Technical Efficiency of Fishing Activities: A Case Study of Small-Scale Trawling in the Mekong Delta, Vietnam

Table 3

Parameters estimate of stochastic production frontier and technical inefficiency models.

Variables	Coefficient	t-ratio
(1) Stochastic production frontier
Constant	2.297	1.75
ln (fishing day)	1.601	3.22
ln (crew members)	1.805	1.96
ln (engine)	−1.083	−1.71
ln (fishing day) ln (fishing day)	−0.031	−0.37
ln (crew members) ln (crew members)	−0.604	−1.33
ln (engine) ln (engine)	0.176	2.04
ln (fishing day) ln (crew members)	0.060	0.26
ln (fishing day) ln (engine)	−0.211	−1.47
ln (crew members) ln (engine)	0.033	0.12
(2) Inefficiency model
Constant	2.547	3.12
ln (experience)	−0.276	−2.77
ln (family crew)	0.032	0.20
ln (used time of vessel)	0.162	1.62
Vessel size (1 = medium, 0 = small)	−0.433	−1.94
ln (mesh size)	−0.116	−0.52
ln (net numbers)	−0.449	−2.82
Fishing ground (1 = west sea, 0 = east sea)	−0.410	−2.19
ln (operation distance from shore)	−0.188	−2.42
Gear registration (1 = yes, 0 = no)	−0.216	−1.66
Cooperation (1 = yes, 0 = no)	−0.267	−2.07
(3) Variance parameter
Observation	223
Log-likelihood	−117.17
Wald χ^2 (9)	215.72
	0.105
	0.119
=  +	0.224
	0.469

Note: , , and coefficients are statistically significant at 1%, 5%, and 10%, respectively.