IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i10p1100-d658294.html
   My bibliography  Save this article

Research on the Spatial Differences and Convergence Mechanism of Urban Land Use Efficiency under the Background of Regional Integration: A Case Study of the Yangtze River Economic Zone, China

Author

Listed:
  • Kun Ge

    (Department of Engineering Management and Real Estate, College of City Construction, Jiangxi Normal University, Nanchang 330022, China
    Institute of Real Estate, Jiangxi Normal University, Nanchang 330022, China)

  • Shan Zou

    (Department of Engineering Management and Real Estate, College of City Construction, Jiangxi Normal University, Nanchang 330022, China
    Institute of Real Estate, Jiangxi Normal University, Nanchang 330022, China)

  • Danling Chen

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

  • Xinhai Lu

    (School of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Shangan Ke

    (School of Public Administration, Central China Normal University, Wuhan 430079, China)

Abstract

Revealing the spatial differences and convergence mechanism of urban land use efficiency (ULUE) under the background of regional integration is of great significance for exploring the coordinated promotion path of ULUE. We attempted to build a theoretical framework to interpret ULUE spatial convergence under the background of regional integration and build a ULUE “green” evaluation system under multi-objective constraints. Based on this, we employed the super efficiency slack-based model (SBM), exploratory spatial data analysis, and spatial convergence model incorporated into the spatial weight matrix to re-examine the true level, spatial differences, and convergence mechanism of ULUE in the Yangtze River Economic Zone from 2003 to 2019 on a city scale. The results show that: (1) during the investigation period, ULUE in the Yangtze River Economic Zone has obvious spatial disequilibrium and spatial correlation characteristics; (2) there are absolute β-space convergence and conditional β-space convergence of ULUE in the whole Yangtze River Economic Zone and its upstream, midstream, and downstream areas; (3) driven by government management, industrial development, and spatial error effects, the convergence time of ULUE in the whole Yangtze River Economic Zone and its upstream, midstream, and downstream areas is obviously shortened.

Suggested Citation

  • Kun Ge & Shan Zou & Danling Chen & Xinhai Lu & Shangan Ke, 2021. "Research on the Spatial Differences and Convergence Mechanism of Urban Land Use Efficiency under the Background of Regional Integration: A Case Study of the Yangtze River Economic Zone, China," Land, MDPI, vol. 10(10), pages 1-20, October.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:10:p:1100-:d:658294
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/10/1100/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/10/1100/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arouri, Mohamed & Teulon, Frédéric & Rault, Christophe, 2013. "Equity risk premium and regional integration," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 79-85.
    2. repec:ipg:wpaper:6 is not listed on IDEAS
    3. Khaled Guesmi & Frédéric Teulon, 2013. "Regional Equity Risk Premium Convergence: The case of Japan," Working Papers 2013-6, Department of Research, Ipag Business School.
    4. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    5. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    6. Richard V. Burkhauser & Ludmila Rovba, 2006. "Income Inequality in the 1990s: Comparing the United States, Great Britain and Germany," Discussion Papers of DIW Berlin 576, DIW Berlin, German Institute for Economic Research.
    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. Liangen Zeng, 2022. "The Driving Mechanism of Urban Land Green Use Efficiency in China Based on the EBM Model with Undesirable Outputs and the Spatial Dubin Model," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    2. Mengba Liu & Ping Hu & Anlu Zhang, 2025. "Spatiotemporal Evolution and Spatial Correlation Network Characteristics of Urban Land Green Use Efficiency in China: A Network Centrality Analysis Perspective," Land, MDPI, vol. 14(6), pages 1-25, May.
    3. Tian, Yuan & Sun, Chuanwang & Ren, Yi & Liu, Kang & Zuo, Zulin, 2023. "Tax competition, spatial correlation and regional integration development——Evidence from the Yangtze River Delta," Energy Policy, Elsevier, vol. 181(C).
    4. Xinhai Lu & Xiangqian Tao, 2023. "Local Government Environmental Attention and Urban Land Green Use Efficiency in China: The Intermediary Role of Industrial Restructuring," Land, MDPI, vol. 13(1), pages 1-18, December.
    5. Kun Ge & Shan Zou & Xinhai Lu & Shangan Ke & Danling Chen & Zhangsheng Liu, 2022. "Dynamic Evolution and the Mechanism behind the Coupling Coordination Relationship between Industrial Integration and Urban Land-Use Efficiency: A Case Study of the Yangtze River Economic Zone in China," Land, MDPI, vol. 11(2), pages 1-22, February.
    6. Jinhua Liu & Xiaozhou Huang, 2024. "Spatio-Temporal Evolution and Drivers of High-Quality Utilization of Urban Land in Chinese Cities," Land, MDPI, vol. 13(7), pages 1-15, July.
    7. Xinhai Lu & Zhenxing Shi & Jia Li & Junhao Dong & Mingjie Song & Jiao Hou, 2022. "Research on the Impact of Factor Flow on Urban Land Use Efficiency from the Perspective of Urbanization," Land, MDPI, vol. 11(3), pages 1-17, March.
    8. Zhang Zhang & Huimin Zhou & Shuxian Li & Zhibin Zhao & Junbo Xu & Yuansuo Zhang, 2024. "Study on the Spatiotemporal Evolution of Urban Land Use Efficiency in the Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 16(7), pages 1-27, April.
    9. Zhangsheng Liu & Binbin Lai & Shuangyin Wu & Xiaotian Liu & Qunhong Liu & Kun Ge, 2022. "Growth Targets Management, Regional Competition and Urban Land Green Use Efficiency According to Evidence from China," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    10. Fanchao Kong & Kaixiao Zhang & Hengshu Fu & Lina Cui & Yang Li & Tengteng Wang, 2023. "Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    11. 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.
    12. Zhenggen Fan & Wentong Xia & Hu Yu & Ji Liu & Binghua Liu, 2024. "Spatiotemporal Pattern and Spatial Convergence of Land Use Carbon Emission Efficiency in the Pan-Pearl River Delta: Based on the Difference in Land Use Carbon Budget," Land, MDPI, vol. 13(5), pages 1-27, May.
    13. Mingzhi Zhang & Hongyu Liu & Yangyue Su & Xiangyu Zhou & Zhaocheng Li & Chao Chen, 2022. "Assessment and Decomposition of Regional Land Use Efficiency of the Service Sector in China," Land, MDPI, vol. 11(11), pages 1-19, October.
    14. Zhongchun Xu & Hongqin Chen & Wei Song, 2024. "Spatial–Temporal Pattern of Urban Land Green Use Efficiency and Its Influencing Factors in Guizhou Province, China, Based on County Units," Land, MDPI, vol. 13(12), pages 1-24, December.
    15. Yuan, Yana & Wei, Shuping & Wan, Dongqi & Liu, Dewen, 2024. "A study of land-economy-society-ecology coordination in the Yangtze River Delta based on coupled coordination degree model," International Review of Economics & Finance, Elsevier, vol. 95(C).
    16. Qixuan Li & Ying Xu & Xu Yang & Ke Chen, 2023. "Unveiling the Regional Differences and Convergence of Urban Sprawl in China, 2006–2019," Land, MDPI, vol. 12(1), pages 1-15, January.

