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Comprehensive Land Carrying Capacities of the Cities in the Shandong Peninsula Blue Economic Zone and their Spatio-Temporal Variations

Author

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  • Guangming Cui

    (School of Environmental Science and Engineering, Qingdao University, Qingdao 266071, Shandong, China)

  • Xuliang Zhang

    (School of Tourism and Geography Science, Qingdao University, Qingdao 266071, Shandong, China)

  • Zhaohui Zhang

    (The First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266071, Shandong, China)

  • Yinghui Cao

    (School of Tourism and Geography Science, Qingdao University, Qingdao 266071, Shandong, China)

  • Xiujun Liu

    (School of Tourism and Geography Science, Qingdao University, Qingdao 266071, Shandong, China)

Abstract

The comprehensive land carrying capacities of seven cities in the Shandong Peninsula Blue Economic Zone between 2007–2014 were assessed using a multi-criterion comprehensive evaluation approach and an index of 27 indicators, and cluster analysis was conducted to identify the spatial-temporal variations of the cities’ comprehensive land carrying capacities. The results showed that the carrying capacity of the water and soil resources of the cities had declined except Dongying City; in contrast, the carrying capacities of the eco-environment, the social resources and the economy and technology of the seven cities had all arisen. The carrying capacities of social resources of Dongying and Weihai were markedly higher than the other five cities. The carrying capacities of economy and technology of Qingdao and Dongying were high, the capacities of Weihai and Yantai were moderate, and the capacities of Weifang, Rizhao, and Binzhou were low. In general, the comprehensive land carrying capacities of the eastern cities were higher than those of the western cities, which was similar to the spatial pattern of the economy development of those cities. In addition, positive correlations were identified between the comprehensive land carrying capacity and the per capita land for construction, areal proportion of wetland to total land, percentage of green space to build up area, per capita public green space, comprehensive utilization rate of industrial solid waste residues, urbanization rate, area of per capita urban road, per capita GDP, economy density, fixed-assets investment per area, etc. However negative correlations were discovered between the comprehensive land carrying capacity and the discharge of industrial waste water per 10,000 Yuan RMB GDP, as well as the proportion of added value of the primary industry to total GDP. Finally, we discussed measures to improve the comprehensive land carrying capacities of the cities, such as elevating the intensive land utilization and economic development, decreasing the proportion of added value of the primary industry to total GDP, promoting energy saving and emission reduction, etc.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:439-:d:198050
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    References listed on IDEAS

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    Cited by:

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    2. Wenzhu Luo & Liyin Shen & Lingyu Zhang & Xia Liao & Conghui Meng & Chi Jin, 2022. "A Load-Carrier Perspective Method for Evaluating Land Resources Carrying Capacity," IJERPH, MDPI, vol. 19(9), pages 1-21, May.
    3. Weimin Yan & Benhong Peng & Guo Wei & Anxia Wan, 2021. "Is There Coupling Effect between Financial Support and Improvement of Human Settlement? A Case Study of the Middle and Lower Regions of the Yangtze River, China," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    4. Ying Zhang & Xiaomeng Song & Xiaojun Wang & Zhifeng Jin & Feng Chen, 2023. "Multi-Level Fuzzy Comprehensive Evaluation for Water Resources Carrying Capacity in Xuzhou City, China," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    5. Chuqiao Han & Binbin Lu & Jianghua Zheng, 2021. "Analysis and Prediction of Land Resources’ Carrying Capacity in 31 Provinces of China from 2008 to 2016," Sustainability, MDPI, vol. 13(23), pages 1-20, December.
    6. Xiaotong Xie & Xiaoshun Li & Weikang He, 2020. "A Land Space Development Zoning Method Based on Resource–Environmental Carrying Capacity: A Case Study of Henan, China," IJERPH, MDPI, vol. 17(3), pages 1-19, February.
    7. Xinhao Min & Yanning Wang & Jun Chen, 2022. "Resource Carrying Capacity Evaluation Based on Fuzzy Evaluation: Validation Using Karst Landscape Region in Southwest China," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    8. Wei Zhou & Ayman Elshkaki & Shuai Zhong & Lei Shen, 2021. "Study on Relative Carrying Capacity of Land Resources and Its Zoning in 31 Provinces of China," Sustainability, MDPI, vol. 13(3), pages 1-13, January.
    9. Jia Gao & Rongrong Zhao & Ge Song & Yuxin Zhan & Yaohui Zhu, 2022. "Spatial–Temporal Evolution Patterns and Regulatory Strategies for Land Resource Carrying Capacity of China’s Major Grain-Producing Areas," Land, MDPI, vol. 11(12), pages 1-17, November.
    10. Hefeng Wang & Yuan Cao & Xiaohu Wu & Ao Zhao & Yi Xie, 2022. "Estimation and Potential Analysis of Land Population Carrying Capacity in Shanghai Metropolis," IJERPH, MDPI, vol. 19(14), pages 1-20, July.

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