Resumen
Fishery contributes to a wide range of employment and economic benefits for individuals and the country. Unfortunately, the global fish stock has been fully exploited and the sign of recovery from it is tremendously low. It can be observed that the current condition of the fishery production should be taken seriously since there is a problem in the efficiency level. Therefore, this research is conducted to investigate the relationship of exogenous variables towards the efficiency level of fishery production. The Panel Tobit Regression is applied. Based on the data collected which involve 13 states in Malaysia from the year 2004 until 2014, efficiency result shows that Perak is the most efficient state throughout year 2004 to 2014 with a mean score of 0.9440, followed by Perlis and Pahang with efficiency mean scores of 0.9036 and 0.8001 respectively. The least efficient state for the 11 years period was Negeri Sembilan with efficiency mean score of 0.1470. Panel Tobit Regression is applied to find the relationship of efficiency score for 13 states in Malaysia with exogenous variables. Tobit characteristic applied in the model as the efficiency score is based on censored data with lower and upper limit of zero and one. The result shows temperature and total rainfall are positively affecting the efficiency score. Meanwhile, the wind speed shows a negative relationship with the efficiency score. Overall, this research has successfully demonstrated the effect of exogenous variables on the efficiency score of fishery production. The findings may give some reference for the policy maker to revise the current policy by considering the exogenous factors in calculating fish revenue.