Collect ｜ Homepage Advertisement ｜ Contact us ｜ Message
Adv. search

Arid Land Geography >

2023 , Vol. 46 >Issue 9: 1514 - 1523

DOI: https://doi.org/10.12118/j.issn.1000-6060.2022.633

Ecology and Environment

Spatiotemporal evolutionary characteristics and coordinated development of urban ecological resilience and efficiency in the Yellow River Basin

  • Cheng ZHOU ,
  • Yaling ZHAO ,
  • Xuhong ZHANG ,
  • Lin ZHOU ,
  • Minmin REN
Expand
  • 1. Faculty of Culture, Tourism, Journalism and Art, Shanxi University of Finance and Economics, Taiyuan 030006, Shanxi, China
    2. School of Economic and Management, Xi’an University of Technology, Xi’an 710054, Shannxi, China
    3. Tourism College, Northwest Normal University, Lanzhou 730070, Gansu, China

Received date: 2022-12-01

  Revised date: 2022-12-31

  Online published: 2023-09-28

Fold

Abstract

Improving urban ecological resilience and efficiency, and promoting coordinated development between these two systems are the primary objectives of ecological governance in the Yellow River Basin, China. Considering 57 cities in the Yellow River Basin as the research target, this study analyzed the spatial and temporal evolutionary characteristics of urban ecological resilience and efficiency based on the weighted summation method and the slacks-based measurement (SBM) model for the period from 2009 to 2018. Furthermore, a coupled coordination model was employed to analyze the coordinated development of urban ecological resilience and efficiency in cities along the Yellow River Basin. The study results showed the following: (1) During the study period, the urban ecological resilience of cities along the Yellow River Basin had a fluctuating declining trend overall, and these cities faced greater ecological threats and environmental pressures. Xi’an, Zhengzhou, and Jinan City are three provincial capitals that show high urban ecological resilience, whereas Guyuan, Dingxi, Haidong, and Lüliang City showed low urban ecological resilience. (2) The urban ecological efficiency of cities along the Yellow River Basin was generally characterized by a “U”-shaped evolution; in other words, the efficiency first decreased and subsequently increased. Dingxi, Longnan, Qingyang, Ordos, Guyuan, and Luoyang City showed a high level of urban ecological efficiency, while cities with low urban ecological efficiency were mainly located in Shanxi, Henan, and Shandong provinces in the middle and lower reaches of the Yellow River. (3) The coordination relationship between ecological resilience and efficiency is similar to that of the ecological efficiency subsystem, which changed from a continuous decline to a gradual recovery. During the study period, the number of cities with good and moderate coordination between urban ecological resilience and efficiency increased, while the number of cities with poor coordination decreased. Furthermore, while the coordinated development momentum of ecological resilience and efficiency of cities in the basin is apparent, the contradiction between economic development and environmental protection continues to be prominent in the short term. Thus, results of this study contribute to the knowledge base regarding the formulation of ecological policies, improvement of urban ecological resilience, and promotion of urban ecological efficiency in cities in the Yellow River Basin.

Key words： ecological resilience; ecological efficiency; coordinated development; urban; Yellow River Basin

Cite this article

Cheng ZHOU , Yaling ZHAO , Xuhong ZHANG , Lin ZHOU , Minmin REN . Spatiotemporal evolutionary characteristics and coordinated development of urban ecological resilience and efficiency in the Yellow River Basin[J]. Arid Land Geography, 2023 , 46(9) : 1514 -1523 . DOI: 10.12118/j.issn.1000-6060.2022.633

