World Regional Studies ›› 2023, Vol. 32 ›› Issue (2): 104-114.DOI: 10.3969/j.issn.1004-9479.2023.02.2021680
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Yunzhe WANG1(), Guojun ZHANG2, Chunshan ZHOU1()
Received:
2021-09-19
Revised:
2021-12-29
Online:
2023-02-15
Published:
2023-02-24
Contact:
Chunshan ZHOU
通讯作者:
周春山
作者简介:
王运喆(1997―),男,硕士研究生,主要研究方向为城市地理学、区域发展与城乡规划,E-mail: wangyzh76@mail2.sysu.edu.cn。
基金资助:
Yunzhe WANG, Guojun ZHANG, Chunshan ZHOU. Spatio-temporal characteristics and influencing factors of industrial collaborative agglomeration in urban agglomerations in China[J]. World Regional Studies, 2023, 32(2): 104-114.
王运喆, 张国俊, 周春山. 中国城市群产业协同集聚的时空特征及影响因素[J]. 世界地理研究, 2023, 32(2): 104-114.
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URL: https://sjdlyj.ecnu.edu.cn/EN/10.3969/j.issn.1004-9479.2023.02.2021680
地区 | 城市群数量 | 城市群名称 |
---|---|---|
东部 | 5 | 珠三角城市群、长三角城市群、京津冀城市群、山东半岛城市群、海峡西岸城市群 |
东北 | 2 | 辽中南城市群、哈长城市群 |
中部 | 3 | 长江中游城市群、晋中城市群、中原城市群 |
西部 | 9 | 成渝城市群、北部湾城市群、天山北坡城市群、关中平原城市群、宁夏沿黄城市群、滇中城市群、兰西城市群、呼包鄂榆城市群、黔中城市群 |
Tab.1 Regional division of urban agglomeration
地区 | 城市群数量 | 城市群名称 |
---|---|---|
东部 | 5 | 珠三角城市群、长三角城市群、京津冀城市群、山东半岛城市群、海峡西岸城市群 |
东北 | 2 | 辽中南城市群、哈长城市群 |
中部 | 3 | 长江中游城市群、晋中城市群、中原城市群 |
西部 | 9 | 成渝城市群、北部湾城市群、天山北坡城市群、关中平原城市群、宁夏沿黄城市群、滇中城市群、兰西城市群、呼包鄂榆城市群、黔中城市群 |
Fig.2 Spatial distribution pattern of collaborative agglomeration level of secondary and tertiary industries in China's urban agglomerations in 2006 and 2018
年份 | Moran' I | E(I) | Z值 | P值 |
---|---|---|---|---|
2006 | 0.530 | -0.005 | 16.929 | 0 |
2007 | 0.518 | -0.005 | 16.545 | 0 |
2008 | 0.471 | -0.005 | 15.062 | 0 |
2009 | 0.479 | -0.005 | 15.290 | 0 |
2010 | 0.502 | -0.005 | 16.020 | 0 |
2011 | 0.456 | -0.005 | 14.692 | 0 |
2012 | 0.439 | -0.005 | 14.036 | 0 |
2013 | 0.457 | -0.005 | 14.626 | 0 |
2014 | 0.455 | -0.005 | 14.544 | 0 |
2015 | 0.483 | -0.005 | 15.436 | 0 |
2016 | 0.487 | -0.005 | 15.586 | 0 |
2017 | 0.456 | -0.005 | 14.584 | 0 |
2018 | 0.447 | -0.005 | 14.310 | 0 |
Tab.2 The global Moran's I index of the collaborative agglomeration level of the secondary and tertiary industries in China's urban agglomerations
年份 | Moran' I | E(I) | Z值 | P值 |
---|---|---|---|---|
2006 | 0.530 | -0.005 | 16.929 | 0 |
2007 | 0.518 | -0.005 | 16.545 | 0 |
2008 | 0.471 | -0.005 | 15.062 | 0 |
2009 | 0.479 | -0.005 | 15.290 | 0 |
2010 | 0.502 | -0.005 | 16.020 | 0 |
