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Data Mining Multiple Stakeholders' Responses to Declining Schizothorax Fishery in the Lakes of Kashmir, India

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  • This study documented the historical perspective of lake fisheries in Kashmir, India, estimated the trends in fish production using the Kane’s cross impact analysis and the stakeholders’ willingness to pay for the restoration of Schizothorax fishery in the lakes of Kashmir. The cross impacts of introduction of carps in the lakes of Kashmir on Schizothorax fishery and total fish production are evaluated by Kane’s cross impact analysis.  Considering the obvious shortcomings of logistic regression, Classification and Regression Trees (CART) has been used for data mining multiple stakeholders’ responses to make a case for sustainable development of the Schizothorax fishery in the lakes of Kashmir. On the whole, time spent on the lakes to earn their livelihoods emerged as the root node as the single most important variable that determined WTP of stakeholders followed by income, type of stakeholder and age in the tree model. The CART analysis not only yielded the variables that determined the WTP but the pruned tree gave the hierarchy of the variables that determined WTP.  The results of the study strongly made a case for a concerted multi-institutional action plan for the restoration of Schizothorax fishery in the lakes of Kashmir.
  • Keywords: Fisheries Economics, Modelling and Economic Theory, Environment: Valuation
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  • W. Qureshi, Neha. 2014. Data Mining Multiple Stakeholders' Responses to Declining Schizothorax Fishery in the Lakes of Kashmir, India.In: Towards ecosystem based management of fisheries: what role can economics play?: Proceedings of the Seventeenth Biennial Conference of the International Institute of Fisheries Economics and Trade, July 7-11, 2014, Brisbane, Australia. Complied by Ann L. Shriver & Melissa Errend. Corvallis, OR: International Institute of Fisheries.
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  • Fisheries Research & Development Corporation, World Wildlife Fund, MG Kailis Group, AquaFish Innovation Lab, NOAA Fisheries, The European Association of Fisheries Economists, Japan International Fisheries Research Society, United Nations University, NORAD
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