IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i19p5288-d270755.html
   My bibliography  Save this article

Spatio-Temporal Distributions of the Land Use Efficiency Coupling Coordination Degree in Mining Cities of Western China

Author

Listed:
  • Junfang Yuan

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Zhengfu Bian

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Qingwu Yan

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Yuanqing Pan

    (Land and Resources in Henan province Scientific Research Institute, Zhengzhou 450001, China)

Abstract

A high coupling coordination degree of urban land use efficiency promotes sustainable regional economic development. In this study, land use efficiency coupling coordination degrees were calculated for 36 mining cities of western China, with a focus on economic, social, and ecological benefits for land use efficiency. Four years (2000, 2005, 2010, and 2015) of data were selected. A land use efficiency index system was generated and the improved entropy method was used to calculate the index weights of land use efficiency for each year. The spatial distributions of the coupling coordination degree were assessed by the ArcGIS spatial analysis tool. Spatial correlation analysis was conducted for the coupling coordination degree. The following conclusions could be drawn: (1) According to the composite index results, urban land use efficiency could be divided into three stages and showed several different time patterns in mining cities of western China; (2) analysis of the spatial and temporal distributions of the land use efficiency coupling coordination degree identified a low level of coupling coordination and reluctant coupling coordination. An obvious core-periphery and gradual trickle-down trend was observed; (3) the land use efficiency of western mining cities presents negative and positive spatial autocorrelation characteristics. Shizuishan city, Ordos city, Jinchang city, and Wuhai city have significant aggregation types. Therefore, the western mining cities were subjected to different complex time and space characteristics.

