Iran is one of the wide countries which has different weather and agriculture sector is so important in Iran. Cotton is one of the agricultural productions which is used as input in the textile industry and is so important. In this paper, effective factors on Cotton production are estimated according to energy price shocks for five providences as Khorasan Razavi, Khorasan Jonoobi, Fars, and Golestan which has more Cotton production for the period of 2006 to 2013 and use from Panel Data to estimation. To estimate energy price, used from Divisia index and is composed of increased and decreased price with Mork method. Results reveal that increased and decreased effects of energy price have asymmetric effects on Cotton production. The effect of the increase in energy price is more than it's decreasing on Cotton production. Cotton price has a positive effect on Cotton production in our selective providences.

The purpose of this study was to investigate the impact of price shocks on selected energy carriers in household consumption basket and firm production functions (both supply and demand side of economy) simultaneously on macroeconomic of Iran. The stochastic dynamic general equilibrium model consisting of households, firms, foreign trade and government and central banks has been calibrated and simulated for the Iranian economy. The data related to the estimation of the research model were seasonally available for the period 1996-2006. The final model equations were linearized around the stable state using linearized stochastic equations by the method of Uhlig (1999: 40) as a spatially-state model in the Matlab programming environment. The results of the simulation and analysis of the model's immediate reaction functions show that all price shocks in selected energy carriers, while increasing production costs and creating inflationary conditions, reduce total consumption, total investment and total demand, and after reducing the production of non-oil products and total production, employment decreases. The results of variance analysis also show that most of the changes in employment (compared to production) are due to diesel fuel and electric shocks, respectively, so that 1,08 percent of employment changes (compared to non-oil production), due to diesel fuel shock and 1,01 percent due to electric shock. The severity of the adverse effects created at the employment level during the first 10 periods following the energy price shocks is significant, indicating the need to pay special attention to the unemployment rate when the subsidy targeting law is fully implemented.

The study aimed at examining the asymmetric effect of crude oil price on the quality of environment in Nigeria. The study utilizes the time series form of annual data from 1970 to 2019 and applies the model of NARDL (Non-Linear ARDL) to determine the short-run and long-run asymmetries. The results revealed that positive shocks in crude oil price reduces the amount of carbon emissions thereby enhancing the quality of the environment in the long run, while negative shock increases the amount of carbon emission and hence deteriorate the quality of the environment. In the short the positive shock increases the amount of carbon emissions while the negative shocks reduces the carbon emissions and also improve the quality of the environment. Nonetheless, the magnitude and sign of positive as well as negative shocks of crude oil price are essential in environmental management policies. Henceforth, on the basis of the sign as well as magnitude, the study recommends for more subsidy on clean energy as well as formulation of a favorable form of policies for the implementation of renewable form of energy such as solar by residential consumers and industries particularly during the period of low crude oil price.

This study examines the effect of energy price changes on the intensity of energy consumption in mineral products using a dynamic computable general equilibrium (DCGE) model with calibrated data, to simulate two scenarios (1.%5 price shock to natural gas 2.%5 oil price shock) until the time horizon of 2050, for three groups of regions and countries (Iran, Major trading partners, Rest of World) has been investigated. The simulation results of the DCGE model for Iran in the first scenario suggest a continuous improvement in energy efficiency, where the energy intensity values remain negative in general, the second scenario depicts a temporary increase in energy intensity for Iran, followed by a gradual decrease. which shows the increase in the energy sector of mineral products in the near future. Trade partners and other regions show a sharper reduction in energy intensity under the second scenario with faster rates of decline and more ambitious targets for energy efficiency. Based on the obtained results, it can be said that Iran is becoming more efficient in terms of energy consumption for the production of mineral products, which can be caused by various factors such as technological advances, improvement of production processes be which is running.