Table 5 Spatial spill-over effect regression results.

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

 

(13)

(14)

(15)

SDM

SAR

SLM

\(du \times dt\)

0.0327*** (0.0092)

0.0229*** (0.0085)

0.0248*** (0.0078)

LnFE

0.0659*** (0.0156)

0.0262* (0.0148)

0.0598*** (0.0138)

LnIND

0.0108* (0.0066)

0.0121** (0.0061)

0.0090* (0.0056)

LnPGDP

0.4354*** (0.0299)

0.0841*** (0.0122)

0.3171*** (0.0271)

LnURBAN

− 0.0579*** (0.0221)

− 0.0340* (0.0205)

− 0.0344* (0.0187)

LnFDI

0.0212*** (0.0031)

0.0177*** (0.0022)

0.0123*** (0.0021)

LnTI

0.0266*** (0.0079)

0.0221*** (0.0071)

0.0178*** (0.0067)

\(\rho\)/\(\gamma\)

0.7115*** (0.0463)

0.5793*** (0.0502)

0.8798*** (0.0251)

\({\delta }^{2}\)

0.0113*** (0.0003)

0.0098*** (0.0002)

0.0081*** (0.0002)

Log-likelihood

2902.0678

3162.7401

3473.7738

Observations

3540

3540

3540

\(R^{2}\)

0.1390

0.1504

0.1401

  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.