The impact of digitalization on the green development of the marine economy: evidence from China’s coastal regions DOI Creative Commons
Xin Jin, Mengxue Li, Xue Lei

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: Dec. 24, 2024

Under the impetus of new generation technological revolution, digitalization offers opportunities for green development marine economy. Utilizing data from 11 coastal Chinese provinces and cities between 2011 2020, this paper constructs a comprehensive index system Based on this, fixed effects model is used to explore impact economy its underlying mechanisms. The findings indicate that effectively promotes economy, with effect being more pronounced in regions bordering “the Belt Road” initiative. Mechanism tests by raising level ports. When breaking down components port development, it found improving location quotient plays crucial role than radiation intensity how Additionally, environmental regulation exerts U-shaped moderating relationship these findings, recommended use digital technologies data, expedite big platforms, integrate resources, optimize operations, apply policies judiciously promote efficient resource management sustainable economic development.

Language: Английский

Impact of Digital Development and Technology Innovation on the Marine Fishery Economy Quality DOI Creative Commons

Yiying Jiang,

Lei Huang, Yang Liu

et al.

Fishes, Journal Year: 2024, Volume and Issue: 9(7), P. 266 - 266

Published: July 5, 2024

The digital economy plays an important role in promoting the high quality and sustainable development of marine fishery economy. Based on panel data from 2011 to 2022, we firstly adopted entropy method comprehensively evaluate level fishing. Secondly, constructed a two-way fixed effect model empirically analyze impact mediating green science technology innovation, further explored regional heterogeneity quality. Several findings emerge. was relatively low showed fluctuating increase. can significantly improve fishing, conclusion still valid after considering series robustness tests. drive through innovation. This paper proposes fostering advancement sector, effectively harness innovation-driven potential economy, so as facilitate harmonious both economies.

Language: Английский

Citations

12
Prediction of maximum dynamic shear modulus of undisturbed marine soils in the eastern coast of China based on machine learning methods DOI
Yiliang Tu, Qianglong Yao,

Ying Zhou

et al.

Ocean Engineering, Journal Year: 2025, Volume and Issue: 321, P. 120382 - 120382

Published: Jan. 20, 2025

Language: Английский

Citations

1
New Marine Productivity Empowers green development of the marine economy: Theoretical Mechanism and Empirical Evidence DOI
Wei Wang, Yao Hua Wu,

Xiaoxia He

et al.

Regional Studies in Marine Science, Journal Year: 2025, Volume and Issue: unknown, P. 104042 - 104042

Published: Jan. 1, 2025

Language: Английский

Citations

0
The development trend of China’s marine economy: a predictive analysis based on industry level DOI Creative Commons
Yu Chen,

Huahan Zhang,

Lingling Pei

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 10, 2025

This paper aims to provide insights into the future trends for marine industries in China, by forecasting added value key sectors and then offering tailored policy recommendations. Those economic indicators at industry level are characterized small sample sizes, sectoral heterogeneity, irregular fluctuations, which require a specialized methodology handle data features predictions each industry. To address these issues, conformable fractional grey model ( CFGM ), integrates accumulation with model, is applied proven effective through accuracy robustness tests. First, results from multi-step experiments demonstrate that significantly outperforms traditional statistical, machine learning models, models context of predictions, an average improvement 32.14%. Second, stability predictive values generated further verified Probability Density Analysis PDA ) multiple comparisons best MCB tests, thereby ruling out possibility accurate result mere chance. Third, used estimate across industries, accompanied suggestions ensure sustainable development economy.

Language: Английский

Citations

0
From Algorithms to Green Growth: Can Artificial Intelligence Drive Enterprise Energy Transformation? DOI
Meiying Huang, Quan Li, Bowen Li

et al.

Economic Analysis and Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Navigating the dual currents: Advanced insights into carbon emissions and economic growth in China's coastal marine fisheries DOI
Yixiao Wang, Sufyan Ullah Khan,

Dequan Kong

et al.

