Table 5 Propensity scores models for formal rural credit.

From: Rural credit and new technology adoption among family farms: evidence from two demonstration areas in China

Variables

Wuhan

Langxi

 

Model 1

Model 2

Model 3

Model 4

Gender

0.4632 (0.74)

 

−0.4612 (−0.77)

 

Age

0.3910 (1.47)

 

−0.1867 (−0.83)

 

Education

0.1162 (0.44)

 

0.2117 (1.08)

 

Training Participation

0.8340 (1.61)

 

0.0120 (0.03)

 

Number of Labourers

0.2136 (1.2)

 

0.2399 (1.61)

 

Family fortunes

−0.5191 (−0.56)

 

−0.6218 (−0.75)

 

Technical Services

0.3140 (0.65)

 

0.1852 (0.49)

 

Subsidies

0.6224 (1.35)

 

0.9302*** (2.72)

0.9408*** (2.94)

Planting Type

−0.9477* (−1.72)

−1.0288** (−1.99)

−0.2549 (−0.42)

−0.2181 (−0.38)

Breeding Type

0.5267 (0.99)

0.271 (0.56)

−0.2079 (−0.30)

−0.1911 (−0.30)

Income to Expenditure Ratio

0.0975 (1.50)

 

−0.0081 (−0.27)

 

Operation Size

0.4382* (1.66)

0.5857*** (2.58)

0.4681* (1.88)

0.5358** (2.35)

Financial Regulation

−0.4665** (−1.96)

−0.4164* (−1.91)

−0.3187 (−1.57)

−0.3697** (−2.02)

Demonstration Farm

0.2629 (0.55)

 

0.6364* (1.85)

0.6428** (1.99)

Talent employment

0.1801 (0.38)

 

0.7423 (1.09)

 

Agricultural Insurance

1.1305** (2.49)

1.0975*** (2.73)

0.2118 (0.6)

 

Cooperative Membership

0.665 (1.63)

 

0.5797* (1.71)

0.6400** (2.00)

Village Cadre Position

−1.0498 (−0.88)

 

−0.6631 (−0.86)

 

Government/Finance Work

0.834 (1.20)

 

−0.2270 (−0.39)

 

Demonstration Effect

1.2545*** (3.25)

1.0017*** (3.19)

1.5220** (2.15)

1.3332** (2.02)

Constant term

−8.2176*** (−3.21)

−5.3940*** (−3.48)

−5.2880** (−2.22)

−4.6690** (−2.55)

Pseudo

0.226

0.15

0.19

0.161

  1. ***, **, and * indicate significance at 1%, 5% and 10% levels, respectively, with T statistics in brackets.
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