Gender Equality, Governance and National Innovation Capability for Sustainable Development: Cross-National Machine Learning Evidence

dc.contributor.authorErdem-Aladag, Tugba
dc.contributor.authorAladag, Omer Faruk
dc.contributor.authorKoseoglu, Mehmet Ali
dc.date.accessioned2026-04-04T13:37:36Z
dc.date.available2026-04-04T13:37:36Z
dc.date.issued2026
dc.departmentİnönü Üniversitesi
dc.description.abstractThis study examines how gender equality and governance conditions relate to national innovation capability, using an exploratory machine-learning approach on cross-national panel data. Gender equality is widely recognized as a human right and a core Sustainable Development Goal (SDG 5), yet its association with country-level innovation capability remains insufficiently mapped in sustainability-oriented innovation research. To address this gap, we compile a harmonized dataset for 109 countries (2007-2019) from the Global Innovation Index, the Worldwide Governance Indicators, UNDP gender indicators, and World Bank development controls. We conceptualize innovation as national innovation capability and operationalize it using the GII score, a composite index that combines innovation inputs and outputs. Across decision-tree and ensemble models, governance quality emerges as consistently informative for predicting innovation capability. Gender equality indicators also display substantial predictive relevance, indicating that inclusion-related conditions are systematically associated with cross-country variation in innovation capability. The findings contribute to sustainability science and innovation policy by clarifying how gender equality and institutional quality jointly map onto innovation capability while maintaining an exploratory, non-causal interpretation of model outputs.
dc.identifier.doi10.1002/sd.70828
dc.identifier.issn0968-0802
dc.identifier.issn1099-1719
dc.identifier.orcid0009-0000-0229-2359
dc.identifier.orcid0000-0002-5176-679X
dc.identifier.scopus2-s2.0-105032247835
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1002/sd.70828
dc.identifier.urihttps://hdl.handle.net/11616/109940
dc.identifier.wosWOS:001710096500001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofSustainable Development
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250329
dc.subjectglobal innovation index (GII)
dc.subjectgovernance quality
dc.subjectinclusive innovation
dc.subjectinnovation policy
dc.subjectSDG 16 (strong institutions)
dc.subjectSDG 5 (gender equality)
dc.subjectSDG 9 (industry, innovation and infrastructure)
dc.subjectsustainable development
dc.titleGender Equality, Governance and National Innovation Capability for Sustainable Development: Cross-National Machine Learning Evidence
dc.typeArticle

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