Industrial intelligence and marine pollution in coastal cities: A Chinese city-level study

IF 4.8 2区 环境科学与生态学 Q1 OCEANOGRAPHY Ocean & Coastal Management Pub Date : 2025-03-15 DOI:10.1016/j.ocecoaman.2025.107621
Jiayu Tian, Jie Xie
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Abstract

Industrial intelligence has greatly propelled industrial development, while having a profound impact on the environment. This study, using data from 48 coastal cities in China and their local enterprises, employs a two-way fixed effects model to examine the impact and mechanisms of industrial intelligence on marine pollution. By integrating macro-level city data and micro-level enterprise data, this study innovatively reveals an inverted U-shaped relationship between industrial intelligence levels in coastal cities and marine pollution, which is primarily mediated by industrial energy optimization and economic development. Initially, more industrial intelligence may increase pollution, but after a certain point, it can help reduce it. Additionally, urban innovation capacity and environmental regulatory intensity play crucial roles in modulating this relationship, particularly through the adoption of clean technologies and enhanced pollution standards. Compared to previous studies, this paper firstly unveils the nonlinear relationship between industrial intelligence levels and marine pollution, as well as the specific mechanisms behind it, filling a gap in the existing literature. These findings provide compelling empirical evidence and policy insights for sustainable coastal management in developing economies, emphasizing the synergistic relationship between industrial intelligence and environmental protection, which offers empirical or theoretical support for achieving green transformation.
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工业智能化在极大推动工业发展的同时,也对环境产生了深远影响。本研究利用中国 48 个沿海城市及其当地企业的数据,采用双向固定效应模型,考察了工业智能化对海洋污染的影响和机制。通过整合宏观层面的城市数据和微观层面的企业数据,本研究创新性地揭示了沿海城市工业智能化水平与海洋污染之间的倒 U 型关系,这种关系主要以工业能源优化和经济发展为中介。在初期,更多的工业智能化可能会增加污染,但在一定程度后,它可以帮助减少污染。此外,城市创新能力和环境监管强度在调节这种关系方面也发挥着至关重要的作用,特别是通过采用清洁技术和提高污染标准。与以往的研究相比,本文首次揭示了工业智能化水平与海洋污染之间的非线性关系及其背后的具体机制,填补了现有文献的空白。这些发现为发展中经济体的可持续沿海管理提供了令人信服的经验证据和政策启示,强调了工业智能与环境保护之间的协同关系,为实现绿色转型提供了经验或理论支持。
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来源期刊
Ocean & Coastal Management
Ocean & Coastal Management 环境科学-海洋学
CiteScore
8.50
自引率
15.20%
发文量
321
审稿时长
60 days
期刊介绍: Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels. We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts. Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.
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