Table 8

Other outcomes of government subsidization

Dep. var. = NP (1)DVAR (2)QK (3)QF (4)
Panel A: results based on our baseline sample
TREAT ×POST0.0420*** (3.10)−0.0389*** (−2.62)−0.0760 (−0.60)−0.0321 (−0.49)
POST−0.0231* (−1.90)0.0088 (0.56)0.1564 (1.50)0.0807 (1.45)
Firm-level controlsYesYesYesYes
Year fixed effectsYesYesYesYes
Firm fixed effectsYesYesYesYes
N17,2186,80713,87313,873
Adjusted R20.7760.6590.7100.740
Panel B: matching all government subsidies regardless of the amount
SUBRATIO ×POST0.6299* (1.86)−1.0159*** (−3.62)−9.0183** (−2.45)−4.8141*** (−2.71)
POST0.0022 (0.34)0.0068 (0.90)0.0099 (0.18)0.0014 (0.05)
Firm-level controlsYesYesYesYes
Year fixed effectsYesYesYesYes
Firm fixed effectsYesYesYesYes
N42,22117,34732,64232,642
Adjusted R20.7820.7030.6880.722

Note(s): This table presents the effects of government subsidization on firms’ other outcomes. Specifically, we focus on the total number of export products (NP), Kee and Tang’s (2016) ratio of domestic value added in exports to gross exports (DVAR), Khandelwal’s (2010) product quality measure (QK) and Fan et al.’s (2015) estimated export product quality (QF). In Panel A, we present results based on our baseline sample. In Panel B, we match all government subsidies regardless of the amount and replace the treatment dummy (TREAT) with the subsidy ratio (SUBRATIO), calculated as the subsidy amount divided by annual sales. The model includes firm and year fixed effects and firm-level control variables. All continuous variables are winsorized at the 1st and 99th percentiles. Presented in the parentheses below each coefficient is the t-value based on standard errors clustered by firm. Constant terms are estimated but omitted for presentation. ***, ** and * represent statistical significance at the 1, 5 and 10% levels, respectively

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