IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i4p1671-d1340857.html
   My bibliography  Save this article

Unveiling Urban Regeneration Risks in China: A Social Perspective

Author

Listed:
  • Hong Xie

    (Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Saina Zheng

    (Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Yue Zhai

    (Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Jingfeng Yuan

    (Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Qiming Li

    (Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China)

Abstract

China’s urbanization process is currently in a transition phase from rapid growth to slow growth, necessitating the implementation of sustainable measures in urban planning. Urban regeneration (UR), being one of the fundamental mechanisms for achieving sustainable urban development, has received considerable attention. UR promotes sustainable development by reusing abandoned land and buildings, improving energy efficiency, and enhancing the ecological environment. However, UR involves numerous stakeholders who may have conflicting interests due to factors such as the environment, technology, and economy, thereby giving rise to social risks (SRs). These SRs pose a threat to the success of UR projects and can also lead to social instability, as well as hindering sustainable urban development. Identifying risk sources forms the foundation of and key to risk management. Therefore, this research employs an integrated qualitative and quantitative method to explore the SR factors (SRFs) related to UR for China. On the basis of the grounded theory method, case study examination was used for data collection, resulting in the identification of 22 specific categories and five main categories. Through quantitative analysis, the identified SRFs and five main classifications of UR in China were verified, namely the negative effects of demolition and relocation, the negative environmental effect, the negative effect of technology, the organization-related negative effect, and the negative effect of policy. Among them, the unfair compensation for demolition and relocation has the greatest impact on the SRs in UR. Based on further analysis of the quantitative results, this study proposes three measures to alleviate the UR-related SRs for China on the macro, meso, and micro levels, which include improving policy and the legal system, enhancing collaborative governance capacity, and strengthening public participation. This research also has reference value in the context of promoting UR for other developing countries.

Suggested Citation

  • Hong Xie & Saina Zheng & Yue Zhai & Jingfeng Yuan & Qiming Li, 2024. "Unveiling Urban Regeneration Risks in China: A Social Perspective," Sustainability, MDPI, vol. 16(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1671-:d:1340857
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/4/1671/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/4/1671/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yingying Sun & Lei Wu & Shi Yin, 2020. "Green Innovation Risk Identification of the Manufacturing Industry under Global Value Chain Based on Grounded Theory," Sustainability, MDPI, vol. 12(24), pages 1-26, December.
    2. Schneeweiss, H. & Mathes, H., 1995. "Factor Analysis and Principal Components," Journal of Multivariate Analysis, Elsevier, vol. 55(1), pages 105-124, October.
    3. Aleksandrina V. Mavrodieva & Ratu Intan F. Daramita & Arki Y. Arsono & Luo Yawen & Rajib Shaw, 2019. "Role of Civil Society in Sustainable Urban Renewal (Machizukuri) after the Kobe Earthquake," Sustainability, MDPI, vol. 11(2), pages 1-12, January.
    4. Yuanyan Gan & Liyin Shen & Jindao Chen & Vivian W. Y. Tam & Yongtao Tan & I. M. Chethana S. Illankoon, 2017. "Critical Factors Affecting the Quality of Industrialized Building System Projects in China," Sustainability, MDPI, vol. 9(2), pages 1-13, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas Despois & Catherine Doz, 2022. "Identifying and interpreting the factors in factor models via sparsity : Different approaches," Working Papers halshs-03626503, HAL.
    2. Thomas Despois & Catherine Doz, 2023. "Identifying and interpreting the factors in factor models via sparsity: Different approaches," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 533-555, June.
    3. Naomichi Makino, 2015. "Generalized data-fitting factor analysis with multiple quantification of categorical variables," Computational Statistics, Springer, vol. 30(1), pages 279-292, March.
    4. Pei Dang & Zhanwen Niu & Shang Gao & Lei Hou & Guomin Zhang, 2020. "Critical Factors Influencing the Sustainable Construction Capability in Prefabrication of Chinese Construction Enterprises," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    5. Shiyao Zhu & Dezhi Li & Haibo Feng & Tiantian Gu & Jiawei Zhu, 2019. "AHP-TOPSIS-Based Evaluation of the Relative Performance of Multiple Neighborhood Renewal Projects: A Case Study in Nanjing, China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    6. Omer Bayar, 2022. "Reducing large datasets to improve the identification of estimated policy rules," Empirical Economics, Springer, vol. 63(1), pages 113-140, July.
    7. Amna Farrukh & Sanjay Mathrani & Aymen Sajjad, 2023. "An exploratory study of green‐lean‐six sigma motivators for environmental sustainability: Managerial insights from a developed and developing economy," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5187-5210, December.
    8. Sergio Consoli & Luca Tiozzo Pezzoli & Elisa Tosetti, 2022. "Neural forecasting of the Italian sovereign bond market with economic news," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 197-224, December.
    9. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
    10. Tao Yu & Qi Tang & Yongxiang Wu & Yaowu Wang & Zezhou Wu, 2019. "What Determines the Success of Culture-Led Regeneration Projects in China?," Sustainability, MDPI, vol. 11(18), pages 1-21, September.
    11. Haruhiko Ogasawara, 2000. "Some relationships between factors and components," Psychometrika, Springer;The Psychometric Society, vol. 65(2), pages 167-185, June.
    12. Shahid Hussain & Zhu Fangwei & Ahmed Faisal Siddiqi & Zaigham Ali & Muhammad Salman Shabbir, 2018. "Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects," Sustainability, MDPI, vol. 10(5), pages 1-25, May.
    13. Douglas Paton & Petra Buergelt, 2019. "Risk, Transformation and Adaptation: Ideas for Reframing Approaches to Disaster Risk Reduction," IJERPH, MDPI, vol. 16(14), pages 1-19, July.
    14. Al-Hussein M. H. Al-Aidrous & Nasir Shafiq & Yasser Yahya Al-Ashmori & Al-Baraa Abdulrahman Al-Mekhlafi & Abdullah O. Baarimah, 2022. "Essential Factors Enhancing Industrialized Building Implementation in Malaysian Residential Projects," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    15. Sundberg, Rolf & Feldmann, Uwe, 2016. "Exploratory factor analysis—Parameter estimation and scores prediction with high-dimensional data," Journal of Multivariate Analysis, Elsevier, vol. 148(C), pages 49-59.
    16. Wang, Hao & Zhao, Yizhu & Gao, Xichen & Gao, Boyang, 2021. "Collaborative decision-making for urban regeneration: A literature review and bibliometric analysis," Land Use Policy, Elsevier, vol. 107(C).
    17. Rania Salem & Sarah Shah, 2019. "Economic rationales for kin marriage: Assessing the evidence using Egyptian panel data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(19), pages 545-578.
    18. Xinxin Yin & Xiaoyue Zhang & Run Cai & Haibo Wang & Feng Liu, 2022. "Fast 1-D Velocity Optimization Inversion to 3D Velocity Imaging: A Case Study of Sichuan Maerkang Earthquake Swarm in 2022," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    19. Ayaz Ahmad Khan & Rongrong Yu & Tingting Liu & Ning Gu & James Walsh, 2023. "Volumetric Modular Construction Risks: A Comprehensive Review and Digital-Technology-Coupled Circular Mitigation Strategies," Sustainability, MDPI, vol. 15(8), pages 1-34, April.
    20. Yongqiang Su & Jinfa Shi & Manman Zhang, 2023. "Exploring Factors Influencing the HQDMI in the Yellow River Basin: A Grounded Theory Approach," Sustainability, MDPI, vol. 15(9), pages 1-27, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1671-:d:1340857. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.