References

[1] 陶洁怡, 董平, 陆玉麒. 长三角地区生态韧性时空变化及影响因素分析[J]. 长江流域资源与环境, 2022, 31(9): 1975-1987.
[1] [Tao Jieyi, Dong Ping, Lu Yuqi. Spatial-temporal analysis and influencing factors of ecological resilience in Yangtze River Delta[J]. Resources and Environment in the Yangtze Basin, 2022, 31(9): 1975-1987.]
[2] 任梅, 王小敏, 刘忠梅, 等. 中国区域生态效率时空变化及其影响因素分析[J]. 华东经济管理, 2019, 33(9): 71-79.
[2] [Ren Mei, Wang Xiaomin, Liu Zhongmei, et al. Analysis on spatial-temporal change and the influencing factors of regional eco-efficiency of China[J]. East China Economic Management, 2019, 33(9): 71-79.]
[3] 李连刚, 张平宇, 程钰, 等. 黄河流域经济韧性时空演变与影响因素研究[J]. 地理科学, 2022, 42(4): 557-567.
[3] [Li Liangang, Zhang Pingyu, Cheng Yu, et al. Spatio-temporal evolution and influencing factors of economic resilience in the Yellow River Basin[J]. Scientia Geographica Sinica, 2022, 42(4): 557-567.]
[4] 陈明华, 岳海珺, 郝云飞, 等. 黄河流域生态效率的空间差异、动态演进及驱动因素[J]. 数量经济技术经济研究, 2021, 38(9): 25-44.
[4] [Chen Minghua, Yue Haijun, Hao Yunfei, et al. The spatial disparity, dynamic evolution and driving factors of ecological efficiency in the Yellow River Basin[J]. Journal of Quantitative & Technological Economics, 2021, 38(9): 25-44.]
[5] 李雪铭, 刘凯强, 田深圳, 等. 基于DPSIR模型的城市人居环境韧性评价——以长三角城市群为例[J]. 人文地理, 2022, 37(1): 54-62.
[5] [Li Xueming, Liu Kaiqiang, Tian Shenzhen, et al. Evaluation of urban human settlements resilience based on DPSIR model: A case study of the Yangtze River Delta Urban Systems[J]. Human Geography, 2022, 37(1): 54-62.]
[6] 周成, 张旭红, 张倩, 等. 黄河流域“五位一体”综合评价体系建构与空间差异研究[J]. 中国沙漠, 2021, 41(4): 1-11.
[6] [Zhou Cheng, Zhang Xuhong, Zhang Qian, et al. The construction of “Five in One” comprehensive evaluation system and spatial difference in the Yellow River Basin[J]. Journal of Desert Research, 2021, 41(4): 1-11.]
[7] 中共中央, 国务院. 黄河流域生态保护和高质量发展规划纲要[N]. 人民日报, 2021-10-09(01).
[7] [Central Committee of Communist Party of China, the State Council of the People’s Republic of China. Outline of the planning for ecological protection and high-quality development of the Yellow River Basin[N]. People’s Daily, 2021-10-09(01).]
[8] 孙久文, 孙翔宇. 区域经济韧性研究进展和在中国应用的探索[J]. 经济地理, 2017, 37(10): 1-9.
[8] [Sun Jiuwen, Sun Xiangyu. Research progress of regional economic resilience and exploration of its application in China[J]. Economic Geography, 2017, 37(10): 1-9.]
[9] Holling C S. Resilience and stability of ecological systems[J]. Annual Review of Ecology & Systematics, 1973, 4(1): 1-23.
[10] Delettre O. Identity of ecological systems and the meaning of resilience[J]. Journal of Ecology, 2021, 109(9): 3147-3156.
[11] Berkes F, Jolly D. Adapting to climate change: Social-ecological resilience in a Canadian western arctic community[J]. Ecology and Society, 2000, 5(2): 213-218.
[12] Lebel L. Governance and the capacity to manage resilience in regional social-ecological systems[J]. Ecology & Society, 2006, 11(1): 230-250.
[13] 王松茂, 牛金兰. 山东半岛城市群城市生态韧性的动态演化及障碍因子分析[J]. 经济地理, 2022, 42(8): 51-61.
[13] [Wang Songmao, Niu Jinlan. Dynamic evolution and obstacle factors of urban ecological resilience in Shandong Peninsula urban agglomeration[J]. Economic Geography, 2022, 42(8): 51-61.]
[14] 夏楚瑜, 董照樱子, 陈彬. 城市生态韧性时空变化及情景模拟研究——以杭州市为例[J]. 生态学报, 2022, 42(1): 116-126.
[14] [Xia Chuyu, Dong Zhaoyingzi, Chen Bin. Spatio-temporal analysis and simulation of urban ecological resilience: A case study of Hangzhou[J]. Acta Ecologica Sinica, 2022, 42(1): 116-126.]
[15] 杨晓冬, 李紫薇, 张家玉, 等. 可持续发展视角下城市韧性的时空评价[J]. 城市问题, 2021, 40(3): 29-37.
[15] [Yang Xiaodong, Li Ziwei, Zhang Jiayu, et al. Spatiotemporal evaluation of urban resilience from the perspective of sustainable development[J]. Urban Problems, 2021, 40(3): 29-37.]
[16] 朱金鹤, 孙红雪. 中国三大城市群城市韧性时空演进与影响因素研究[J]. 软科学, 2020, 34(2): 72-79.
[16] [Zhu Jinhe, Sun Hongxue. Research on spatial-temporal evolution and influencing factors of urban resilience of China’s three metropolitan agglomerations[J]. Soft Science, 2020, 34(2): 72-79.]
[17] 臧鑫宇, 焦娇, 王峤. 既有城区生态韧性问题解析与空间优化策略研究[J]. 城市建筑, 2019, 16(15): 34-38.
