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<p>The country’s export structure and specialisation are related to long-term industrial development that creates the composition of the production framework according to different modes of quality and intensity of technology. The actual performance and progress of the manufacturing industry depend on the move towards competing on the basis of knowledge, R&amp;D, skills, and intangible investment, then the costs of local resources continuously increase, and quality drivers become more significant than the lower costs to compete in the global market. This paper aims to examine the role of education indicators in qualitative changes in the structure of Lithunian exports. This study focuses on the analysis of the structure of the Lithuanian manufacturing industry export employing factor input taxonomy and explores 125 education indicators covering period 2000–2023 to find those that encourage changes of export composition towards technology-intensive and marketing-intensive industries. This research encompasses the analysis of simultaneous and delayed relationships, causality, and cointegration between structural parts of export and education indicators using correlation analysis, Granger causality test, and ARDL bounds testing to identify short- and long-term relationships. This study reveals that a clear alignment between educational outputs and industrial needs is required to achieve a qualitative shift in the manufacturing export structure. The expansion of technology-intensive segments is highly sensitive to the type of specialisation rather than the volume of general higher education.</p>

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The Role of Educational Landscape Improving Export Structural Quality: the Case of Lithuania

  • 期刊论文

  • 发表日期：

    2026年6月15日

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  • Asta Baliute,
  • Alina Stundziene

摘要

The country’s export structure and specialisation are related to long-term industrial development that creates the composition of the production framework according to different modes of quality and intensity of technology. The actual performance and progress of the manufacturing industry depend on the move towards competing on the basis of knowledge, R&D, skills, and intangible investment, then the costs of local resources continuously increase, and quality drivers become more significant than the lower costs to compete in the global market. This paper aims to examine the role of education indicators in qualitative changes in the structure of Lithunian exports. This study focuses on the analysis of the structure of the Lithuanian manufacturing industry export employing factor input taxonomy and explores 125 education indicators covering period 2000–2023 to find those that encourage changes of export composition towards technology-intensive and marketing-intensive industries. This research encompasses the analysis of simultaneous and delayed relationships, causality, and cointegration between structural parts of export and education indicators using correlation analysis, Granger causality test, and ARDL bounds testing to identify short- and long-term relationships. This study reveals that a clear alignment between educational outputs and industrial needs is required to achieve a qualitative shift in the manufacturing export structure. The expansion of technology-intensive segments is highly sensitive to the type of specialisation rather than the volume of general higher education.