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            National Competitiveness of Vietnam: Determinants, Emerging Key Issues and Recommendations

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            Author(s)
            Nguyen, Phuc Hien
            Language
            English
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            Abstract
            The author presents an empirical study on Vietnam’s national competitiveness by using mixed methods research (qualitative and quantitative) with a combination of hard and soft data. The result shows that production resources (human, infrastructure, capital and natural resources) have played the most important role in improving competitiveness, productivity and living standard in Vietnam in the last two decades. The author also analyzed and evaluated the competitiveness of the Vietnamese economy, and pointed out the remaining weaknesses of competitiveness compared to the selected regional countries such as shortage of production resources supply, a dominance of inefficient state-owned enterprises and its slow reform, and weak public institutions as well as inefficient government governance. These weaknesses have led Vietnam’s competitiveness, productivity and economic growth to remain low, especially compared to China. Finally, the author attempts to provide some recommendations enhancing the competitiveness, productivity, and citizens’ living standard in Vietnam in the long term.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/159818
            Keywords
            Company Strategy and Operation; Competitiveness; Determinants; Emerging; Infrastructure Development; Issues; National; Nguyen; Production Resources; Recommendations; Technology Transfer; Vietnam; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics
            DOI
            10.3726/b13666
            ISBN
            9783631751138
            Publisher
            Peter Lang International Academic Publishing Group
            Publication date and place
            Bern, 2018
            Series
            Schriften zur Wirtschaftstheorie und Wirtschaftspolitik,
            Pages
            256
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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