Table 11 Exchange rate elasticity of total import value with product heterogeneity.

From: The COVID-19 pandemics and import demand elasticities: evidence from China’s customs data

Monthly: 2019m1 to 2021m3

(1)

(2)

(3)

(4)

(5)

All trade modes (Y = Δ ln v)

Primary

Resource

Low-tech

Medium-tech

High-tech

Δ ln RER_CNY × Policy

−2.408*** (0.812)

−3.856*** (0.630)

−2.401* (1.187)

−3.806*** (0.650)

−3.482*** (0.470)

Δ ln RER_Comp

0.0980*** (0.015)

0.113*** (0.020)

0.110*** (0.013)

0.113*** (0.014)

0.138*** (0.015)

Δ ln RER_Comp × Policy

−2.408*** (0.812)

−3.856*** (0.630)

−2.401* (1.187)

−3.806*** (0.650)

−3.482*** (0.470)

Δ ln RER_Comp × HHI

−0.0253 (0.018)

−0.0211** (0.009)

−0.0194 (0.012)

−0.0202** (0.009)

−0.0526*** (0.011)

Constant

−0.103*** (0.030)

−0.113*** (0.015)

−0.142*** (0.016)

−0.0975*** (0.010)

−0.0824*** (0.010)

Controls

Yes

Yes

Yes

Yes

Yes

Province-time FE

Yes

Yes

Yes

Yes

Yes

Province-product-country FE

Yes

Yes

Yes

Yes

Yes

Time fixed effects

Yes

Yes

Yes

Yes

Yes

N

82160

289194

666605

780891

506739

R2

0.075

0.059

0.059

0.051

0.047

Prob > F-statistic

0.000

0.000

0.000

0.000

0.000

  1. Note: Product classification is based on Lall (2000). We employ the Chinese customs data on China’s imports, which contain information regarding different Asian countries’ exports to different Chinese provinces. An increase in ΔlnRER_Comp implies a real appreciation of competitors’ currencies, and an increase in ΔlnRER_CNY implies a real depreciation of RMB against that one Asian trading partner’s currency (bilateral). A larger HHI implies a higher degree of market concentration for Asian economies in exporting to China. *, **, *** indicate variables significant at 10%, 5%, and 1% level respectively. Clustered standard errors at provincial level are reported in parenthesis.