Research Article: Food safety standards and their effects on Iran's fish exports
Publish place: Iranian Journal of Fisheries Sciences، Vol: 19، Issue: 6
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
View: 107
This Paper With 11 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JIFRO-19-6_022
تاریخ نمایه سازی: 23 بهمن 1400
Abstract:
Food safety standards are one of the major non-tariff barriers of global trade. We investigate their effects on fish international trade patterns, especially for the developing countries. The main objective of this study is to investigate the role of mercury standards on Iran’s fish exports. We utilize the gravity model analysis based on balanced panel data model, covering eight importing countries over the ۲۰۰۶-۲۰۱۵ period. The estimated coefficient of mercury standard supports the hypothesis that fish safety standards are one of the important factors affecting fish exports. Moreover, regulation similarity between countries could increase fish trade. Other explanatory variables of geographical distance between countries, trade agreement between countries and real exchange rates also have a significant effect on fishery product exports. The results indicate that Iran’s fish exports are negatively correlated with mercury standards of importers. As a result, adapting fisheries product standards and producing with the methods to deal with mercury standard imposed by importing countries is crucial for increasing Iran’s fish exports.
Keywords:
Authors
H. Mohammadi
Department of Agricultural Economics, Faculty of Agriculture, Ferdowsi University of Mashhad
S. Saghaian
Department of Agricultural Economics, Kentucky University
M. Aminizadeh
Department of Agricultural Economics, Faculty of Agriculture, Ferdowsi University of Mashhad
H. Aghasafari
Department of Agricultural Economics, Faculty of Agriculture, Ferdowsi University of Mashhad
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :