Factors influencing the choice of a safe haven for offloading illegally caught fish: a comparative analysis of developed and developing economies

Table 5 Principal components analysis of the constructs

Factor	Items			Factor loadings	Communality
Concealability N = 71	# vessels in port			0.912	0.832
	% ports within 125 top ports			0.689	0.475
	Value of fish imports			0.883	0.779
	Value of fish exports			0.850	0.722
	Kaiser–Meyer–Olkin = 0.790	Eigenvalue = 2.81
	Bartlett’s test = p < 0.001	% of Variance = 70.2	Determinant = 0.127
Fisheries monitoring, control, and surveillance N = 42	Illegal fishing score^a			0.727	0.529
	Catch inspection schemes			0.900	0.810
	Observer schemes			0.797	0.636
	Vessel monitoring schemes			0.844	0.712
	Control of access to stop illegal fishing			0.857	0.735
	Kaiser–Meyer–Olkin = 0.834	Eigenvalue = 3.42
	Bartlett’s test = p < 001	% of Variance = 68.4	Determinant = 0.059
Governance N = 72	Political stability			0.858	0.736
	Government effectiveness			0.948	0.899
	Control of corruption			0.965	0.931
	Kaiser–Meyer–Olkin = 0.675	Eigenvalue = 2.57
	Bartlett’s test = p < 0.001	% of Variance = 85.5	Determinant = 0.058
Wildlife protection regulation N = 57	# treaties and conventions for the protection of the environment			0.791	0.626
	% territorial waters that are marine protected areas			0.794	0.630
	Environmental sustainability			0.797	0.636
	Kaiser–Meyer–Olkin = 0.676	Eigenvalue = 1.89
	Bartlett’s test = p < 0.001	% of Variance = 63.0	Determinant = 0.581

^a“Illegal fishing score” was reversed prior to its inclusion in the Fisheries MCS factor

ISSN: 2193-7680