IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i24p16478-d997398.html
   My bibliography  Save this article

Influence Mechanism of Polycentric Spatial Structure on Urban Land Use Efficiency: A Moderated Mediation Model

Author

Listed:
  • Di Zhu

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Yinghong Wang

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

  • Shangui Peng

    (School of Economics and Management, Shandong Agricultural University, Tai’ an 271018, China)

  • Fenglin Zhang

    (School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Under the background of green development, the spatial structure of urban agglomerations (UA) has an important impact on urban land use efficiency (ULUE), but few studies have explored the impact mechanism between the two. This research explores the impacts of polycentric development on ULUE of UA, using data for 140 cities in China’s top ten key UA covering the period from 2004–2019. The linkage between polycentric development and ULUE is explored by estimating models of determinants of ULUE. This research also examines the mechanism of the polycentric spatial structure of UA on ULUE by using a moderated mediation model. The main findings of the research can be concluded as below. The eastern UAs show a mostly polycentric spatial structure, whereas the central and western UAs show a weak polycentric spatial structure. The polycentric spatial structure of UA has a positive impact on ULUE. An inverted U-shape curve depicts the relationship between the polycentric spatial structure of UA and ULUE. However, the mediating variables, integration of industrial structure and factor mobility have a positive and partially mediating effect between the polycentric spatial structure of UA and ULUE. The infrastructure level has a positive U-shaped regulation effect, in which the impact coefficient of transport infrastructure is more significant. These findings provide empirical evidence for the coordinated development of China’s regional space planning and ULUE.

