IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-19-5256-2_91.html
   My bibliography  Save this book chapter

Analysis of Influencing Factors of Prefabricated Building in Rural Areas Based on SEM

In: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Yingbo Ji

    (North China University of Technology)

  • Mengyuan Cheng

    (North China University of Technology)

  • Fuyi Yao

    (Chongqing University)

Abstract

China is now vigorously promoting prefabricated buildings, for farmers, prefabricated building can make people spend less money to live in higher quality housing. The application, promotion and popularization of rural prefabricated housing is of great significance for improving the living life of villagers. It is also an important work content of beautiful rural construction and new urbanization construction. It is the main development direction of rural housing construction. However, due to various obstacle factors, there are difficulties in the promotion process of rural areas. To enhance the promotion of prefabricated building in rural areas, this paper takes the influencing factors in the process of promotion as the research object, and constructs four latent variables and their explicit indicators: market factors, technological development, government policies, and human cognition. A questionnaire is set up to collect data. Then, the SEM model is established to explore the factors influencing the promotion of prefabricated building in rural areas. The results show that the impact of the four major factors is similar, and their importance is ranked as follows: technology development > market factors > government policies > human cognition. This research can be provide a reference for the implementation of decision-making in the promotion of prefabricated buildings in rural areas.

Suggested Citation

  • Yingbo Ji & Mengyuan Cheng & Fuyi Yao, 2022. "Analysis of Influencing Factors of Prefabricated Building in Rural Areas Based on SEM," Lecture Notes in Operations Research, in: Hongling Guo & Dongping Fang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, pages 1157-1170, Springer.
  • Handle: RePEc:spr:lnopch:978-981-19-5256-2_91
    DOI: 10.1007/978-981-19-5256-2_91
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:lnopch:978-981-19-5256-2_91. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.