Dynamic supply-side multipliers in China's marine economy: A neural network-enhanced Ghosh model for sustainable development.

ABSTRACT: With the continuous growth of China's economy, marine economy plays an increasingly important role in the national economy. This study quantifies multiplier effects and supply-side dynamics in China's marine economy (2017-2023) to inform sustainable development strategies. Combining the Ghosh model, employment analysis, and structural path analysis (SPA), we enhance traditional input-output frameworks with LSTM neural networks to capture nonlinear sectoral interdependencies. Key results reveal marine tourism as the dominant contributor to value added (44.346%), gross output (48.87%). Marine fishery exhibits the highest direct employment coefficient (0.42681), while marine mining drives significant indirect job growth (coefficient: 0.35072) in related industries. Marine transportation ranks

SUBMITTER: Jin J 

PROVIDER: S-EPMC12517523 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature