Research Article
Booming with Speed: High-Speed Rail and Regional Green Innovation
Table 8
IV estimation.
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Note: the estimation sample includes 285 prefecture level and above cities in China. The sample period is from 2005 to 2018. Dependent variables are indicated by column titles in italics. All control variables are included and lagged by one year. All regressions include city fixed effects and year fixed effects. Robust standard errors in parentheses are clustered at the city level. The symbols , , and indicate significance at the 1%, 5%, and 10% levels, respectively. We use the Kleibergen–Paap rk Wald F statistic to test for weak identification of the endogenous variables [101]. The critical value compiled by Stock and Yogo [102] is 16.38. Our results are also robust to the “rule of thumb” of Staiger and Stock [103], which requires the first-stage F statistic to be larger than 10. |