Indian Journal of Geo Marine Sciences Vol. 49 (01), January 2020, pp. 73-79 Economic appraisal of offshore fisheries: A study on trawl fishing operations in Pakistan 1Hanif Muhammad Tariq, 1Yongtong Mu*, 2Muhammad Moazzam, 1Syed Babar Hussain Shah, & 3Tushar Ramesh Pavase 1College of Fisheries, Ocean University of China, Qingdao 266003, China. 2World Wildlife Fund (WW-F) Pakistan, 46-K, Block 6, PECHS Karachi, Pakistan. 3College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China. *[E-mail:
[email protected]] Received 23 July 2018; revised 28 September 2018 This study attempts to show the effects and relative contributions of the different fisheries factors affecting the revenues for a sample of commercial offshore trawling vessels operating in the Exclusive Economic Zone (EEZ) of Pakistan. In this study, the level of relative contribution of each determinant is estimated by using the Standard Multiple Linear regression (SMLR) with standardized regression coefficients and correlation methods. The data were collected through the survey questionnaire and direct interviews with the boat owners and fishermen. The estimated standard beta regression coefficient values for the catch (ß1=0.253), horsepower (ß2=0.26), fishing days at sea (ß3=0.316) and skipper or 2 2 captain’s fishing experience (ß4=0.32), respectively. Similarly, the catch contributes (R =17.7 %), horsepower (R =18.2 %), fishing 2 2 days (R =22.5 %) and skipper (R =23 %) on the revenue. Moreover, the correlation values for the catch (r(Revenue, Catch) = 0.70), horsepower (r(Revenue, Horsepower) = 0.698), fishing days (r(Revenue, Fishing Days) = 0.713) and skipper (r(Revenue, Skipper)= 0.718) indicates the strong positive relationship of each variable on the revenue.