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Table 5 Regressions based on pooled data—56 ethnic groups as a single variable

From: China’s spatial (dis)integration as a multiethnic paradox: what do the interprovincial data say?

Explanatory variable

Coefficient (excl. year-fixed effects)

Coefficient (incl. year-fixed effects)

Constant

30.733a (1.840)

30.764a (1.839)

ln(GDP i GDP j )

0.865a (0.047)

0.862a (0.047)

ln(GDPPC i GDPPC j )

−1.131a (0.081)

−1.129a (0.081)

ln(DISTANCE ij )

−1.486a (0.095)

−1.450a (0.097)

ln(DISTANCE ij ) in 2010

−0.064b (0.031)

ADJACENT ij

0.429a (0.148)

0.466a (0.190)

ADJACENT ij in 2010

−0.065 (0.236)

ETHNIC56 ij

−1.694a (0.274)

−1.939a (0.313)

ETHNIC56 ij in 2010

0.487c (0.298)

PD

−0.587a (0.102)

−0.587a (0.101)

Coefficient of correlation (R2)

0.598

0.600

Standard error of regression

1.229

1.228

F statistic

225.620

151.267

Sig. of regression

0.000

0.000

Number of observations

856

856

  1. Dependent variable is the natural log of interprovincial trade. The variance inflation factors (VIFs) are all less than 2.5, which are not reported in the table. Figures within parentheses are standard errors
  2. a,b, andc”Denote statistically significant at greater than the 1, 5, and 10 % levels, respectively