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Hydrobiologia

, Volume 835, Issue 1, pp 101–115 | Cite as

Determinants of Nile perch (Lates niloticus) overfishing and its intensity in Lake Victoria, Tanzania: a double-hurdle model approach

  • Eliaza MkunaEmail author
  • Lloyd J. S. Baiyegunhi
Primary Research Paper

Abstract

The current fishing pressure in Lake Victoria, Tanzania indicates that the Nile perch (Lates niloticus) is overfished and no regulations are enforced to maintain a sustainable fishery despite its significant contribution to the economy. This study examines the determinants of Nile perch overfishing and its intensity in Lake Victoria, Tanzania, using a double-hurdle model that is based on baseline survey data collected from 268 Nile perch fishers. The model analysed the data in two sequential hurdles, the first hurdle being whether or not a Nile perch fisher overfished (probability of overfishing), and the second hurdle being the difference between the actual average catch size and the minimum slot size of 50 cm total length (TL) (intensity of overfishing). The study revealed that different socio-economic, institutional and fishing effort influence Nile perch overfishing and its intensity in Lake Victoria, Tanzania. This, therefore, suggests that, to attain a balance between sustainable fishery management and the livelihood for Nile perch fishers in Lake Victoria, there is a need for the government to design policies that will consider the dynamics of the institutional setup and fishing effort in this lake.

Keywords

Slot size Gillnet mesh size Hook size Fishery regulations 

Notes

Acknowledgements

Mzumbe University of Tanzania is acknowledged for supporting data collection of this study. Thanks are also conveyed to Tanzania Fisheries Research Institute (TAFIRI) for providing the administrative logistics and permits, and to the fishers and key informants who participated in the survey.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

Ethical clearance for this study (Ref. HSS/1572/017D) was obtained from the University of KwaZulu-Natal Research office.

Supplementary material

10750_2019_3932_MOESM1_ESM.doc (61 kb)
Supplementary material 1 (DOC 61 kb)

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Discipline of Agricultural Economics, School of Agricultural, Earth and Environmental Sciences (SAEES)University of KwaZulu-NatalPietermaritzburgSouth Africa

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