Sustainable Management of Fisheries in Tamil Nadu
Department of Agricultural Economics, Tamil Nadu Agricultural University, Agricultural College and Research Institute, Madurai, India
International Journal of Marine Science, 2015, Vol. 5, No. 28 doi: 10.5376/ijms.2015.05.0028
Received: 15 Feb., 2015 Accepted: 28 Mar., 2015 Published: 04 May, 2015
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Preferred citation for this article:
Amarnath and Mouna, 2015, Sustainable management of Fisheries in Tamil Nadu, International Journal of Marine Science, Vol.5, No.28 1-8 (doi: 10.5376/ijms.2015.05.0028)
The study on sustainable management of fisheries was taken up in the Cuddalore district of Tamil Nadu with varying levels of pollution by SIPCOT industries. The cost of fish production was highest for low affected category due to less pollution intensity and the consequent high fish production in that category. The gross income and net income was highest for low affected fishermen with Rs. 468816 and Rs. 151237 respectively which showed that they were more profitable than other two categories. Fish catch was varied with pollution intensity.
Resource use efficiency of fish production with Cobb-Douglas production function revealed that variables of fuel cost, number of fishermen and maintenance cost were positive and significant for all categories of fishermen. The technical efficiency of affected fishermen with Data Envelopment Analysis revealed that mean technical efficiency and scale efficiency of the three categories of serious affected, medium affected and low affected fishermen was similar and was around 99 per cent. The Contingent Valuation revealed that the WTP amount was also highest for serious affected category with annual amount of Rs. 5850 and higher over medium affected category by 163.59 per cent and over low affected category by 491.18 per cent. Sustainable Rural Livelihood framework analyses showed that low affected fishermen was more sustainable followed by medium and low affected fishermen.
Management of fisheries; Resource use efficiency; Cobb-Douglas production function; Technical efficiency; Data envelopment analysis; Contingent evaluation and Sustainable; Rural Livelihood framework