World Regional Studies ›› 2023, Vol. 32 ›› Issue (9): 120-132.DOI: 10.3969/j.issn.1004-9479.2023.09.2021473
Jie TAO(), Weidong CAO(), Juan WU
Received:
2021-06-22
Revised:
2021-11-04
Online:
2023-09-15
Published:
2023-09-25
Contact:
Weidong CAO
通讯作者:
曹卫东
作者简介:
陶杰(1996—),男,硕士研究生,研究方向为区域发展与城乡规划,E-mail:782721528@qq.com。
基金资助:
Jie TAO, Weidong CAO, Juan WU. Spatio-temporal development characteristics and driving effects of private listed enterprises in Yangtze River Delta[J]. World Regional Studies, 2023, 32(9): 120-132.
陶杰, 曹卫东, 吴娟. 长三角民营上市企业时空发展特征与驱动因素效应分异研究[J]. 世界地理研究, 2023, 32(9): 120-132.
Add to citation manager EndNote|Ris|BibTeX
URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2023.09.2021473
变量 | 年份 | |||
---|---|---|---|---|
2003 | 2008 | 2013 | 2018 | |
所属城市数 | 27 | 30 | 35 | 35 |
民营上市企业数 | 142 | 240 | 525 | 924 |
所属门类 | 13 | 14 | 17 | 15 |
行业大类 | 35 | 40 | 56 | 63 |
营业收入/亿元 | 1 483.00 | 4 729.01 | 14 302.02 | 38 395.78 |
分行业企业数变异系数 | 0.95 | 0.97 | 1.35 | 1.44 |
分行业企业营收变异系数 | 1.30 | 1.25 | 1.51 | 1.47 |
Tab.1 Descriptive statistics of private listed enterprises in Yangtze River Delta
变量 | 年份 | |||
---|---|---|---|---|
2003 | 2008 | 2013 | 2018 | |
所属城市数 | 27 | 30 | 35 | 35 |
民营上市企业数 | 142 | 240 | 525 | 924 |
所属门类 | 13 | 14 | 17 | 15 |
行业大类 | 35 | 40 | 56 | 63 |
营业收入/亿元 | 1 483.00 | 4 729.01 | 14 302.02 | 38 395.78 |
分行业企业数变异系数 | 0.95 | 0.97 | 1.35 | 1.44 |
分行业企业营收变异系数 | 1.30 | 1.25 | 1.51 | 1.47 |
年份 | 标准差椭圆参数 | ||||||
---|---|---|---|---|---|---|---|
中心点经度 | 中心点纬度 | 长轴标准差 | 短轴标准差 | 转角 /° | 周长/km | 面积/ km2 | |
2003 | 120.471 | 31.157 | 3.768 | 2.479 | 127.897 | 19.831 | 29.333 |
2008 | 120.431 | 30.886 | 3.799 | 2.570 | 139.472 | 20.195 | 30.670 |
2013 | 120.372 | 30.910 | 3.863 | 2.555 | 142.044 | 20.372 | 31.008 |
2018 | 120.378 | 30.879 | 3.739 | 2.460 | 140.685 | 19.684 | 28.900 |
Tab.2 Change of standard deviation elliptic parameters of PLE in the Yangtze River Delta region
年份 | 标准差椭圆参数 | ||||||
---|---|---|---|---|---|---|---|
中心点经度 | 中心点纬度 | 长轴标准差 | 短轴标准差 | 转角 /° | 周长/km | 面积/ km2 | |
2003 | 120.471 | 31.157 | 3.768 | 2.479 | 127.897 | 19.831 | 29.333 |
2008 | 120.431 | 30.886 | 3.799 | 2.570 | 139.472 | 20.195 | 30.670 |
2013 | 120.372 | 30.910 | 3.863 | 2.555 | 142.044 | 20.372 | 31.008 |
2018 | 120.378 | 30.879 | 3.739 | 2.460 | 140.685 | 19.684 | 28.900 |
变量 | 2003年 | 2018年 | ||||||
---|---|---|---|---|---|---|---|---|
系数 | t 统计量 | 概率 | VIF | 系数 | t 统计量 | 概率 | VIF | |
截距 | -0.0758 | -1.8504 | 0.0791 | — | -0.6568 | -3.6471 | 0.0011* | — |
OD | -1.0724 | -3.1735 | 0.0048* | 3.3492 | 0.8848 | 0.5343 | 0.5974 | 1.5340 |
MS | 0.0000 | 4.2891 | 0.0004* | 6.8746 | 0.0000 | 0.9276 | 0.3615 | 4.5431 |
TA | 0.1116 | 2.2483 | 0.0360* | 1.3566 | -0.0179 | -0.2255 | 0.8233 | 1.3952 |
UPE | 0.1919 | 2.8258 | 0.0104* | 3.3492 | -0.5765 | -0.8464 | 0.4045 | 3.3863 |
TIE | 8.6061 | 1.4637 | 0.1588 | 2.3423 | 1.1405 | 0.8690 | 0.3922 | 1.6950 |
