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Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective

Author

Listed:
  • Yu Liu

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China
    Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong 999077, China)

  • Chen Zeng

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China
    Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Department of City and Regional Planning, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA)

  • Huatai Cui

    (School of Economics, Renmin University of China, Beijing 100872, China
    Department of City and Regional Planning, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA)

  • Yanhua Song

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China)

Abstract

Rapid urbanization has become a common occurrence all over the world, particularly in developing countries, and has thus resulted in various eco-environmental problems. In China, urban land has expanded at an unprecedented rate in the past several decades, and sustainable land urbanization has become an important issue in promoting sustainable development. Hence, scholars have proposed ecological carrying capacity (ECC) as a solution to balance socio-economic development and the ecosystems for achieving sustainable development. In the current work, we explored the spatial influence of ECC on land urbanization and its driving mechanism, using the Wuhan agglomeration as a case study. In the first step, we calculated the ECC at the county level using the ecological footprint method. Then, we applied a combination of kernel density and the “densi-graph method” on the basis of points of interest, in order to identify urbanized areas and to measure land urbanization rates. Finally, we devised spatial models with ECC-based spatial weight matrices to examine the potential spatial interactions or constraints and the influencing factors. Results indicate the following. (1) Land urbanization rates in most counties increased, whereas the average ECC per capita in the Wuhan urban agglomeration decreased from 2010 to 2015; (2) China’s land urbanization is primarily driven by socio-economic development, in which fixed asset investments and urban income present positive influences and agricultural outputs show a negative influence; (3) Spatial interaction was formulated through ECC during the land urbanization process. However, this effect was attenuated in 2010–2015. The findings are beneficial for understanding the regional spatial influence of ECC on urban land urbanization. They should also facilitate the formulation of relevant policies for protecting, restoring, and promoting the sustainable use of terrestrial ecosystems to ultimately achieve coordinated and balanced regional development.

Suggested Citation

  • Yu Liu & Chen Zeng & Huatai Cui & Yanhua Song, 2018. "Sustainable Land Urbanization and Ecological Carrying Capacity: A Spatially Explicit Perspective," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3070-:d:166380
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    References listed on IDEAS

    as
    1. Yu, Wenhao & Ai, Tinghua & Shao, Shiwei, 2015. "The analysis and delimitation of Central Business District using network kernel density estimation," Journal of Transport Geography, Elsevier, vol. 45(C), pages 32-47.
    2. Shu, Cheng & Xie, Hualin & Jiang, Jinfa & Chen, Qianru, 2018. "Is Urban Land Development Driven by Economic Development or Fiscal Revenue Stimuli in China?," Land Use Policy, Elsevier, vol. 77(C), pages 107-115.
    3. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.
    4. Yanjing Zhang & Zhengguo Su & Guan Li & Yuefei Zhuo & Zhongguo Xu, 2018. "Spatial-Temporal Evolution of Sustainable Urbanization Development: A Perspective of the Coupling Coordination Development Based on Population, Industry, and Built-Up Land Spatial Agglomeration," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    5. Lie Ma & Dandan Li & Xiaobo Tao & Haifeng Dong & Bei He & Xiaosu Ye, 2017. "Inequality, Bi-Polarization and Mobility of Urban Infrastructure Investment in China’s Urban System," Sustainability, MDPI, vol. 9(9), pages 1-19, September.
    6. Tian, Yuan & Sun, Chuanwang, 2018. "A spatial differentiation study on comprehensive carrying capacity of the urban agglomeration in the Yangtze River Economic Belt," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 11-22.
    7. Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi, 2016. "An Integrated Approach to Explore the Relationship Among Economic, Construction Land Use, and Ecology Subsystems in Zhejiang Province, China," Sustainability, MDPI, vol. 8(5), pages 1-20, May.
    8. Wu, Yongjiao & Dong, Suocheng & Huang, Haosheng & Zhai, Jun & Li, Yu & Huang, Dingxuan, 2018. "Quantifying urban land expansion dynamics through improved land management institution model: Application in Ningxia-Inner Mongolia, China," Land Use Policy, Elsevier, vol. 78(C), pages 386-396.
    9. Nils-Bastian Heidenreich & Anja Schindler & Stefan Sperlich, 2013. "Bandwidth selection for kernel density estimation: a review of fully automatic selectors," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 97(4), pages 403-433, October.
    10. Xiangzheng Deng & Jikun Huang & Scott Rozelle & Emi Uchida, 2010. "Economic Growth and the Expansion of Urban Land in China," Urban Studies, Urban Studies Journal Limited, vol. 47(4), pages 813-843, April.
    11. Graymore, Michelle L.M. & Sipe, Neil G. & Rickson, Roy E., 2008. "Regional sustainability: How useful are current tools of sustainability assessment at the regional scale?," Ecological Economics, Elsevier, vol. 67(3), pages 362-372, October.
    12. Wei Liu & Jinyan Zhan & Zhihui Li & Siqi Jia & Fan Zhang & Yifan Li, 2018. "Eco-Efficiency Evaluation of Regional Circular Economy: A Case Study in Zengcheng, Guangzhou," Sustainability, MDPI, vol. 10(2), pages 1-16, February.
    13. James P. Lesage, 2008. "An Introduction to Spatial Econometrics," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 19-44.
    14. Danlin Yu & Yehua Dennis Wei, 2008. "Spatial data analysis of regional development in Greater Beijing, China, in a GIS environment," Papers in Regional Science, Wiley Blackwell, vol. 87(1), pages 97-117, March.
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    3. Zhang, Qian & Shen, Juqin & Sun, Fuhua, 2021. "Spatiotemporal differentiation of coupling coordination degree between economic development and water environment and its influencing factors using GWR in China's province," Ecological Modelling, Elsevier, vol. 462(C).
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    7. Yaxian Zhang & Jiangwen Fan & Suizi Wang, 2020. "Assessment of Ecological Carrying Capacity and Ecological Security in China’s Typical Eco-Engineering Areas," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    8. Guangming Cui & Xuliang Zhang & Zhaohui Zhang & Yinghui Cao & Xiujun Liu, 2019. "Comprehensive Land Carrying Capacities of the Cities in the Shandong Peninsula Blue Economic Zone and their Spatio-Temporal Variations," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
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