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干旱区地理 ›› 2023, Vol. 46 ›› Issue (5): 846-856.doi: 10.12118/j.issn.1000-6060.2022.401

• 区域发展 • 上一篇    

黄河流域七大城市群绿色发展效率测度及特征分析

孟望生1(),刘华桢2,张扬3   

  1. 1.甘肃政法大学商学院,甘肃 兰州 730070
    2.甘肃政法大学经济学院,甘肃 兰州 730070
    3.陕西师范大学国际商学院,陕西 西安 710119
  • 收稿日期:2022-08-17 修回日期:2022-11-08 出版日期:2023-05-25 发布日期:2023-06-05
  • 作者简介:孟望生(1985-),男,博士,教授,主要从事环境经济学和区域经济学研究. E-mail: mengwangsheng@163.com
  • 基金资助:
    国家社会科学基金西部项目(22XJL009)

Measurement and characterization of green development efficiency in seven urban agglomerations in the Yellow River Basin

MENG Wangsheng1(),LIU Huazhen2,ZHANG Yang3   

  1. 1. School of Business, Gansu University of Political Science and Law, Lanzhou 730070, Gansu, China
    2. School of Economics, Gansu University of Political Science and Law, Lanzhou 730070, Gansu, China
    3. International Business School, Shaanxi Normal University, Xi’an 710119, Shannxi, China
  • Received:2022-08-17 Revised:2022-11-08 Online:2023-05-25 Published:2023-06-05

摘要:

黄河流域城市群绿色发展对于全流域生态保护与绿色高质量发展至关重要。采用超效率SBM模型测度黄河流域七大城市群所辖城市2007—2019年的绿色发展效率,对其时空演化特征进行刻画,并分别采用引力模型和均衡函数分析七大城市群间绿色发展的关联特征和城市群内部的均衡特征。结果表明:(1) 从时序特征来看,城市群的绿色发展效率以2014年为界呈现先下降后上升的变化趋势。(2) 从空间分布来看,城市群所辖城市的绿色发展效率在空间格局上呈现低效率空间集聚现象。(3) 从关联特征来看,不同城市群间绿色发展的关联强度存在较大差异,其关联关系主要有单向溢出关联、双向溢出关联和无关联。(4) 从均衡特征来看,城市群的绿色发展效率与其均衡度之间存在负相关关系,且各城市群在绿色发展效率和均衡度的关系上主要呈现低效率-高均衡度、低效率-低均衡度和高效率-低均衡度3种类型。

关键词: 绿色发展效率, 城市群, 关联特征, 均衡特征, 黄河流域

Abstract:

The green development of the urban agglomerations in the Yellow River Basin of China is crucial to the ecological protection and green high-quality development of the whole basin. This paper uses the super slacks-based model to measure the green development efficiency of cities in the seven urban agglomerations in the Yellow River Basin from 2007 to 2019. It also uses the gravity model and the equilibrium function to characterize the spatiotemporal evolution and to analyze the correlation characteristics of green development among the seven urban agglomerations and the equilibrium characteristics within the urban agglomerations, respectively. The following results were obtained: (1) The green development efficiency of the urban agglomerations exhibits the tendency to drop and then increase, with 2014 as the boundary in terms of time series. (2) The green development efficiency of cities under the jurisdiction of urban agglomeration shows an inefficient spatial clustering pattern in terms of spatial distribution. (3) The strength of the associations of green development varies greatly among different urban agglomerations, and there are three main types of their associations, namely, one-way spillover associations, two-way spillover associations, and no associations. (4) A negative correlation is observed between the green development efficiency of urban agglomerations and their equilibrium degree, and the relationship between green development efficiency and equilibrium degree of each urban agglomeration mainly presents three types, i.e., low-efficiency/high-equilibrium degree, low-efficiency/low-equilibrium degree, and high-efficiency/low-equilibrium degree, in terms of equilibrium characteristics.

Key words: green development efficiency, urban agglomeration, correlation characteristics, equilibrium characteristics, Yellow River Basin