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

Agricultural and Food Economics

Table 3 Results of farm size Multivariate Tobit regressions

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)

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.