COP | -0.0550 | -1.5216 | 0.1438 | 5.1014 | 0.0905 | 3.6238 | 0.0011* | 2.8052 |
卡方统计量 | 33.0698* | 61.2658* | ||||||
校正R2 | 0.6789 | 0.6243 | ||||||
AICc | -77.1159 | 25.8913 | ||||||
Koenker(BP)统计量 | 14.4257* | 20.1373* | ||||||
Jarque-Bera 统计量 | 1.5584 | 0.1030 |
Tab.3 OLS model estimation results for urban PLEDI drivers in the Yangtze River Delta region
变量 | 2003年 | 2018年 | ||||||
---|---|---|---|---|---|---|---|---|
系数 | t 统计量 | 概率 | VIF | 系数 | t 统计量 | 概率 | VIF | |
截距 | -0.0758 | -1.8504 | 0.0791 | — | -0.6568 | -3.6471 | 0.0011* | — |
OD | -1.0724 | -3.1735 | 0.0048* | 3.3492 | 0.8848 | 0.5343 | 0.5974 | 1.5340 |
MS | 0.0000 | 4.2891 | 0.0004* | 6.8746 | 0.0000 | 0.9276 | 0.3615 | 4.5431 |
TA | 0.1116 | 2.2483 | 0.0360* | 1.3566 | -0.0179 | -0.2255 | 0.8233 | 1.3952 |
UPE | 0.1919 | 2.8258 | 0.0104* | 3.3492 | -0.5765 | -0.8464 | 0.4045 | 3.3863 |
TIE | 8.6061 | 1.4637 | 0.1588 | 2.3423 | 1.1405 | 0.8690 | 0.3922 | 1.6950 |
COP | -0.0550 | -1.5216 | 0.1438 | 5.1014 | 0.0905 | 3.6238 | 0.0011* | 2.8052 |
卡方统计量 | 33.0698* | 61.2658* | ||||||
校正R2 | 0.6789 | 0.6243 | ||||||
AICc | -77.1159 | 25.8913 | ||||||
Koenker(BP)统计量 | 14.4257* | 20.1373* | ||||||
Jarque-Bera 统计量 | 1.5584 | 0.1030 |
变量 | 2003 | 2018 | ||||||
---|---|---|---|---|---|---|---|---|
最小值 | 最大值 | 平均值 | 标准差 | 最小值 | 最大值 | 平均值 | 标准差 | |
截距 | -0.075 9 | -0.075 8 | -0.075 9 | 0.000 0 | -0.736 8 | -0.580 5 | -0.675 0 | 0.042 1 |
OD | -1.073 2 | -1.072 3 | -1.072 8 | 0.000 2 | 0.546 8 | 1.315 7 | 0.934 5 | 0.211 6 |
MS | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 |
TA | 0.111 5 | 0.111 7 | 0.111 6 | 0.000 0 | -0.049 2 | -0.030 9 | -0.036 5 | 0.004 5 |
UPE | 0.191 8 | 0.192 1 | 0.192 0 | 0.000 1 | -1.039 6 | 0.035 6 | -0.443 8 | 0.317 0 |
TIE | 8.586 2 | 8.623 5 | 8.601 7 | 0.009 7 | 0.518 9 | 2.096 5 | 1.157 4 | 0.406 6 |
COP | -0.059 0 | -0.054 9 | -0.055 0 | 0.000 0 | 0.071 5 | 0.110 5 | 0.090 5 | 0.009 4 |
带宽 | 7 122 056.139 0 | 513 715.700 5 | ||||||
R2 | 0.753 2 | 0.770 2 | ||||||
校正R2 | 0.679 0 | 0.687 4 | ||||||
AICc | 77.112 1 | -29.897 2 |
Tab.4 GWR model estimation results for urban PLEDI drivers in the Yangtze River Delta region
变量 | 2003 | 2018 | ||||||
---|---|---|---|---|---|---|---|---|
最小值 | 最大值 | 平均值 | 标准差 | 最小值 | 最大值 | 平均值 | 标准差 | |
截距 | -0.075 9 | -0.075 8 | -0.075 9 | 0.000 0 | -0.736 8 | -0.580 5 | -0.675 0 | 0.042 1 |
OD | -1.073 2 | -1.072 3 | -1.072 8 | 0.000 2 | 0.546 8 | 1.315 7 | 0.934 5 | 0.211 6 |
MS | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 | 0.000 0 |
TA | 0.111 5 | 0.111 7 | 0.111 6 | 0.000 0 | -0.049 2 | -0.030 9 | -0.036 5 | 0.004 5 |
UPE | 0.191 8 | 0.192 1 | 0.192 0 | 0.000 1 | -1.039 6 | 0.035 6 | -0.443 8 | 0.317 0 |
TIE | 8.586 2 | 8.623 5 | 8.601 7 | 0.009 7 | 0.518 9 | 2.096 5 | 1.157 4 | 0.406 6 |
COP | -0.059 0 | -0.054 9 | -0.055 0 | 0.000 0 | 0.071 5 | 0.110 5 | 0.090 5 | 0.009 4 |
带宽 | 7 122 056.139 0 | 513 715.700 5 | ||||||
R2 | 0.753 2 | 0.770 2 | ||||||
