IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i23p16177-d1284878.html
   My bibliography  Save this article

Exploring Key Factors and Driving Mechanisms of Construction Waste Recycling Development in China: Combination of PEST Model and Fuzzy-Set Qualitative Comparative Analysis

Author

Listed:
  • Jingru Li

    (Department of Construction Management and Real Estate, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
    Key Laboratory for Resilient Infrastructures of Coastal Cities, Shenzhen University, Ministry of Education, Shenzhen 518060, China
    Sino-Australia Joint Research Center in BIM and Smart Construction, Shenzhen University, Shenzhen 518060, China)

  • Jinxiao Ji

    (Department of Construction Management and Real Estate, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China)

Abstract

The construction waste recycling (CWR) industry in China is still in the primary stage. Thus, exploring the driving mechanisms of its development has significant theoretical worth and practical significance. Existing studies mainly focused on identifying individual key factors, while paying limited attention to the synergistic effects of multiple factors. The aim of this study is to systematically identify the primary drivers of China’s CWR industry from a macro perspective and explore their conjunctional effect on the development of the CWR industry in China. Firstly, based on the PEST model, the key factors driving the development of the CWR industry were identified from political, economic, social, and technological aspects. Secondly, the fuzzy-set Qualitative Comparative Analysis (fsQCA) approach was used to explore the causal relationship between the conjunction of these factors and the development level of the CWR industry. This study yields two interesting conclusions. The first is that none of the political, economic, social, and technological factors is a necessary condition. It means that the absence of any single factor will not restrict the development of the CWR industry. The second reveals two causal paths for the high-level development of the CWR industry, namely, the configuration of policy and social factors and the individual effect of economic factors. High-level development in the CWR industry can drive the sustainable development of the construction sector.

Suggested Citation

  • Jingru Li & Jinxiao Ji, 2023. "Exploring Key Factors and Driving Mechanisms of Construction Waste Recycling Development in China: Combination of PEST Model and Fuzzy-Set Qualitative Comparative Analysis," Sustainability, MDPI, vol. 15(23), pages 1-13, November.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16177-:d:1284878
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/23/16177/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/23/16177/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bouwman, Harry & Nikou, Shahrokh & de Reuver, Mark, 2019. "Digitalization, business models, and SMEs: How do business model innovation practices improve performance of digitalizing SMEs?," Telecommunications Policy, Elsevier, vol. 43(9).
    2. Beynon, Malcolm J. & Jones, Paul & Pickernell, David, 2020. "Country-level entrepreneurial attitudes and activity through the years: A panel data analysis using fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 443-455.
    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. Zahoor, Nadia & Zopiatis, Anastasios & Adomako, Samuel & Lamprinakos, Grigorios, 2023. "The micro-foundations of digitally transforming SMEs: How digital literacy and technology interact with managerial attributes," Journal of Business Research, Elsevier, vol. 159(C).
    2. Coskun-Setirek, Abide & Tanrikulu, Zuhal, 2021. "Digital innovations-driven business model regeneration: A process model," Technology in Society, Elsevier, vol. 64(C).
    3. Mohammad Soltani Delgosha & Tahereh Saheb & Nastaran Hajiheydari, 0. "Modelling the Asymmetrical Relationships between Digitalisation and Sustainable Competitiveness: A Cross-Country Configurational Analysis," Information Systems Frontiers, Springer, vol. 0, pages 1-21.
    4. Buvár Ágnes & Gáti Mirkó, 2023. "Digital marketing adoption of microenterprises in a technology acceptance approach," Management & Marketing, Sciendo, vol. 18(2), pages 127-144, June.
    5. Jingru Li & Jinxiao Ji & Jian Zuo & Yi Tan, 2023. "Is Policy the Necessary or Sufficient Driving Force of Construction and Demolition Waste Recycling Industry Development? Experience from China," IJERPH, MDPI, vol. 20(6), pages 1-16, March.
    6. Wissal Affes & Habib Affes, 2022. "Business Model and Firm Performance in Tunisian Firms: a Mediated Moderation Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2822-2839, December.
    7. Simona Stojanova & Nina Cvar & Jurij Verhovnik & Nataša Božić & Jure Trilar & Andrej Kos & Emilija Stojmenova Duh, 2022. "Rural Digital Innovation Hubs as a Paradigm for Sustainable Business Models in Europe’s Rural Areas," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    8. Daniela Ioniță & Ion Alexandru Olteanu, 2023. "SME and digital transformation: a dream too far?," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 7-16, April.
    9. Geandra Alves Queiroz & Paulo Nocera Alves Junior & Isotilia Costa Melo, 2022. "Digitalization as an Enabler to SMEs Implementing Lean-Green? A Systematic Review through the Topic Modelling Approach," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    10. Beynon, Malcolm & Pickernell, David & Battisti, Martina & Jones, Paul, 2024. "A panel fsQCA investigation on European regional innovation," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    11. Yangjie Huang & Sihui Li & Xiyuan Xiang & Leilei Huang, 2024. "Analyzing the configuration of the National Innovation System for Innovation Capability: evidence from Global Innovation Index reports," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    12. Fernando Almeida & José Morais & José Duarte Santos, 2022. "A Bibliometric Analysis of the Scientific Outcomes of European Projects on the Digital Transformation of SMEs," Publications, MDPI, vol. 10(4), pages 1-18, September.
    13. Junjun Tang & Xing Zhao, 2023. "Does the new digital infrastructure improve total factor productivity?," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 895-916, October.
    14. Xu, Shengxiang & Chen, Hsinghung & Dong, Shuli & Guo, Zizheng, 2023. "Can upgrading information infrastructure improve the innovation ability of companies? Empirical evidence from China," Telecommunications Policy, Elsevier, vol. 47(6).
    15. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Pérez-Pico, Ada M. & Caby, Jérôme, 2023. "The influence of Twitch and sustainability on the stock returns of video game companies: Before and after COVID-19," Journal of Business Research, Elsevier, vol. 157(C).
    16. Marc Dressler & Ivan Paunovic, 2021. "Not All Wine Businesses Are the Same: Examining the Impact of Winery Business Model Extensions on the Size of Its Core Business," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    17. Mina Nasiri & Minna Saunila & Juhani Ukko & Tero Rantala & Hannu Rantanen, 2023. "Shaping Digital Innovation Via Digital-related Capabilities," Information Systems Frontiers, Springer, vol. 25(3), pages 1063-1080, June.
    18. Zhang, Yimeng & Ma, Xinyu & Pang, Jianing & Xing, Hailong & Wang, Jian, 2023. "The impact of digital transformation of manufacturing on corporate performance — The mediating effect of business model innovation and the moderating effect of innovation capability," Research in International Business and Finance, Elsevier, vol. 64(C).
    19. Yanan Li & Sid Terason, 2023. "Configuring the Pattern of Sustainable Tourism Development as Affected by the Construction of a High-Speed Railway System," SAGE Open, , vol. 13(3), pages 21582440231, July.
    20. Ge Wang & Huijin Zhang & Saixing Zeng & Xiaohua Meng & Han Lin, 2023. "Reporting on sustainable development: Configurational effects of top management team and corporate characteristics on environmental information disclosure," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(1), pages 28-52, January.

    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:15:y:2023:i:23:p:16177-:d:1284878. 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.