Technological entropy and its implications to fisheries governability.

Sci Total Environ

Memorial University of Newfoundland, Faculty of Humanities and Social Sciences, Department of Geography, St John's, NL, Canada. Electronic address:

Published: July 2020

AI Article Synopsis

  • The interactive governance theory suggests that how well a fishery can be governed relies on both its governing capacity and the inherent qualities of the fishery system itself.
  • Technological development's impact on the governability of fisheries has not been thoroughly analyzed, leading to the introduction of the concept of "technological entropy," which connects innovation and the complexities of managing fisheries.
  • The paper argues that technological entropy presents new challenges for fisheries governance by affecting fishers' decision-making and increasing demands on governance capacity, highlighting the need for understanding technology's role in sustainable fisheries management.

Article Abstract

The interactive governance theory postulates that the governability of a fishery system depends on the governing capacity, and the overall quality of the system to be governed. The elements making the fisheries more or less governable correspond to the diversity, complexity, dynamics, and scale of the natural and social systems that are being governed and the governing system. To date, the extent to which technological development affects these properties, and the fisheries governability, has not been evaluated. This paper presents a novel conceptualization of "technological entropy", linking the concept of entropy with technological innovation happening across fisheries. It further discusses the relationship between technological entropy and governability of fishery systems and illustrates it using examples from Newfoundland fisheries. The paper argues that technological entropy creates new challenges for fisheries governance by influencing fishers' decisions and adding demands on the governing capacity. Assessing how technologies fit into the fisheries governability framework can, therefore, help inform governing actions towards securing sustainable fisheries.

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http://dx.doi.org/10.1016/j.scitotenv.2020.137973DOI Listing

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