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5 替换被解释变量的检验结果
Tab. 5 Regression results of using employment density to measure producer services agglomeration
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 HS R it -0.1956**
(-2.31)
-0.1885**
(-2.41)
-0.2342
(-1.30)
0.2911**
(2.54)
-0.5011*
(-1.73)
0.1357
(0.88)
yea r it 0.0260
(0.88)
0.0040
(0.14)
-0.0387
(-0.62)
0.0342
(0.85)
0.2833***
(2.79)
-0.0551
(-1.03)
treate d it *yea r it 0.0261
(0.83)
0.0083
(0.29)
-0.0264
(-0.40)
-0.1138***
(-2.68)
-0.1438
(-1.34)
-0.1117**
(-2.07)
HS R it *yea r it 0.1787**
(2.05)
0.2347***
(2.92)
0.2449
(1.32)
-0.2181*
(-1.84)
0.4501
(1.50)
-0.2067
(-1.31)
HS R it *treate d it 0.2085**
(2.41)
0.1859**
(2.33)
0.1691
(0.92)
-0.3341***
(-2.85)
0.5694*
(1.92)
-0.2846*
(-1.82)
DID -0.1909**
(-2.14)
-0.2297***
(-2.78)
-0.1800
(-0.95)
0.2627**
(2.16)
-0.5258*
(-1.71)
0.3544**
(2.19)
Year yes yes yes yes yes yes
City yes yes yes yes yes yes
N 192 192 192 192 192 192
R 2 within 0.4655 0.8267 0.6563 0.6570 0.5546 0.7208
三产主导型城市 HS R it 0.0921*
(1.66)
0.1890**
(2.05)
-0.1277
(-0.92)
-0.0773
(-0.89)
-0.1338
(-0.94)
0.1001
(1.10)
yea r it 0.0056
(0.17)
0.0584
(1.03)
0.0100
(0.12)
-0.0545
(-1.07)
0.0538
(0.65)
-0.1411***
(-2.65)
treate d it *yea r it -0.0140
(-0.46)
-0.1986***
(-3.75)
-0.0184
(-0.24)
-0.2587***
(-5.47)
-0.0159
(-0.20)
0.0521
(1.05)
HS R it *yea r it -0.1211**
(-2.06)
-0.1951*
(-1.90)
0.2546*
(1.73)
0.0338
(0.37)
0.2398
(1.59)
-0.1978**
(-2.05)
HS R it *treate d it -0.1106**
(-2.05)
-0.2787***
(-2.79)
0.1632
(1.14)
-0.1188
(-1.33)
0.1956
(1.34)
-0.1358
(-1.45)
DID 0.1419**
(2.29)
0.2851***
(2.63)
-0.2863*
(-1.84)
0.1611*
(1.67)
-0.2998*
(-1.89)
0.2352**
(2.32)
Year yes yes yes yes yes yes
City yes yes yes yes yes yes
N 224 224 224 224 224 224
R 2 within 0.7875 0.5342 0.5211 0.7363 0.5036 0.7788