This study concerns with calculation of Iran's agricultural bilateral trade costs and major influential factors in Iran's Bilateral Trade with Developed and Developing countries. The main findings revealed that over the period 1995-2010 weighted average of agricultural trade cost with developing partners has declined by 44, and with developed partners has increased by 22 percent. This reduction, however, was greater for UAE and Brazil from developing countries and for Switzerland and Austria from developed countries. Based on the estimated regression, agricultural bilateral trade costs is positively related to distance, bilateral tariff rate and lag of agricultural bilateral trade costs, while island and adjacency variables have an opposite effect on Iran's agricultural bilateral trade costs. Considering the results, it is suggested that agricultural products should be destined based on trade costs, in order to increase the comparative power of export products.
Jalerajabi, M., & Moghaddasi, R. (2014). Computing Cost of Agricultural Bilateral Trade and Exploring the Effective Factors for Iran's Bilateral Trade with Developed and developing countries. Journal of Agricultural Economics and Development, 28(1), 92-105. doi: 10.22067/jead2.v1391i6.31918
MLA
M. Jalerajabi; R. Moghaddasi. "Computing Cost of Agricultural Bilateral Trade and Exploring the Effective Factors for Iran's Bilateral Trade with Developed and developing countries". Journal of Agricultural Economics and Development, 28, 1, 2014, 92-105. doi: 10.22067/jead2.v1391i6.31918
HARVARD
Jalerajabi, M., Moghaddasi, R. (2014). 'Computing Cost of Agricultural Bilateral Trade and Exploring the Effective Factors for Iran's Bilateral Trade with Developed and developing countries', Journal of Agricultural Economics and Development, 28(1), pp. 92-105. doi: 10.22067/jead2.v1391i6.31918
VANCOUVER
Jalerajabi, M., Moghaddasi, R. Computing Cost of Agricultural Bilateral Trade and Exploring the Effective Factors for Iran's Bilateral Trade with Developed and developing countries. Journal of Agricultural Economics and Development, 2014; 28(1): 92-105. doi: 10.22067/jead2.v1391i6.31918
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