رمضان حسین زاده

In this research, the effect of changes in energy prices on output of different sectors by using of regional input output of Hormozgan province is investigated. The AFLQ method is used for regionalization of national I_O table. Three scenarios for the increase in energy prices have been considered. The results showed that except of water, electricity and gas/ sector, the output of other sectors has decreased. In the first scenario, the increase in the output of Water, Electricity and Gas/ sector was equal to 38574.52 million Rials whereas the output of transportation sector had the largest decrease in production. Industry and agriculture sectors are the other sectors that have the largest decrease in output after transportation.Total decrease of regional output in first scenario was 1896633.17 million Rials. As a result of the research, 20% increase in the price of energy carriers, about 0.28% of the total production of the province has decreased. In the second and third scenario total decrement of regional output was 512973.80 and 3048927.86 million Rials, respectively. Decrement of agriculture output in these two scenarios was 362099.15 and 512973.80 million Rials. Considering the importance of the agricultural sector in food production, supporting the production of this sector is necessary using appropriate policies such as guaranteed purchase or decrease of tax rate and technology subsidies in different sectors. These policies can provide the necessary incentives to adjust towards more efficient energy technologies, in order to ultimately reduce the negative effects of the increase in the price of energy.

According to the economic literature, foreign direct investment (FDI) has the main role in the growth of countries. Therefore, the main goal of present study is to examine the direct and indirect (spatial) effect of FDI on growth of GDP in different regions of Iran using the spatial econometric model. For this purpose, the data of 30 provinces of Iran during 2010-2018 has been used. The spatial weight matrix (W), is considered based on the contiguity of the regions. The results of model showed that FDI had a positive direct and spillover effects on growth of regions. Also, government spending in the regions, increase of financial credits and human capital had a direct positive effect on economic growth of the region's economy. The spillover effects of two variables, FDI and financial development, was significant. Meanwhile, the spatial (indirect) effect of FDI was positive, but the indirect (spillover) effect of financial development was negative.