World Regional Studies ›› 2021, Vol. 30 ›› Issue (6): 1241-1252.DOI: 10.3969/j.issn.1004-9479.2021.06.2020244
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Weihua YIN1,2(), Xiaoling CHEN2()
Received:
2020-04-28
Revised:
2020-09-24
Online:
2021-11-30
Published:
2022-01-07
Contact:
Xiaoling CHEN
通讯作者:
陈晓玲
作者简介:
殷为华(1973-),女,副教授,研究方向为经济地理和区域经济韧性,E-mail:whyin@re. ecnu. edu. cn。
基金资助:
Weihua YIN, Xiaoling CHEN. Study on spatial agglomeration and performance of electronic information manufacturing in the Yangtze River Delta Urban Agglomeration[J]. World Regional Studies, 2021, 30(6): 1241-1252.
殷为华, 陈晓玲. 长三角城市群电子信息制造业的空间集聚及生产绩效研究[J]. 世界地理研究, 2021, 30(6): 1241-1252.
参数 | 2004年 | 2007年 | 2010年 | 2013年 |
---|---|---|---|---|
规模以上企业数 | 3622 | 4477 | 6125 | 5903 |
就业人数 | 1283412 | 2285171 | 4609963 | 3994036 |
EG指数 | 0.0053 | 0.0099 | 0.0198 | 0.0077 |
Tab.1 EG index of electronic information manufacturing firms above the designated size in the Yangtze River Delta urban agglomeration
参数 | 2004年 | 2007年 | 2010年 | 2013年 |
---|---|---|---|---|
规模以上企业数 | 3622 | 4477 | 6125 | 5903 |
就业人数 | 1283412 | 2285171 | 4609963 | 3994036 |
EG指数 | 0.0053 | 0.0099 | 0.0198 | 0.0077 |
类型 | 缩写 | 名称 | 指标含义 |
---|---|---|---|
因变量 | JX | 生产绩效 | 电子信息制造企业生产总值与就业人数的比值 |
解释变量 | LOCAL | 地方化经济 | 城市电子信息制造企业生产总值 |
URBAN | 城市化经济 | 城市就业人口密度 | |
GOV | 政策支持 | 电子信息制造企业的政府补贴收入 | |
城市层面 控制变量 | AWAGE | 劳动力成本 | 城市平均工资 |
AGDP | 城市经济实力 | 城市人均生产总值 | |
FDI | 城市开放度 | 城市实际使用外资 | |
企业层面 控制变量 | EXP | 出口水平 | 电子信息制造企业出口交货值/销售值 |
R&D | 研发投入 | 电子信息制造企业的研发费用占工业总产值比重 | |
INECO | 内部规模经济 | 电子信息制造企业的总资产乘以从业人员数的平方根 |
Tab.2 Definition of variables in quantile regression model
类型 | 缩写 | 名称 | 指标含义 |
---|---|---|---|
因变量 | JX | 生产绩效 | 电子信息制造企业生产总值与就业人数的比值 |
解释变量 | LOCAL | 地方化经济 | 城市电子信息制造企业生产总值 |
URBAN | 城市化经济 | 城市就业人口密度 | |
GOV | 政策支持 | 电子信息制造企业的政府补贴收入 | |
城市层面 控制变量 | AWAGE | 劳动力成本 | 城市平均工资 |
AGDP | 城市经济实力 | 城市人均生产总值 | |
FDI | 城市开放度 | 城市实际使用外资 | |
企业层面 控制变量 | EXP | 出口水平 | 电子信息制造企业出口交货值/销售值 |
R&D | 研发投入 | 电子信息制造企业的研发费用占工业总产值比重 | |
INECO | 内部规模经济 | 电子信息制造企业的总资产乘以从业人员数的平方根 |
变量 | 2007年 | 2013年 | ||||
---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型5 | 模型6 | 模型7 | |
q=0.1 | q=0.5 | q=0.9 | q=0.1 | q=0.5 | q=0.9 | |
LOCAL | -1.13e-07* | -7.82e-07*** | -3.09e-06*** | 0.0001 | 0.0000 | 0.0056* |
(6.02e-8) | (1.57e-07) | (1.03e-06) | (0.0001) | (0.0004) | (0.0031) | |
URBAN | -0.0074 | 0.0411 | 0.3784* | 0.0122 | 0.3946 | 0.8621* |
(0.0118) | (0.0307) | (0.2019) | (0.0133) | (0.0510) | (0.4558) | |
GOV | 0.0052*** | 0.1472*** | 0.1091*** | 0.0044*** | 0.0069*** | 0.1182*** |
(0.0002) | (0.0005) | (0.0035) | (0.0001) | (0.0004) | (0.0036) | |
AGDP | -0.0009*** | -0.0004 | -0.0008 | -0.0004*** | 0.0004 | -0.0043 |
