Table 6 The regression results for the 30 economic sectors in the gravity model.

No.	Sectors	β ₀	β ₁	β ₂	β ₃	R ²
1	Agriculture	−7.03	0.96	0.58	−1.17	0.56
2	Coal mining	2.99	0.31	0.46	−1.55	0.42
3	Petroleum and gas	0.10	0.18	0.22	−0.67	0.12
4	Metal mining	1.67	0.39	0.48	−1.22	0.43
5	Nonmetal mining	−3.09	0.38	0.75	−1.10	0.49
6	Food processing and tobacco	−7.48	0.94	0.60	−1.17	0.48
7	Textiles	−11.42	0.78	1.10	−0.86	0.83
8	Clothing, leather, fur, etc.	−7.29	0.83	0.67	−1.11	0.71
9	Wood processing and furnishing	−1.81	0.62	0.55	−1.12	0.56
10	Paper making, printing, stationery, etc.	−9.70	0.59	1.14	−1.13	0.52
11	Petroleum refining, coking, etc.	−12.13	0.67	1.07	−0.94	0.62
12	Chemical industry	−7.75	0.94	0.66	−1.07	0.73
13	Nonmetal products	−5.97	0.95	0.60	−1.30	0.55
14	Metallurgy	−14.60	0.71	1.31	−1.01	0.76
15	Metal products	−0.77	0.61	0.47	−1.27	0.67
16	General and specialist machinery	−8.58	0.69	0.90	−1.13	0.72
17	Transport equipment	−6.01	1.01	0.47	−1.28	0.75
18	Electrical equipment	−10.68	0.78	0.98	−1.20	0.74
19	Electronic equipment	−15.41	0.67	1.43	−1.20	0.67
20	Instrument and meter	1.51	0.54	0.28	−1.16	0.55
21	Other manufacturing	−12.01	0.69	1.11	−0.93	0.69
22	Electricity and hot water production and supply	10.89	0.20	0.18	−1.92	0.40
23	Gas and water production and supply	6.05	0.18	0.25	−1.29	0.43
24	Construction	9.55	0.06	0.05	−1.45	0.49
25	Transport and storage	−1.29	0.54	0.52	−0.95	0.63
26	Wholesale and retailing	1.12	0.41	0.36	−1.07	0.57
27	Hotel and restaurant	3.37	0.23	0.26	−0.99	0.45
28	Leasing and commercial services	5.02	0.39	0.22	−1.21	0.55
29	Scientific research	8.33	0.06	0.00	−1.25	0.43
30	Other services	−3.90	0.66	0.59	−0.94	0.79

β0, β1, β2, and β3 are regression coefficients. β1, β2 are weights assigned to the masses of origin and destination, respectively, and β₃ is the distance decay parameter. R² is the goodness of fit.

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