校正R2 | 0.679 0 | 0.687 4 | ||||||
AICc | 77.112 1 | -29.897 2 |
1 | 习近平.在民营企业座谈会上的讲话. 人民日报,2018-11-02(2). |
XI J. Speech at forum on private enterprises. People's Daily, 2018-11-02(2). | |
2 | 阿尔弗雷德・韦伯.工业区位论.北京:商务印书馆,2011. |
WEBER A. Theory of Industrial Location. Beijing: The Commercial Press,2011. | |
3 | 约翰・冯・杜能.孤立国同农业和国民经济的关系:珍藏本.商务印书馆,2009. |
DUNANT J. The Relationship of Isolated States to Agriculture and The National Economy: A Collection. Beijing:The Commercial Press, 2009. | |
4 | 张杰,唐根年.浙江省制造业空间分异格局及其影响因素.地理科学,2018,38(7):1107-1117. |
ZHANG J, TANG G. Spatial differentiation pattern of manufacturing industry in Zhejiang Province and its influencing factors. Geoscience,2018,38(7):1107-1117. | |
5 | 崔功豪,魏清泉,刘科伟.区域分析与区域规划.北京:高等教育出版社,2006. |
CUI G, WEI Q, LIU K. Regional Analysis and Regional Planning. Beijing: Higher Education Press,2006. | |
6 | 宋周莺,刘卫东.信息时代的企业区位研究.地理学报,2012,67(4):479-489. |
SONG Z, LIU W. Research on enterprise location in the information age. Journal of Geography,2012,67(4):479-489. | |
7 | LEJPRAS A, STEPHAN A. Locational conditions, cooperation, and innovativeness: evidence from research and company spin-offs. Annals of Regional Science, 2011, 46(3): 543-575. |
8 | RON, MARTIN. Roepke Lecture in Economic Geography—Rethinking Regional Path Dependence: Beyond Lock-in to Evolution. Economic Geography, 2010. |
9 | 刘树峰,杜德斌,覃雄合,等.中国沿海三大城市群企业创新时空格局与影响因素.经济地理,2018,38(12):111-118. |
LIU S, DU D, QIN X, et al. Spatio-temporal pattern and influencing factors of corporate innovation in three major coastal city clusters in China. Economic Geography,2018,38(12):111-118. | |
10 | 潘峰华,刘作丽,夏亚博,等.中国上市企业总部的区位分布和集聚特征.地理研究,2013,32(9):1721-1736. |
PAN F, LIU Z, XIA Y, et al. Location distribution and agglomeration characteristics of headquarters of listed enterprises in China. Geography Research,2013,32(9):1721-1736. | |
11 | 肖凡,任建造,伍敏冬,等.21世纪以来中国高新技术企业的时空分布和影响机制.经济地理,2018,38(2):27-35. |
XIAO F, REN J, WU M, et al. Spatio-temporal distribution and influence mechanism of high-tech enterprises in China since the 21st century. Economic Geography,2018,38(2):27-35. | |
12 | 赵静平,卢明华.京津冀地区上市公司总部空间分布特征及影响因素.首都师范大学学报(自然科学版),2019,40(6):90-98. |
ZHAO J, LU M. Spatial distribution characteristics and influencing factors of headquarters of listed companies in Beijing-Tianjin-Hebei Region. Journal of Capital Normal University (Natural Science Edition),2019,40(6):90-8. | |
13 | 赵静平,卢明华,刘汉初.北京上市公司总部空间分布特征及影响因素.经济地理,2020,40(1):12-20. |
ZHAO J, LU M, LIU H. Spatial distribution characteristics and influencing factors of listed company headquarters in Beijing. Economic Geography,2020,40(1):12-20. | |
14 | 钟业喜,傅钰,郭卫东,等.中国上市公司总部空间格局演变及其驱动因素研究.地理科学,2018,38(4):485-494. |
ZHONG Y, FU Y, GUO W, et al. Research on the evolution of spatial pattern of headquarters of listed companies in China and its driving factors. Geoscience,2018,38(4):485-494. | |
15 | 蒋天颖,张超,孙平,等.浙江省县域金融创新空间分异及驱动因素.经济地理,2019,39(4):146-154. |
