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Table 2 Selected variables, scale of measurements and the data summary statistics

From: Impact of credit on the climate adaptation utilization among food crop farmers in Southwest, Nigeria: application of endogenous treatment Poisson regression model

Variable

Description and measurement scales

Mean

SD

Dependent

   

Credit status

Dummy: Credit constraint (CCT) = 0; Non-credit constraint (NCT) = 1

0.44

0.53

CAS

Discrete (count): The number of climate adaptation strategies (CAS) utilized by the farmer in the last season (0–12)

4.83

1.67

Independent (T)

   

Education

Continuous: Number of years spent in school (years)

6.05

3.98

Family size

Continuous: The number of people living and eating under the same roof

4.31

2.10

Gender

Dummy: Sex of the famer: 1 = male 0 = female

0.83

0.26

Experience

Continuous: The number of years of engaging in crop farming (years)

17.24

9.39

Age

Continuous: Age of the farmer (years)

44.37

11.01

Farm income

Continuous: Average income from the farm produce (Naira)

404,006.81

698,760.09

Non-farm income

Continuous: Average income from non-farm activities (Naira)

184,415.00

173,187.80

Extension

Continuous: The number of times being visited by the extension agents in the last production season

1.56

2.03

Farm size

Continuous: Land area cultivated for crop production in hectares (Ha)

3.98

6.38

Market distance

Continuous: Distance from house to the nearest market (kilometers)

4.56

3.49

Awareness of climate change

Dummy: 1 = aware; and 0, otherwise

0.93

0.26

Access to climate information

Dummy: 1 = access; and 0, otherwise

0.58

0.45

Perceived rainfall

Dummy: 1 = increase; and 0, otherwise

0.24

0.43

Perceived temperature

Dummy: 1 = increase; and 0, otherwise

0.77

0.40

Instrumental variable (IV)—“R” in Eq. (2)

   

Possession of collateral

Dummy: 1 = possessed collateral; and 0, otherwise

0.42

0.63

  1. 1USD = 415.4 Naira