Can Highway Networks Promote Productivity? Evidence from China

Table 12

Coefficient of all industry regression results.

Industry code	Industry name	Coefficient
13	Agricultural and sideline food processing	0.4106
14	Food manufacturing	0.2994
15	Beverage manufacturing	1.9326
16	Tobacco	0.6733
17	Textile	2.8247
18	Textile and garment, shoes, and hat manufacturing	0.1150
19	Leather, fur, feather (velvet), and its products	4.6027
20	Wood processing and wood, bamboo, rattan, palm, grass products	1.2559
21	Furniture manufacturing	3.7328
22	Paper and paper products	1.1905
23	Copying of the printing industry and recording media	0.7557
24	Culture and education, sporting goods manufacturing	3.5383
25	Petroleum processing, coking, and nuclear fuel processing industry	0.1794
26	Chemical raw materials and chemical products manufacturing	0.2868
27	Pharmaceutical manufacturing	−2.8564
28	Chemical fiber manufacturing	0.9784
29	Rubber products	2.3790
30	Plastic products	2.3786
31	Nonmetallic mineral products	0.9840
32	Ferrous metal smelting and rolling processing	1.8364
33	Nonferrous metal smelting and rolling processing	1.2547
34	Metal products	2.1132
35	General equipment manufacturing	2.3235
36	Special equipment manufacturing	3.0903
37	Transportation equipment manufacturing	2.5552
39	Electrical machinery and equipment manufacturing	1.8231
40	Communication equipment, computers, and other electronic equipment manufacturing	2.1443
41	Instrumentation and culture, office machinery manufacturing	0.4827
42	Crafts and other manufacturing	1.8220
43	Plastic products industry	2.0349