Jianxin Li

Jianxin Li


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 October 2026 in Urban Science
Verified
Journal Article
Open access
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JLJianxin Li
Jianxin Li
XCXinyi Chen
Xinyi Chen
MLMan Liang
Man Liang
XFXinghua FENG
Xinghua FENG
As economic globalization and industrial restructuring advance, inter-firm interactions have become increasingly close, and the structural characteristics of urban investment networks have undergone significant changes. From an enterprise investment context, this study integrates complex network theory and resilience theory to construct a comprehensive evaluation framework for urban investment network resilience and to conduct corresponding measurements. Drawing on the investment perspectives of the listed companies, this study integrates complex network theory and resilience theory and adopts a three-stage research approach of “network construction–topological analysis–attack simulation” to construct a comprehensive evaluation framework for urban investment network resilience and to conduct corresponding measurements. First, an urban investment linkage network is constructed based on cross-regional investment data of the listed companies; second, network analysis methods are employed to measure static resilience characteristics; and finally, dynamic resilience evolution is evaluated through deliberate attack simulations. The results indicate that, during 2010–2022, the urban network structure in the Yangtze River Delta (YRD) region became increasingly complex, while its risk resistance capacity improved. The scope of inter-city linkages broadened across all cities, yet the pace of development exhibits pronounced spatial heterogeneity—the investment radiation range of core cities expanded from 17 to 39 cities, whereas peripheral cities witnessed relatively sluggish growth in their number of connected partners. The overall urban network exhibited a rising trend in comprehensive resilience, with the composite resilience index increasing from 0.556 to 0.706, indicating a steadily strengthened capacity to withstand and adapt to external shocks. Furthermore, the article further examines policy implications and optimization strategies for the industrial investment network of the Yangtze River Delta urban agglomeration from a resilience perspective.

1 January 2026 in Progress in Geography
Verified
Journal Article
Closed access
PDF file
MLMan Liang
Man Liang
YLYan Lan
Yan Lan
JLJianxin Li
Jianxin Li
YWYuzhao Wen
Yuzhao Wen
XFXinghua Feng
Xinghua Feng
产业结构的单一性及自然资源的高度依赖性使得资源型城市在面对内外冲击与干扰时呈现异常的敏感与脆弱,科学测度资源型城市的经济韧性水平并识别障碍因素是提升其可持续发展能力的新思维、新途径。论文基于2010—2022年110个资源型城市相关数据,构建“抵抗与恢复能力—适应与调节能力—转型与发展能力”综合评价体系,运用熵值法、GIS空间分析、障碍度模型等方法定量分析中国资源型城市经济韧性的时序变化、空间格局及障碍因素,结果表明:① 资源型城市经济韧性水平实现了由0.0679至0.1249的稳步提升,呈现“再生型>成熟型>成长型>衰退型”的特征,但成长型城市的增速处于领先位置,存在“追赶效应”。② 资源型城市经济韧性水平具有显著空间分异特征,呈现“东部地区>中部地区>西部地区>东北地区”的趋势,东、中、西部地区不断上升而东北地区则出现升降反复的异常;热点区域分布于以徐州、济宁等为中心的黄淮海地区,冷点区域则由西南、西北地区向东北地区转移。③ 系统层方面,抵抗与恢复能力、适应与调节能力是资源型城市经济韧性提升的主要障碍因素;指标层方面,居民财富积累不足、需求拉动疲软、财政政策欠科学及产业结构刚性约束是制约经济韧性的重要因子。研究可为提升资源型城市经济韧性以及制定韧性发展政策提供科学参考。