    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. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    2. Bin Yang & Ying Wang & Yan Li & Lizi Mo, 2023. "Empirical Investigation of Cultivated Land Green Use Efficiency and Influencing Factors in China, 2000–2020," Land, MDPI, vol. 12(8), pages 1-17, August.
    3. Yuan Feng & Ying Li & Changfei Nie, 2023. "The Effect of Place-Based Policy on Urban Land Green Use Efficiency: Evidence from the Pilot Free-Trade Zone Establishment in China," Land, MDPI, vol. 12(3), pages 1-19, March.
    4. Xinfeng Zuo & Xiekui Zhang, 2025. "How Do Innovation-Driven Policies Affect Urban Green Land Use Efficiency? Evidence from China’s Innovative City Pilot Policy," Land, MDPI, vol. 14(5), pages 1-22, May.
    5. Mengchao Yao & Jinjun Duan & Qingsong Wang, 2022. "Spatial and Temporal Evolution Analysis of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(11), pages 1-20, May.
    6. Liguo Zhang & Luchen Huang & Jinglin Xia & Kaifeng Duan, 2022. "Spatial-Temporal Evolution and Its Influencing Factors on Urban Land Use Efficiency in China’s Yangtze River Economic Belt," Land, MDPI, vol. 12(1), pages 1-19, December.
    7. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    8. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    9. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    10. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    11. Baihui Jin & Wei Li, 2025. "Spatial Effects and Driving Factors of Consumption Upgrades on Municipal Solid Waste Eco-Efficiency, Considering Emission Outputs," Sustainability, MDPI, vol. 17(6), pages 1-30, March.
    12. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    13. Le Sun & Congmou Zhu & Shaofeng Yuan & Lixia Yang & Shan He & Wuyan Li, 2022. "Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    14. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    15. Zhen Wang & Xupeng Zhang & Chaozheng Zhang & Qing Yang, 2022. "How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 19(13), pages 1-16, June.
    16. Artur Wyszyński, 2017. "Sytuacja finansowa klubów Ekstraklasy w ujęciu metody DEA," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 69-99.
    17. Wang, Xiuli, 2023. "Exploring the role of resource industry dependence and green finance in green development efficiency in the context of post-Covid-19 period," Resources Policy, Elsevier, vol. 85(PB).
    18. Can Zhang & Jixia Li, 2024. "The Impact of Official Promotion Incentives on Urban Ecological Welfare Performance and Its Spatial Effect," Sustainability, MDPI, vol. 16(7), pages 1-29, April.
    19. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    20. Zhao, Xing & Guo, Yifan & Feng, Tianchu, 2023. "Towards green recovery: Natural resources utilization efficiency under the impact of environmental information disclosure," Resources Policy, Elsevier, vol. 83(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jlands:v:10:y:2021:i:10:p:1100-:d:658294. 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.