Innovation Ecosystems, Cultural Context, and Climate Performance: A Cross-National Analysis Using Panel Regression and Machine Learning
Yazarlar (2)
Mehmet Ali Köseoglu Metropolitan State University, Amerika Birleşik Devletleri
Doç. Dr. Hasan Evrim ARICI Kastamonu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Sustainable Development (Q1) | ||
| Dergi ISSN | 0968-0802 Wos Dergi Scopus Dergi | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2026 |
| Cilt / Sayı / Sayfa | 0 / 1 / – | DOI | 10.1002/sd.70651 |
| Makale Linki | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sd.70651 | ||
| UAK Araştırma Alanları |
Sosyal, Beşeri ve İdari Bilimler
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| Özet |
| This study investigates how national cultural values moderate the relationship between innovation ecosystems and climate change performance across 28 countries from 2013 to 2022. While innovation infrastructure, comprising regulatory quality, education, ICT, investment, and knowledge diffusion, is widely regarded as a key driver of climate action, countries with similar innovation capacities often demonstrate stark differences in environmental outcomes. Drawing on Hofstede's six cultural dimensions and the technology–structure–behavior (TSB) framework, this paper theorizes that cultural norms act as informal institutions that shape how societies internalize and operationalize innovation for climate impact. Using a dual‐method approach, we employ panel regressions to test six interaction hypotheses and apply ensemble machine learning models (Bagging, Random Forest, and Boosting) with SHAP and … |
| Anahtar Kelimeler |
| behavior | climate change performance | innovation ecosystem | national culture | structure | technology |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Google Scholar | 2 |