| 环京津地区耕地利用生态效率与农业高质量发展时空耦合 |
| 摘要点击 538 全文点击 6 投稿时间：2025-05-27 修订日期：2025-09-18 |
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| 中文关键词 耕地利用生态效率 农业高质量发展 耦合协调度 时空分异 环京津地区 |
| 英文关键词 eco-efficiency of cultivated land use high-quality development of agricultural coupled coordination degree spatio-temporal differentiation the region around Beijing and Tianjin |
| DOI 10.13227/j.hjkx.202505303 |
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| 中文摘要 |
| 耕地利用生态效率与农业高质量发展的耦合协调发展对农业可持续利用和生态文明建设具有重要意义. 分别运用超效率EBM模型和熵值法对2005~2020年环京津地区71个县域耕地利用生态效率与农业高质量发展进行评价，在此基础上运用耦合协调度模型和空间自相关分析研究二者的耦合协调度及其空间关联时空格局分析. 结果表明：①2005~2020年环京津地区耕地利用生态效率与农业高质量发展均呈上升态势，空间分布格局较为相似，高值区和较高值区主要集中在东南部，低值区主要集中在西部太行山脉地区. ②研究期内环京津耕地利用生态效率与农业高质量发展的耦合协调度整体呈现增长的态势，由0.52增长至0.64，但均值仅为0.58. ③耕地利用生态效率与农业高质量发展的耦合协调度存在着显著的空间正相关性，且随时间推移关联程度先增强后减弱. 局部空间自相关结果表明，高高集聚区（H-H）主要在东南部平原地区逐渐演变，低低集聚区（L-L）主要在西部太行山区成片分布. 研究结果可为环京津地区制定差异化农业高质量发展政策和推进耕地资源可持续利用提供科学依据. |
| 英文摘要 |
| The relationship between cultivated land use eco-efficiency （ECLU） and high-quality agricultural development （HQDA） constitutes a critical foundation for achieving sustainable agricultural production and promoting ecological civilization. This study conducted a comprehensive assessment of ECLU and HQDA across 71 counties in the Beijing-Tianjin region from 2005 to 2020， utilizing the super-efficiency EBM model and entropy weighting method. To further investigate their interactive relationship， it implemented the coupling coordination degree （CCD） model and conducted spatial autocorrelation analysis to elucidate their coordination dynamics and spatiotemporal patterns. The results show that： ① Both ECLU and HQDA displayed sustained growth trajectories during the study period， with similar spatial distribution characteristics. Geographically， high-value clusters were predominantly concentrated in the southeastern region， whereas low-value areas were mainly distributed throughout the western Taihang Mountain zone. ② The CCD between ECLU and HQDA showed consistent improvement， progressing from 0.52 to 0.64 over the 15-year period， indicating an evolution from marginal to primary coordination. However， the mean coordination level of 0.58 suggests that overall coordination remained at a moderate stage. ③ Spatial analysis revealed significant positive autocorrelation in CCD distribution， with correlation intensity following a non-linear temporal pattern-initially strengthening before gradually weakening. Local spatial autocorrelation results further identified distinct clustering patterns： High-high （H-H） agglomerations progressively expanded in the southeastern plains， while low-low （L-L） clusters maintained a patchy distribution in the western Taihang Mountain area. The research results can provide a scientific basis for formulating differentiated agricultural high-quality development policies and promoting the sustainable utilization of cultivated land resources in the Beijing-Tianjin surrounding region. |
