Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, China
Based on a comprehensive evaluation index system for regional economic resilience and port logistics development, this study employs multiple methodologies including coupling coordination degree model, kernel density estimation, gravity center model, spatial autocorrelation model, and geographic det...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Systems |
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| Online Access: | https://www.mdpi.com/2079-8954/13/7/524 |
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| author | Haoran Yin Zhidong Zhu Liurong Pan Fangyang Zhu Xuehua Wu |
| author_facet | Haoran Yin Zhidong Zhu Liurong Pan Fangyang Zhu Xuehua Wu |
| author_sort | Haoran Yin |
| collection | DOAJ |
| description | Based on a comprehensive evaluation index system for regional economic resilience and port logistics development, this study employs multiple methodologies including coupling coordination degree model, kernel density estimation, gravity center model, spatial autocorrelation model, and geographic detector model to explore the spatial–temporal evolution patterns and driving factors of coupling coordination between regional economic resilience and port logistics in the Guangxi Beibu Gulf Economic Zone from 2012 to 2022. The results indicate that: (1) The coupling coordination degree between the two systems showed an upward trend during the study period, although with stage-specific bipolar differentiation that weakened in the later stages. (2) The spatial distribution pattern of coupling coordination evolved from a “single-core” driven by Nanning to a “dual-core” led by Nanning and Yulin, forming a distinct concentric layer structure; the gravity center of coupling coordination exhibited a “southeast–northwest” dynamic migration pattern. (3) Spatial autocorrelation analysis revealed significant positive spatial dependence of coupling coordination within the study area, with spatial agglomeration values showing a “core–transition–depression” differentiation pattern. (4) Information technology level emerged as the dominant driving factor, forming a “technology–finance–infrastructure” ternary collaborative driving model with financial development level and logistics infrastructure level, which became the main force promoting the coordinated development of the coupled systems. |
| format | Article |
| id | doaj-art-bfeda1c200a14537a341dcbc5f3d3b85 |
| institution | DOAJ |
| issn | 2079-8954 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-bfeda1c200a14537a341dcbc5f3d3b852025-08-20T03:08:10ZengMDPI AGSystems2079-89542025-06-0113752410.3390/systems13070524Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, ChinaHaoran Yin0Zhidong Zhu1Liurong Pan2Fangyang Zhu3Xuehua Wu4School of Economics and Management, Beibu Gulf University, Qinzhou 535011, ChinaDepartment of Economics, University of Manchester, Booth St W, Manchester M13 9NX, UKSchool of Economics and Management, Beibu Gulf University, Qinzhou 535011, ChinaSchool of Economics and Management, Beibu Gulf University, Qinzhou 535011, ChinaSchool of Economics and Management, Beibu Gulf University, Qinzhou 535011, ChinaBased on a comprehensive evaluation index system for regional economic resilience and port logistics development, this study employs multiple methodologies including coupling coordination degree model, kernel density estimation, gravity center model, spatial autocorrelation model, and geographic detector model to explore the spatial–temporal evolution patterns and driving factors of coupling coordination between regional economic resilience and port logistics in the Guangxi Beibu Gulf Economic Zone from 2012 to 2022. The results indicate that: (1) The coupling coordination degree between the two systems showed an upward trend during the study period, although with stage-specific bipolar differentiation that weakened in the later stages. (2) The spatial distribution pattern of coupling coordination evolved from a “single-core” driven by Nanning to a “dual-core” led by Nanning and Yulin, forming a distinct concentric layer structure; the gravity center of coupling coordination exhibited a “southeast–northwest” dynamic migration pattern. (3) Spatial autocorrelation analysis revealed significant positive spatial dependence of coupling coordination within the study area, with spatial agglomeration values showing a “core–transition–depression” differentiation pattern. (4) Information technology level emerged as the dominant driving factor, forming a “technology–finance–infrastructure” ternary collaborative driving model with financial development level and logistics infrastructure level, which became the main force promoting the coordinated development of the coupled systems.https://www.mdpi.com/2079-8954/13/7/524regional economic resilienceport logisticscoupling coordinationspatial–temporal evolutiondriving factors |
| spellingShingle | Haoran Yin Zhidong Zhu Liurong Pan Fangyang Zhu Xuehua Wu Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, China Systems regional economic resilience port logistics coupling coordination spatial–temporal evolution driving factors |
| title | Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, China |
| title_full | Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, China |
| title_fullStr | Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, China |
| title_full_unstemmed | Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, China |
| title_short | Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, China |
| title_sort | research on spatial temporal coupling and driving factors of regional economic resilience and port logistics empirical evidence from southern guangxi china |
| topic | regional economic resilience port logistics coupling coordination spatial–temporal evolution driving factors |
| url | https://www.mdpi.com/2079-8954/13/7/524 |
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