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Table 2 Results of crop yield Multivariate Tobit regression

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 –22085.7*** (6979.3) –1164.1** (1294.1) –326.04*** (274.58) –1627.0*** (466.52) 6394.3 (3353.6)
Minimum temperature (°C) 1343.5*** (161.98) 37.157 (23.640) –33.917*** (8.2782) –14.726 (20.900) –598.40*** (144.27)
Maximum temperature (°C) –422.27*** (76.506) 9.4009 (10.171) 44.748*** (4.8346) 65.896*** (9.8528) 255.50*** (47.226)
Rainfall (mm) 6.7402*** (0.8432) 0.4223*** (0.1081) –0.2217*** (0.0387) –0.0365 (0.0932) –0.6704 (0.4607)
Household labor –0.3968 (63.653) 9.2969 (6.2705) 3.6002** (1.7373) 4.2471 (5.2064) 84.960*** (26.098)
Age of household head 12.709** (6.4873) –0.4100 (1.4013) –0.0065 (0.1929) –0.5743 (0.6322) 6.8758** (3.3654)
Female household head –47.711 (213.04) –21.759 (35.012) –19.482* (11.810) –82.135** (31.884) –370.89*** (140.82)
Education of household head 2.6794 (20.073) 2.0806 (3.5869) –1.7510* (0.9272) –1.1015 (2.4904) –15.585 (10.595)
Farm input 5.6789** (2.6433) 1.3230*** (0.4452) –0.2184*** (0.0834) 0.3579*** (0.1118) 0.1537 (0.5131)
  1. Notes: *** means significant at 1%, ** means significant at 5% and * means significant at 10%; the total number of observations = 2577; Wald chi2 (8) =111.34***; Log pseudo-likelihood = -31604170; the dependent variable is crop yield; and Figures in parenthesis are standard errors of regression estimates.