Table 1 Model estimations with cattle production (herd size) as dependent variable

From: The impact of agricultural credit on the cattle inventory and deforestation in Colombia: a spatial analysis

Dependent variable: cattle production (herd size)

Variables

OLS

FE

SAR

SEM

SARAR

Number of agricultural credits

 

11.1174**

7.7976*

 

7.6494*

  

(4.3180)

(4.0731)

 

(4.20E+00)

Total credit value agricultural credits

−0.3429***

 

−3.0070e−01**

−0.29719**

−0.30548**

 

(0.1192)

 

(0.10846)

(0.10888)

(1.10E−01)

Number of cattle credits

−111.6304***

 

−1.4431e+02***

−1857.89***

−151.76***

 

(33.4814)

 

(29.532)

(30.262)

(3.03E+01)

Total credit value cattle credits

3.0620***

1.0002*

2.5421e+0**

2.6107***

2.6055**

 

(0.8548)

(0.5238)

(0.78966)

(0.77541)

(7.92E−01)

Coca (hectares)

     

Agricultural land use

  

−7.3207e−01*

−1.0126*

−0.85427*

   

(0.42241)

(0.44366)

(0.43611)

Cattle land use

0.3001***

−0.0481*

2.8863e−01***

0.29898***

0.29884***

 

(0.0354)

(0.0265)

(0.03125)

(0.033735)

(0.032774)

AgriculturalBank of Colombia offices (#)

12,005.1045***

 

12612***

13022***

13017***

 

(2,167.6712)

 

(1978.9)

(2023.4)

(2021.6)

% Rurality

−527513.5352**

1730356.7720**

−6.7552e+05***

−863290***

−764350***

 

(240,876.1994)

(819,586.8440)

(190630)

(225750)

(207470)

Lambda

  

0.320157***

 

0.210559*

   

(0.052533)

 

(0.093001)

rho

   

0.436734***

 
    

(0.062277)

 

R-squared

0.5274

    

LM Test (lag)

2.3287

    

Robust LM Test (lag)

5.9633**

    

LM Test (error)

0.90077

    

Robust LM Test (error)

4.5353**

    
  1. Standard errors (robust) in parentheses.
  2. The variables that do not appear in the table do not show statistical significance.
  3. Source: Author’s elaboration.
  4. ***p < 0.01; **p < 0.05; *p < 0.1.