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Table 5 Estimated covariance matrix of the multivariate probit model regression between SAPs

From: Climate variability, agricultural technologies adoption, and productivity in rural Nigeria: a plot-level analysis

 

\({\rho }_{S}\)

\({\rho }_{F}\)

\({\rho }_{M}\)

\({\rho }_{L}\)

\({\rho }_{S}\)

1

   

\({\rho }_{F}\)

0.071*

1

  

\({\rho }_{M}\)

0.039

0.074***

1

 

\({\rho }_{L}\)

− 0.026

− 0.009

0.192***

1

Likelihood ratio test of:\({\rho }_{SF}= {\rho }_{SM} = {\rho }_{SL}= {\rho }_{FM} ={\rho }_{FL} ={\rho }_{ML}= 0\)

\({(\chi }^{2}\left(6\right)= 51.58, P=0.000)\)

  1. *, ** and *** indicate statistical significance at 10%, 5% and 1%, respectively
  2. S seed, F = inorganic fertilizer, M organic fertilizer, L legume intercropping