| 四川省国家重点生态功能区生态-经济耦合协调度时空格局与影响因素时空异质性 |
| 摘要点击 462 全文点击 21 投稿时间：2024-11-20 修订日期：2025-04-15 |
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| 中文关键词 国家重点生态功能区 生态-经济耦合协调度 时空异质性 空间格局 影响因素 |
| 英文关键词 national key ecological functional areas ecological-economic coupling coordination degree spatiotemporal heterogeneity spatial pattern influencing factors |
| DOI 10.13227/j.hjkx.20260225 |
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| 中文摘要 |
| 在区域协调与可持续发展背景下，探索生态保护与经济发展之间的协同关系，实现二者的有效耦合与协调至关重要. 以四川省56个国家重点生态功能区县（市）为研究对象，利用耦合协调度模型对其生态-经济耦合协调度的现状及动态演变特征进行测算；进一步借助时序分析、趋势面分析和空间自相关分析，解析其时空演变格局，并运用时空地理加权回归模型（GTWR）深入探讨影响因素及其时空异质性. 结果显示：①生态-经济耦合协调度总体处于“0.4~0.5”（轻度失调）与“0.5~0.6”（初级耦合协调）区间，呈现出先下降后上升的U型演变趋势；②耦合协调度高值区主要集中在四川省东部和南部地区，且南北差异呈扩大趋势；③生态-经济耦合协调度的空间关联性经历了先减弱后增强的过程，表现出明显的空间异质性与区域集聚特征；④影响因素存在显著的时空差异，河网密度、路网密度、政府作用力、产业结构和人口密度等因素均呈现出时空异质性特征. 研究揭示，四川省国家重点生态功能区内生态保护政策与经济发展战略的协调性逐渐增强，但区域之间的差距仍然突出，应依据具体区域差异制定针对性政策，以实现生态环境与经济发展的协调共赢. |
| 英文摘要 |
| Achieving a balance between ecological conservation and economic development is essential for regional coordination and sustainable development. This study examines 56 national key ecological function counties （cities） in Sichuan Province， employing a coupling coordination model to assess the current state and dynamic evolution of ecological-economic coupling coordination. Temporal analysis， trend surface analysis， and spatial autocorrelation analysis are utilized to delineate spatiotemporal evolution patterns， while a geographically and temporally weighted regression （GTWR） model is applied to explore influencing factors and spatiotemporal heterogeneity. The results indicate that： ① The coupling coordination degree generally fell within the range of 0.4-0.5 （mild imbalance） and 0.5-0.6 （primary coordination）， exhibiting a U-shaped trend of initial decline followed by subsequent improvement. ② High coordination areas were mainly concentrated in the eastern and southern regions of Sichuan Province， with an expanding north-south disparity. ③ Spatial correlation of the coupling coordination degree weakened initially before strengthening， revealing significant spatial heterogeneity and regional clustering characteristics. ④ Key influencing factors， including river network density， road network density， government intervention， industrial structure， and population density， displayed pronounced spatiotemporal heterogeneity. These findings suggest that while the alignment between ecological protection policies and economic development strategies in Sichuan's national key ecological function areas is strengthening， regional disparities remain prominent. Therefore， targeted policies should be formulated based on local conditions to achieve a sustainable synergy between environmental conservation and economic growth. |
