生态与农村环境学报 ›› 2020, Vol. 36 ›› Issue (12): 1522-1531.doi: 10.19741/j.issn.1673-4831.2019.1060

• 区域环境与发展 • 上一篇    下一篇

京津冀土地绿色利用与经济增长耦合协调的时空异质性研究

梁彦庆1,2, 官洋溢1, 黄志英3,4,5,6, 焦新颖5   

  1. 1. 河北师范大学资源与环境科学学院, 河北 石家庄 050024;
    2. 河北省环境变化遥感识别技术创新中心, 河北 石家庄 050024;
    3. 中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室, 新疆 乌鲁木齐 830011;
    4. 新疆大学资源与环境科学学院, 新疆 乌鲁木齐 830046;
    5. 河北地质大学土地科学与空间规划学院, 河北 石家庄 050031;
    6. 中国科学院大学, 北京 100049
  • 收稿日期:2019-12-31 发布日期:2020-12-23
  • 通讯作者: 黄志英 E-mail:hzy366@sohu.com
  • 作者简介:梁彦庆(1979-),男,河北井陉人,副教授,博士,研究方向为资源评价与规划、区域经济与土地利用。E-mail:liangyanqing@126.com
  • 基金资助:
    河北省教育厅科学技术研究重点项目(ZD2019115);河北师范大学科技类科研重点基金(L052018Z09);国家自然科学基金(41471090);河北省社会科学基金(HB17YJ022)

Spatial-Temporal Heterogeneity of Coupling and Coordination Between Green Land Use and Economic Growth in Beijing-Tianjin-Hebei Area

LIANG Yan-qing1,2, GUAN Yang-yi1, HUANG Zhi-ying3,4,5,6, JIAO Xin-ying5   

  1. 1. College of Resource and Environmental Science, Hebei Normal University, Shijiazhuang 050024, China;
    2. Hebei Innovation Center for Remote Sensing Identification Technology of Environmental Change, Shijiazhuang 050024, China;
    3. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
    4. College of Resources and Environmental Sciences, Xinjiang University, Urumqi 830046, China;
    5. College of Land Science and Spatial Planning, Hebei University of Geosciences, Shijiazhuang 050031, China;
    6. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-12-31 Published:2020-12-23

摘要: 基于2006、2011和2016年3期截面数据,综合运用超效率SBM模型、标准差椭圆法、耦合协调度模型、地理探测器等方法,对京津冀13市土地绿色利用与经济增长耦合协调的时空异质性及其影响因素进行研究,为该地区土地资源合理利用以及经济增长方式的转变提供决策参考。结果表明:(1)2006-2016年京津冀各城市土地绿色利用与经济增长系统移动趋势分别为东北-西北向、东北-北向,空间上总体呈东北-西南格局分布。(2)耦合协调度范围在0.34~0.41之间,2006-2016年总体由轻度失调转变为濒临失调,京津呈土地绿色利用滞后型状态,而河北省各市呈经济增长滞后型状态。(3)因子探测器计算结果表明,城镇化率q值高达0.799 4,交互探测器计算结果表明,第三产业占GDP比重与工业固体废物综合利用率的交互作用最大,为0.955 6。研究表明京津冀各城市近10 a土地绿色利用与经济增长变化差异显著,耦合协调水平的空间分布表现出集中性与稳定性,城镇化率为其主导影响因子,且任意两因子的交互影响力要优于单项因子的独立作用。

关键词: 土地绿色利用, 经济增长, 耦合协调度, 时空异质性, 京津冀

Abstract: This paper discussed the spatial-temporal heterogeneity and its influencing factors of the coupling coordination of green land use and economic growth in 13 cities of Beijing-Tianjin-Hebei area. This work aims to provide decision-making references for the rational utilization of land resources and the transformation of economic growth mode. Super efficiency SBM model, standard deviation ellipse method, coupling coordination degree model and geographical detector method were conducted based on the section data of 2006, 2011 and 2016. Results show that: (1) From 2006 to 2016, the moving trends of green land use and economic growth systems in Beijing-Tianjin-Hebei area were northeast-southwest and northeast-north respectively, but the overall spatial distribution was northeast-southwest. (2) The coupling coordination degree ranged from 0.34 to 0.41, which changed from mild imbalance to close to imbalance, and the regions in northwest and south Hebei were always low; Beijing and Tianjin were lagging behind state in green land use, while cities in Hebei were lagging behind in economic growth. (3) The urbanization rate q value was up to 0.799 4 among detection of influence factors, and the interaction between the proportion of tertiary industry in GDP and the comprehensive utilization rate of industrial solid waste was the largest, which was 0.955 6. The research concluded that there are significant differences between green land use and economic growth in Beijing, Tianjin and Hebei in recent 10 years. The spatial coupling coordination level maintains the concentration and stability of inter annual distribution, but shows significant spatial-temporal heterogeneity. The urbanization rate is the dominant factor and the interaction effect of any two factors is better than the independent effect of single factor on the coordinated development of the two systems.

Key words: green land use, economic growth, coupling coordination degree, spatial-temporal heterogeneity, Beijing-Tianjin-Hebei area

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