2011 | 0.456 | -0.005 | 14.692 | 0 |
2012 | 0.439 | -0.005 | 14.036 | 0 |
2013 | 0.457 | -0.005 | 14.626 | 0 |
2014 | 0.455 | -0.005 | 14.544 | 0 |
2015 | 0.483 | -0.005 | 15.436 | 0 |
2016 | 0.487 | -0.005 | 15.586 | 0 |
2017 | 0.456 | -0.005 | 14.584 | 0 |
2018 | 0.447 | -0.005 | 14.310 | 0 |
Fig.3 Spatial distribution of cold and hot spots in the collaborative agglomeration level of secondary and tertiary industries in China's urban agglomerations in 2006 and 2018
变量代码 | 变量名称 | 定义 |
---|---|---|
X1 | 城镇化水平 | 城镇人口与总人口之比 |
X2 | 政府调控 | 人均公共财政支出 |
X3 | 科技支出强度 | 科技支出占财政支出比重 |
X4 | 外商投资强度 | 人均实际利用外资额 |
Tab.3 Variables influencing collaborative agglomeration level of secondary and tertiary industries in urban agglomeration and their explanations
变量代码 | 变量名称 | 定义 |
---|---|---|
X1 | 城镇化水平 | 城镇人口与总人口之比 |
X2 | 政府调控 | 人均公共财政支出 |
X3 | 科技支出强度 | 科技支出占财政支出比重 |
X4 | 外商投资强度 | 人均实际利用外资额 |
变量 | OLS | SLM | SEM | |||
---|---|---|---|---|---|---|
回归系数 | t 统计量 | 回归系数 | z统计量 | 回归系数 | z统计量 | |
常数 | 1.054 9*** | 5.760 6 | 0.796 6*** | 4.384 0 | 0.892 6*** | 5.994 6 |
X1 | 0.054 3 | 1.597 2 | 0.077 4** | 2.397 6 | 0.099 9*** | 3.579 4 |
X2 | -0.025 8 | -0.863 2 | -0.026 4 | -0.939 2 | -0.044 8* | -1.877 4 |
X3 | 0.021 6* | 1.722 0 | 0.019 3 | 1.633 3 | 0.014 8 | 1.402 2 |
X4 | -0.064 9*** | -3.425 2 | -0.063 9*** | -3.579 2 | -0.030 7** | -2.102 8 |
R2 | 0.084 0 | 0.167 8 | 0.520 1 | |||
Breusch-Pagan test | 23.174 8*** | 19.619 4*** | 17.953 6** | |||
LogL | 122.373 0 | 131.333 0 | 170.171 3 | |||
AIC | -234.747 0 | -250.667 0 | -330.343 0 | |||
SC | -218.230 0 | -230.847 0 | -313.826 0 |
Tab.4 The estimation results of OLS, SLM and SEM
变量 | OLS | SLM | SEM | |||
---|---|---|---|---|---|---|
回归系数 | t 统计量 | 回归系数 | z统计量 | 回归系数 | z统计量 | |
常数 | 1.054 9*** | 5.760 6 | 0.796 6*** | 4.384 0 | 0.892 6*** | 5.994 6 |
X1 | 0.054 3 | 1.597 2 | 0.077 4** | 2.397 6 | 0.099 9*** | 3.579 4 |
X2 | -0.025 8 | -0.863 2 | -0.026 4 | -0.939 2 | -0.044 8* | -1.877 4 |
X3 | 0.021 6* | 1.722 0 | 0.019 3 | 1.633 3 | 0.014 8 | 1.402 2 |
X4 | -0.064 9*** | -3.425 2 | -0.063 9*** | -3.579 2 | -0.030 7** | -2.102 8 |
R2 | 0.084 0 | 0.167 8 | 0.520 1 | |||
Breusch-Pagan test | 23.174 8*** | 19.619 4*** | 17.953 6** | |||
LogL | 122.373 0 | 131.333 0 | 170.171 3 | |||
AIC | -234.747 0 | -250.667 0 | -330.343 0 | |||
SC | -218.230 0 | -230.847 0 | -313.826 0 |
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