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Illegal fishing and catch potentials among small-scale fishers: application of an endogenous Switching regression model

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  • Akpalu, Wisdom
  • Normanyo, Ametefee K.

Abstract

Capture fish stocks are facing an increasing threat of extinction, partly due to the use of illegal fishing methods. In developing coastal countries – where fishing activities are the mainstay of the population along the coast – livelihoods are being directly threatened. Although a number of studies exist on fishing regulations and those who violate them, little has been done on the relationship between intrinsic catch potentials/fishing skills and illegal fishing behavior. Using data on violations of light attraction regulation among small-scale fishers in Ghana, our results show that the risk of punishment, the amount of fishing experience, the skipper's age, and religious norms all influence the decision to violate fishing regulations. Most importantly, we found that violators and non-violators have different fishing skills. Consequently, policies targeting illegal fishing must focus on equalizing efficiency and/or fishing skills among the fishermen as well as on traditional variables that influence violation decisions.

Suggested Citation

  • Akpalu, Wisdom & Normanyo, Ametefee K., 2014. "Illegal fishing and catch potentials among small-scale fishers: application of an endogenous Switching regression model," Environment and Development Economics, Cambridge University Press, vol. 19(2), pages 156-172, April.
  • Handle: RePEc:cup:endeec:v:19:y:2014:i:02:p:156-172_00
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    Cited by:

    1. Song, Chunxiao & Liu, Ruifeng & Oxley, Oxley & Ma, Hengyun, 2018. "The adoption and impact of engineering-type measures to address climate change: evidence from the major grain-producing areas in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(4), October.
    2. Drupp, Moritz A. & Khadjavi, Menusch & Quaas, Martin F., 2019. "Truth-telling and the regulator. Experimental evidence from commercial fishermen," European Economic Review, Elsevier, vol. 120(C).
    3. Mkuna, Eliaza & Baiyegunhi, Lloyd JS, 2020. "Impact of Nile perch (Lates niloticus) overfishing on fishers’ income: Evidence from Lake Victoria, Tanzania," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 15(3), September.
    4. Andreas Tsakiridis & Michael Wallace & James Breen & Cathal O'Donoghue & Kevin Hanrahan, 2021. "Beef quality assurance schemes: Can they improve farm economic performance?," Agribusiness, John Wiley & Sons, Ltd., vol. 37(3), pages 451-471, July.
    5. Perrings, Charles, 2014. "Environment and development economics 20 years on," Environment and Development Economics, Cambridge University Press, vol. 19(3), pages 333-366, June.
    6. Jikun Huang & Yangjie Wang & Jinxia Wang, 2015. "Farmers' Adaptation to Extreme Weather Events through Farm Management and Its Impacts on the Mean and Risk of Rice Yield in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 602-617.
    7. Bacalso, Regina Therese M. & Wolff, Matthias & Rosales, Rina Maria & Armada, Nygiel B., 2016. "Effort reallocation of illegal fishing operations: A profitable scenario for the municipal fisheries of Danajon Bank, Central Philippines," Ecological Modelling, Elsevier, vol. 331(C), pages 5-16.

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