(0.0003) | (0.0007) | (0.0049) | (0.0002) | (0.0006) | (0.0053) | |
FDI | 1.4321*** | 6.6080*** | 26.5960*** | -0.0000 | -0.0000 | -0.0011* |
(0.5039) | (1.3125) | (8.6275) | (0.0000) | (0.0001) | (0.0005) | |
AWAGE | 0.0020** | -0.0001 | -0.0113 | 0.0004 | -0.0078*** | -0.0308 |
(0.0009) | (0.0023) | (0.0150) | (0.0006) | (0.0021) | (0.0190) | |
EXP | -13.9267** | -43.0590*** | -24.9109 | 10.1073** | 18.4958 | -207.2384 |
(6.4145) | (16.7087) | (109.8301) | (4.4480) | (17.1051) | (152.9212) | |
R&D | -52.7829 | -181.1082 | -613.5128 | -0.2928** | -0.3348 | -1.5203 |
(91.912) | (239.4146) | (1573.729) | (0.1438) | (0.5530) | (4.9435) | |
INECO | 1.86e-07*** | 2.10e-06*** | 8.38e-06*** | 2.50e-07*** | 1.24e-06*** | 9.14e-06*** |
(3.04e-08) | (7.92e-08) | (5.21e-07) | (8.78e-09) | (3.38e-08) | (3.02e-07) | |
F | 85.18 | 193.98 | 37.50 | 330.11 | 211.39 | 258.74 |
(0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | |
Pseudo R2 | 0.0077 | 0.0258 | 0.0555 | 0.0045 | 0.0092 | 0.0152 |
变量 | 2007年 | 2013年 | ||||
---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型5 | 模型6 | 模型7 | |
q=0.1 | q=0.5 | q=0.9 | q=0.1 | q=0.5 | q=0.9 | |
LOCAL | -1.13e-07* | -7.82e-07*** | -3.09e-06*** | 0.0001 | 0.0000 | 0.0056* |
(6.02e-8) | (1.57e-07) | (1.03e-06) | (0.0001) | (0.0004) | (0.0031) | |
URBAN | -0.0074 | 0.0411 | 0.3784* | 0.0122 | 0.3946 | 0.8621* |
(0.0118) | (0.0307) | (0.2019) | (0.0133) | (0.0510) | (0.4558) | |
GOV | 0.0052*** | 0.1472*** | 0.1091*** | 0.0044*** | 0.0069*** | 0.1182*** |
(0.0002) | (0.0005) | (0.0035) | (0.0001) | (0.0004) | (0.0036) | |
AGDP | -0.0009*** | -0.0004 | -0.0008 | -0.0004*** | 0.0004 | -0.0043 |
(0.0003) | (0.0007) | (0.0049) | (0.0002) | (0.0006) | (0.0053) | |
FDI | 1.4321*** | 6.6080*** | 26.5960*** | -0.0000 | -0.0000 | -0.0011* |
(0.5039) | (1.3125) | (8.6275) | (0.0000) | (0.0001) | (0.0005) | |
AWAGE | 0.0020** | -0.0001 | -0.0113 | 0.0004 | -0.0078*** | -0.0308 |
(0.0009) | (0.0023) | (0.0150) | (0.0006) | (0.0021) | (0.0190) | |
EXP | -13.9267** | -43.0590*** | -24.9109 | 10.1073** | 18.4958 | -207.2384 |
(6.4145) | (16.7087) | (109.8301) | (4.4480) | (17.1051) | (152.9212) | |
R&D | -52.7829 | -181.1082 | -613.5128 | -0.2928** | -0.3348 | -1.5203 |
(91.912) | (239.4146) | (1573.729) | (0.1438) | (0.5530) | (4.9435) | |
INECO | 1.86e-07*** | 2.10e-06*** | 8.38e-06*** | 2.50e-07*** | 1.24e-06*** | 9.14e-06*** |
(3.04e-08) | (7.92e-08) | (5.21e-07) | (8.78e-09) | (3.38e-08) | (3.02e-07) | |
F | 85.18 | 193.98 | 37.50 | 330.11 | 211.39 | 258.74 |
(0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | |
Pseudo R2 | 0.0077 | 0.0258 | 0.0555 | 0.0045 | 0.0092 | 0.0152 |
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