IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v95y2020ics0264837719323671.html
   My bibliography  Save this article

The impacts of population and agglomeration development on land use intensity: New evidence behind urbanization in China

Author

Listed:
  • Xu, Feng
  • Wang, Zhanqi
  • Chi, Guangqing
  • Zhang, Zhexi

Abstract

The impacts of population growth and agglomeration development on urbanization are complex. They cannot be effectively disentangled by simple fixed-effect regression analyses. This study introduces the land use intensity (LUI) metric to measure urbanization, and further applies quantile and threshold regression models to examine the impacts of population (POP) and agglomeration development (AGD) on land use intensity using a sample of 297 Chinese cities. The results reveal the heterogeneous effects that POP and AGD have on LUI. Variation is also observed in the effects of POP and AGD on LUI by POP/AGD intervals. As POP increases, its pressure on LUI increases. In contrast, the accumulative effects of development are beneficial in restraining overdevelopment of land resources within a specific range. The findings suggest that understanding complex human and development effects provides valuable insights, references, and implications for urban development and land use policies, which can guide cities with greater potential land development space in reducing the risk of unsustainable urbanization. Policies are recommended for ecological construction, city grouping, and sustainable land use.

Suggested Citation

  • Xu, Feng & Wang, Zhanqi & Chi, Guangqing & Zhang, Zhexi, 2020. "The impacts of population and agglomeration development on land use intensity: New evidence behind urbanization in China," Land Use Policy, Elsevier, vol. 95(C).
    • Handle: RePEc:eee:lauspo:v:95:y:2020:i:c:s0264837719323671
    DOI: 10.1016/j.landusepol.2020.104639
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837719323671
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2020.104639?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Deng, Xiangzheng & Huang, Jikun & Rozelle, Scott & Uchida, Emi, 2008. "Growth, population and industrialization, and urban land expansion of China," Journal of Urban Economics, Elsevier, vol. 63(1), pages 96-115, January.
    2. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    3. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    4. Abdel-Rahman, Hesham M., 1990. "Agglomeration economies, types, and sizes of cities," Journal of Urban Economics, Elsevier, vol. 27(1), pages 25-45, January.
    5. Feng, Weilun & Liu, Yansui & Qu, Lulu, 2019. "Effect of land-centered urbanization on rural development: A regional analysis in China," Land Use Policy, Elsevier, vol. 87(C).
    6. 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).
    7. Aydin, Celil & Esen, Ömer, 2018. "Does the level of energy intensity matter in the effect of energy consumption on the growth of transition economies? Evidence from dynamic panel threshold analysis," Energy Economics, Elsevier, vol. 69(C), pages 185-195.
    8. Luca Salvati & Margherita Carlucci, 2015. "Land-use structure, urban growth, and periurban landscape: a multivariate classification of the European cities," Environment and Planning B, , vol. 42(5), pages 801-829, September.
    9. Gabriel, Stuart A. & Rosenthal, Stuart S., 2013. "Urbanization, agglomeration economies, and access to mortgage credit," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 42-50.
    10. Mehmet Caner & Bruce E. Hansen, 2001. "Threshold Autoregression with a Unit Root," Econometrica, Econometric Society, vol. 69(6), pages 1555-1596, November.
    11. Allen J. Scott & Michael Storper, 2015. "The Nature of Cities: The Scope and Limits of Urban Theory," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 39(1), pages 1-15, January.
    12. Wang, Chenglong & Liu, Hui & Zhang, Mengtian, 2020. "Exploring the mechanism of border effect on urban land expansion: A case study of Beijing-Tianjin-Hebei region in China," Land Use Policy, Elsevier, vol. 92(C).
    13. Pflüger, Michael & Tabuchi, Takatoshi, 2010. "The size of regions with land use for production," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 481-489, November.
    14. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.
    15. Chi, Guangqing & Ho, Hung Chak, 2018. "Population stress: A spatiotemporal analysis of population change and land development at the county level in the contiguous United States, 2001–2011," Land Use Policy, Elsevier, vol. 70(C), pages 128-137.
    16. Wang, Jing & Lin, Yifan & Glendinning, Anthony & Xu, Yueqing, 2018. "Land-use changes and land policies evolution in China’s urbanization processes," Land Use Policy, Elsevier, vol. 75(C), pages 375-387.
    17. Keola, Souknilanh & Andersson, Magnus & Hall, Ola, 2015. "Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth," World Development, Elsevier, vol. 66(C), pages 322-334.
    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. Zhipeng Yang & Shijun Wang & Meng Guo & Junfeng Tian & Yingjie Zhang, 2021. "Spatiotemporal Differentiation of Territorial Space Development Intensity and Its Habitat Quality Response in Northeast China," Land, MDPI, vol. 10(6), pages 1-20, May.
