Research on the Coordination Relationship and Zoning Optimization of Territorial Spatial Functions in Southern Karst Regions Based on a Multi-Scale Fusion Model

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 430 - 430

Published: Feb. 19, 2025

Territorial Space (TS) is characterized by its multifunctionality. The identification and management of Spatial Functions (TSFs) across multi-scale crucial for achieving the SDGs. However, previous studies have primarily concentrated on variations in TSFs within administrative or grid units at a single scale, with investigations remaining challenge. This study focuses typical karst region Guangxi province China develops Multi-Scale Fusion model (MSF) assessing employs coupling coordination degree (CCD) to examine relationships. Furthermore, principal component analysis (PCA) used classify various types influencing factors, Revealed Comparative Advantage (RCA) index employed identify primary factors county level. integrates advantage into zoning process. results demonstrate: (1) Ecological function dominant function. At unit production living functions exhibit spatial pattern “high southeast low northwest”, while ecological shows opposite pattern. Under scale fusion, high texture characteristics are more pronounced. (2) slight moderate disorder. Slight disorder widely distributed, predominantly found northwest mountainous regions. In contrast, coordinated relationships frequently observed urban areas. (3) driver can be categorized four categories: Terrain-Population, Agriculture Development, Location-Economy, Non-Agriculture Development. By integrating relationships, six zones delineated. Based this, precise differentiated optimization suggestions proposed promote orderly utilization sustainable development TS.

Language: Английский

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Heterogeneity of urban‒rural responses to multigoal policy from an efficiency perspective: An empirical study in China

Habitat International, Journal Year: 2025, Volume and Issue: 158, P. 103341 - 103341

Published: Feb. 20, 2025

Language: Английский

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Evaluating Territorial Space Use Efficiency: A Geographic Data Envelopment Model Considering Geospatial Effects

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 635 - 635

Published: March 17, 2025

Accurately evaluating territorial space use efficiency is a prerequisite for promoting the realization of high-quality development. Existing evaluation models all treat decision making units (DMUs) as independent individuals, ignoring geospatial effects between geographical spaces, which leads to unreliable results. This study proposes geographic data envelopment analysis (GeoDEA) model, integrating spatially constrained multivariate clustering model with generalized (DEA). The GeoDEA reconstructs and reference sets considering spatial adjacency, cluster numbers, socio-economic indicators then applies slack-based measure (SBM) super-efficient formula. It verified that value evaluated using higher than traditional DEA but it also more consistent cognition reliable. mainly explained by fact takes into account effect selects DMUs relatively close distance levels development frontier evaluation. optimizes avoids problem DMU underestimated when background mode are very different from frontier. enhances reliability efficiency.

Language: Английский

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Assessment of Low-Carbon Utilization in Territorial Space and Identification of Its Driving Factors: A Case Study of the Yangtze River Economic Belt in China

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 738 - 738

Published: March 29, 2025

The low-carbon utilization (LCU) of territorial space represents a critical strategy for addressing climate change and promoting sustainable development, yet current assessments in this domain remain insufficient. This study develops an integrated assessment framework utilizing kernel density estimation, optimal parameter-based geographical detector, the Tobit regression model to analyze spatiotemporal evolution, typology, driving factors LCU Yangtze River Economic Belt. findings reveal that index region increased from 0.548 2005 0.569 2020, despite significant regional disparities. Cities are classified into eight distinct types LCU, with over 80% demonstrating poor performance at least one functional space, particularly urban where number cities below average is highest. analysis demonstrates spaces influenced by integration natural conditions, socio-economic factors, landscape patterns. In light these findings, systematically proposes policy recommendations enhance space. research contributes establishment scientific evaluation providing empirical evidence improve spatial governance policies support development.

Language: Английский

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Do Agricultural Ecology and Food Security Promote Each Other? Evidence From China

Food and Energy Security, Journal Year: 2025, Volume and Issue: 14(3)

Published: April 25, 2025

ABSTRACT Based on a spatiotemporal perspective, this study evaluates the agricultural ecology and food security levels of 31 provinces in China from 2013 to 2022 using rank‐sum ratio method. It analyzes trajectory changes through center‐of‐gravity model explores dynamic relationship between two with VAR model. The results show that China's ecosystem has recovered since 2019, 21% increase capability. Geographically, index shows higher values east lower west, while are unevenly distribution across country. Notably, centers gravity located Nanyang, Henan, northwestward shift, indicating advancements northwest region. synergistic enhancement significantly improved stability sustainability, highlighting importance their mutual complementarity. conclusions drawn may offer insights into promoting regional sustainability developing effective policies.

Language: Английский

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Spatial optimisation based on ecosystem service spillover effect and cross-scale knowledge integration: A case study of the Yellow River Basin

Journal of Geographical Sciences, Journal Year: 2025, Volume and Issue: 35(5), P. 1080 - 1114

Published: May 1, 2025

Language: Английский

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