Suggested Citation

  • Di Zhu & Yinghong Wang & Shangui Peng & Fenglin Zhang, 2022. "Influence Mechanism of Polycentric Spatial Structure on Urban Land Use Efficiency: A Moderated Mediation Model," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16478-:d:997398
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/24/16478/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/24/16478/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yue, Wenze & Wang, Tianyu & Liu, Yong & Zhang, Qun & Ye, Xinyue, 2019. "Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage," Land Use Policy, Elsevier, vol. 88(C).
    2. Zhu, Xinhua & Li, Yan & Zhang, Peifeng & Wei, Yigang & Zheng, Xuyang & Xie, Lingling, 2019. "Temporal–spatial characteristics of urban land use efficiency of China’s 35mega cities based on DEA: Decomposing technology and scale efficiency," Land Use Policy, Elsevier, vol. 88(C).
    3. Evert J Meijers & Martijn J Burger, 2010. "Spatial Structure and Productivity in US Metropolitan Areas," Environment and Planning A, , vol. 42(6), pages 1383-1402, June.
    4. Jing Huang & Dongqian Xue, 2019. "Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    5. Wan Li & Bindong Sun & Tinglin Zhang & Zhifan Zhang, 2022. "Polycentric spatial structure and its economic performance: evidence from meta-analysis," Regional Studies, Taylor & Francis Journals, vol. 56(11), pages 1888-1902, November.
    6. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    7. Evert Meijers & Martijn Burger & Edward L. Glaeser & Giacomo A. M. Ponzetto & Yimei Zou, 2016. "Urban networks: Connecting markets, people, and ideas," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 17-59, March.
    8. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    9. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    10. Evert Meijers & Martijn Burger & Evert J. Meijers & Martijn J. Burger & Marloes M. Hoogerbrugge, 2016. "Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 181-198, March.
    11. Siqi Yan & Jian Wang, 2022. "Does Polycentric Development Improve Green Utilization Efficiency of Urban Land? An Empirical Study Based on Panel Threshold Model Approach," Land, MDPI, vol. 11(1), pages 1-17, January.
    12. Yafen He & Hualin Xie & Yuanhua Fan & Wei Wang & Xue Xie, 2016. "Forested Land Use Efficiency in China: Spatiotemporal Patterns and Influencing Factors from 1999 to 2010," Sustainability, MDPI, vol. 8(8), pages 1-17, August.
    13. Harry Odell & Eva María Navarro-López & Nuno Pinto & Iain Deas, 2022. "Detecting shifts in metropolitan structure: A spatial network perspective," Environment and Planning B, , vol. 49(7), pages 1912-1928, September.
    14. Xia, Chang & Zhang, Anqi & Wang, Haijun & Liu, Jiafeng, 2020. "Delineating early warning zones in rapidly growing metropolitan areas by integrating a multiscale urban growth model with biogeography-based optimization," Land Use Policy, Elsevier, vol. 90(C).
    15. Kui Yang & Taiyang Zhong & Yu Zhang & Qi Wen, 2020. "Total factor productivity of urban land use in China," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1784-1803, December.
    16. Evert Meijers & Marloes Hoogerbrugge & Rodrigo Cardoso, 2018. "Beyond Polycentricity: Does Stronger Integration Between Cities in Polycentric Urban Regions Improve Performance?," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 109(1), pages 1-21, February.
    17. Kai Zhu & Manya Tu & Yingcheng Li, 2022. "Did Polycentric and Compact Structure Reduce Carbon Emissions? A Spatial Panel Data Analysis of 286 Chinese Cities from 2002 to 2019," Land, MDPI, vol. 11(2), pages 1-15, January.
    18. Zhichao Li & Helen Gurgel & Minmin Li & Nadine Dessay & Peng Gong, 2022. "Urban Land Expansion from Scratch to Urban Agglomeration in the Federal District of Brazil in the Past 60 Years," IJERPH, MDPI, vol. 19(3), pages 1-19, January.
    19. John Parr, 2004. "The Polycentric Urban Region: A Closer Inspection," Regional Studies, Taylor & Francis Journals, vol. 38(3), pages 231-240.
    20. Xinhai Lu & Mengcheng Wang & Yifeng Tang, 2021. "The Spatial Changes of Transportation Infrastructure and Its Threshold Effects on Urban Land Use Efficiency: Evidence from China," Land, MDPI, vol. 10(4), pages 1-15, March.
    21. Qiaowen Lin & Huiting Ling, 2021. "Study on Green Utilization Efficiency of Urban Land in Yangtze River Delta," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    22. Andres Dominguez & Hernán Enríquez Sierra & Nicolás Cuervo Ballesteros, 2021. "Regional Spatial Structure and Land Use: Evidence from Bogotá and 17 Municipalities," Land, MDPI, vol. 10(9), pages 1-22, August.
    23. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    24. Xuan Luo & Zhaomin Tong & Yifan Xie & Rui An & Zhaochen Yang & Yanfang Liu, 2022. "Land Use Change under Population Migration and Its Implications for Human–Land Relationship," Land, MDPI, vol. 11(6), pages 1-22, June.
    25. Jinfeng Ma & Weifeng Li & Zhao Wang & Liang He & Lijian Han, 2022. "Measuring Multi-Faceted Land Use Efficiency of Large-Scale Urban Agglomerations under Multi-Scale Drivers: Evidence from China," Land, MDPI, vol. 11(1), pages 1-15, January.
    26. Gao, Xin & Zhang, Anlu & Sun, Zhanli, 2020. "How regional economic integration influence on urban land use efficiency？ A case study of Wuhan metropolitan area, China," Land Use Policy, Elsevier, vol. 90(C).
    27. Chen, Xu & Chen, Xueli & Song, Malin, 2021. "Polycentric agglomeration, market integration and green economic efficiency," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 185-197.
    28. Henry Karamuriro Tumwebaze & Alex Thomas Ijjo, 2015. "Regional Economic Integration and Economic Growth in the COMESA Region, 1980–2010," African Development Review, African Development Bank, vol. 27(1), pages 67-77, March.
    29. 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.
    30. Wan Li & Bindong Sun & Tinglin Zhang, 2019. "Spatial structure and labour productivity: Evidence from prefectures in China," Urban Studies, Urban Studies Journal Limited, vol. 56(8), pages 1516-1532, June.
    31. Hangang Hu & Lisha Pan & Xin Jing & Guan Li & Yuefei Zhuo & Zhongguo Xu & Yang Chen & Xueqi Wang, 2022. "The Spatiotemporal Non-Stationary Effect of Industrial Agglomeration on Urban Land Use Efficiency: A Case Study of Yangtze River Delta, China," Land, MDPI, vol. 11(5), pages 1-27, May.
    32. 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.
    33. Melo, Patricia C. & Graham, Daniel J. & Noland, Robert B., 2009. "A meta-analysis of estimates of urban agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 39(3), pages 332-342, May.
    34. Zhao, Qianyu & Bao, Helen X.H. & Zhang, Zhanlu, 2021. "Off-farm employment and agricultural land use efficiency in China," Land Use Policy, Elsevier, vol. 101(C).
    35. Peng Wang & Zinan Shao & Jian Wang & Qun Wu, 2021. "The impact of land finance on urban land use efficiency: A panel threshold model for Chinese provinces," Growth and Change, Wiley Blackwell, vol. 52(1), pages 310-331, March.
    36. Shuangjin Wang & Richard J. Cebula & Xiaowei Liu & Maggie Foley, 2021. "Housing prices and urban land use efficiency," Applied Economics Letters, Taylor & Francis Journals, vol. 28(13), pages 1121-1124, July.
    37. Xingye Tan & Bo Huang & Michael Batty & Jing Li, 2021. "Urban Spatial Organization, Multifractals, and Evolutionary Patterns in Large Cities," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 111(5), pages 1539-1558, July.
    38. Xie, Xue & Fang, Bin & Xu, Hanzeyu & He, Shasha & Li, Xin, 2021. "Study on the coordinated relationship between Urban Land use efficiency and ecosystem health in China," Land Use Policy, Elsevier, vol. 102(C).
    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. Kaiwen Liu & Hongbing Deng & Ting Wu & Yang Yi & Yao Zhang & Yunlong Ren, 2023. "Technological Innovation, Urban Spatial Structure, and Haze Pollution: Empirical Evidence from the Middle Reaches of the Yangtze River Urban Agglomeration," Energies, MDPI, vol. 16(18), pages 1-25, September.
    2. Yongwang Cao & Xiong He & Chunshan Zhou, 2023. "Characteristics and Influencing Factors of Population Migration under Different Population Agglomeration Patterns—A Case Study of Urban Agglomeration in China," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    3. Xu Yang & Xuan Zou & Ming Li & Zeyu Wang, 2024. "The Decarbonization Effect of the Urban Polycentric Structure: Empirical Evidence from China," Land, MDPI, vol. 13(2), pages 1-17, February.

