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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.