Assessing the Agricultural Competitive Advantage by the RTA index: A Case Study in Vietnam

This study aims to measure static and dynamic competitive advantages of Vietnam's agricultural sectors by employing the relative trade advantage index (RTA). The dynamics of RTA indicators are tested in three ways: OLS method, Markov matrix, and trend analysis. The results show that Vietnam, ge...

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Bibliographic Details
Published in:AGRIS on-line Papers in Economics and Informatics 2017-09, Vol.9 (3), p.15-26
Main Authors: Van Hoang, Viet, Tien Tran, Khai, Van Tu, Binh
Format: Article
Language:English
Subjects:
Agricultural commodities
Agricultural economics
Agriculture
Business competition
Case studies
Comparative advantage
Competition
Competitive advantage
Economic indicators
Economic theory
Environmental impact
Exports
Fisheries
Food processing
Informatics
International trade
Labor costs
Literature reviews
Livestock
Markov processes
Regression analysis
Regression models
Trend analysis
Trends
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Summary:This study aims to measure static and dynamic competitive advantages of Vietnam's agricultural sectors by employing the relative trade advantage index (RTA). The dynamics of RTA indicators are tested in three ways: OLS method, Markov matrix, and trend analysis. The results show that Vietnam, generally, obtains the strong competitive advantages in crop sectors and fishery sectors whilst it incurs the weak competitive advantages in livestock sectors and processed food sectors. The regression model suggests that the country has the convergent pattern in agricultural competitive advantages, the Markov matrix proves the relative stabilities of the RTA values, and the trend analysis indicates that Vietnam obtains the RTA gaining trends in 12 agricultural sectors while it has the RTA losing trends in 28 agricultural sectors.
ISSN:1804-1930
1804-1930
DOI:10.7160/aol.2017.090302