چكيده لاتين
In recent years, one of the main concerns in the country has been to ensure sustainable food security in the country and create a favorable environment for people to use sufficient food. However, due to numerous droughts and wrong policies in certain years in the field of agriculture, the country has faced the challenge of providing food at times. Therefore, the issue of ensuring sustainable and quality food security has always been one of the important and vital issues in the country. One of the appropriate and common solutions in todayʹs economy is trade and using the capacity of other countries to ensure food security in the country. It should be noted that trade and ensuring food security are two very vital and interrelated aspects in human societies. Food security, as one of the basic principles of the countryʹs development, is a goal that communities around the world are seeking to achieve. In this area, one of Iranʹs trading partners in agriculture is the Eurasian Economic union, with which there are many economic and cultural relations.
Given the importance of the subject, in this study, modeling trade flows between Iran and the Eurasian Economic union will be considered and evaluated to examine how to ensure sustainable food security using the capacity of this union. In this study, economic analysis tools including Eviews software and Gephi software were used to achieve the objectives of the problem and modeling trade flows. In this thesis, initially, using statistics from 6 countries, the trade network of basic agricultural products including wheat, barley, corn, paddy and oilseeds between Iran and members of the Eurasian Economic union for the years 2000 and 2021 has been constructed, and using network statistics, Iranʹs position and its changes in this network have been measured during the 2 considered periods. Then, an attempt has been made to examine the effect of the network in the gravity model with greater accuracy by using the network index and dividing it into other variables including the logistics performance index, number of agreements, tariff and self-reliance coefficient, and finally, the two models have been examined and evaluated in the form of one model.
Network indicators show that Iranʹs position in the trade network with the Eurasian Economic union in 2000 and 2021 was low and did not play an active role in the import and export network of basic agricultural products. The results show that the density of the import and export network of agricultural products between Iran and the Eurasian Economic union increased from 2000 to 2021 and contributed to the globalization of trade, but Iranʹs role remained weak. In the panel data analysis in all three models, the variables of the importerʹs and exporterʹs GDP had a positive effect on the volume of trade, but factors such as cultural proximity, economic imbalance, and distance did not have a significant effect on trade. Also, the trade agreement variable and the logistics performance index had a positive and significant effect on the volume of trade, and finally the tariff variable and the self-reliance coefficient had a negative and significant effect on trade.