Marine Policy, Journal Year: 2025, Volume and Issue: 177, P. 106671 - 106671

Published: March 11, 2025

Language: Английский

Citations

0
The Impact of the Digital Economy on Sustainable Fisheries: Insights from Green Total Factor Productivity in China’s Coastal Regions DOI Open Access
Lingchao Li,

Shu Jiang,

Ying‐Tien Lin

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2673 - 2673

Published: March 18, 2025

The digital economy has emerged as a transformative force, creating new opportunities for sustainable development, especially within the marine fisheries sector. This study examines impact of on green total factor productivity (GTFP) in China’s coastal regions from 2011 to 2022. Using panel data 11 provinces, we employ Slack-Based Measure (SBM) model and Global Malmquist–Luenberger (GML) index assess GTFP analyze effects economic development. Our findings indicate following: (1) significantly enhances fishery GTFP, improving both resource efficiency environmental sustainability; (2) varies across regions, reflecting notable regional heterogeneity infrastructure adoption; (3) threshold effect exists, whereby influence depending level research underscores dual role technologies boosting fisheries’ while promoting greener, more practices. provides valuable insights policymakers aiming integrate transformation into development fisheries.

Language: Английский

Citations

0
The Impact of Digital Technologies on Eco-Efficiency: Evidence from ICT Patents DOI Creative Commons
Xiaobin Li, Xiping Xu,

Zhaoxuan Duan

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100675 - 100675

Published: March 1, 2025

Language: Английский

Citations

0
Dual advancement of marine economic growth and environmental governance: an empirical analysis of China’s Marine Economic Development Pilot Zones DOI Creative Commons
Zhiyong Song,

Zechen Li,

Yipin Zhang

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: April 7, 2025

Introduction This research aims to empirically investigate the dual effects of establishing Marine Economic Development Pilot Zone (MEDPZ) on marine economic growth and environmental governance. The study focuses China’s coastal provinces, where MEDPZs have been implemented, assess their impacts both aspects. Methods employs a Time-varying difference-in-differences (DID) model based panel data from provinces. method allows for assessing causal impact MEDPZ establishment governance by comparing pilot provinces with non-pilot over time. Results has significantly enhanced in Specifically, increased 1.222 percentage points, while improved 0.748. Additionally, varied spatially across different circles. northern circle experienced most substantial benefits. southern saw significant increase but relatively minor improvement In contrast, eastern was not substantially affected. Discussion findings suggest that effectively boosted competitiveness economy mitigating adverse impacts. is achieved through promoting scientific technological advancement strengthening government regulation. provides basis policymakers formulate implement development strategies consider regional differences, enhance financial support science technology R&D, enforce stricter regulations protection.

Language: Английский

Citations

0
Greening the marine map: a comprehensive study of China’s marine ecological and economic synergy DOI Creative Commons

Zechen Li,

Hanqian Lin,

Xuemei Zhang

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11

Published: Nov. 27, 2024

Introduction This research examines the coupling coordinated development dynamics between marine ecological governance and economic in China’s coastal provinces. The data of 11 provinces were comprehensively analyzed from 2011 to 2021. Methods We established a multi-dimensional evaluation index system for development, employing global entropy weight method quantification. Furthermore, analyzes trends divergence these two systems by constructing coupled coordination degree(CCD) model, utilizing Theil decomposition method, geodetector detector. Results Northern circle outperforms Eastern Southern ones regarding governance, while is most advanced development. results CCD model indicate that Guangdong, Shandong, Hebei, Jiangsu have best Hainan, Tianjin, Guangxi are at bottom. intra-regional disparities primary cause regional variations. At same time, geographic detector further substantiate energy structure, degree industrial agglomeration, foreign overseas direct investment principal influencing factors. Discussion study presents policy recommendations derived findings intended foster integrated advancement ecology economy provinces, reduce disparities, establish scientific foundation achieving sustainable economy.

Language: Английский

Citations

2