From: Does contract farming affect technical efficiency? Evidence from soybean farmers in Northern Ghana
Variables | Conventional SPF | Sample selection correction SPF | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Pooled | Contract farmers | Non-participants | Contract farmers | Non-participants | ||||||
Coeff. | Z-stat | Coeff. | Z-stat | Coeff. | Z-stat | Coeff. | Z-stat | Coeff. | Z-stat | |
Constant | 0.036 | 0.46 | − 0.116 | − 0.96 | 0.127 | 1.24 | − 0.299** | − 2.11 | − 0.014 | − 0.12 |
Labor | 0.290*** | 4.77 | 0.266*** | 2.73 | 0.318*** | 4.02 | 0.239** | 2.42 | 0.291** | 2.26 |
Fertilizer | 0.041*** | 3.27 | 0.053*** | 2.65 | 0.030* | 1.94 | 0.057** | 2.31 | 0.027 | 1.37 |
Seed | 0.567*** | 3.71 | 0.509** | 2.04 | 0.630*** | 3.20 | 0.567*** | 2.75 | 0.644** | 2.16 |
Herbicide | − 0.143*** | − 3.47 | -0.206*** | − 2.93 | − 0.136*** | − 2.67 | − 0.211*** | − 3.10 | − 0.128** | − 1.96 |
Labor2 | 0.218*** | 4.02 | 0.289*** | 3.00 | 0.194*** | 2.86 | 0.258*** | 2.60 | 0.196** | 2.45 |
Fertilizer2 | 0.001* | 1.85 | 0.001 | 1.38 | 0.001 | 1.26 | 0.002* | 1.77 | 0.001 | 0.96 |
Herbicide2 | − 0.024*** | − 2.64 | − 0.021 | − 1.13 | − 0.025** | − 2.35 | − 0.020 | − 1.25 | − 0.028*** | − 2.66 |
Seed2 | 0.025 | 0.48 | 0.150 | 1.49 | − 0.007 | − 0.11 | 0.148 | 1.45 | − 0.029 | − 0.36 |
Labor × Fertilizer | − 0.012 | − 1.57 | − 0.015 | − 1.24 | − 0.008 | − 0.89 | − 0.016 | − 1.41 | − 0.010 | − 0.94 |
Labor × Herbicide | − 0.020 | − 1.05 | − 0.049 | − 1.49 | − 0.002 | − 0.09 | − 0.042 | − 1.39 | − 0.010 | − 0.35 |
Labor × Seed | − 0.216*** | − 3.26 | − 0.164* | − 1.70 | − 0.239** | − 2.48 | − 0.173 | − 1.48 | − 0.254* | − 1.80 |
Fertilizer × Herbicide | − 0.001 | − 0.55 | − 0.002 | − 0.52 | − 0.002 | − 0.47 | − 0.002 | − 0.56 | − 0.001 | − 0.39 |
Fertilizer × Seed | − 0.005 | − 0.92 | − 0.011 | − 1.25 | − 0.002 | − 0.27 | − 0.011 | − 0.89 | − 0.001 | − 0.13 |
Herbicide × Seed | 0.033 | 0.64 | − 0.053 | − 0.50 | 0.048 | 0.80 | − 0.064 | -0.69 | 0.073 | 1.06 |
Power Tillage | 0.089** | 2.20 | 0.169*** | 2.93 | 0.028 | 0.48 | 0.163*** | 2.94 | 0.018 | 0.29 |
Bawku West District | 0.151** | 2.47 | 0.179* | 1.88 | 0.150* | 1.88 | 0.194** | 2.11 | 0.149 | 1.51 |
Nanumba South District | 0.211*** | 3.26 | 0.234** | 2.35 | 0.180** | 2.10 | 0.242*** | 2.63 | 0.167 | 1.53 |
Karaga District | 0.118* | 1.75 | 0.048 | 0.47 | 0.168* | 1.89 | 0.058 | 0.62 | 0.144 | 1.38 |
Variance | 0.504*** | 7.38 | 0.487*** | 4.86 | 0.517*** | 6.45 | Â | Â | Â | Â |
Lambda | 1.031*** | 8.9 | 0.863*** | 5.09 | 1.308*** | 7.47 | Â | Â | Â | Â |
Sigma (u) | Â | Â | Â | Â | Â | Â | 0.414*** | 4.51 | 0.537*** | 7.62 |
Sigma (v) | Â | Â | Â | Â | Â | Â | 0.377*** | 7.56 | 0.384*** | 10.66 |
Rho | Â | Â | Â | Â | Â | Â | 0.775*** | 2.63 | 0.925*** | 8.19 |
Log-likelihood ratio | -283.275 | Â | -126.887 | Â | -147.556 | Â | -317.068 | Â | -315.771 | Â |
Returns to scale (RTS) | 0.970 | Â | 0.748 | Â | 0.800 | Â | 0.732 | Â | 0.770 | Â |
No. of observations | 531 | Â | 235 | Â | Â | Â | 235 | Â | 296 | Â |