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This study investigates the combined impact of e-governance, green technology innovation, and institutional quality on Japan’s progress toward achieving net-zero emissions from 2001 to 2023. By constr...ucting a composite NetZero Emissions Index (NZEI) using principal component analysis, the study employs both Autoregressive Distributed Lag models and machine learning techniques—including Random Forest and Support Vector Machines—to capture linear and nonlinear relationships among the key variables. The econometric results reveal that e-governance and institutional quality significantly enhance carbon neutrality in both the short and long run, while green innovation shows a strong long-term effect. Machine learning models confirm these findings, with high predictive accuracy (R² > 0.92) and variable importance analysis indicating that e-governance is the most influential predictor of NZEI. These results underscore the critical role of digital governance, innovation, and institutional strength in shaping effective climate policy. The study offers actionable insights for policymakers aiming to integrate governance reforms and technological innovation into Japan’s carbon-neutral transition.続きを見る
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Mendeley出力
2025_p1067