Spatio-temporal evolution and influencing factors of urban green development efficiency in China

被引：0

作者：

Zhou L. ^{[1
,2
]}

Che L. ^{[3
]}

Zhou C. ^{[2
]}

机构：

[1] Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou

[2] State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing

[3] College of Geography and Environment Sciences, Northwest Normal University, Lanzhou

来源：

Dili Xuebao/Acta Geographica Sinica | 2019年 / 74卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Efficiency; Green development; Man-land relationship; Spatial markov chain; Spatio- temporal evolution; Sustainable development goals(SDGs);

D O I：

10.11821/dlxb201910006

中图分类号：

学科分类号：

摘要：

Green development is pivotal to resolving natural environmental constraints, solving national economic transition, and supporting and realizing the United Nations sustainable development goals. It is gradually growing into a crucial guideline for China's ecological civilization construction, "Beautiful China" development, and global economic transition and restructure. Based on a thorough review of the concept of green development, this paper accurately depicts a full picture of China's spatio-temporal patterns of urban green development efficiency (UGDE) in 2005-2015 by using SBM-Undesirable, the Theil index and the Spatial Markov Chain methods. Moreover, the influencing mechanism has been further discussed based on a quantitative analysis of both natural and human factors. Our results demonstrate that: (1) UGDE increased steadily by 10% from 0.475 in 2005 to 0.523 in 2015. And temporally, it shows a pattern of "W"-shaped fluctuated growth. (2) Spatially, UGDE decreased from eastern to central China, and further to western China. Besides, there is an inverted pyramid pattern of "national level > regional level > local level" urban agglomeration in UDGE growth. Moreover, there is a steady urban scale structure from super city to small city in UDGE. (3) There is an evident concentration of cities with high- level and low- level UDGE, indicating a significant influence of path dependence. (4) Quantitatively speaking, compared to natural factors, human factors such as economy size, industry structure, and openness level play a more important role in influencing the UDGE. © 2019, Science Press. All right reserved.

引用

页码：2027 / 2044

页数：17

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