IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v23y2021i10d10.1007_s10668-021-01265-8.html
   My bibliography  Save this article

Analysing factors affecting developers’ behaviour towards the adoption of prefabricated buildings in China

Author

Listed:
  • Yanjie Wang

    (Zhongnan Group—Zhongnan Hitech, Huijin Financial Center)

  • Fucheng Wang

    (Zhongnan Group—Zhongnan Hitech, Huijin Financial Center)

  • Peidong Sang

    (Shandong Jianzhu University)

  • Huanbin Song

    (University College London)

Abstract

Prefabricated buildings (PBs) help alleviate housing pressure, reduce building energy consumption and solve environmental problems. However, the adoption of PBs in China has not been widespread. Despite being major suppliers of PBs, developers are still reluctant to actively adopt PBs. Thus, understanding the attitude and behaviour of developers is imperative to effectively promote PBs. This study takes the behaviour of developers towards the adoption of PBs as the entry point to discuss the critical factors affecting developers in China. Two additional variables: ‘government regulation’ and ‘economic viability’, are included in the classic theory of planned behaviour model to construct the developers’ PBs adoption behaviour model. On the basis of 198 samples, an empirical analysis of developers’ PBs adoption behaviour was performed using structural equation modelling. Attitude, subjective norm and perceived behavioural control were observed to exert significant positive effects on the behavioural intention of developers. A highly positive correlation was noted between developers' behavioural intention and adoption behaviour. Government regulation and economic viability also presented a significant positive promoting effect on adoption behaviour. The additional variable ‘EV’ had the most influential impact on developers’ behaviour. This study theoretically demonstrates the influencing mechanism of developers' PBs adoption behaviour and serves as an important reference for the adoption of PBs in China.

Suggested Citation

  • Yanjie Wang & Fucheng Wang & Peidong Sang & Huanbin Song, 2021. "Analysing factors affecting developers’ behaviour towards the adoption of prefabricated buildings in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14245-14263, October.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:10:d:10.1007_s10668-021-01265-8
    DOI: 10.1007/s10668-021-01265-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-01265-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-021-01265-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Barr, Stewart & Gilg, Andrew W & Ford, Nicholas, 2005. "The household energy gap: examining the divide between habitual- and purchase-related conservation behaviours," Energy Policy, Elsevier, vol. 33(11), pages 1425-1444, July.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Bryan W Husted & David B Allen, 2006. "Corporate social responsibility in the multinational enterprise: strategic and institutional approaches," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 37(6), pages 838-849, November.
    4. Lara Jaillon & C. S. Poon, 2008. "Sustainable construction aspects of using prefabrication in dense urban environment: a Hong Kong case study," Construction Management and Economics, Taylor & Francis Journals, vol. 26(9), pages 953-966.
    5. Wei Pan & Alistair Gibb & Andrew Dainty, 2007. "Perspectives of UK housebuilders on the use of offsite modern methods of construction," Construction Management and Economics, Taylor & Francis Journals, vol. 25(2), pages 183-194.
    6. Chris Goodier & Alistair Gibb, 2007. "Future opportunities for offsite in the UK," Construction Management and Economics, Taylor & Francis Journals, vol. 25(6), pages 585-595.
    7. Banfi, Silvia & Farsi, Mehdi & Filippini, Massimo & Jakob, Martin, 2008. "Willingness to pay for energy-saving measures in residential buildings," Energy Economics, Elsevier, vol. 30(2), pages 503-516, March.
    8. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    9. Beerepoot, M., 2007. "Public energy performance policy and the effect on diffusion of solar thermal systems in buildings: A Dutch experience," Renewable Energy, Elsevier, vol. 32(11), pages 1882-1897.
    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. Andrew Agapiou, 2021. "An Exploration of the Best Value Perceptions of Small Housebuilding Developers towards Offsite Construction," Sustainability, MDPI, vol. 13(7), pages 1-19, April.
    2. Shucai Bai & Fangyi Li & Wu Xie, 2022. "Green but Unpopular? Analysis on Purchase Intention of Heat Pump Water Heaters in China," Energies, MDPI, vol. 15(7), pages 1-19, March.
    3. Sachs, Julia & Meng, Yiming & Giarola, Sara & Hawkes, Adam, 2019. "An agent-based model for energy investment decisions in the residential sector," Energy, Elsevier, vol. 172(C), pages 752-768.
    4. Lin, Boqiang & Lan, Tianxu, 2023. "Progress of increasing-block electricity pricing policy implementation in China's first-tier cities and the impact of resident policy perception," Energy Policy, Elsevier, vol. 177(C).
    5. Hong Xue & Shoujian Zhang & Yikun Su & Zezhou Wu, 2018. "Capital Cost Optimization for Prefabrication: A Factor Analysis Evaluation Model," Sustainability, MDPI, vol. 10(1), pages 1-22, January.
    6. Wang, Bo & Wang, Xiaomeng & Guo, Dongxue & Zhang, Bin & Wang, Zhaohua, 2018. "Analysis of factors influencing residents’ habitual energy-saving behaviour based on NAM and TPB models: Egoism or altruism?," Energy Policy, Elsevier, vol. 116(C), pages 68-77.
    7. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    8. Chun-Hsi Vivian Chen & Yu-Cheng Chen, 2021. "Assessment of Enhancing Employee Engagement in Energy-Saving Behavior at Workplace: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    9. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    10. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    11. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    12. Fox, Stephen & Groesser, Stefan N., 2016. "Reframing the relevance of research to practice," European Management Journal, Elsevier, vol. 34(5), pages 457-465.
    13. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    14. Fatima Zahra Barrane & Gahima Egide Karuranga & Diane Poulin, 2018. "Technology Adoption and Diffusion: A New Application of the UTAUT Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-19, December.
    15. Joan Torrent-Sellens & Cristian Salazar-Concha & Pilar Ficapal-Cusí & Francesc Saigí-Rubió, 2021. "Using Digital Platforms to Promote Blood Donation: Motivational and Preliminary Evidence from Latin America and Spain," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    16. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    17. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    18. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    19. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    20. Pan Gong & Ningshuang Zeng & Kunhui Ye & Markus König, 2019. "An Empirical Study on the Acceptance of 4D BIM in EPC Projects in China," Sustainability, MDPI, vol. 11(5), pages 1-19, March.

    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:spr:endesu:v:23:y:2021:i:10:d:10.1007_s10668-021-01265-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.