Suggested Citation

  • Junfang Yuan & Zhengfu Bian & Qingwu Yan & Yuanqing Pan, 2019. "Spatio-Temporal Distributions of the Land Use Efficiency Coupling Coordination Degree in Mining Cities of Western China," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5288-:d:270755
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/19/5288/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/19/5288/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liming Zhao & Ling Li & Yujie Wu, 2017. "Research on the Coupling Coordination of a Sea–Land System Based on an Integrated Approach and New Evaluation Index System: A Case Study in Hainan Province, China," Sustainability, MDPI, vol. 9(5), pages 1-25, May.
    2. Wang, Zheng-Xin & Li, Qin & Pei, Ling-Ling, 2018. "A seasonal GM(1,1) model for forecasting the electricity consumption of the primary economic sectors," Energy, Elsevier, vol. 154(C), pages 522-534.
    3. Masahisa Fujita, 1985. "Towards general equilibrium models of urban land use," Revue Économique, Programme National Persée, vol. 36(1), pages 135-168.
    4. Bertaud, Alain & Malpezzi, Stephen, 2001. "Measuring the Costs and Benefits of Urban Land Use Regulation: A Simple Model with an Application to Malaysia," Journal of Housing Economics, Elsevier, vol. 10(3), pages 393-418, September.
    5. Xiaodong Yang & Yongxiang Wu & Hang Dang, 2017. "Urban Land Use Efficiency and Coordination in China," Sustainability, MDPI, vol. 9(3), pages 1-12, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kun Wang & Yingkai Tang & Yaozhi Chen & Longwen Shang & Xuanming Ji & Mengchao Yao & Ping Wang, 2020. "The Coupling and Coordinated Development from Urban Land Using Benefits and Urbanization Level: Case Study from Fujian Province (China)," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    2. Chuchu Zhang & Peng Wang & Pingsheng Xiong & Chunhong Li & Bin Quan, 2021. "Spatial Pattern Simulation of Land Use Based on FLUS Model under Ecological Protection: A Case Study of Hengyang City," Sustainability, MDPI, vol. 13(18), pages 1-18, September.
    3. Mengtian Zhang & Huiling Wang, 2023. "Evolution of Industrial Ecology and Analysis of Influencing Factors: The Yellow River Basin in China," Land, MDPI, vol. 12(7), pages 1-21, June.
    4. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    5. Xuanxuan Xia & Kexin Lin & Yang Ding & Xianlei Dong & Huijun Sun & Beibei Hu, 2020. "Research on the Coupling Coordination Relationships between Urban Function Mixing Degree and Urbanization Development Level Based on Information Entropy," IJERPH, MDPI, vol. 18(1), pages 1-24, December.
    6. Binbin Chang & Lei Chen, 2021. "Land Economic Efficiency and Improvement of Environmental Pollution in the Process of Sustainable Urbanization: Case of Eastern China," Land, MDPI, vol. 10(8), pages 1-23, August.
    7. Yu Liu & Fangchen Shi & Hongman He & Liyin Shen & Wenzhu Luo & Lingyun Sun, 2021. "Study on the Matching Degree between Land Resources Carrying Capacity and Industrial Development in Main Cities of Xinjiang, China," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    8. Min Zhao & Rong Liu & Debao Dai, 2021. "Synergistic Effect between China’s Digital Transformation and Economic Development: A Study Based on Sustainable Development," Sustainability, MDPI, vol. 13(24), pages 1-19, December.
    9. Weiping Zhang & Peiji Shi & Huali Tong, 2022. "Research on Construction Land Use Benefit and the Coupling Coordination Relationship Based on a Three-Dimensional Frame Model—A Case Study in the Lanzhou-Xining Urban Agglomeration," Land, MDPI, vol. 11(4), pages 1-16, March.
    10. Guiwen Liu & Cheng Li & Taozhi Zhuang & Yuhan Zheng & Hongjuan Wu & Jian Tang, 2022. "Determining the Spatial Distribution Characteristics of Urban Regeneration Projects in China on the City Scale: The Case of Shenzhen," Land, MDPI, vol. 11(8), pages 1-27, July.
    11. Shu Wang & Fenglian Liu, 2023. "Spatiotemporal Evolution of Land Use Efficiency in Southwest Mountain Area of China: A Case Study of Yunnan Province," Agriculture, MDPI, vol. 13(7), pages 1-24, July.
    12. Yang Zheng & Linlin Cheng & Yifang Wang, 2022. "Measuring the Spatial Conflict of Resource-Based Cities and Its Coupling Coordination Relationship with Land Use," Land, MDPI, vol. 11(9), pages 1-16, September.
    13. Chenyang Wu & Yichen Zhang & Jiquan Zhang & Yanan Chen & Chenyu Duan & Jiawei Qi & Zhongshuai Cheng & Zengkai Pan, 2022. "Comprehensive Evaluation of the Eco-Geological Environment in the Concentrated Mining Area of Mineral Resources," Sustainability, MDPI, vol. 14(11), pages 1-19, June.
    14. Xuanming Ji & Kun Wang & Tao Ji & Yihua Zhang & Kun Wang, 2020. "Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City," Land, MDPI, vol. 9(5), pages 1-20, May.
    15. Fei Shi & Yuanyuan Lu & Longgao Chen & Wei-Ling Hsu, 2023. "Evaluation of the Sustainable Use of Land Resources in the Cities along the Jiangsu Section of the Beijing–Hangzhou Grand Canal," Land, MDPI, vol. 12(6), pages 1-20, June.
    16. Yedong Chen & Jiang Chang & Zixuan Li & Li Ming & Cankun Li & Cheng Li, 2023. "Coupling Coordination and Spatiotemporal Analysis of Urban Compactness and Land-Use Efficiency in Resource-Based Areas: A Case Study of Shanxi Province, China," Land, MDPI, vol. 12(9), pages 1-23, August.
    17. Qing Liu & Dongdong Yang & Lei Cao, 2022. "Evolution and Prediction of the Coupling Coordination Degree of Production–Living–Ecological Space Based on Land Use Dynamics in the Daqing River Basin, China," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    18. Zhenggen Fan & Qingqing Luo & Hu Yu & Ji Liu & Wentong Xia, 2023. "Spatial–Temporal Evolution of the Coupling Coordination Degree between Water and Land Resources Matching and Cultivated Land Use Eco-Efficiency: A Case Study of the Major Grain-Producing Areas in the ," Land, MDPI, vol. 12(5), pages 1-18, April.
