Structural readiness for innovation-driven international economic cooperation: A descriptive network-based cross-country assessment

Type of the article: Research ArticleAbstractInnovation and digitalization increasingly shape the national capabilities supporting international economic cooperation, extending the analytical focus beyond trade and financial flows. This study aims to assess country-level structural readiness for innovation-driven international economic cooperation and identify differences across income groups. Published composite indices and World Economic Outlook indicators are examined through descriptive Pearson correlation analysis, comparative analysis, and indicator-correlation network mapping for six benchmark years: 2000, 2005, 2010, 2015, 2020, and 2025, subject to indicator availability. Correlations are estimated across individual countries within the World Bank income groups applicable to each year.The averaged 2020/2025 networks retain 46 index–macroeconomic relationships for low-income countries, 49 for lower-middle-income countries, 48 for upper-middle-income countries, and 15 for high-income countries at an absolute correlation threshold of 0.40. Of these, 44, 48, 47, and 14 relationships, respectively, are positive. Low- and lower-middle-income configurations are predominantly organized around GDP per capita, whereas upper-middle-income configurations encompass a broader range of macroeconomic variables. High-income associations are more selective and distributed across the output gap, government debt, exports, savings, and GDP per capita. Within these averaged networks, network readiness is positively associated with constant-price GDP per capita, with coefficients of 0.66 for low-income countries and 0.63 for upper-middle-income countries. Trade and globalization associations vary across groups and periods.The findings indicate differentiated structural-readiness configurations across income groups, with comparisons constrained by unequal indicator coverage. The framework distinguishes national readiness conditions from realized international cooperation and supports descriptive interpretation.

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Publication Details

Journal
Problems and Perspectives in Management
Published
2026-11-09
DOI
https://doi.org/10.21511/ppm.24(4).2026.23
Primary Topic
Economic and Technological Innovation
Type
article
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article

Structural readiness for innovation-driven international economic cooperation: A descriptive network-based cross-country assessment

Маryna Stepura, Yaroslava Stoliarchuk, Hanna Kotina, Ілля Котін et al.
Problems and Perspectives in Management
Economic and Technological Innovation
article

Structural readiness for innovation-driven international economic cooperation: A descriptive network-based cross-country assessment

Маryna Stepura, Yaroslava Stoliarchuk, Hanna Kotina, Ілля Котін, Volodymyr Khomanets
article en

Abstract

Type of the article: Research ArticleAbstractInnovation and digitalization increasingly shape the national capabilities supporting international economic cooperation, extending the analytical focus beyond trade and financial flows. This study aims to assess country-level structural readiness for innovation-driven international economic cooperation and identify differences across income groups. Published composite indices and World Economic Outlook indicators are examined through descriptive Pearson correlation analysis, comparative analysis, and indicator-correlation network mapping for six benchmark years: 2000, 2005, 2010, 2015, 2020, and 2025, subject to indicator availability. Correlations are estimated across individual countries within the World Bank income groups applicable to each year.The averaged 2020/2025 networks retain 46 index–macroeconomic relationships for low-income countries, 49 for lower-middle-income countries, 48 for upper-middle-income countries, and 15 for high-income countries at an absolute correlation threshold of 0.40. Of these, 44, 48, 47, and 14 relationships, respectively, are positive. Low- and lower-middle-income configurations are predominantly organized around GDP per capita, whereas upper-middle-income configurations encompass a broader range of macroeconomic variables. High-income associations are more selective and distributed across the output gap, government debt, exports, savings, and GDP per capita. Within these averaged networks, network readiness is positively associated with constant-price GDP per capita, with coefficients of 0.66 for low-income countries and 0.63 for upper-middle-income countries. Trade and globalization associations vary across groups and periods.The findings indicate differentiated structural-readiness configurations across income groups, with comparisons constrained by unequal indicator coverage. The framework distinguishes national readiness conditions from realized international cooperation and supports descriptive interpretation.

Problems and Perspectives in ManagementVol. 24(4)
University of Bremen (DE), Kyiv National Economic University named after Vadym Hetman (UA)
Economic and Technological Innovation
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