区域发展

宁夏开发区土地集约利用时空分布特征与驱动因素分析

  • 袁庆雯 ,
  • 刘艳芳 ,
  • 赵金梅 ,
  • 安睿 ,
  • 刘耀林
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  • 1.武汉大学资源与环境科学学院,湖北 武汉 430079
    2.宁夏自然资源勘测调查院,宁夏 银川 750002
袁庆雯(2000-),女,硕士研究生,主要从事土地可持续利用与区域高质量发展研究. E-mail: qingwenyuan1@126.com
刘耀林(1960-),男,博士,教授,国际欧亚科学院院士,主要从事土地信息技术的理论、方法与应用研究. E-mail: yaolin610@yeah.net

收稿日期: 2023-10-01

  修回日期: 2024-01-07

  网络出版日期: 2024-05-30

基金资助

国家自然科学基金重点项目(42230107)

Spatial and temporal distribution characteristics and driving factors of land intensive utilization in development zones of Ningxia

  • YUAN Qingwen ,
  • LIU Yanfang ,
  • ZHAO Jinmei ,
  • AN Rui ,
  • LIU Yaolin
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  • 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, Hubei, China
    2. Ningxia Natural Resources Survey and Investigation Institute, Yinchuan 750002, Ningxia, China

Received date: 2023-10-01

  Revised date: 2024-01-07

  Online published: 2024-05-30

摘要

开发区土地集约利用是新时代区域高质量发展的重要支撑,二者的关系成为当前的研究热点。以宁夏开发区为例,评价分析2018—2021年土地集约利用的时空分布特征,从经济质量、创新驱动、开放环境、绿色转型和结构优化5个维度选取影响因素,应用时空地理加权回归(GTWR)模型探究其对集约用地的驱动机理。结果表明:(1) 宁夏开发区土地集约水平呈现北部引黄灌区>中部干旱区>南部山区的分布格局,研究时段内差异缩小。(2) GTWR模型可以有效捕捉驱动机制的时空差异,绿色转型、结构优化是土地集约利用的主导驱动因素,创新驱动、经济质量是次要因素。(3) 各因子对集约用地的驱动作用呈现显著的时空分异性,固定资产投资增长率等对北部引黄灌区开发区的驱动作用更显著,工业企业总收入增长率等则是中南部开发区的主要影响因素;单位工业收入地耗对集约水平的影响小幅下降,其他因子逐渐增强。研究揭示了高质量发展目标下各开发区集约用地的动力机制,有助于为宁夏开发区土地利用的分区管控提供政策参考,也为西部黄河流域高质量园区建设贡献一份力量。

本文引用格式

袁庆雯 , 刘艳芳 , 赵金梅 , 安睿 , 刘耀林 . 宁夏开发区土地集约利用时空分布特征与驱动因素分析[J]. 干旱区地理, 2024 , 47(5) : 861 -871 . DOI: 10.12118/j.issn.1000-6060.2023.538

Abstract

The intensive utilization of land within development zones is crucial for the region’s high-quality development in the new era, with its dynamics emerging as a prominent research area. This study, focusing on the development zones of Ningxia, China, investigates the spatio-temporal distribution of land use intensification from 2018 to 2021. It identifies key influencing factors such as economic quality, innovation drive, open environment, green transformation, and structural optimization, employing the geographically and temporally weighted regression (GTWR) model to delineate the underlying drivers of intensive land use. The findings reveal that: (1) Land use intensification in Ningxia’s development zones exhibits a distribution pattern where the northern Yellow River irrigation area surpasses the central arid area, which in turn surpasses the southern mountainous area, with the disparity between these areas decreasing over the study period. (2) The GTWR model proficiently captures spatial and temporal variations in the driving mechanism, highlighting green transformation and structural optimization as primary influencers, followed by innovation drive and economic quality. (3) The impact of each factor on land use intensification exhibits significant spatial and temporal heterogeneity; for instance, the growth rate of fixed asset investment exerts a more pronounced influence in the northern Yellow River irrigation area, while the growth rate of industrial enterprises’ total income is more influential in the central and southern regions. Moreover, the effect of land consumption per unit of industrial income on intensification levels slightly diminishes, with the influence of other factors gradually intensifying. This study elucidates the dynamic mechanisms of intensive land use across different development zones, aiming to inform land use policy and support the development of high-quality zones in the western Yellow River Basin.

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