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Table 4 Regression results of β-convergence in three regions of China

From: The convergence of Chinese county government health expenditures: capitation and contribution

Delta Per GHE Western region Central region Eastern region
(1) (2) (3) (4) (1) (2) (3) (4) (1) (2) (3) (4)
Log GHE −0.0883c −0.2370c −0.3240c −0.5170c −0.1290c −0.2620c −0.4330c −0.6220c −0.0944c −0.2570c −0.3530c −0.5730c
(0.0086) (0.0145) (0.0154) (0.0242) (0.0146) (0.0231) (0.0260) (0.0319) (0.0091) (0.0175) (0.0175) (0.0286)
Log general revenue   −0.0012   0.0251   0.0381   0.2170c   0.0949c   0.1630c
  (0.0097)   (0.0193)   (0.0204)   (0.0390)   (0.0137)   (0.0240)
Log grants to county government   0.2200c   0.2870c   0.2040c   0.2680c   0.1780c   0.2500c
  (0.0149)   (0.0252)   (0.0269)   (0.0449)   (0.0169)   (0.0284)
Log Transfer to superior government   −0.0139c   0.0010   0.0027   −0.0291   −0.0485c   −0.0673c
  (0.0042)   (0.0069)   (0.0106)   (0.0152)   (0.0070)   (0.0130)
Population density   0.000001   0.000001   0.000001   0.000003   0.000002a   0.000007c
  0.0000   0.0000   0.0000   0.0000   0.0000   0.0000
Sex ratio   −0.0098   0.0012   −0.0051   0.1800   0.0003   0.2080
  (0.0114)   (0.0131)   (0.0136)   (0.1475)   (0.0083)   (0.1121)
Ratio of non-agriculture population   −0.0021   −0.1780c   −0.0135   −0.2390c   −0.0307a   −0.1980c
  (0.0123)   (0.0261)   (0.0153)   (0.0360)   (0.0123)   (0.0207)
Constant 0.2410c −0.1110b 0.8940c 0.4000c 0.2980c −0.1370a 1.0350c 0.0182 0.2430c −0.1460c 0.9100c 0.1230
(0.0137) (0.0349) (0.0234) (0.0602) (0.0206) (0.0632) (0.0342) (0.1859) (0.0143) (0.0376) (0.0261) (0.1345)
N 3156 3156 789 789 1988 1988 497 497 2620 2620 655 655
R-squared 0.0325 0.1017 0.3610 0.4950 0.0381 0.0707 0.3580 0.5098 0.0393 0.0988 0.3850 0.5450
  1. Each column represents a regression based on equation (3) in three regions. Column (1) and (2) tests the short-term β-convergence (k = 1), and Column (3) and (4) tests the long-term β-convergence (k = 4) in three regions. a, b, c is significant at 5 %, 1 %, 0.1 %, respectively. Standard error is in parentheses. Model (1) and (3) are estimated by univariate Ordinary Least Square (OLS) method. Model (2) and (4) are estimated by multivariate General Least Square (GLS) and OLS method, respectively (Stata software 11). GHE is the abbreviation of government health expenditure