[17] [Zang Xinyu, Jiao Jiao, Wang Qiao. Study on the problem of ecological resilience in the existing urban areas and the strategy of spatial optimization[J]. Urbanism and Architecture, 2019, 16(15): 34-38.]
[18] 沈洁, 李燕, 夏春红, 等. 云南省城市生态韧性测度及时空演变研究[J]. 中国资源综合利用, 2021, 39(2): 55-58.
[18] [Shen Jie, Li Yan, Xia Chunhong, et al. Study on the measure and spatial evolution of urban ecological resilience in Yunnan[J]. China Resources Comprehensive Utilization, 2021, 39(2): 55-58.]
[19] 路兰, 周宏伟, 许清清. 多维关联网络视角下城市韧性的综合评价应用研究[J]. 城市问题, 2020(8): 42-55.
[19] [Lu Lan, Zhou Hongwei, Xu Qingqing. Application research on comprehensive evaluation of urban resilience from the perspective of multidimensional relational networks[J]. Urban Problems, 2020(8): 42-55.]
[20] 李苏, 刘浩南. 干旱区城市化与生态韧性耦合协调的时空格局演化分析——以宁夏为例[J]. 干旱区地理, 2022, 45(4): 1281-1290.
[20] [Li Su, Liu Haonan. Spatio-temporal pattern evolution of coupling coordination between urbanization and ecological resilience in arid region: A case of Ningxia Hui Autonomous Region[J]. Arid Land Geography, 2022, 45(4): 1281-1290.]
[21] 王少剑, 崔子恬, 林靖杰, 等. 珠三角地区城镇化与生态韧性的耦合协调研究[J]. 地理学报, 2021, 76(4): 973-991.
[21] [Wang Shaojian, Cui Zitian, Lin Jingjie, et al. Coupling relationship between urbanization and ecological resilience in the Pearl River Delta[J]. Acta Geographica Sinica, 2021, 76(4): 973-991.]
[22] C?té R, Booth A, Louis B. Eco-efficiency and SMEs in Nova Scotia, Canada[J]. Journal of Cleaner Production, 2006, 14(7): 542-550.
[23] Kharel G P, Charmondusit K. Eco-efficiency evaluation of iron rod industry in Nepal[J]. Journal of Cleaner Production, 2008, 16(13): 1379-1387.
[24] Wang S J, Cui Z T, Lin J J, et al. The coupling relationship between urbanization and ecological resilience in the Pearl River Delta[J]. Journal of Geographical Sciences, 2022, 32(1): 44-64.
[25] 付丽娜, 陈晓红, 冷智花. 基于超效率DEA模型的城市群生态效率研究——以长株潭“3+5”城市群为例[J]. 中国人口·资源与环境, 2013, 23(4): 169-175.
[25] [Fu Lina, Chen Xiaohong, Leng Zhihua. Urban agglomerations eco-efficiency analysis based on super-efficienty DEA model: Case study of Chang-Zhu-Tan “3+5” urban agglomeration[J]. China Population, Resources and Environment, 2013, 23(4): 169-175.]
[26] 史丹, 王俊杰. 基于生态足迹的中国生态压力与生态效率测度与评价[J]. 中国工业经济, 2016, 33(5): 5-21.
[26] [Shi Dan, Wang Junjie. Measurement and evaluation of China’s ecological pressure and ecological efficiency based on ecological footprint[J]. China Industrial Economics, 2016, 33(5): 5-21.]
[27] Moutinho V, Fuinhas J A, Marques A C, et al. Assessing eco-efficiency through the DEA analysis and decoupling index in the Latin America countries[J]. Journal of Cleaner Production, 2018, 205: 512-524.
[28] Wang X M, Ding H, Liu L. Eco-efficiency measurement of industrial sectors in China: A hybrid super-efficiency DEA analysis[J]. Journal of Cleaner Production, 2019, 229: 53-64.
[29] 倪颖, 文传浩. 生态效率测度方法及应用研究综述[J]. 贵州商学院学报, 2019, 32(1): 73-78.
[29] [Ni Ying, Wen Chuanhao. A summary of research on ecological efficiency measurement methods and applications[J]. Journal of Guizhou University of Commerce, 2019, 32(1): 73-78.]
[30] 赵哲, 白羽萍, 胡兆民, 等. 基于超效率DEA的呼伦贝尔地区草牧业生态效率评价及影响因素分析[J]. 生态学报, 2018, 38(22): 7968-7978.
[30] [Zhao Zhe, Bai Yuping, Hu Zhaomin, et al. Evaluation of ecological efficiency and factors influencing grassland animal husbandry in the Hulunbuir region based on a super-efficiency DEA model[J]. Acta Ecologica Sinica, 2018, 38(22): 7968-7978.]
[31] Moutinho V, Madaleno M, Robaina M. The economic and environmental efficiency assessment in EU cross-country: Evidence from DEA and quantile regression approach[J]. Ecological Indicators, 2017, 78(7): 85-97.
[32] Tone K. A slacks-based measure of efficiency in data envelopment analysis[J]. European Journal of Operational Research, 2001, 130(3): 498-509.
[33] 张筱娟, 汤琪凤, 张镇. 黄河流域城市韧性空间分异特征及其影响因素识别[J]. 地域研究与开发, 2022, 41(6): 48-54.
[33] [Zhang Xiaojuan, Tang Qifeng, Zhang Zhen. Spatial differentiation characteristics and its influencing factors of urban resilience in the Yellow River Basin[J]. Areal Research and Development, 2022, 41(6): 48-54.]
Options
Outlines

/

〈 〉