Journal of Economic Modeling Research

Investment spillover effects include regional growth factors around the developed centers, which this study aimed investigate effects of industrial investment spillover in provinces of Iran and the quantifying of these effects. Accordingly, it uses the spatial econometrics to explore the indirect effects or industrial investment spillover. The results indicate that provinces with a higher gravity index, which are respectively Tehran, Isfahan, Khorasan Razavi, Khuzestan and Fars with a coefficient of 0.152, 0.090, 0.085, 0.083 and 0.077 respectively, have more industrial investment spillover than other provinces. In contrast, provinces with more great geographical distance from developed provinces such as Ardabil, Sistan and Baluchestan, northern Khorasan and Ilam, respectively with coefficients of 0.029, 0.031, 0.037 and 0.038, have less benefit of industrial investment spillover Compared to other regions. Also, industrial investment spillover effects for different regions, very different from each other. As for some provinces, the indirect effects are much less than direct effects and for some provinces, the indirect effects are close to direct effects. This can be due to geographical location, politics, government regulation and exposure to developed provinces.

The purpose of this study is to evaluate environmental productivity changes in Iranian manufacturing industries, with two-digit ISIC codes, during 2003-2014. For this purpose, Meta-frontier Non-radial Malmquist CO_2 emission Performance Index (MNMCPI) is used. This index considers technological heterogeneities of industries. Empirical results indicate that, during 2003-2014, MNMCPI has grown, on average; the highest growth rate belongs to industries with medium technology. Also, all three indices of EC, BPC and TGC, as MNMCPI components, experienced growth, on average. TGC has the greatest impact in industries with medium technology while BPC has the greatest impact in industries with high and low technology. In general, BPC had the greatest effect on MNMCPI growth.The highest growth rate in EC index is observed in industries with low technology and the highest growth rates in BPC index, which shows the effect of innovation, and in TGC index are observed in industries with medium technology. Therefore, based on TGC index, industries with medium technology level are leading technological industries. Rregression analysis shows that energy intensity has a negative and significant effect and R&D has a positive significant effect on MNMCPI.

The purpose of current paper is to survey the asymmetric effects of inflation's positive and negative shocks on inflation uncertainty in short-run and long-run. For this end, first, the Ball model (1992) has been extended through the decomposition of inflation shocks to money demand's positive and negative shocks and money supply's positive and negative shocks. Then, through using nonlinear autoregressive distribution lag model and time series data of Iranian economy from 1978 to 2017 the positive and negative effects of inflation on inflation uncertainty, which is from the exponential generalized autoregressive conditional heteroskedasticity model, has been analyzed. The results of the study show that the effects of the inflation's positive shocks on inflation uncertainty in short-run and long-run are positive and significant. In contrast, the negative shocks have not any effects on inflation uncertainty in short-run and long-run. In other words, the rise in inflation causes an increase in inflation uncertainty in Iran; whereas, decrease in inflation has not had effects on inflation uncertainty.

The main objective of this study is modeling the dependency structure between the returns of oil markets, exchange rate and stocks of chemical products in Iran. For this purpose, the theory of Vine Copula functions is used to investigate the dependency structure. In addition to consider a linear relationship between financial markets in Iran, the nonlinear dependency structure of these markets is also estimated, and their dependence on their upper or lower tails is determined. The study period includes daily data (5 working days) from December 2008 to July 2017. Modeling of marginal distributions of GJR-GARCH models has been used. Then, using the Copula-GARCH approach, the structure of dependency between returns and the calculating of the Value at Risk (VaR) of crude oil, exchange rate and stock of the chemical product group returns have been investigated. Finally, the required back-test is performed on the basis of the loss function. The study findings show that both pairs of modeling returns are related to the same upper and lower tails. In addition, there is a same structural dependency on the distribution of the vine copula between the indexes of chemical products and the nominal exchange rate on the condition of the price of crude oil, which indicates the spillover between markets. Due to that spillover effect is the main source of financial risk, the structural dependence on the basis of vine copula functions makes accurate and reliable calculation of portfolio risk based on the VaR criterion.

There is a situation that due to economic shocks and imbalances in structural budgets and its continuation leads to stress in governments in uncertainty conditions. Fiscal stress as a volatile situation in financing of local governments can exacerbate the inability of governments to meet short-term and long-term fiscal commitments and excessive dependence on the central government. So the positive and negative effects of stress are related to the actions and responses of central and local governments. It is essential that policymakers in central and local governments pay attention to accurate and timely signs of fiscal stress for respond to stresses effects. In this study, we tried to clarify the fiscal situation in 31 provinces of Iran by calculating the local fiscal stress index from variables of fiscal structure and budget of each province and then estimate the threshold and spatial effects of the index through Panel Smooth Transition Regression method on economic growth and employment over the period 2005-2017. The results show that border provinces have the highest stress among other provinces, and provinces located in the center or near the capital have less stress. These results indicate the high centralism that exists in the provinces of Iran and has hindered the fiscal independence of local governments so that they can control and regulate their own revenues and expenditures, and in this case, they suffer less fiscal pressure and stress.