    19. Xufeng Cui & Sheng Yang & Guanghong Zhang & Bin Liang & Fei Li, 2020. "An Exploration of a Synthetic Construction Land Use Quality Evaluation Based on Economic-Social-Ecological Coupling Perspective: A Case Study in Major Chinese Cities," IJERPH, MDPI, vol. 17(10), pages 1-16, May.
    20. Yaqi Hu & Yingzi Chen, 2022. "Coupling of Urban Economic Development and Transportation System: An Urban Agglomeration Case," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    21. Wei Xu & Jiahui Yi & Jinhua Cheng, 2022. "The Heterogeneity of High-Quality Economic Development in China’s Mining Cities: A Meta Frontier Function," IJERPH, MDPI, vol. 19(11), pages 1-23, May.
    22. Houtian Tang & Yuanlai Wu & Jinxiu Chen & Liuxin Deng & Minjie Zeng, 2022. "How Does Change in Rural Residential Land Affect Cultivated Land Use Efficiency? An Empirical Study Based on 42 Cities in the Middle Reaches of the Yangtze River," Land, MDPI, vol. 11(12), pages 1-20, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xuanming Ji & Kun Wang & Tao Ji & Yihua Zhang & Kun Wang, 2020. "Coupling Analysis of Urban Land Use Benefits: A Case Study of Xiamen City," Land, MDPI, vol. 9(5), pages 1-20, May.
    2. Junfei Chen & Xiaoya Yu & Lei Qiu & Menghua Deng & Ran Dong, 2018. "Study on Vulnerability and Coordination of Water-Energy-Food System in Northwest China," Sustainability, MDPI, vol. 10(10), pages 1-25, October.
    3. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    4. Zhang, Meng & Guo, Huan & Sun, Ming & Liu, Sifeng & Forrest, Jeffrey, 2022. "A novel flexible grey multivariable model and its application in forecasting energy consumption in China," Energy, Elsevier, vol. 239(PE).
    5. Michael Ball, 2011. "Planning Delay and the Responsiveness of English Housing Supply," Urban Studies, Urban Studies Journal Limited, vol. 48(2), pages 349-362, February.
    6. Li, Nu & Wang, Jianliang & Wu, Lifeng & Bentley, Yongmei, 2021. "Predicting monthly natural gas production in China using a novel grey seasonal model with particle swarm optimization," Energy, Elsevier, vol. 215(PA).
    7. Lisha Pan & Hangang Hu & Xin Jing & Yang Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Xueqi Wang, 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-16, June.
    8. Weiping Zhang & Peiji Shi & Huali Tong, 2022. "Research on Construction Land Use Benefit and the Coupling Coordination Relationship Based on a Three-Dimensional Frame Model—A Case Study in the Lanzhou-Xining Urban Agglomeration," Land, MDPI, vol. 11(4), pages 1-16, March.
    9. Shujing Fu & Xuexia Zhang & Wenhui Kuang & Changqing Guo, 2022. "Characteristics of Changes in Urban Land Use and Efficiency Evaluation in the Qinghai–Tibet Plateau from 1990 to 2020," Land, MDPI, vol. 11(5), pages 1-16, May.
    10. Brueckner, Jan K., 2013. "Slums in developing countries: New evidence for Indonesia," Journal of Housing Economics, Elsevier, vol. 22(4), pages 278-290.
    11. Jingyi Wang & Kaisi Sun & Jiupai Ni & Deti Xie, 2020. "Evaluation and Factor Analysis of the Intensive Use of Urban Land Based on Technical Efficiency Measurement—A Case Study of 38 Districts and Counties in Chongqing, China," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    12. Lima, Ricardo Carvalho de Andrade & Silveira Neto, Raul da Mota, 2019. "Zoning ordinances and the housing market in developing countries: Evidence from Brazilian municipalities," Journal of Housing Economics, Elsevier, vol. 46(C).
    13. André Grimaud, 1986. "Equilibre spatial et effets de voisinage : une généralisation de l'analyse au cas bidimensionnel," Revue Économique, Programme National Persée, vol. 37(1), pages 67-88.
    14. Kwasi Gyau BAFFOUR AWUAH & Felix N. HAMMOND & Colin A. BOOTH & Jessica E. LAMOND, 2014. "Evolution And Development Of Urban Land Use Planning: Analysis From Human Action Theory Perspective," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 9(2), pages 35-67, May.
    15. Zhiqiang Zhang & Ling Li & Qiuyu Guo, 2022. "The Interactive Relationships between the Tourism-Transportation-Ecological Environment System of Provinces along the ‘Silk Road Economic Belt’ in China," Sustainability, MDPI, vol. 14(5), pages 1-33, March.
    16. Rongtian Zhang & Jianfei Lu, 2022. "Spatial–Temporal Pattern and Convergence Characteristics of Provincial Urban Land Use Efficiency under Environmental Constraints in China," IJERPH, MDPI, vol. 19(17), pages 1-15, August.
    17. Paavo Monkkonen & Lucas Ronconi, 2013. "Land Use Regulations, Compliance and Land Markets in Argentina," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 1951-1969, August.
    18. André Grimaud, 1990. "Boîte d'Edgeworth et théorie de la localisation," Revue Économique, Programme National Persée, vol. 41(3), pages 531-546.
    19. Charles Ka Yui Leung, 2015. "Availability, Affordability and Volatility: The Case of the Hong Kong Housing Market," International Real Estate Review, Global Social Science Institute, vol. 18(3), pages 383-428.
    20. Biyue Lin & Shoukat Iqbal Khattak & Bei Zhao, 2021. "To Relocate Or Not to Relocate: A Logit Regression Model of Factors Influencing Corporate Headquarter Relocation Decision in China," SAGE Open, , vol. 11(3), pages 21582440211, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5288-:d:270755. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.