

World Regional Studies ›› 2025, Vol. 34 ›› Issue (11): 112-127.DOI: 10.3969/j.issn.1004-9479.2025.11.20240514
Xiaojuan ZHANG1(
), Chengjun LIU2
Received:2024-07-04
Revised:2024-10-24
Online:2025-11-15
Published:2025-11-29
作者简介:张筱娟(1991—),女,博士,讲师,研究方向为城镇化与区域创新,E-mail:daisy_jxz@163.com。
基金资助:Xiaojuan ZHANG, Chengjun LIU. Study on the resilience of innovation network structure at different scales in the Yangtze River Delta Region[J]. World Regional Studies, 2025, 34(11): 112-127.
张筱娟, 刘程军. 不同尺度下长三角地区创新网络结构的韧性研究[J]. 世界地理研究, 2025, 34(11): 112-127.
| 类型 | 年份 | 网络节点数 | 网络边数 | 网络密度 |
|---|---|---|---|---|
| 地级创新网络 | 2006 | 33 | 72 | 0.136 |
| 2012 | 40 | 176 | 0.226 | |
| 2020 | 41 | 332 | 0.405 | |
| 县级创新网络 | 2006 | 119 | 269 | 0.038 |
| 2012 | 231 | 964 | 0.036 | |
| 2020 | 292 | 2 449 | 0.058 |
Tab.1 Characteristics of innovation network in Yangtze River Delta in 2006, 2012 and 2020
| 类型 | 年份 | 网络节点数 | 网络边数 | 网络密度 |
|---|---|---|---|---|
| 地级创新网络 | 2006 | 33 | 72 | 0.136 |
| 2012 | 40 | 176 | 0.226 | |
| 2020 | 41 | 332 | 0.405 | |
| 县级创新网络 | 2006 | 119 | 269 | 0.038 |
| 2012 | 231 | 964 | 0.036 | |
| 2020 | 292 | 2 449 | 0.058 |
| 区域 | 年份 | 层级性 | 匹配性 | 集聚性 | 传输性 |
|---|---|---|---|---|---|
| 度分布a | 度关联b | 平均集聚系数C | 网络效率E | ||
| 地级网络 | 2006 | -1.570 9(R2=0.909 9) | -0.5 431(R2=0.231 3) | 0.531 | 0.289 |
| 2012 | -1.872 2(R2=0.858 2) | -0.1 444(R2=0.130 1) | 0.615 | 0.340 | |
| 2020 | -1.498 0(R2=0.884 0) | -0.0 522(R2=0.252 6) | 0.704 | 0.385 | |
| 县级网络 | 2006 | -1.434 3(R2=0.906 5) | -0.3 594(R2=0.090 1) | 0.225 | 0.270 |
| 2012 | -1.616 0(R2=0.897 0) | -0.2 101(R2=0.044 2) | 0.321 | 0.291 | |
| 2020 | -1.685 7(R2=0.820 8) | -0.1 505(R2=0.095 3) | 0.432 | 0.316 |
Tab.2 Structural resilience of innovation network in the Yangtze River Delta at different scales
| 区域 | 年份 | 层级性 | 匹配性 | 集聚性 | 传输性 |
|---|---|---|---|---|---|
| 度分布a | 度关联b | 平均集聚系数C | 网络效率E | ||
| 地级网络 | 2006 | -1.570 9(R2=0.909 9) | -0.5 431(R2=0.231 3) | 0.531 | 0.289 |
| 2012 | -1.872 2(R2=0.858 2) | -0.1 444(R2=0.130 1) | 0.615 | 0.340 | |
| 2020 | -1.498 0(R2=0.884 0) | -0.0 522(R2=0.252 6) | 0.704 | 0.385 | |
| 县级网络 | 2006 | -1.434 3(R2=0.906 5) | -0.3 594(R2=0.090 1) | 0.225 | 0.270 |
| 2012 | -1.616 0(R2=0.897 0) | -0.2 101(R2=0.044 2) | 0.321 | 0.291 | |
| 2020 | -1.685 7(R2=0.820 8) | -0.1 505(R2=0.095 3) | 0.432 | 0.316 |
Fig.2 Fitting results of weighted degree distribution of innovation network at the prefecture-level and county-level in Yangtze River Delta in 2006, 2012 and 2020
Fig.3 Spatial distribution of the nodes’ weighted degree of innovation network at the prefecture-level and county-level in Yangtze River Delta in 2006, 2012 and 2020
Fig.4 Changes of indicators of innovation network in the Yangtze River Delta at the prefecture-level and county-level under different attack strategies in 2006, 2012 and 2020
| 年份 | 地级网络 | 县级网络 | ||||
|---|---|---|---|---|---|---|
| 加权度 | 加权中介中心度 | 加权接近中心度 | 加权度 | 加权中介中心度 | 加权接近中心度 | |
| 2006年 | -0.1 393 | -0.5 558 | -0.8 474 | -0.5 603 | -0.7 659 | -0.7 448 |
| 2012年 | -0.3 945 | -0.3 938 | -0.7 250 | -0.5 358 | -0.7 412 | -0.6 354 |
| 2020年 | -0.2 302 | -0.9 631 | -0.8 932 | -0.6 452 | -0.7 578 | -0.7 869 |
Tab.3 Pearson correlation coefficient between network efficiency and centrality index
| 年份 | 地级网络 | 县级网络 | ||||
|---|---|---|---|---|---|---|
| 加权度 | 加权中介中心度 | 加权接近中心度 | 加权度 | 加权中介中心度 | 加权接近中心度 | |
| 2006年 | -0.1 393 | -0.5 558 | -0.8 474 | -0.5 603 | -0.7 659 | -0.7 448 |
| 2012年 | -0.3 945 | -0.3 938 | -0.7 250 | -0.5 358 | -0.7 412 | -0.6 354 |
| 2020年 | -0.2 302 | -0.9 631 | -0.8 932 | -0.6 452 | -0.7 578 | -0.7 869 |
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