Research on Green GDP Accounting and Its Climate Mitigation Effects Based on SEEA and Fuzzy Evaluation
DOI:
https://doi.org/10.54097/7ckf7661Keywords:
Green GDP, SEEA accounting system, Fuzzy Evaluation Model, Principal Component Analysis, Multi-Country Stochastic Growth Model.Abstract
Conventional GDP fails to account for environmental degradation and resource depletion, misleading economic progress and undermining sustainability. This study advocates for Green GDP (GGDP) as a transformative metric that integrates ecological costs into economic performance evaluation. Methodologically, the study establishes a GGDP accounting framework based on the System of Integrated Environmental and Economic Accounting (SEEA), applying a fuzzy evaluation model to derive an environmental adjustment coefficient (0.5382), and employ principal component analysis to identify CO₂ emissions as the key climate mitigation indicator. Using regression and a stochastic growth model, this paper simulates the economic-environmental trade-offs under GGDP adoption. Results from a China case study demonstrate that optimal environmental governance can limit total output loss to 4.94%, significantly mitigating climate-related economic damages. The contributions of this paper include a novel integration of fuzzy evaluation and dynamic optimization for GGDP estimation, offering a scalable and policy-relevant approach to aligning economic planning with ecological sustainability.
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