Economic Cooperation Organization (ECO): Livestock Export, Determinants and its Potential – An Application of Gravity Model.
Author: Sikandar Hayat

The most important and imperative objective of the developing nation is rapid economic growth and exports are generally considered as an engine for economic growth. Being an agro-based economy of the ECO region, agriculture exports play a pivotal role not only in economic growth but also in socioeconomic uplifting. This research aims at evaluating main empirical determinants of livestock sector exports of ECO member countries by applying augmented panel gravity model over the period of 2000-2013 for a sample of 28 countries. In addition, the study also analyzes whether there is any untapped exports potential between ECO member countries and the trading partner in livestock sector. The result contradicts the consistency of gravity model for livestock sector of ECO region. Likewise, the estimate also points out the coordinated exchange rate of ECO, tariff rate, population and consumption of livestock products in importing country, and relative factor endowment also affects livestock sector exports. The export potential estimate reveals that ECO region has great export potential with its major trading partner, ASIAN and SAARC economies. Furthermore, the study also constructs revealed comparative advantage index (Balassa RCA index) for five ECO member countries in relation to four major commodities of livestock sector. The RCA index for animal originated product demonstrate that Pakistan, Iran and Kyrgyzstan has comparative advantage in the global market, while in case of Turkey the RCA index for animal originated product shows mixed trend. The analysis shows that RCA index for dairy products/eggs/honey was above the benchmark in case of Kyrgyzstan. The RCA estimate confirm the comparative advantage of Turkey in worldwide meat market, while in case of Pakistan RCA index cross the threshold point during the last three year of the study. Supervisor:- Dr. Hasan Muhammad Mohsin

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Supervisor: Hassan Muhammad Mohsin

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