    2. Bei He & Xiaoyun Du & Junkang Li & Dan Chen, 2023. "A Effectiveness-and Efficiency-Based Improved Approach for Measuring Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 20(3), pages 1-29, January.
    3. Lin Li & Kaixu Zhao & Xinyu Wang & Sidong Zhao & Xingguang Liu & Weiwei Li, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi," Land, MDPI, vol. 11(3), pages 1-34, March.
    4. Zeng, Chen & Yin, Yizhen & Guo, Luyu & Liu, Chenlu & Zhang, Yang & Huang, Zhengxue, 2024. "Integrating the administrative spillover effect into the spatial governance system to revisit land development: A study in urban-rural fringe areas of Wuhan and neighboring cities, China," Land Use Policy, Elsevier, vol. 139(C).
    5. Lei, Weiqian & Jiao, Limin & Xu, Gang, 2022. "Understanding the urban scaling of urban land with an internal structure view to characterize China’s urbanization," Land Use Policy, Elsevier, vol. 112(C).
    6. Li, Shuoshuo & Liu, Yaobin & Wei, Guoen & Bi, Mo & He, Bao-Jie, 2024. "Carbon surplus or carbon deficit under land use transformation in China?," Land Use Policy, Elsevier, vol. 143(C).
    7. Liu, Jingming & Chen, Haibin & Hou, Xianhui & Zhang, Daojun & Zhang, Hui, 2021. "Time to adopt a context-specific and market-based compensation scheme for a new round of the Grain for Green Program," Land Use Policy, Elsevier, vol. 108(C).
    8. Huanhuan Hua & Amare Wondirad, 2020. "Tourism Network in Urban Agglomerated Destinations: Implications for Sustainable Tourism Destination Development through a Critical Literature Review," Sustainability, MDPI, vol. 13(1), pages 1-16, December.
    9. Andrew Allan & Ali Soltani & Mohammad Hamed Abdi & Melika Zarei, 2022. "Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review," Land, MDPI, vol. 11(8), pages 1-20, August.
    10. Xu, Feng & Chi, Guangqing & Zhang, Zhexi & Yang, Jianxin, 2023. "How does quality regional growth affect land resources dependence in China? Evidence based on spatial Durbin panel models," Resources Policy, Elsevier, vol. 81(C).
    11. Xiuyan Zhao & Changhong Miao, 2022. "Spatial-Temporal Changes and Simulation of Land Use in Metropolitan Areas: A Case of the Zhengzhou Metropolitan Area, China," IJERPH, MDPI, vol. 19(21), pages 1-27, October.
    12. Suxia Zhao & Mengmeng Yin, 2023. "Research on Rural Population/Arable Land/Rural Settlements Association Model and Coordinated Development Path: A Case Analysis of the Yellow River Basin (Henan Section)," IJERPH, MDPI, vol. 20(5), pages 1-15, February.
    13. Lisha Tang & Yingqian Huang & Yanfeng Jiang & Dedong Feng, 2023. "The Spatial Association of Rural Human Settlement System Resilience with Land Use in Hunan Province, China, 2000–2020," Land, MDPI, vol. 12(8), pages 1-18, July.
    14. Krisztina Soreg & Guillermo Bermudez-Gonzalez, 2021. "Measuring the Socioeconomic Development of Selected Balkan Countries and Hungary: A Comparative Analysis for Sustainable Growth," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    15. Yanli Gao & Hongbo Li & Yan Song, 2021. "Interaction Relationship between Urbanization and Land Use Multifunctionality: Evidence from Han River Basin, China," Land, MDPI, vol. 10(9), pages 1-21, September.
    16. Hui Yang & Liang Zheng & Ying Wang & Jiangfeng Li & Bowen Zhang & Yuzhe Bi, 2022. "Quantifying the Relationship between Land Use Intensity and Ecosystem Services’ Value in the Hanjiang River Basin: A Case Study of the Hubei Section," IJERPH, MDPI, vol. 19(17), pages 1-22, September.
    17. Yongxin Liu & Yiting Wang & Yiwen Lin & Xiaoqing Ma & Shifa Guo & Qianru Ouyang & Caige Sun, 2023. "Habitat Quality Assessment and Driving Factors Analysis of Guangdong Province, China," Sustainability, MDPI, vol. 15(15), pages 1-23, July.
    18. Fang Shi & Mingshi Li, 2021. "Assessing Land Cover and Ecological Quality Changes under the New-Type Urbanization from Multi-Source Remote Sensing," Sustainability, MDPI, vol. 13(21), pages 1-21, October.
    19. Chuansong Zhao & Ran Geng & Jianxu Liu & Liuying Peng & Woraphon Yamaka, 2023. "Spatiotemporal Evolution and Driving Factors of Land Development: Evidence from Shandong Province, China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    20. Hanwen Zhang & Yanqing Lang, 2022. "Quantifying and Analyzing the Responses of Habitat Quality to Land Use Change in Guangdong Province, China over the Past 40 Years," Land, MDPI, vol. 11(6), pages 1-23, May.
    21. Feng, Yidai & Yuan, Huaxi & Liu, Yaobin, 2023. "The energy-saving effect in the new transformation of urbanization," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 41-59.
    22. Cengiz Koç & Yıldırım Bayazıt & Selami Yurdan Özgül, 2023. "Impact of tourists on urban water needs in Marmaris, Türkiye," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8837-8855, August.
    23. Bin Yang & Zhanqi Wang & Bo Zhang & Di Zhang, 2020. "Allocation Efficiency, Influencing Factors and Optimization Path of Rural Land Resources: A Case Study in Fang County of Hubei Province, China," IJERPH, MDPI, vol. 17(16), pages 1-16, August.

