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Evaluation of the Sustainable Development of Macau, Based on the BP Neural Network

Author

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  • Yue Huang

    (College of Computer Science and Technology, Zhejiang University, Hangzhou 310063, China
    College of Art and Archaeology, Zhejiang University City College, Hangzhou 310015, China)

  • Youping Teng

    (College of Art and Archaeology, Zhejiang University City College, Hangzhou 310015, China)

  • Shuai Yang

    (College of Computer Science and Technology, Zhejiang University, Hangzhou 310063, China
    College of Art and Archaeology, Zhejiang University City College, Hangzhou 310015, China)

Abstract

(1) Background: the rapid development of cities and the process of industrialization has improved the level of economic development for all humanity, accompanied by a series of problems, such as the waste of ecological resources and the environmental destruction. Macau has long been one of the regions with the most active economic activities. However, the phenomenon of economic recession, unreasonable land use, and frequent flood disasters have appeared in the past few decades, which violate the concept of sustainable development; (2) Methods: this paper uses the BP neural network model to evaluate the sustainable development of Macau; (3) Results: the weight ranking of sustainable development is: economic > social > ecological environment. A correlation analysis shows that ecology and economy have a significant negative correlation; (4) Conclusions: In Macau, economic growth is given priority while social and ecological environment development lags behind. Macau has problems, such as a unitary economic structure and a high population density. This paper advocates that investment in ecological protection should be increased, environmental resources should be optimized and saved, and the concept of sustainable development should be strengthened in the application of Macau’s urban development.

Suggested Citation

  • Yue Huang & Youping Teng & Shuai Yang, 2023. "Evaluation of the Sustainable Development of Macau, Based on the BP Neural Network," Sustainability, MDPI, vol. 15(1), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:1:p:879-:d:1024151
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    References listed on IDEAS

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    Cited by:

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    2. Zhu, Ruikun & Xu, Qi & Xiqiang, Xia & Sibt-e-Ali, Muhammad & Waqas, Muhammad & Ullah, Irfan & Anwar, Ahsan, 2024. "Role of resources rent, research and development, and information and communication technologies on CO2 emissions in BRICS economies," Resources Policy, Elsevier, vol. 93(C).
    3. Qikang Zhong & Zhe Li & Yujing He, 2023. "Coupling Evaluation and Spatial–Temporal Evolution of Land Ecosystem Services and Economic–Social Development in a City Group: The Case Study of the Chengdu–Chongqing City Group," IJERPH, MDPI, vol. 20(6), pages 1-29, March.
    4. Haifa Jia & Pengyu Liang & Xiang Chen & Jianxun Zhang & Wanmei Zhao & Shaowen Ma, 2025. "Spatio-Temporal Evolution, Factors, and Enhancement Paths of Ecological Civilization Construction Effectiveness: Empirical Evidence Based on 48 Cities in the Yellow River Basin of China," Land, MDPI, vol. 14(7), pages 1-18, July.
    5. Przemysław Niewiadomski & Agnieszka Stachowiak, 2024. "The Sustainable Production and Well-Being of Employees as a Derivative of the Concept of Sustainable Production," Sustainability, MDPI, vol. 16(1), pages 1-17, January.
    6. Chun Li & Bakhtawer Ayub, 2025. "The green response of financial inclusion, infrastructure development and renewable energy to the environmental sustainability: A newly evidence from OECD economies," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-30, January.

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