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◆ Fishes2026-01-01· Productivity

The Impact of New Quality Productivity on Fishery Industrial Chain Resilience: Evidence from a Dual Machine Learning Model

Daqing Wu, Yingying Ma, Shousong Cai

原始摘要(英文原文)· Original abstract
Fisheries are fundamental for food security, and enhancing fishery industry chain resilience (FCR) is essential for safeguarding national supply and promoting high-quality development. With the rapid advancement of new quality productivity (NQP), its integration into the fishery industry chain provides a critical pathway to resilience enhancement and modernization. Using provincial-level data from China between 2012 and 2022, this study evaluates FCR across 29 provinces. A dual machine-learning framework is applied to assess the effects of a provincial NQP index on FCR and its underlying mechanisms. The results show that NQP has a statistically significant positive effect on overall FCR, with estimated coefficients ranging from 0.221 to 0.223 across model specifications. Dimension-specific analysis reveals pronounced heterogeneity: NQP significantly enhances resistance and recovery capacity (rr) as well as innovation and transformation capacity (it), while exerting a negative effect on adjustment and adaptive capacity (aa). Its impact on green ecological restoration capacity (ger) is positive but not statistically significant. Regional heterogeneity analysis shows that the resilience-enhancing effect of NQP is more pronounced in coastal provinces than in inland regions. Mechanism analysis suggests that improvements in labor productivity constitute a key channel through which NQP strengthens FCR. These findings highlight the importance of regionally differentiated strategies for promoting resilient and sustainable fishery development.
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