Port De-Industrialization in the Age of AI and Climate Change: A Study of Strategic Management and Adaptation

Vrajlal Sapovadia

MPRA Paper from University Library of Munich, Germany

Abstract: This research paper explores the phenomenon of "port de-industrialization" within the contemporary context of rapid advancements in Artificial Intelligence (AI) and the escalating impacts of climate change. While many ports globally, including major Indian ports like Paradip and Vadhavan, continue to pursue industrial growth, the confluence of AI-driven automation and climate-induced disruptions necessitates a re-evaluation of traditional port development models. This paper argues that over-industrialization can lead to environmental degradation, infrastructure overload, and regional imbalances, prompting a strategic shift towards de-industrialization in certain port areas. Leveraging insights from strategic management theories, the study examines how ports can proactively adapt to these forces, transforming from heavily industrialized zones to more diversified, technologically advanced, and environmentally sustainable maritime hubs. It analyzes the role of AI in optimizing port operations and facilitating a leaner, more efficient structure, while simultaneously addressing climate change vulnerabilities through adaptive planning. The paper concludes by outlining a framework for strategic management and adaptation, emphasizing the need for flexible governance, stakeholder collaboration, and continuous innovation to navigate the complexities of a de-industrializing port landscape. Study sunsetting strategies for ports no longer viable due to AI trade compression or climate impact.

Keywords: Port De-industrialization; Artificial Intelligence (AI); Climate Change; Strategic Management; Port Adaptation; Sustainable Ports; India. (search for similar items in EconPapers)
JEL-codes: A11 G2 (search for similar items in EconPapers)
Date: 2025-07-08, Revised 2025-07-08
New Economics Papers: this item is included in nep-env and nep-tre
References: Add references at CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/125231/1/MPRA_paper_125231.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:125231

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().