Export Diversification in Lithuanian Traditional Technology Industry

Daiva Laskiene, Asta Saboniene (), Irena Pekarskiene and Rozita Susniene
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Daiva Laskiene: Kaunas University of Technology
Asta Saboniene: Kaunas University of Technology
Irena Pekarskiene: Kaunas University of Technology
Rozita Susniene: Kaunas University of Technology

A chapter in Financial Environment and Business Development, 2017, pp 137-153 from Springer

Abstract: Abstract This research study introduces the analysis of the export diversification in Lithuanian traditional technology industries by commodity groups and the geographical export markets. The actuality of research problem is based on the relation between degree of export diversification and fluctuations in export earnings and economic growth rates. The evaluation of export diversification lays the foundations to reveal the actual performance of low-tech industries and to explore their main export tendencies. The core aim of empirical study is to disclose which low-tech industry is most diversified, e.g., is best protected from possible external upheavals and ensures higher stability to the country’s economy. The methods of the scientific research used in empirical study are analysis of scientific literature and mathematic estimations and comparative analysis of export concentration indexes. The calculations of export concentration indexes (HHI) are performed using Lithuanian export-of-goods data, disaggregated to the Classification of Products by Activity (CPA). The results of empirical study demonstrate a moderate level of export concentration of Lithuanian low-tech sector according to both dimensions of geographical regions and commodity groups. In order to improve Lithuanian export competitiveness and to reduce losses of future demand fluctuations in the main export markets, the recommendations for export diversification enlarging are presented in this chapter.

Keywords: Export diversification; Concentration index; Herfindahl–Hirschman index; Traditional technology industry (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/978-3-319-39919-5_12

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