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Table 2 Statistical summary of dependent variables for the Poisson and the multivariate probit models

From: Socio-economic factors influencing the adoption of low carbon technologies under rice production systems in China

Variable

Description

Expected sign

Mean

SE

Dependent variable

 New rice varieties

Practice is implemented (1 = yes, 0 = no or not sure)

 

0.28

0.45

 Conservation tillage

Practice is implemented (1 = yes, 0 = no or not sure)

 

0.17

0.38

 Optimizing fertilizer management

Practice is implemented (1 = yes, 0 = no or not sure)

 

0.37

0.48

 Water-saving irrigation

Practice is implemented (1 = yes, 0 = no or not sure)

 

0.57

0.49

 Pesticide reduction technology

Practice is implemented (1 = yes, 0 = no or not sure)

 

0.50

0.50

 Planting green manure in winter season

Practice is implemented (1 = yes, 0 = no or not sure)

 

0.46

0.50

 Planting-breeding technology

Practice is implemented (1 = yes, 0 = no or not sure)

 

0.31

0.46

 Low carbon technologies

Adoption intensity of low carbon technologies (taking on values from 0 to 7)

 

2.66

1.36

Independent Variable

 Farmer characteristics

  Gender

1 if the farmer is male; 0 otherwise

 + 

0.91

0.29

  Age

Age of the farmers (years)

 ± 

49.74

8.81

  Education

Farmer having a formal education (no = 0, primary school = 6, junior high school = 9, senior high school = 12, university = 16)

 + 

6.39

4.01

  Experience

Years of rice farming experience of the farmer

 + 

18.86

10.54

  Household size

Number of family members

 + 

4.34

1.26

Farmer behavior

 Climate change awareness

1 if the farmer realize climate change; 0 otherwise

 + 

0.47

0.50

 Low carbon agriculture awareness

1 if the farmer realize low carbon agriculture; 0 otherwise

 + 

0.33

0.47

 Risk aversion

1 if the farmer practices crop diversification; 0 otherwise

 + 

0.35

0.48

Field characteristics

 Farm income ratio

Income ratio from rice farming of total income (1 = 0–24%; 2 = 25–49%; 3 = 50–74%; 4 = 75–100%)

2.41

1.12

 Farm size

Total rice area planted in hectares

 + 

3.99

2.47

 Machinery ownership

1 if the farmer owns any tractor or harvester; 0 otherwise

 + 

0.37

0.48

 Soil fertility deficiency

1 if the farmer’s field is nutrient deficient; 0 otherwise

0.61

0.49

 Sufficient water irrigation

1 if the farmer has an adequate source of water for irrigation; 0 otherwise

 + 

0.66

0.47

External environment

 Credit access

1 if the farmer has access to credit; 0 otherwise

 + 

0.44

0.50

 Technical support

1 if the farmer get technical support; 0 otherwise

 + 

0.33

0.47

 Subsidies

1 if farm subsidy received by implementing mitigation practices; 0 otherwise

 + 

0.61

0.49

  1. The independent variables are the same across all models (n = 555)
  2. “+” represents the expected positive effect, “−“ represents the expected negative effects, “ ± ” expected the impact uncertain