基于城市产业结构特征的高铁生产性服务业集散效应——以长三角城市群为例
唐昭沛, 吴威, 郭嘉颖, 刘玮辰, 李晓丽

The dispersion and aggregation effects of urban industrial structure of high-speed rail on producer services: A case study of Yangtze River Delta
TANG Zhaopei, WU Wei, GUO Jiaying, LIU Weichen, LI Xiaoli
表4 高铁对生产性服务业及细分行业的动态效应
Tab. 4 The dynamic effects of high-speed rail on producer services and its sub-sectors
生产性服务业 运输服务业 信息服务业 金融服务业 租赁与商服业 研发设计业
(1) (2) (3) (4) (5) (6)
二产主导型城市 treate d i 2009 *yea r i 2009 0.0031
(0.06)		 0.0133
(0.16)		 0.0610
(0.66)		 0.0121
(0.22)		 -0.0498
(-0.40)		 -0.0113
(-0.16)
treate d i 2010 *yea r i 2010 -0.0107
(-0.38)		 0.0057
(0.12)		 -0.0072
(-0.13)		 -0.0062
(-0.19)		 -0.1093
(-1.50)		 0.0109
(0.26)
treate d i 2011 *yea r i 2011 0.0549**
(2.21)		 0.0528
(1.24)		 0.0377
(0.79)		 0.0628**
(2.23)		 -0.1383**
(-2.16)		 0.0723*
(1.95)
treate d i 2012 *yea r i 2012 0.0470*
(1.87)		 0.0329
(0.76)		 0.0475
(0.98)		 0.0563**
(1.98)		 -0.0952
(-1.47)		 0.0858**
(2.29)
treate d i 2013 * yea r i 2013 0.0137
(0.60)		 -0.0345
(-0.88)		 0.0443
(1.01)		 0.0463*
(1.79)		 -0.0396
(-0.67)		 0.0848**
(2.49)
treate d i 2014 *yea r i 2014 -0.0380
(-1.64)		 -0.1317***
(-3.31)		 -0.0051
(-0.11)		 0.0213
(0.81)		 -0.0603
(-1.01)		 0.0785**
(2.27)
treate d i 2015 *yea r i 2015 -0.0357*
(-1.68)		 -0.0681**
(-2.06)		 0.0098
(0.27)		 0.0110
(0.50)		 -0.0285
(-0.59)		 0.0156
(0.54)
treate d i 2016 *yea r i 2016 -0.0466**
(-2.37)		 -0.0704**
(-2.09)		 -0.0140
(-0.37)		 0.0244
(1.10)		 -0.0267
(-0.54)		 0.0003
(0.01)
treate d i 2017 *yea r i 2017 -0.0457**
(-2.30)		 -0.0764**
(-2.24)		 -0.0219
(-0.57)		 0.0359
(1.60)		 -0.0104
(-0.21)		 0.0020
(0.07)
Year yes yes yes yes yes yes
City yes yes yes yes yes yes
N 192 192 192 192 192 192
R 2 within 0.2129 0.2322 0.2450 0.1853 0.2169 0.4071
三产主导型城市 treate d i 2008 *yea r i 2008 -0.0169
(-0.50)		 0.0041
(0.06)		 -0.2192*
(-1.72)		 -0.0160
(-0.27)		 0.0836
(0.66)		 -0.0479
(-0.57)
treate d i 2009 *yea r i 2009 0.0042
(0.18)		 -0.0261
(-0.53)		 -0.0199
(-0.23)		 -0.0118
(-0.29)		 0.0374
(0.44)		 -0.0212
(-0.36)
treate d i 2010 *yea r i 2010 0.0061
(0.47)		 0.0060
(0.21)		 0.0041
(0.08)		 0.0095
(0.41)		 -0.0415
(-0.84)		 -0.0193
(-0.57)
treate d i 2011 *yea r i 2011 0.0251*
(1.75)		 0.0099
(0.32)		 -0.0166
(-0.31)		 0.0222
(0.87)		 -0.0613
(-1.14)		 0.0269
(0.73)
treate d i 2012 *yea r i 2012 0.0389***
(2.83)		 0.0173
(0.58)		 -0.0243
(-0.47)		 0.0359
(1.47)		 -0.0024
(-0.05)		 0.0382
(1.06)
treate d i 2013 *yea r i 2013 0.0232
(0.18)		 0.0045
(0.16)		 -0.0638
(-1.29)		 0.0432**
(1.85)		 -0.0702
(-1.42)		 0.0500
(1.46)
treate d i 2014 *yea r i 2014 0.0231*
(1.79)		 -0.0073
(-0.26)		 0.0152
(0.32)		 0.0673***
(2.94)		 -0.1334***
(-2.77)		 0.0603*
(1.81)
treate d i 2015 *yea r i 2015 0.0286**
(2.15)		 -0.0277
(-0.96)		 0.0859*
(1.72)		 0.0770***
(3.27)		 -0.1051**
(-2.10)		 0.0643*
(1.86)
treate d i 2016 *yea r i 2016 0.0306**
(2.26)		 -0.0521*
(-1.76)		 0.1174**
(2.29)		 0.0849***
(3.53)		 -0.1058**
(-2.06)		 0.0627*
(1.76)
treate d i 2017 *yea r i 2017 0.0455***
(3.40)		 -0.0707**
(-2.42)		 0.1343***
(2.65)		 0.1007***
(4.24)		 -0.1455***
(-2.86)		 0.0722**
(2.06)
Year yes yes yes yes yes yes
City yes yes yes yes yes yes
N 224 224 224 224 224 224
R 2 within 0.2718 0.2228 0.3902 0.2398 0.2820 0.2134