive impact on national saving. These in the age group of 35-39 and 40-44 have the highest saving rate.

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The increasing importance of knowledge in economies has led to the knowledge-based economy. In fact, in this type of economy, the accumulation of science and knowledge from research and development has led to an increase in the rate of return on research and development projects and plays a significant role in creating wealth for a country. Accordingly, the main purpose of this paper is to evaluate the relationship between knowledge Economy Index (KEI) and Gross Domestic production (GDP) for Iran’s Economy over the past 20 years. Therefore, the relation between knowledge Economy Index and GDP growth in 1996 to 2017 in Iran’s economy through The Johansen test has been investigated. Results confirm a long-run relation between KEI and GDP growth during the studied period. Considering the significant contribution of knowledge-based economy to GDP growth, it seems it is necessary to pay attention to constructive variables of the s knowledge Economy and the production of knowledge-based products for Iran’s economy. Regarding this result, policymaking for promoting knowledge-based economy should be concerned.

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In oil-abundant countries, oil revenues, due to various reasons such as mismanagement, can influence the economic and social conditions and hinder development. This paper examines the relationship between oil revenues and social capital in Iran during 1976-2007. To do this, the Autoregressive Distributed Lags (ARDL) approach and bound testing approach for co-integration are used to analyze data and estimate the model. The results indicate that oil revenues as an indicator for abundance of the natural resources have significant and negative influence on social capital. In addition, GDP per capita has positive impact on social capital in Iran.  

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 Iran's economy dependence on oil revenues has caused some impacts in the form of commodity price fluctuations on current revenues. Accordingly, in the past few years especially in the Second Development Plan, the government included encouragements and reduced the country's dependence on oil revenues in its agenda. Agricultural export, especially livestock and poultry export has a proper status due to its relative advantage. Therefore, this study aims to identify the factors affecting the supply of export animal products. For this purpose, factors affecting the export of livestock products were identified using Co-integration Analysis. Empirical results showed that livestock products export is significantly affected by livestock added-value, changes in price index of export goods, subjective price index of livestock products and climate changes.

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The long run economic growth is one of the main economic requirements of countries in order to attain comprehensive development and increase the social welfare. This research aims to examine the effect of output uncertainty on economic growth for Iran during 1965-2011. Output uncertainty, gross domestic product, inflation and population are variables under study. In this paper, first, output uncertainty is computed using a generalized auto-regressive conditional heteroscedasticity (GARCH) model and then the effect of output uncertainty on economic growth is estimated though co-integration test and vector auto-regression (VAR). The findings show that output uncertainty reduces the long run economic growth in Iran. This result is in accordance with Bernanke (1983) and Pindyck (1991) studies. They concluded that increase in output uncertainty leads to decrease in both investment and long run economic growth. The findings also indicate the negative and positive effects of inflation and population growth, respectively, on the long run economic growth in Iran. 

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According to the Kau and Robin (K&R) hypothesis, an increase in the government's power to collect taxes increases the size of government. In this regard, the main objective of this paper is to test this hypothesis for the Iranian economy during the period of 1971-2014. For this purpose, two variables are used as indicators of government's power to collect taxes: rate of female participation in the labor market and self-employment rate. The estimation method is a canonical co-integration regression (CCR). The results indicate no significant impact of the mentioned indicators on the government size. Thus, Kau-Rubin hypothesis is rejected for the Iranian economy. The FMOLS and DOLS estimators reconfirm the results.

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According to empirical studies, the imbalanced and even contradictory changes have happened during the industrialization process at some industrial areas and structures, and both national and provincial levels in Iran. This paper analyzes the trend of inclusive and sustainable industrial development and its determinants during the period 1974-2015 by Johansen-Juselius co-integration method. The findings show that industrial growth has experienced a highly fluctuating trend. Inclusive industrial development has experienced a relatively stable trend. However, sustainability of industrial development has recorded a downward trend during the period under study. The results of co-integration analysis indicate positive and significant effects of capital, exchange rate, technology, and research and development expenditure on industrial growth. The inclusiveness of industrial development despite is positively influenced by industrial employment, investment and social capital. Nevertheless, it is negatively affected by technology and research and development expenditure. Sustainability of industrial development is also a positive function of industrial employment, social capital and government investment on the environment sector. According to the findings, it is suggested that the more credits should be allocated for protecting environment. In addition, in order to enhance social capital, it is recommended that the participation rate of various social classes should be increased.

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Globalization is a driving force in emitting carbon dioxide (CO₂), which causes countries to interact with each other economically, socially and politically. The interaction between countries will inevitably affect CO₂ emissions. The aim of this study is to investigate the dynamic effects of globalization and energy consumption on environmental degradation in Iran. Therefore, it examines which variable (globalization, energy consumption or economic growth) is more effective in the process of environmental degradation. The Fully Modified Least Squares (FMOLS) and Charnes, Cooper and Rhodes (CCR) models are applied to investigate the subject over the period 1978-2016. In addition, Maki co-integration test is used to check the long-term dynamic relationships. The results show that globalization increases environmental degradation regardless of the decrease or increase in economic growth. This indicates that the scale effect of is dominant in Iran.