    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. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    2. Han Chen & Chunyu Meng & Qilin Cao, 2022. "Measurement and Influencing Factors of Low Carbon Urban Land Use Efficiency—Based on Non-Radial Directional Distance Function," Land, MDPI, vol. 11(7), pages 1-16, July.
    3. Huifang Cheng & Ting Yu & Hao Zhang & Kaifeng Duan & Jianing Zhu, 2022. "Dynamic Estimation of Urban Land Use Efficiency and Sustainability Analysis in China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    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. 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.
    6. Yahong Liu & Hailian Sun & Lei Shi & Huimin Wang & Zhai Xiu & Xiao Qiu & Hong Chang & Yu Xie & Yang Wang & Chengjie Wang, 2021. "Spatial-Temporal Changes and Driving Factors of Land-Use Eco-Efficiency Incorporating Ecosystem Services in China," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    7. Chengzhen Song & Qingfang Liu & Jinping Song & Zhengyun Jiang & Zhilin Lu & Yueying Chen, 2022. "Land Use Efficiency in the Yellow River Basin in the Background of China’s Economic Transformation: Spatial-Temporal Characteristics and Influencing Factors," Land, MDPI, vol. 11(12), pages 1-22, December.
    8. 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.
    9. 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.
    10. Yue Zhou & Yi Chen & Yi Hu, 2021. "Assessing Efficiency of Urban Land Utilisation under Environmental Constraints in Yangtze River Delta, China," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    11. Bindong Sun & Tinglin Zhang & Wan Li & Yan Song, 2022. "Effects of Polycentricity on Economic Performance and Its Dependence on City Size: The Case of China," Land, MDPI, vol. 11(9), pages 1-19, September.
    12. Peng Ji & Lilin Yuan, 2023. "Whether polycentric spatial structure is conducive to regional coordinated development: A study on urban agglomerations in China," Growth and Change, Wiley Blackwell, vol. 54(4), pages 940-961, December.
    13. Malin Song & Weiliang Tao, 2022. "Coupling and coordination analysis of China's regional urban‐rural integration and land‐use efficiency," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1384-1413, September.
    14. Wenfang Fu & Chuanjian Luo & Modan Yan, 2023. "Does Urban Agglomeration Promote the Development of Cities? Evidence from the Urban Network Externalities," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    15. Jiejing Wang, 2020. "Urban government capacity and economic performance: An analysis of Chinese cities," Environment and Planning A, , vol. 52(5), pages 981-1004, August.
    16. Xinhai Lu & Yifeng Tang & Shangan Ke, 2021. "Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China," Land, MDPI, vol. 10(3), pages 1-15, March.
    17. 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.
    18. Zhongming Li & Wei Fu & Mingcan Luo & Jiancheng Chen, 2022. "The Coupling Coordination between the Competitiveness Level and Land Use Efficiency of Green Food Industry in China," Land, MDPI, vol. 11(12), pages 1-22, November.
    19. Yi Qu & Xiao Lyu & Wenlong Peng & Zongfei Xin, 2021. "How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China," Land, MDPI, vol. 10(8), pages 1-18, July.
    20. Wan Li & Bindong Sun & Tinglin Zhang, 2019. "Spatial structure and labour productivity: Evidence from prefectures in China," Urban Studies, Urban Studies Journal Limited, vol. 56(8), pages 1516-1532, June.

    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:jijerp:v:19:y:2022:i:24:p:16478-:d:997398. 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.