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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.