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

Table 1

Patent information of 80 patentees.

Rank	Patentee	Number of patents	Proportion (%)	Rank	Patentee	Number of patents	Proportion (%)
1	Shen-n	3054	4.507	41	Chan-n	273	0.403
2	Djii-c	1891	2.791	42	Hebe-n	272	0.401
3	Guan-n	1658	2.447	43	Szai-c	271	0.4
4	Beij-n	1649	2.434	44	Hube-n	270	0.398
5	Shan-n	1385	2.044	45	Cetc-c	260	0.384
6	Boei-c	1125	1.66	46	Wuxi-n	249	0.367
7	Jian-n	1125	1.66	47	Dong-n	236	0.348
8	Sgcc-c	1020	1.505	48	Fosh-n	217	0.32
9	Chen-n	943	1.392	49	Zhen-n	217	0.32
10	Nanj-n	920	1.358	50	Qdgr-c	214	0.316
11	Chav-c	824	1.216	51	Hymr-c	213	0.314
12	Xian-n	775	1.144	52	Ibmc-c	213	0.314
13	Tian-n	736	1.086	53	Liao-n	211	0.311
14	Cspg-c	674	0.995	54	Smsu-c	206	0.304
15	Eads-c	579	0.854	55	Text-c	202	0.298
16	Sich-n	578	0.853	56	Rayt-c	200	0.295
17	Hena-n	560	0.826	57	Zhon-n	199	0.294
18	Zhej-n	512	0.756	58	Zhou-i	190	0.28
19	Zhan-i	491	0.725	59	Hefe-n	189	0.279
20	Unba-c	485	0.716	60	Xiam-n	188	0.277
21	Suzh-n	476	0.702	61	Prod-n	180	0.266
22	Anhu-n	475	0.701	62	Roro-c	176	0.26
23	Wang-i	443	0.654	63	Uyzh-c	174	0.257
24	Qing-n	441	0.651	64	Lock-c	168	0.248
25	Unwp-c	431	0.636	65	Ning-n	166	0.245
26	Caer-c	411	0.607	66	Qcom-c	164	0.242
27	Unua-c	403	0.595	67	Wama-c	155	0.229
28	Amaz-c	397	0.586	68	Gene-c	154	0.227
29	Hang-n	391	0.577	69	Shaa-n	154	0.227
30	Hone-c	385	0.568	70	Undt-c	154	0.227
31	Gzxt-c	360	0.531	71	Beit-c	153	0.226
32	Wuha-n	351	0.518	72	Itlc-c	153	0.226
33	Chon-n	346	0.511	73	Thls-c	148	0.218
34	Huna-n	339	0.5	74	Brax-c	146	0.215
35	Chen-i	334	0.493	75	Aero-n	145	0.214
36	Aute-n	330	0.487	76	Sony-c	141	0.208
37	Ewat-c	327	0.483	77	Uscg-c	140	0.207
38	Wuhu-n	311	0.459	78	Huan-i	139	0.205
39	Zhuh-n	301	0.444	79	Yunn-n	137	0.202
40	Yang-i	283	0.418	80	Glds-c	136	0.201