Technology Spillover Perception and Knowledge Network Trap in Cross-Industry Innovation: An Empirical Examination from Unmanned Aerial Vehicle (UAV)

Table 2

Summary statistics and correlation matrix of variables.

Variables	Flat period (2006-2010)
	Mean	Std. dev.	1	2	3	4	5	6	7
1. CIP	0.885	0.117	1
2. EP	0.628	0.725	0.101	1
3. TL	0.098	0.223	-0.295	-0.347	1
4. CTSP-Width	0.297	0.291	0.649	0.358	-0.343	1
5. CTSP-Depth	0.222	0.246	0.324	-0.056	0.230	0.371	1
6. KC	0.082	0.176	0.044	-0.020	-0.102	0.023	-0.037	1
7. KP	0.275	0.300	0.076	-0.237	0.452	0.200	0.565	-0.066	1
Variables	Low-speed climbing period (2011-2015)
	Mean	Std. dev.	1	2	3	4	5	6	7
1. CIP	0.671	0.236	1
2. EP	0.640	0.629	-0.318	1
3. TL	0.118	0.152	0.076	-0.260	1
4. CTSP-Width	0.147	0.170	0.254	-0.087	-0.397	1
5. CTSP-Depth	0.227	0.249	0.420	-0.317	0.287	0.218	1
6. KC	0.058	0.129	0.276	-0.199	-0.173	0.705	0.130	1
7. KP	0.264	0.182	0.151	-0.091	0.163	-0.023	0.447	-0.205	1
Variables	High-speed growing period (2016-2020)
	Mean	Std. dev.	1	2	3	4	5	6	7
1. CIP	0.633	0.133	1
2. EP	0.625	0.624	-0.615	1
3. TL	0.126	0.156	-0.098	0.150	1
4. CTSP-Width	0.202	0.203	0.402	-0.363	-0.483	1
5. CTSP-Depth	0.148	0.178	0.607	-0.530	-0.202	0.618	1
6. KC	0.284	0.209	0.454	-0.272	-0.268	0.579	0.490	1
7. KP	0.201	0.152	0.231	-0.315	0.009	0.156	0.420	0.246	1

and suggest that correlation coefficients are significant at 1% (2-tailed) and 5% (2-tailed), respectively.