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<p>The paper analyses the determinants of green development in the Central and Eastern European (CEE) countries pointing out the influence of the sophistication of productive structure and exported goods (economic complexity). The study uses OECD data regarding green development, World Bank Indicators, World Penn Table Data, and MIT Harvard data covering the period of 1996 to 2020, in a heterogeneous panel approach. Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) models are estimated in order to express the influence on green development of the economic complexity index, KOF globalization index, renewable energy consumption, human capital index, and a constructed institutional quality index (computed by using the Principal Component Analysis based on data from World Governance Indicators). All considered variables have a validated statistical influence on green growth in both models. The Dumitrescu-Hurlin causality test revealed a bidirectional causal relationship between institutional quality and green growth and unidirectional ones from economic complexity, human capital and renewable energy to green development and from green development to globalization. Policy implications are also provided.</p>
</abstract>

The paper analyses the determinants of green development in the Central and Eastern European (CEE) countries pointing out the influence of the sophistication of productive structure and exported goods (economic complexity). The study uses OECD data regarding green development, World Bank Indicators, World Penn Table Data, and MIT Harvard data covering the period of 1996 to 2020, in a heterogeneous panel approach. Fully Modified Ordinary Least Squares (FMOLS) and Dynamic Ordinary Least Squares (DOLS) models are estimated in order to express the influence on green development of the economic complexity index, KOF globalization index, renewable energy consumption, human capital index, and a constructed institutional quality index (computed by using the Principal Component Analysis based on data from World Governance Indicators). All considered variables have a validated statistical influence on green growth in both models. The Dumitrescu-Hurlin causality test revealed a bidirectional causal relationship between institutional quality and green growth and unidirectional ones from economic complexity, human capital and renewable energy to green development and from green development to globalization. Policy implications are also provided.

Economic Complexity as a Determinant of Green Development in the Central and Eastern European (CEE) Countries

“Vasile Goldiș” Western University of Arad, Romania University of Oradea

Studia Universitatis „Vasile Goldis” Arad – Economics Series

This work is licensed under the Creative Commons Attribution 4.0 International License.

The paper analyses the determinants of green development in the Central and Eastern European (CEE) countries pointing out the influence of the sophistication...

Economic Complexity as a Determinant of Green Development in the Central and Eastern European (CEE) Countries

Published Online: Jul 13, 2024

Page range: 108 - 132

Received: Oct 01, 2023

Accepted: Dec 01, 2023

DOI: https://doi.org/10.2478/sues-2024-0015

Keywords
green growth, economic complexity, globalization, human capital, renewable energy, panel data

© 2024 Olimpia Neagu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Economic Complexity as a Determinant of Green Development in the Central and Eastern European (CEE) Countries

Published Online: Jul 13, 2024

Page range: 108 - 132

Received: Oct 01, 2023

Accepted: Dec 01, 2023

DOI: https://doi.org/10.2478/sues-2024-0015

Keywordsgreen growth, economic complexity, globalization, human capital, renewable energy, panel data

© 2024 Olimpia Neagu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
green growth, economic complexity, globalization, human capital, renewable energy, panel data