Determining the export priorities of Iran's petrochemical products to member countries of ECOTA and Eurasia trade agreements
Subject Areas : Bi-quarterly Journal of development economics and planningفرزاد کریمی 1 , maryam rashidinia 2 , hassan ghorbani dinani 3
1 - گروه حسابداری، دانشکده علوم انسانی، دانشگاه آزاد مبارکه اصفهان، مبارکه، اصفهان، ایران
2 - Ph.D. student of Business Administration, Department of Management, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Iran
3 - Assistant Professor, Department of Management, Mobarakeh Branch, Islamic Azad University, Mobarakeh, Iran
Keywords: Export, Decision Support Model, Economic complexity, export opportunity, ECO and Eurasia trade agreements,
Abstract :
The most important relative advantage of Iran has been the export of crude oil and natural gas for a long time. Considering the raw nature of these products, specialization in the production and export of these products will not have a significant impact on Iran's sustainable growth. One of the solutions is to infiltrate the downstream industries of these products, the most important of which is the development of the petrochemical industry. In this sense, since the expansion of export markets is considered as one of the important strategies in the field of marketing, the aim of this research is to identify and prioritize the export opportunities of Iran's petrochemical industry products by developing an integrated decision support model - economic complexity, in five countries that are members of the Eurasian Economic Union. It includes Belarus, Kazakhstan, Russia, Kyrgyzstan, and Armenia, and the member countries of ECOTA trade agreements include Afghanistan, Pakistan, Tajikistan, and Turkey.the current research is applied in terms of purpose, descriptive-survey in terms of data collection, and a mixed type of research. The statistical population of the research was formed by the member countries of ECO and Eurasia trade agreements during the period of 2014 to 2021. First, in order to identify the factors affecting the development of export opportunities, using a questionnaire and a fuzzy Delphi model, based on the opinions of experts working in the private sector and petrochemical companies, experts working in specialized government jobs of the Ministry of Health, and academic experts,
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