文献类型：期刊文献

英文题名：The digital economy and marine new-quality productivity: unraveling the N-shaped relationship

作者：Chen, Qi[1];Yao, Wei[1]

机构：[1]Guangdong Ocean Univ, Sch Econ, Zhanjiang, Peoples R China

年份：2026

卷号：13

外文期刊名：FRONTIERS IN MARINE SCIENCE

收录：SCI-EXPANDED(收录号：WOS:001841975100001)、、Scopus(收录号：2-s2.0-105047595308)、WOS

基金：The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Guangdong Provincial Philosophy and Social Sciences Planning Project (Grant No. GD25YDXZYJ01); the Guangdong Provincial Higher Education Young Innovative Talents Project (Grant Nos. 030302082401, 2024WQNCX097); the Program for Scientific Research Start-Up Funds of Guangdong Ocean University (Grant No. 60302082102); the Guangdong Ocean University Humanities and Social Sciences Research Project (Grant No. 030301522302); and the Guangdong Basic and Applied Basic Research Foundation (Grant No. 2024A1515110146).

语种：英文

外文关键词：coastal provinces; digital economy; marine new-quality productivity; nonlinear relationship; N-shaped curve

外文摘要：Introduction Marine new-quality productivity (MNQP) has emerged as a critical driver for the high-quality development of China's marine economy, yet its relationship with the digital economy remains poorly understood.Methods Using panel data from 11 coastal provinces in China spanning 2011 -2021, this study constructs a comprehensive evaluation framework for MNQP and employs fixed-effects models, instrumental variable methods, and nonlinear regression techniques to systematically examine the impact of the digital economy on MNQP.Results and discussion The findings reveal a significant N-shaped nonlinear relationship, indicating that as the digital economy develops, its marginal effect on MNQP exhibits an N-shaped pattern, with positive effects at low levels, negative effects at intermediate levels, and a tentative reversal at higher levels that warrants cautious interpretation. The turning points occur at digital economy indices of approximately 0.198 and 0.618. Benchmark regressions show a significant negative linear effect overall, while grouped regressions reveal positive effects at low levels of digital development and negative effects at high levels. Endogeneity and robustness tests confirm the reliability of these findings. Among control variables, regional economic scale and financial deepening exert significant positive effects, whereas trade openness shows an inhibitory effect. This study provides new empirical evidence on the complex nonlinear dynamics between the digital economy and MNQP, offering actionable policy implications for coastal regions at different stages of digital development.