[Retracted] Spatial Pattern Evolution and Influencing Factors on Industrial Agglomeration: Evidence from Pearl River Delta Urban Agglomeration

Table 6

Decomposition of short-term influencing factors of industrial agglomeration in Pearl River Delta urban agglomeration.

	(1)	(2)	(3)	(4)
	Manufacturing	Producer services	Consumer services	Foreign-invested industries
Short-term direct impact
Economic scale	0.695	0.168	0.0522	−0.00801
	(4.18)	(2.24)	(0.91)	(−0.09)
Transport facilities	−0.0713	−0.0350	0.0434	−0.0915
	(−1.11)	(−0.95)	(1.14)	(−2.08)
Government intervention	−0.0276	0.103	−0.0236	0.0104
	(−0.26)	(1.89)	(−0.53)	(0.16)
Opening up	0.109	−0.0550	−0.0972	0.114
	(2.94)	(−2.43)	(−5.89)	(3.22)
Regional innovation	0.0545	0.0344	−0.00406	0.0195
	(1.41)	(1.89)	(−0.15)	(0.57)
Urban environment	0.358	0.116	0.0905	−0.0898
	(2.31)	(1.86)	(1.65)	(−0.99)
Short-term indirect impact
Economic scale	1.220	0.304	0.527	−0.00600
	(2.18)	(1.25)	(2.81)	(−0.02)
Transport facilities	0.885	0.521	0.896	−0.208
	(3.64)	(3.41)	(7.21)	(−1.21)
Government intervention	2.306	0.897	0.961	0.210
	(5.13)	(3.50)	(6.55)	(0.70)
Opening up	0.409	−0.0596	−0.0373	0.256
	(2.99)	(−1.01)	(−0.87)	(2.57)
Regional innovation	0.113	0.0282	−0.0551	0.0615
	(0.92)	(−0.64)	(−0.76)	(0.65)
Urban environment	2.780	0.328	0.985	0.265
	(4.16)	(1.67)	(6.53)	(1.04)
Total short-term impact
Economic scale	1.916	0.472	0.579	−0.0140
	(2.73)	(1.57)	(2.73)	(−0.04)
Transport facilities	0.814	0.486	0.939	−0.299
	(2.88)	(2.95)	(6.30)	(−1.67)
Government intervention	2.278	1.000	0.937	0.220
	(4.26)	(3.39)	(5.30)	(0.64)
Opening up	0.517	−0.115	−0.135	0.369
	(3.19)	(−1.60)	(−2.69)	(3.01)
Regional innovation	0.168	0.0626	−0.0592	0.0811
	(1.17)	(1.31)	(−0.72)	(0.76)
Urban environment	3.139	0.444	1.076	0.175
	(3.91)	(1.95)	(5.80)	(0.57)

^∗, ^∗∗, and ^∗∗∗indicate significance at 10%, 5% and 1% levels, respectively. The values in parentheses are t-statistics.