Table 3.

Bivariate Tobit model: joint estimates of the effects on the share of type strains in stock and on the share of distribution to industry of microbes in general.

	Coeff	Std. error	Z	Coeff	Std. error	Z
Conservation of TS submodel (TSSHARE)				Industry orientation submodel (FLOWIND)
SUPPORTNO	−0.06	0.08	−0.75	0.04	0.07	0.59
SUPPORTLOW	−0.07	0.05	−1.35	0.11*	0.06	1.92
SUPPORTMEDIUM	0.32**	0.13	2.39	0.19***	0.06	3.18
SUPPORTHIGH	−0.14**	0.07	−2.10	0.05	0.07	0.73
Control variables
PR	0.25**	0.10	2.58	−0.07	0.10	−0.77
STOCK	−0.04***	0.02	−2.63	−0.00	0.02	−0.14
INFLOW	0.04*	0.02	1.89	0.00	0.02	0.08
FLOWACAD	−0.10	0.08	−1.23	−0.58***	0.08	−7.50
OECD	0.04	0.07	0.56	0.25***	0.07	3.70
USA	−0.11	0.09	−1.14	0.28***	0.08	3.39
FEE	0.11*	0.06	1.92	0.21***	0.07	2.98
FUNGI	−0.16**	0.06	−2.46	−0.00	0.07	−0.05
YEAST	0.10*	0.05	1.93	0.23***	0.06	3.62
ALGAE	−0.15***	0.05	−2.68	0.06	0.06	1.00
BACTERIA	0.03	0.06	0.54	0.05	0.05	0.89
OTHER	0.03	0.05	0.55	0.02	0.05	0.47
CONSTANT	0.31**	0.13	2.31	0.01	0.20	0.05
Rho	0.27***	0.08	3.27

Number of observations = 103. Wald chi2 (18) = 278.25; Prob > chi2 = 0.0000. Likelihood ratio test of rho21 = 0: chi2(1) = 5.57, Prob > chi2 = 0.018. Interpretation of the table: The model is a two equations model, in which the upper half shows the equation with TSSHARE (ratio of type strains) as dependent variable. The lower half of the table shows the second equation with FLOWIND (share of microbes distributed to industry) as dependent variable. Note that the table show associations, not necessarily causal relationships. The stars indicate the level of significance, the sign of the coefficient shows the direction of the association between the individual covariate variable and the dependent variable in each equation.

^*Significant at 90% level.

^**Significant at 95% level.

^***Significant at 99% level.