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<p>This study empirically examines whether financial development (FinD) and technological innovation (TechD) moderate the environmental effects of human development (proxied by HDI) in 20 OECD countries over the period 1995–2025. Per capita CO₂ emissions are employed as the environmental outcome variable, and dynamic panel data techniques, particularly the System Generalized Method of Moments (GMM), are applied to address endogeneity, unobserved heterogeneity, and potential cross-sectional dependence. Descriptive statistics indicate notable variation across OECD economies in emissions levels, financial depth, and technological capacity, while panel unit root tests confirm the stationarity of the main variables. The empirical results reveal that HDI, FinD, and TechD do not exert statistically significant direct effects on CO₂ emissions. Moreover, the interaction terms (HDI × FinD and HDI × TechD), although consistent in sign with theoretical expectations, remain statistically insignificant in both dynamic GMM and fixed-effects specifications. These findings suggest that in advanced economies with already mature financial and innovation systems, incremental improvements in finance and technology are insufficient to decouple human development from environmental pressure. The results point toward a structural misalignment between development mechanisms and sustainability objectives, indicating that financial expansion and technological progress alone do not automatically translate into environmental gains. Policy implications emphasize the need for targeted green finance regulations, mission-oriented innovation strategies, and stronger integration of environmental, social, and governance frameworks to ensure that financial and technological systems are explicitly directed toward sustainability goals. Future research should consider disaggregated indicators and potential nonlinear dynamics to better capture the complexity of the development environment nexus.</p>

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The role of financial development and technological innovation in sustaining the environmental effects of human development: evidence from OECD nations

  • 期刊论文

  • 发表日期：

    2026年4月2日

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  • Fazli Elahi,
  • Chen Huashuai,
  • Martin Hronec,
  • Jana Vicianova Hroncova,
  • Kafeel Kafeel

摘要

This study empirically examines whether financial development (FinD) and technological innovation (TechD) moderate the environmental effects of human development (proxied by HDI) in 20 OECD countries over the period 1995–2025. Per capita CO₂ emissions are employed as the environmental outcome variable, and dynamic panel data techniques, particularly the System Generalized Method of Moments (GMM), are applied to address endogeneity, unobserved heterogeneity, and potential cross-sectional dependence. Descriptive statistics indicate notable variation across OECD economies in emissions levels, financial depth, and technological capacity, while panel unit root tests confirm the stationarity of the main variables. The empirical results reveal that HDI, FinD, and TechD do not exert statistically significant direct effects on CO₂ emissions. Moreover, the interaction terms (HDI × FinD and HDI × TechD), although consistent in sign with theoretical expectations, remain statistically insignificant in both dynamic GMM and fixed-effects specifications. These findings suggest that in advanced economies with already mature financial and innovation systems, incremental improvements in finance and technology are insufficient to decouple human development from environmental pressure. The results point toward a structural misalignment between development mechanisms and sustainability objectives, indicating that financial expansion and technological progress alone do not automatically translate into environmental gains. Policy implications emphasize the need for targeted green finance regulations, mission-oriented innovation strategies, and stronger integration of environmental, social, and governance frameworks to ensure that financial and technological systems are explicitly directed toward sustainability goals. Future research should consider disaggregated indicators and potential nonlinear dynamics to better capture the complexity of the development environment nexus.