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Table 5 Coal dependence and various government expenditures in Shanxi Province (continued, 2007)

From: Natural resources, rent dependence, and public goods provision in China: evidence from Shanxi’s county-level governments

 

Share of education expenditures

Share of social security and healthcare expenditures

Share of environmental protection expenditures

(5) OLS

(6) 2SLS

(7) OLS

(8) 2SLS

(9) OLS

(10) 2SLS

Coal Dependence Index

−0.017

−0.025**

−0.035**

−0.034**

−0.080**

−0.083**

(0.012)

(0.012)

(0.016)

(0.017)

(0.037)

(0.037)

GDP per capita

0.040

0.042

0.026

0.073

0.051

0.071

(0.042)

(0.041)

(0.081)

(0.083)

(0.142)

(0.141)

Transfer decency

0.096*

0.089*

0.273**

0.307**

−0.132

−0.122

(0.057)

(0.050)

(0.114)

(0.125)

(0.089)

(0.086)

Ratio of urbanization

−0.230***

−0.227***

−0.120

−0.088

0.312

0.300

(0.068)

(0.064)

(0.120)

(0.119)

(0.253)

(0.244)

Total population

0.243***

0.239***

0.170***

0.169***

−0.598***

−0.600***

(0.034)

(0.033)

(0.051)

(0.050)

(0.115)

(0.112)

Land area

0.035

0.046

0.033

0.046

0.293**

0.305**

(0.046)

(0.044)

(0.059)

(0.056)

(0.140)

(0.139)

County-level city

0.134*

0.130*

0.026

0.050

0.109

0.116

(0.079)

(0.075)

(0.098)

(0.096)

(0.253)

(0.242)

Number of students

0.244**

0.240**

    

(0.120)

(0.115)

    

Number of hospital beds

  

0.144**

0.139**

  
  

(0.064)

(0.061)

  

Constant

−1.872

−1.863

−1.534

−2.071

5.910**

5.671**

(1.192)

(1.123)

(1.504)

(1.537)

(2.290)

(2.242)

R square

0.4801

0.4774

0.3692

0.3649

0.2989

0.2987

Hansen J test p value

 

0.5686

 

0.7686

 

0.0642

Cragg-Donald Wald F

 

257.339

 

256.269

 

253.652

Hausman specification P

 

0.0464

 

0.0364

 

0.8909

  1. Note:(1) N = 96. Except for the administrative level dummy, all variables are in logarithms. Numbers in table are unstandardized coefficients. White’s heteroscedasticity-robust standard errors are in parentheses below the coefficients
  2. (2) *p < 0.10, **p < 0.05, ***p < 0.01