The high-quality development of the fishery economy (HQDF) is crucial to ensuring the sustainable supply of aquatic products. This study first conducts a theoretical analysis of the potential impacts of the digital economy (DE) on the HQDF and explores the underlying mechanisms. By using provincial panel data of China from 2011 to 2022, comprehensive indicator systems are constructed to measure the development levels of the DE and the HQDF. A two-way fixed effects model is employed to empirically examine the impact of the DE on the HQDF, with a focus on the mediating roles of technological innovation and entrepreneurial activity. The findings reveal that the DE significantly and positively drives the fishery economy towards high-quality development, and these results remain robust across various robustness tests and endogeneity treatments. Additionally, the transmission mechanisms of technological innovation and entrepreneurial activity enhancement are empirically validated. The impact of the digital economy exhibits regional heterogeneity. This study provides a scientific basis for achieving high-quality and sustainable development in the fishery sector, suggesting that fostering the digital economy, technological innovation, and entrepreneurship should be prioritized in policy interventions.

This study evaluated the carbon emissions as one of the environmental impacts of fishing activities in China during the period of 2010–2022. The decoupling effect of fishery carbon emissions and fishery economic growth was analyzed using a decoupling model. The findings reveal that China’s fishery carbon emissions are substantial and exhibit multi-stage variations. Inland areas mainly emit carbon from aquatic feed decomposition and aquaculture equipment electricity consumption, with differing structures between high- and low-emission regions. Coastal areas primarily emit carbon from fishing, supplemented by aquatic feed. From 2010 to 2011, decoupling was poorly idealized as strong negative decoupling, but post-2011 featured mainly weak decoupling with strong decoupling as a complement. After excluding economic factors, carbon intensity and population size positively influenced decoupling, with intensity initially leading and scale later expanding. Structural factors mainly hindered decoupling.