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The Journal of Chinese Sociology

Table 2 Land and education level of rural children

From: Land endowment and education investment behavior of rural households: a field survey based on 887 administrative villages in 31 provinces of China

 

Model 1 with income uncontrolled

Model 2 with household background

Model 3 with dummy variable of province

Model 4 with income controlled

B

Exp(B)

B

Exp(B)

B

Exp(B)

B

Exp(B)

Acreage of land endowment (logarithm)

− .081*** (.027)

.922

− .0835*** (.026)

.920

− .062** (.027)

.940

− .057** (.027)

.944

Demographic variables of child

 Gender

.175*** (.064)

1.191

.177*** (.064)

1.194

.175*** (.064)

1.191

.177*** (.064)

1.193

 Age

.003 (.009)

1.003

.003 (.009)

1.003

.001 (.009)

1.001

− .002(.009)

− .033

Demographic variables of household

Income per capita (logarithm)

      

.104** (.040)

1.110

 Male proportion

− .077 (.147)

.926

− .049 (.148)

.952

− .014 (.148)

.986

− .011 (.150)

.989

 Household size

.110*** (.025)

1.116

.083*** (.025)

1.087

.103*** (.025)

1.109

.113*** (.026)

1.120

 Over-60 proportion

− .176 (.185)

.839

− .194 (.185)

0.824

− .287 (.186)

.751

− .343* (.188)

.710

 Under-18 proportion

− 1.067*** (.195)

.344

− .997*** (.196)

0.369

− .975*** (.196)

.377

− .974*** (.199)

.378

 Migrant proportion

.912*** (.102)

2.489

.588*** (.117)

1.800

.525*** (.118)

1.691

.474*** (.120)

1.606

 Medicare insurance

− .145 (.118)

.865

− .180 (.118)

0.835

− .161 (.118)

− .851

−.155 (.118)

.856

Household background variables

 Parents’ average education

  

.035*** (.007)

1.036

.031*** (.007)

1.032

.031*** (.007)

1.031

 Managers and professionals

  

.355*** (.083)

1.426

.320*** (.083)

1.377

.314*** (.084)

1.369

 Commercial and business services

  

.313*** (.071)

1.368

.283*** (.071)

1.327

.279*** (.072)

1.321

Province

 Eastern

    

.291*** (.070)

1.338

.220*** (.075)

1.246

 Central

    

− .047 (.071)

.954

.068 (.072)

1.070

Obs

4198

 

4198

 

4198

 

4099

 

Pseudo R2

.012

 

.016

 

.018

 

.019

 

LM

155.64

 

205.84

 

233.33

 

230.68

 

LM logarithm

− 6303.367

 

− 6278.270

 

− 6264.522

 

− 6115.884

 
  1. Note: The figures in parentheses are standard errors. *p < 0.1, **p < 0.05, ***p < 0.01
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