JIANG T, ZHANG C, SUN P, et al. Spatial differentiation and driving factors of financial innovation in Zhejiang province counties. Economic Geography,2019,39(4):146-154. | |
16 | 金仁浩,成晓红,王莎.中国A级物流企业空间格局及驱动因素研究.数学的实践与认识,2019,49(3):118-126. |
JIN R, CHENG X, WANG S. Research on the spatial pattern and driving factors of China's Class A logistics enterprises. Practice and Understanding of Mathematics,2019,49(3):118-126. | |
17 | 夏四友,赵媛,许昕,等.江苏省粮食生产时空格局及其驱动因素.经济地理,2018,38(12):166-175. |
XIA S, ZHAO Y, XU X, et al. Spatio-temporal pattern of grain production and its driving factors in Jiangsu Province. Economic Geography,2018,38(12):166-175. | |
18 | 陈青雁,王鹏,钟业喜.中国民营上市企业总部空间格局及影响因素.世界地理研究,2020,29(5):996-1005. |
CHEN Q, WANG P, ZHONG Y. Spatial pattern and influencing factors of headquarters of private listed companies in China. World Geography Research,2020,29(5):996-1005. | |
19 | 石蕾平.我国民营上市企业空间分布及收敛性研究.南昌:江西师范大学,2020. |
Shi L. Research on spatial distribution and convergence of private listed enterprises in China.Nanchang: Jiangxi Normal University,2020. | |
20 | 魏凌,张杨,李强,等.基于标准差椭圆的我国国土生态空间分异研究.生态经济,2020,36(7):176-181. |
WEI L, ZHANG Y, LI Q, et al. Research on the ecological spatial differentiation of China's land based on standard deviation ellipse. Ecological Economy,2020,36(7):176-181. | |
21 | 周侃,李会,申玉铭.京津冀地区县域环境胁迫时空格局及驱动因素.地理学报,2020,75(9):1934-1947. |
ZHOU K, LI H, SHEN Y. Spatial and temporal patterns and drivers of environmental stress in counties in the Beijing-Tianjin-Hebei region. Journal of Geography,2020,75(9):1934-1947. | |
22 | 隋雪艳,吴巍,周生路,等.都市新区住宅地价空间异质性驱动因素研究——基于空间扩展模型和GWR模型的对比.地理科学,2015,35(6):683-689. |
SUI X, WU W, ZHOU S,et al. Research on the drivers of spatial heterogeneity of residential land prices in new urban areas--A comparison based on spatially extended model and GWR model. Scientia Geographica Sinica,2015,35(6):683-689. | |
23 | 高金龙,袁丰,陈雯.转型期城市制造业空间重构过程与机理——以南京市为例.地理研究,2017,36(6):1014-1028. |
GAO J, YUAN F, CHEN W. Process and mechanism of spatial reconfiguration of urban manufacturing industry in the transition period--Taking Nanjing as an example. Geography Research,2017,36(6):1014-1028. | |
24 | MASAHISA, FUJITA. Towards the new economic geography in the brain power society. Regional Science and Urban Economics, 2007, 37(4):482-490. |
25 | RAYMOND V. International investment and international trade in the product cycle. John Wiley & Sons, Ltd,1966,8(4): 190-207 |
26 | OZAWA T. Pax-Americana-led macro-clustering and flying-geese-style catch-up in East Asia: Mechanisms of regionalized endogenous growth. Journal of Asian Economics, 2003, 13(6):699-713. |
27 | 高亚琼. 区际产业转移背景下的企业迁移:外移动因与目标区位选择.重庆:重庆大学,2019. |
GAO Y. Firm relocation in the context of inter-regional industrial transfer: Outward movement factors and target location choice. Chongqing: Chongqing University,2019. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||