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Effects of Industrial Structure on the Green Utilization Efficiency of Urban Land: A Case Study of the Bohai Rim Region, China

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  • Tiantian Guo

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Xiaoming Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

Abstract

The green utilization of urban land is a critical component of regional high-quality development. Enhancing the green utilization efficiency of urban land (GUEUL) is of great significance to improving the quality of ecological environment and achieving a green lifestyle and low-carbon production. With the process of urbanization, the industrial structure is constantly adjusted, which has an impact on the structure and efficiency of urban land utilization. Taking 43 cities in the Bohai Rim region as an example, the super-efficiency slack-based measure model with undesirable outputs (super-SBM-undesirable model) was employed to evaluate the GUEUL from 2006 to 2021, and the panel quantile model was used to explore the impact of industrial structure on GUEUL. The results showed that the GUEUL in the Bohai Rim region appeared a fluctuating upward trend from 0.664 in 2006 to 0.837 in 2021. High-value zones shifted from western Liaoning province and southern Shandong province to a “C”-shaped belt around the coastline and expanded continuously, while low-value zones decreased significantly. Furthermore, the influence of industrial structure on GUEUL was significantly positive, but there were significant differences among different efficiency levels. Industrial structure upgrading exerted the most significant effect on GUEUL improvement in low-value zones, while industrial structure rationalization was dominant in high-value zones, and the influence of industrial structure technologization was more significant in medium-low-value zones. Therefore, differentiated industrial structure adjustment policies should be formulated based on the actual condition of each city to improve GUEUL.

Suggested Citation

  • Tiantian Guo & Xiaoming Wang, 2024. "Effects of Industrial Structure on the Green Utilization Efficiency of Urban Land: A Case Study of the Bohai Rim Region, China," Sustainability, MDPI, vol. 16(17), pages 1-17, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7832-:d:1473902
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    References listed on IDEAS

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    1. Krekel, Christian & Kolbe, Jens & Wüstemann, Henry, 2016. "The greener, the happier? The effect of urban land use on residential well-being," Ecological Economics, Elsevier, vol. 121(C), pages 117-127.
    2. Aiping Wang & Weifen Lin & Bei Liu & Hui Wang & Hong Xu, 2021. "Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?," Land, MDPI, vol. 10(6), pages 1-18, June.
    3. Taher Osman & Prasanna Divigalpitiya & Takafumi Arima, 2016. "Driving factors of urban sprawl in Giza governorate of the Greater Cairo Metropolitan Region using a logistic regression model," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(2), pages 206-225, July.
    4. Feifei Tan & Qunxi Kong, 2020. "Uncovering the driving mechanism of regional synergistic development based on Haken model: case of the Bohai Rim region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3291-3308, April.
    5. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    6. 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).
    7. 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).
    8. Xue, Dan & Yue, Li & Ahmad, Fayyaz & Draz, Muhammad Umar & Chandio, Abbas Ali & Ahmad, Munir & Amin, Waqas, 2022. "Empirical investigation of urban land use efficiency and influencing factors of the Yellow River basin Chinese cities," Land Use Policy, Elsevier, vol. 117(C).
    9. 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.
    10. Liu, Jingming & Hou, Xianhui & Wang, Zhanqi & Shen, Yue, 2021. "Study the effect of industrial structure optimization on urban land-use efficiency in China," Land Use Policy, Elsevier, vol. 105(C).
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    Cited by:

    1. Jing Ning & Mengqiu Wang & Ning Wang & Yu Sun & Haozhi Ma, 2025. "Assessment, Evolutionary Trends, and Convergence of Land Green Utilization Efficiency in Three Northeastern Provinces of China Undergoing Population Shrinkage," Sustainability, MDPI, vol. 17(5), pages 1-18, February.
    2. Guangzhi Qi & Zhibao Wang & Chengxin Wang, 2025. "Towards Demographic Sustainability: Multi-Scale Spatiotemporal Evolution and Factors of Population Aging in the Bohai Rim Region," Sustainability, MDPI, vol. 17(4), pages 1-26, February.

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