Developing a Framework for Spatial Effects of Smart Cities Based on Spatial Econometrics

Table 3

Results of classical linear regression based on cross-section data in 2017.

Explanatory variable	Regression coefficients	Standard error	T statistics	value
β0	1.009878	0.07068253	1.828752	0.90880
LnEXP	0.2502343	0.1652885	1.930965	0.05712
LnPA	0.6714353	0.1660166	4.044386	0.00012
LnGDP	0.2199934	0.1764379	1.24686	0.21618
LnTEA	−0.4646746	0.1207545	−3.848095	0.00024
R-squared: 0.605558	Adjusted R-squared: 0.585330
Log likelihood: −78.6621	AIC: 167.324		SC: 181.418
Spatial dependence test
Test	Statistics		value
Moran’s I (error)	1.0157		0.30978
LM (lag)	3.1720		0.07491
Robust LM (lag)	3.9277		0.04750
LM (error)	0.4250		0.51446
Robust LM (error)	1.4032		0.27722
LM (SARMA)	4.3527		0.11345

Note. , , and indicate the significance test at 1%, 5%, and 10%, respectively.