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生态学杂志 ›› 2021, Vol. 40 ›› Issue (1): 220-232.doi: : 10.13292/j.1000-4890.202101.014

• 研究报告 • 上一篇    下一篇

包容性理念下中国城镇化质量与资源利用协调发展的关系

马亚兄,张志斌*,董建红,郑岚   

  1. (西北师范大学地理与环境科学学院, 兰州 730070)
  • 出版日期:2021-01-10 发布日期:2021-06-10

The coordinated development relationship between urbanization quality and resource utilization in China under the inclusive concept.

MA Ya-xiong, ZHANG Zhi-bin*, DONG Jian-hong, ZHENG Lan#br#   

  1. (School of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China).
  • Online:2021-01-10 Published:2021-06-10

摘要: 明晰包容性发展理念下城镇化质量与资源利用的协调发展关系及其限制因素,可为相关部门制定城镇化健康发展路径提供参考。利用基尼系数、探索性空间数据分析和协调度模型,对2000—2016年中国省域城镇化质量与资源利用的协调性进行分析,并采用障碍度模型探索其障碍因子。结果表明:中国城镇化质量与资源利用水平协调性波动上升,呈现“自东向西、由南向北”递减趋势,各地区协调性水平偏低,非同步性特征明显;中国城镇化质量与资源利用水平协调类型以城镇化质量滞后型为主;协调性呈现“东南高、西北低”的空间分布特征,热点区向东南方向偏移,冷点区在西北地区收缩;单项指标障碍度的省际差异较大。主要障碍因子包括人均财政科技支出、城镇基本医疗保险覆盖率、万人拥有医生数、城镇基本养老保险覆盖率、失业保险覆盖率、年末金融机构各项存款余额、百人公共图书馆藏书量、第三产业产值比重和建设用地面积比重等。

关键词: 包容性发展, 城镇化质量, 资源利用, 时空耦合, 障碍度

Abstract: Clarification of the relationship between urbanization quality and resource utilization under the concept of inclusive development can provide guidance for related departments to propose a healthy development direction for urbanization. Using Gini coefficient, exploratory spatial data analysis and coordination degree model, we analyzed the coordination between the urbanization quality and resource utilization in China’s provinces from 2000 to 2016. The obstacle degree model was used to explore its obstacle factors. The degree of coordination between the quality of China’s urbanization and the level of resource utilization had fluctuated upward, showing a stepwise downward trend both from east to west and south to north. The coordination levels for various regions were low, but with substantial asynchrony. The coordination between urbanization quality and resource utilization level in China was dominated by the lagging type of urbanization. The spatial distribution of coordination showed a characteristic of “high in the southeast and low in the northwest”, with hot spots shifting to the southeast and cold spots shrinking in the northwest. The barriers of individual indicators varied greatly across different provinces. The main obstacle factors in the indicator layer included per capita financial expenditure on science and technology, urban basic medical insurance coverage, number of doctors per 10000 people, urban basic endowment insurance coverage, unemployment insurance coverage, year-end balance of various deposits in financial institutions, public library book collection of 100 people, the proportion of output value of the tertiary industry, and the proportion of construction land area.

Key words: inclusive development, quality of urbanization, resource use, coupling of time and space, degree of obstacles.