Table 4 PSM-DID regression.

From: Government intervention, industrial structure, and energy eco-efficiency: an empirical research on new energy demonstration in cities

 

PSM-DID

(9)

(10)

(11)

(12)

\(du \times dt\)

0.0528*** (0.0204)

0.0499*** (0.0174)

0.0419*** (0.0147)

0.0260*** (0.0078)

\(du\)

− 1.1862*** (0.0881)

− 1.1830*** (0.0757)

− 0.9287*** (0.0657)

− 0.3398*** (0.0357)

\(dt\)

0.2661*** (0.0221)

0.1950*** (0.0237)

0.1609*** (0.0203)

− 0.3372*** (0.0352)

LnFE

 

0.0837*** (0.0310)

0.0796*** (0.0257)

0.0504*** (0.0130)

LnIND

  

0.0189* (0.0106)

0.0091* (0.0057)

LnPGDP

   

0.3441*** (0.0262)

LnURBAN

   

− 0.0415** (0.0188)

LnFDI

   

0.0114*** (0.0021)

LnTI

   

0.0172*** (0.0065)

Constant

− 0.8244*** (0.0627)

− 0.5873*** (0.0930)

− 0.5813*** (0.0789)

− 3.6564*** (0.2487)

Year fixed effects

Yes

Yes

Yes

Yes

City fixed effects

Yes

Yes

Yes

Yes

Observations

3528

3528

3528

3528

\(R^{2}\)

0.6524

0.7042

0.7402

0.7637

  1. The values in parentheses refer to the standard error values of the regression coefficients; ***, **, and * refer to the significance levels of 1%, 5%, and 10%, respectively.
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