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干旱区地理 ›› 2025, Vol. 48 ›› Issue (10): 1855-1865.doi: 10.12118/j.issn.1000-6060.2024.784 cstr: 32274.14.ALG2024784

• 区域发展 • 上一篇    下一篇

资源依赖性地区生态经济价值时空演变与影响因素研究——以内蒙古县域为例

李文龙1,2(), 郭靖1, 林海英1, 潘霞1()   

  1. 1.内蒙古财经大学资源与环境经济学院/边疆治理与区域国别研究重点实验室,内蒙古 呼和浩特 010070
    2.中国科学院地理科学与资源研究所,北京 100101
  • 收稿日期:2024-12-25 修回日期:2025-02-24 出版日期:2025-10-25 发布日期:2025-10-27
  • 通讯作者: 潘霞(1993-),女,博士,讲师,主要从事生态经济价值转化研究. E-mail: xiapan0712@foxmail.com
  • 作者简介:李文龙(1986-),男,博士,教授,主要从事生态经济发展研究. E-mail: nmgliwenlong@126.com
  • 基金资助:
    国家重点研发计划项目(2024YFE0113800);“英才兴蒙”工程团队项目(2025TEZ04);内蒙古自治区社会科学联合会重点项目(2025DK01);内蒙古教育厅基金(STAQZX202322);内蒙古自治区文化和旅游发展研究课题(2024-WL016);内蒙古财经大学自治区“五大任务”研究专项课题(NCXWD246TYZ7)

Spatio-temporal evolution of ecological-economic values in resource-dependent regions and influencing factors: A case study of Inner Mongolia counties

LI Wenlong1,2(), GUO Jing1, LIN Haiying1, PAN Xia1()   

  1. 1. School of Resources and Environmental Economics/Key Laboratory of Border Governance and Area Studies, Inner Mongolia University of Finance and Economics, Hohhot 010070, Inner Mongolia, China
    2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • Received:2024-12-25 Revised:2025-02-24 Published:2025-10-25 Online:2025-10-27

摘要:

生态文明建设是当今时代的重大课题,开展生态经济价值时空分异及影响因素研究对于区域经济增长与生态保护协调发展具有重要意义。基于1983—2023年土地利用遥感监测数据,采用当量因子法对内蒙古县域尺度下生态经济价值进行定量评估并分析其时空演变特征,利用地理探测器、地理加权回归模型探讨了生态经济价值空间分异的影响因素。结果表明:(1) 1983—2023年内蒙古整体土地利用类型变化显著,其中草地转出面积最大,是耕地的最大转换来源。(2) 1983—2023年内蒙古生态经济价值由663.41×108元下降到650.40×108元,共损失13.01×108元;从空间分布特征来看,内蒙古生态经济价值整体呈现“北高南低”“东高西低”的空间分布格局。(3) 年均气温和归一化植被指数(NDVI)是影响内蒙古生态经济价值的主导因子,年均气温与生态经济价值呈现负相关关系;NDVI对生态经济价值影响表现出由西向东递增、从负值向正值过渡的特征。研究结果可为内蒙古制定生态保护政策提供参考,未来要注重平衡不同土地利用类型之间的相互转化,以便协同推进经济社会发展和生态环境保护。

关键词: 生态经济价值, 生态价值当量, 时空分析, 地理加权回归, 内蒙古

Abstract:

The construction of ecological civilization is a critical issue in the current era, and research on the spatiotemporal variations of ecological-economic value and its driving factors is essential for achieving coordinated regional economic growth and ecological protection. Using land-use remote sensing monitoring data from 1983 to 2023, this study applies the equivalent factor method to quantitatively assess ecological-economic value at the county scale in Inner Mongolia, China and to analyze its spatial and temporal evolution. Geodetector and geographically weighted regression models are employed to explore the determinants of spatial differentiation in ecological-economic value. The results indicate that: (1) Land-use types in Inner Mongolia changed significantly between 1983 and 2023, with grassland occupying the largest area and serving as the main source of cultivated land conversion. (2) Ecological economic value declined from 66.34 billion yuan in 1983 to 65.04 billion yuan in 2023, representing a total loss of 1.3 billion yuan. Spatially, ecological economic value exhibited a “high in the north and low in the south” and “high in the east and low in the west” distribution pattern. (3) Average annual temperature and the normalized difference vegetation index (NDVI) were the dominant factors influencing ecological-economic value. Temperature showed a negative correlation, while NDVI was positively correlated, increasing from west to east. These findings provide a scientific reference for developing ecological protection policies in Inner Mongolia. Future efforts should emphasize balancing the transformation among different land-use types to promote the synergistic advancement of economic development and ecological protection.

Key words: ecological-economic value, ecological value equivalent, spatio-temporal analysis, geographically weighted regression, Inner Mongolia