    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. 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).
    2. Jiahong Guo & Zhongqi Yu & Zihao Ma & Duanyang Xu & Shixiong Cao, 2022. "What factors have driven urbanization in China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6508-6526, May.
    3. Ding, Tao & Yang, Jie & Wu, Huaqing & Liang, Liang, 2022. "Land use efficiency and technology gaps of urban agglomerations in China: An extended non-radial meta-frontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    4. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    5. Pei-Ing Wu & Je-Liang Liou & Hung-Yi Chang, 2015. "Alternative exploration of EKC for $$\hbox {CO}_{2}$$ CO 2 emissions: inclusion of meta-technical ratio in quantile regression model," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 57-73, January.
    6. Xu, Tingting & Gao, Jay & Li, Yuhua, 2019. "Machine learning-assisted evaluation of land use policies and plans in a rapidly urbanizing district in Chongqing, China," Land Use Policy, Elsevier, vol. 87(C).
    7. Matano, Alessia & Naticchioni, Paolo, 2013. "Rent sharing as a driver of the glass ceiling effect," Economics Letters, Elsevier, vol. 118(1), pages 55-59.
    8. Carlos Lamarche, 2013. "Industry-wide work rules and productivity: evidence from Argentine union contract data," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    9. Stefano Bianchini & Federico Tamagni & Gabriele Pellegrino, 2016. "Innovation strategies and firm growth," Working Papers 2016/10, Institut d'Economia de Barcelona (IEB).
    10. Dogan, Eyup & Altinoz, Buket & Tzeremes, Panayiotis, 2020. "The analysis of ‘Financial Resource Curse’ hypothesis for developed countries: Evidence from asymmetric effects with quantile regression," Resources Policy, Elsevier, vol. 68(C).
    11. 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.
    12. Meral KAGITCI & Leonardo BADEA & Vasile Cosmin NICULA, 2021. "The Catch-up Effect of Economic Growth. Evidence from the European Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 76-86, December.
    13. Guilherme Resende Oliveira & Benjamin Miranda Tabak & José Guilherme de Lara Resende & Daniel Oliveira Cajueiro, 2012. "Determinantes da Estrutura de Capital das Empresas Brasileiras: uma abordagem em regressão quantílica," Working Papers Series 272, Central Bank of Brazil, Research Department.
    14. Fenfen Wei & Nanping Feng & Kevin H. Zhang, 2017. "Innovation Capability and Innovation Talents: Evidence from China Based on a Quantile Regression Approach," Sustainability, MDPI, vol. 9(7), pages 1-15, July.
    15. Chen, Xia & Fu, Qiang & Chang, Chun-Ping, 2021. "What are the shocks of climate change on clean energy investment: A diversified exploration," Energy Economics, Elsevier, vol. 95(C).
    16. Shen, Liyin & Cheng, Guangyu & Du, Xiaoyun & Meng, Conghui & Ren, Yitian & Wang, Jinhuan, 2022. "Can urban agglomeration bring “1 + 1 > 2Effect”? A perspective of land resource carrying capacity," Land Use Policy, Elsevier, vol. 117(C).
    17. David Powell & Joachim Wagner, 2021. "The Exporter Productivity Premium Along the Productivity Distribution: Evidence from Quantile Regression with Nonadditive Firm Fixed Effects," World Scientific Book Chapters, in: Joachim Wagner (ed.), MICROECONOMETRIC STUDIES OF FIRMS’ IMPORTS AND EXPORTS Advanced Methods of Analysis and Evidence from German Enterprises, chapter 9, pages 121-149, World Scientific Publishing Co. Pte. Ltd..
    18. Arribas, Iván & Peiró-Palomino, Jesús & Tortosa-Ausina, Emili, 2020. "Is full banking integration desirable?," Journal of Banking & Finance, Elsevier, vol. 112(C).
    19. Genya Kobayashi & Hideo Kozumi, 2012. "Bayesian analysis of quantile regression for censored dynamic panel data," Computational Statistics, Springer, vol. 27(2), pages 359-380, June.
    20. Jian Hou & Shenyang Yang & Guoliang Fan & Hongxia Xu, 2024. "The impact of energy consumption on carbon emissions intensity in China: evidence from a dynamic panel quantile regression model," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 19, pages 268-288.

    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:eee:lauspo:v:95:y:2020:i:c:s0264837719323671. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.