A comparative advantage analysis of fishing sector and its impact on Iran’s economic development

سال انتشار: 1398
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 103

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شناسه ملی سند علمی:

JR_JIFRO-19-1_029

تاریخ نمایه سازی: 27 بهمن 1400

چکیده مقاله:

The purpose of this study is to evaluate the value added of comparative advantage for fishing sector and its impact on economic development of different provinces in Iran between ۲۰۰۰-۲۰۱۴.  At first, the comparative advantage of any province of country was calculated. Then, the effects of fishing comparative advantage on economic development were studied using the generalized Solow model. The model study is based on empirical analysis such as panel unit root tests, panel co-integration test panel and it’s estimation of long-term relationships to help least-squares estimators modified (FMOLS). The results showed provinces of Hormozgan, Sistan and Baluchestan, Tehran, Guilan, Golestan and Mazandaran always had the comparative advantage during the study period. Also there was a co-integration long run relationship between variables that showed the value added of comparative advantage for fishing had a significant negative effect on economic development. So for every unit, increasing in comparative advantage of this sector, the economic development decreased ۰.۰۳۳%. This could be due to more important role other economic sectors than fishing sector on the economic development of the provinces and the lack of expertise of comparative advantage in fishing sector. Finally, suggestions were presented such as investment priority in the provinces where they have comparative advantage in the fishing sector and investigate the problems in the provinces that comparative advantage of them has decreased over time.

کلیدواژه ها:

The fishing sector ، Economic development ، Symmetrical revealed comparative advantage ، Panel Co-integration ، FMOLS

نویسندگان

H. Amirnejad

Sari Agricultural sciences and Natural Resources University

A.S. Ahmadzade

Sari Agricultural sciences and Natural Resources University

R. Esfanjari Kenari

Assistant professor of agricultural economics, Faculty of agricultural sciences, University of Guilan

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