Territorial Marketing Impacts on Foreign Direct Investment Attraction(Empirical Evidence in Nghe An Province, Vietnam)

Figures & data

Figure 1. Research Model.

Table 1. Reliability tests

No	Variables	Code	Alpha value	No.of items
1	Territorial product (Product)	Prod	0.795	4 (Remove Prod5)
2	Territorial location (Place)	Pla	0.782	3 (Remove Pla1)
3	Territorial Price (Price)	Pri	0.821	4
4	Territorial Promotion (Promotion)	Pro	0.827	5
5	Public attitudes and residents (Public)	Pub	0.843	6
6	Local Government (Power)	Pow	0.813	3 (Remove Pow1)

(Sources: SPSS 26.0)

Table 2. KMO and bartlett’s test

KMO and Bartlett’s Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.		.847
Bartlett’s Test of Sphericity	Approx. Chi-Square	1724.860
	df	276
	Sig.	.000

(Source: Retrieved from SPSS 26.0)

Table 3. Total variance explained

Component	Initial Eigenvalues			Extraction Sums of Squared Loadings			Rotation Sums of Squared Loadings
	Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %	Total	% of Variance	Cumulative %
1	7.327	30.527	30.527	7.327	30.527	30.527	3.077	12.820	12.820
2	2.507	10.446	40.973	2.507	10.446	40.973	2.816	11.733	24.554
3	1.966	8.192	49.165	1.966	8.192	49.165	2.796	11.652	36.205
4	1.622	6.758	55.924	1.622	6.758	55.924	2.549	10.621	46.826
5	1.266	5.274	61.198	1.266	5.274	61.198	2.333	9.720	56.547
6	1.183	4.928	66.126	1.183	4.928	66.126	2.299	9.579	66.126
7	.809	3.371	69.496
8	.733	3.054	72.550
9	.716	2.982	75.533
10	.689	2.871	78.404
11	.575	2.398	80.802
12	.520	2.168	82.970
13	.495	2.062	85.032
14	.473	1.969	87.002
15	.424	1.765	88.767
16	.401	1.672	90.439
17	.386	1.610	92.049
18	.363	1.512	93.561
19	.332	1.381	94.942
20	.324	1.349	96.291
21	.274	1.141	97.432
22	.250	1.041	98.473
23	.213	.889	99.362
24	.153	.638	100.000
Extraction Method: Principal Component Analysis.

(Source: Retrieved from SPSS 26.0)

Table 4. The second rotated component Matrix^a

Rotated Component Matrix^a
	Component
	1	2	3	4	5	6
Pub2	.762
Pub3	.716
Pub4	.689
Pub5	.676
Pub1	.657
Pro3		.771
Pro1		.753
Pro4		.711
Pro2		.677
Pro5		.472
Pri4			.796
Pri2			.793
Pri3			.744
Pri1			.721
Prod4				.816
Prod2				.755
Prod3				.751
Prod1				.709
Pow2					.839
Pow3					.773
Pow4					.705
Pla3						.811
Pla4						.808
Pla2						.723
Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.

(Retrieved from SPSS 26.0)

Table 5. Independent variables in regress model

No	Variables	Code	Indicators
1	Territorial product (Product)	Prod	Prod1, Prod 2, Prod3, Prod4
2	Territorial location (Place)	Pla	Pla2, Pla3, Pla4
3	Territorial Price (Price)	Pri	Pri1, Pri2, Pri3, Pri4
4	Territorial Promotion (Promotion)	Pro	Pro1, Pro2, Pro3, Pro4
5	Public attitudes and residents (Public)	Pub	Pub1, Pub2, Pub3, Pub4 Pub5
6	Local Government (Power)	Pow	Pow2, Pow3, Pow4

Table 6. Results of multiple regression analysis - ANOVA

ANOVA^a
Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	36.930	6	6.155	55.186	.000^b
	Residual	17.064	153	.112
	Total	53.994	159
a. Dependent Variable: Inv
b. Predictors: (Constant), Pro, Prod, Pow, Pri, Pla, Pub

Table 7. Model summary

Model Summary^b
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate	Durbin-Watson
1	.827^a	.684	.672	.33396	2.159
a. Predictors: (Constant), Pro, Prod, Pow, Pri, Pla, Pub
b. Dependent Variable: Inv

Table 8. Coefficients

Coefficients^a
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.	Collinearity Statistics
		B	Std. Error	Beta			Tolerance	VIF
1	(Constant)	−.270	.228		−1.187	.237
	Pow	.107	.042	.145	2.572	.011	.652	1.534
	Prod	.301	.042	.364	7.165	.000	.800	1.250
	Pub	.188	.049	.222	3.804	.000	.606	1.651
	Pri	.201	.049	.213	4.066	.000	.753	1.327
	Pla	.123	.046	.142	2.684	.008	.740	1.351
	Pro	.124	.045	.155	2.772	.006	.658	1.520

a. Dependent Variable: Inv

Figure 2. Histogram