درخت حوزه‌های تخصصی

Protecting the interests of shareholders is considered one of the main pillars of any capital market, which, while increasing the level of financial transparency, prevents the loss of their interests to those in power in companies. Consistency of laws and regulations on the one hand and the effectiveness of the corporate governance system in supervising the financial and legal operations of the company is considered important factor in respecting contracts and supporting the investments of minority and majority shareholders of companies, which makes investors confident in protecting their investments. Governance structural keywords in the corporate governance system can lead to Investor Protection by arranging effective board oversight mechanisms and motivating investors to have confidence in the structures of capital market companies. The purpose of this study is to interpret Investor Protection under the existence of a Governance Civilization based on interpretive prioritization analysis. In this study, theoretical screening based on similar studies was used to identify the components (Investor Protection) and research propositions (themes of corporate governance civilization). Then, in order to determine the reliability of research components and propositions through the participation of 14 experts and experts in the field of accounting and financial management, Delphi analysis was used. In the quantitative part, the components and propositions identified in the form of matrix questionnaires were evaluated by interpretive analysis by 20 managers of the top 50 companies of the Tehran Stock Exchange in 2009. The results showed that the proposition of sociocracy is considered the most influential theme of corporate governance civilization in capital market companies, which strengthens the effectiveness of internal control as a component of protecting the interests of shareholders. This result shows that the theme of sociocracy enables corporate governance mechanisms by promoting the level of sharing and participatory discourses to increase the effectiveness of board oversight, strengthen the weaknesses of internal controls to enhance the effectiveness of control over financial performance, and enrich the capacity to build trust and confidence in the performance of companies.

In recent years, the fluctuation in agricultural commodity prices in Iran is increased and thus, accurate forecasting of price change is necessary. In this article, a flexible combined method in modeling monthly prices of beef, lamb and chicken from April 2001 to March 2021, was proposed. In this new method, three different approaches namely simple averaging, discounted and shrinkage methods were effectively used to combine the forecasting outputs of three hybrid methods (MLPANN-GA, MLPANN-PSO and MLPANN-ICA) together. In implementation stage of hybrid methods, based on test and error method, the optimal MLPANN structure was found with 3/2/4–6–1 architectures and the controlling parameters are carefully assigned. The results obtained from three hybrid methods indicate that, based on the RMSE statistical index, the MLPANN-ICA method performs the best when forecasting prices for beef, lamb, and chicken. The outputs of three combination approaches show that the shrinkage method, with a parameter value of K=0.25, achieves the highest prediction accuracy when forecasting prices for these three meats. In summary, the proposed method outperforms the other three hybrid methods overall.

Iran’s agricultural exports have grown significantly in recent years. Cropland products (HS07) have become the second most important group in Iran’s agricultural exports over the last years. However, few studies have investigated the export potentials of cropland products. Therefore, this study aims to determine the main factors of Iran’s cropland products exports and calculate the export efficiency and potential in the trading partners. For this aim, the stochastic frontier gravity model is estimated based on balanced panel data covering 21 importing countries over the period of 2001 to 2021. The results indicated that economic and physical size of importing countries have positive and significant effect on the exports of Iran’s cropland products. In addition, common border between Iran and trading partners and economic sanctions have also positive and significant effect on the cropland products exports, while geographical distance between Iran and importing countries has negatively effects on the exports. The results of export efficiency showed that Iran does not have 100 percent efficiency in any destination market over the period of 2015 to 2021. Iran has an export efficiency of more than 50 percent only in Afghanistan, United Arab Emirates, Canada and Iraq. According to the results, Iran has the highest potential for exports of cropland products in Iraq. Hence, considering the high potentials in neighboring countries and significantly positive effect of common border partners, it is suggested that trading countries with common border like Iraq should be a top priority for the exports of cropland products.