درخت حوزه‌های تخصصی

Protecting shareholders’ rights today is considered a practical competitive function at the level of capital markets, which is based on transparent and coherent actions within the framework of laws and regulations. In other words, the more the level of company operations is based on regulatory and legal procedures, the more level of protection of shareholders’ interests can be expected to be observed more uniformly by companies. This study aims to design a forensic accounting model focusing on protecting shareholders’ rights of petrochemical companies. The collection tool based on the analytical nature of the research consisted of two parts: evaluation checklist and matrix checklists. In fact, in order to promote the level of innovation in the relationship between forensic processes and quantitative accounting to collect data for the development of the forensic accounting model, through meta-synthesis and Delphi analysis, the components and propositions of forensic accounting were determined in the qualitative section, focusing on the protection of shareholders’ rights; then based on the matrix checklist, the most influential research propositions were determined through the analysis of fuzzy networks. The research results in the qualitative part indicate the existence of three components of structural mechanisms; it was the meta-structural and legalization of forensic accounting to protect shareholders’ rights, which was approved in the form of 18 statements. Further, the results in the quantitative part concerning the analysis of fuzzy networks were identified. The most effective component of forensic accounting in the protection of shareholders’ rights was structural mechanisms, and the most influential statements of forensic accounting in the protection of 

Trade liberalization of agricultural products and its effect on food prices, because of the importance of food in the household consumption basket, is one of the most important goals of governments for public access to health and food security. The present study investigated the effect of trade liberalization on domestic food prices in Iran. In this context, the single-equation error correction model (SEECM) was applied using the required time series data during 1989-2019. The results show that in the short-term, only increases in global food prices, liquidity, and exchange rates significantly affect domestic food prices. However, domestic food prices show more reaction to exchange rate fluctuations than to world prices. The estimated long-run equilibrium relationship demonstrated that world food prices have a positive and trade liberalization has a negative effect on domestic food prices. In addition, in the long run, the effect of liquidity on the domestic food price of food is more than other factors. The estimated error-correction term indicates that in the long run, if a shock occurs to the domestic food price, the domestic market can adjust it by only 35% annually. Considering the fluctuations of global prices and exchange rates, and their impacts on domestic prices, it is necessary to pay attention to these fluctuations in revising trade policies.

Iran attempts to expand the non-oil exportsfor diminishing the dependency on oil export income. This research tries to examine the export and trade balance of Iran's agricultural sector. Accordingly, the gravity model was used for export, applying panel data from 1997 to 2017. Also, the trade balance of Iran's total agricultural and the related sectors’commodities was examined. It should be noted that for the trade balance, time series data from 1978 to 2018 were used. The results of the gravity model show a negative effect for the variable of distance. The coefficients of Iran’s per capita GDP and also the GDP of trading partners are positive, as expected. It was found that a one percent increase in the per capita GDP of Iran causes a rise of 3.42 percent in the export of agricultural products; however,that of importing countries haslow statistical significance. Based on the coefficient obtained for the population, an increase in the population of the importing countries raises the demand for Iran's agricultural products.The degree of trade openness revealed a positive and significant effect on the export of agricultural products. The coefficient for the real exchange rate was found to be around 0.9 percent. It was also found that the volatility of the exchange rate is related directly to the export of agricultural products. Comprehensive sanctions have a negative and significant effect, while less restricting sanctions have an insignificant effect on the export of agricultural products. The global economic crisis has also had a dampening effect on exports. For trade balance, the results show that the value added of the agriculture has a positive effect on the trade balance of entire agriculture and sectors. The real exchange rate has a negative effect on the trade balance of agricultural commodities as a whole and livestock and agronomy sectors, confirming the J-Curve theory while it was not supported for the horticultural sector. Also, the variable of exchange rate volatility was included in the model using two measures of positive and negative series of exchange rate changes and the Autoregressive Conditional Heteroskedasticity (ARCH) effect, but their effect on the trade balance was not the same in terms of both the direction and statistical significance. The trade openness for the agricultural and horticultural sector was found with a positive coefficient, indicating that their production is based on comparative advantage. However, for the sectors of agronomy and livestock, it illustrated a negative effect. Sanctions have also harmed the trade balance.