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Table 5 Results of quantile regression based on OLS estimates

From: Does distance matter in foreign direct investment sub-national location choice? Evidence from China

Y: ln(FDIijt + 1) Q(10%) Q(25%) Q(50%) Q(75%) Q(90%) Q(99%)
lnDISTijt 0.542*** (4.66) 0.642*** (7.98) 0.695*** (11.95) 0.763*** (12.66) 0.863*** (11.68) 0.991*** (7.19)
CULTij 1.890*** (5.18) 0.913*** (3.62) 0.483** (2.65) −0.0387 (− 0.20) − 0.420 (− 1.81) − 0.546 (− 1.26)
SIMIijt–1 −3.280*** (− 4.72) −2.375*** (− 4.94) − 2.078*** (− 5.98) −2.067*** (− 5.74) − 1.834*** (− 4.15) −1.253 (− 1.52)
lnPOPit–1 −0.017 (− 0.26) 0.034 (0.75) 0.088** (2.72) 0.082* (2.45) 0.068 (1.65) 0.000 (0.00)
lnPOPjt–1 0.861*** (5.86) 0.448*** (4.41) 0.148* (2.01) −0.0315 (− 0.41) −0.155 (− 1.66) −0.323 (− 1.86)
lnGDP_pcit–1 1.488*** (8.43) 1.596*** (13.06) 1.273*** (14.43) 1.204*** (13.16) 1.151*** (10.26) 1.385*** (6.62)
lnGDP_pcjt–1 −1.200*** (− 10.71) −1.148*** (− 14.79) −1.364*** (−24.33) −1.649*** (− 28.40) −1.752*** (− 24.58) −1.502*** (− 11.30)
RDit–1 2.948*** (5.60) 2.301*** (6.32) 2.210*** (8.40) 1.096*** (4.02) −0.134 (− 0.40) −0.497 (− 0.80)
BAjt–1 0.214 (0.99) 0.330* (2.22) 0.624*** (5.80) 0.683*** (6.13) 0.861*** (6.29) 0.809** (3.17)
Observation 3109 3109 3109 3109 3109 3109
  1. Notes. The t statistics are in parentheses * p < 0.1, ** p < 0.05, *** p < 0.01