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What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?

Author

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  • Luping Shi

    (Business School, Hohai University, Changzhou 213022, China)

  • Zhongyao Cai

    (Business School, Hohai University, Changzhou 213022, China)

  • Xuhui Ding

    (School of Finance and Economics, Jiangsu University, Zhenjiang 212013, China)

  • Rong Di

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Qianqian Xiao

    (Business School, Hohai University, Changzhou 213022, China)

Abstract

Promoting new-type urbanization with the concept of green development has become an inevitable requirement for high-quality development in the Yellow River Basin. Grasping the development trend and influencing factors of green urbanization level in the Yellow River Basin is of great significance for implementing the international conventions on environmental protection and participating in global environmental governance. This paper selects the green urbanization level panel data of nine provinces in the Yellow River Basin from 2006 to 2018. Then, principal component analysis and factor analysis are applied to measure and evaluate the green urbanization level of each province. Furthermore, this paper constructs a dynamic panel estimation model and uses differential generalized method of moments (DIF-GMM) model and system generalized method of moments (SYS-GMM) model to explore the influencing factors. The results show that the overall level of green urbanization in the Yellow River Basin has steadily and rapidly increased, and there are significant spatial differences. The green urbanization level of eastern provinces is significantly higher than that of central and western provinces. In addition, the overall level of green urbanization shows a convergence trend. From the perspective of influencing factors, the factors that have significant positive effects on the level of green urbanization include economic development level, technological innovation level, and urban size. Industrial structure, foreign direct investment (FDI), and education level counteract the level of green urbanization. However, environmental regulation strength and opening degree fail to pass the significance test. Therefore, it is necessary to promote and upgrade industrial transformation, improve the quality of opening up, and strengthen cooperation in technological innovation and environmental governance. There are requirements that the government control the urban size and population scientifically and implement the environmental access system strictly in order to improve the level of green urbanization in the Yellow River Basin. It is more possible to achieve harmonious economic and ecological environment development.

Suggested Citation

  • Luping Shi & Zhongyao Cai & Xuhui Ding & Rong Di & Qianqian Xiao, 2020. "What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2488-:d:335663
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    2. Zhibao Wang & Guangzhi Qi, 2022. "Demographic Transition in Natural Watersheds: Evidence from Population Aging in the Yellow River Basin Based on Various Types of Migration," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    3. Mengtian Zhang & Huiling Wang, 2023. "Evolution of Industrial Ecology and Analysis of Influencing Factors: The Yellow River Basin in China," Land, MDPI, vol. 12(7), pages 1-21, June.
    4. Jingxu Wang & Shike Qiu & Jun Du & Shengwang Meng & Chao Wang & Fei Teng & Yangyang Liu, 2022. "Spatial and Temporal Changes of Urban Built-Up Area in the Yellow River Basin from Nighttime Light Data," Land, MDPI, vol. 11(7), pages 1-14, July.
    5. Guizhang Zhao & Lingying Kong & Yunliang Li & Yuanzhi Xu & Zhiping Li, 2022. "Investigating Historical Baseflow Characteristics and Variations in the Upper Yellow River Basin, China," IJERPH, MDPI, vol. 19(15), pages 1-13, July.
    6. Xiaofang Sun & Guicai Li & Junbang Wang & Meng Wang, 2021. "Quantifying the Land Use and Land Cover Changes in the Yellow River Basin while Accounting for Data Errors Based on GlobeLand30 Maps," Land, MDPI, vol. 10(1), pages 1-18, January.
    7. Aijun Guo & Yongnian Zhang & Fanglei Zhong & Daiwei Jiang, 2020. "Spatiotemporal Patterns of Ecosystem Service Value Changes and Their Coordination with Economic Development: A Case Study of the Yellow River Basin, China," IJERPH, MDPI, vol. 17(22), pages 1-17, November.
    8. Yu Zhang & Wenliang Geng & Pengyan Zhang & Erling Li & Tianqi Rong & Ying Liu & Jingwen Shao & Hao Chang, 2020. "Dynamic Changes, Spatiotemporal Differences and Factors Influencing the Urban Eco-Efficiency in the Lower Reaches of the Yellow River," IJERPH, MDPI, vol. 17(20), pages 1-19, October.
    9. Decai Tang & Hui Zhong & Jingyi Zhang & Yongguang Dai & Valentina Boamah, 2022. "The Effect of Green Finance on the Ecological and Environmental Quality of the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    10. Kui Liu & Jian Wang & Xiang Kang & Jingming Liu & Zheyi Xia & Kai Du & Xuexin Zhu, 2022. "Spatio-Temporal Analysis of Population-Land-Economic Urbanization and Its Impact on Urban Carbon Emissions in Shandong Province, China," Land, MDPI, vol. 11(2), pages 1-20, February.
    11. Yang, Qi-Cheng & Zheng, Mingbo & Chang, Chun-Ping, 2022. "Energy policy and green innovation: A quantile investigation into renewable energy," Renewable Energy, Elsevier, vol. 189(C), pages 1166-1175.
    12. Meirui Li & Baolei Zhang & Xiaobo Zhang & Shumin Zhang & Le Yin, 2023. "Exploring Spatio-Temporal Variations of Ecological Risk in the Yellow River Ecological Economic Belt Based on an Improved Landscape Index Method," IJERPH, MDPI, vol. 20(3), pages 1-17, January.

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