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Table 3 Results of farm size Multivariate Tobit regressions

From: Crop substitution behavior among food crop farmers in Ghana: an efficient adaptation to climate change or costly stagnation in traditional agricultural production system?

Variables Cassava Maize Sorghum Rice Yam
Intercept –3.6388** (2.6345) –1.635921 (3.686328) –7.7645** (5.1367) –2.9370** (1.6151) 2.058012 (1.6034)
Minimum temperature (°C) 0.4814*** (0.0934) 0.0620 (0.0736) –0.3945** (0.1789) –0.2093*** (0.0734) –0.2440*** (0.0764)
Maximum temperature (°C) –0.2900 (0.0344) 0.0479* (0.0265) 0.6878*** (0.2135) 0.2567*** (0.0421) 0.1332*** (0.0361)
Rainfall (cm) 0.0026*** (0.0005) 0.0003 (0.0003) –0.0032*** (0.0011) –0.0003 (0.0003) –0.0002 (0.0003)
Cassava price 0.1497 (0.1701) 0.4618* (0.2478) –4.7550* (2.6651) 0.5283 (0.3677) –1.1822* (0.6329)
Maize price 0.0607*** (0.0191) –0.0681*** (0.0216) –0.7577 (0.3776) –0.0871** (0.0403) –0.0578 (0.0426)
Sorghum price 0.0143 (0.0888) –0.0868 (0.0788) 0.8904** (0.4143) –0.1247* (0.0687) 0.2969*** (0.0641)
Rice price 0.0516 (0.0456) –0.0479 (0.0381) –0.3624 (0.3054) 0.1058*** (0.0357) –0.0329 (0.0501)
Yam price –0.0763 (0.0813) –0.0834 (0.1046) –0.3765 (0.3321) 0.1140 (0.0715) –0.1982 (0.2084)
  1. Notes: *** means significant at 1%, ** means significant at 5% and * means significant at 10%; the total number of observations = 2572; Wald chi2 (8) = 97.98***; Log pseudo-likelihood = -10301403; the dependent variable is farm size; and Figures in parenthesis are standard errors of regression estimates.