Abstract-
Prefabricated buildings (PBs) contribute to sustainable development, and their development largely depends on the active participation of developers. However, based on the characteristics of different stages of PBs’ development and the goals of “14th Five-Year Plan” for architecture in China, it is an urgent practical problem for the government to encourage developers’ active participation while regulating their alienation behavior. To address such problem, this paper uses the evolutionary game method to explore the government’s reasonable regulatory strategies for developers’ behavior in different development stages of PBs. Meanwhile, this paper explores the boundary of government’s regulatory strength on PBs based on actual situation in China, which help the government to drive high-quality development of PBs with effective policy resources. Results reveal that the strict regulatory strategies have limited effects in the incubation stage of PBs. In the growth stage, it is necessary to adjust the regulatory strategies appropriately. The dynamic linear regulatory strategy can enable the PBs to achieve the phased goal, and the dynamic nonlinear regulatory strategy can help to achieve the optimal goal of PBs in China. In the maturity stage, the government does not need to deliberately regulate due to the considerable profits of developers. The regulatory strategy of “light reward and heavy punishment” is better when it is adopted to promote the development of PBs in the growth stage. The research also provides valuable suggestions for government regulators to formulate reasonable and dynamic regulatory policies for PBs.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Data availability
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
References
Amos D, Zhang CZ, Chen APC (2017) Drivers for green building: a review of empirical studies. Habitat Int 60:34–49. https://doi.org/10.1016/j.habitatint.2016.12.007
Chen Yh, Wang C, Py N (2020) Emission regulation of conventional energy-intensive industries. Environ Dev Sustain 22:3723–3737. https://doi.org/10.1007/s10668-019-00364-x
China Daily (2022) Construction Industry Development Plan of the “Fourteenth Five Year Plan”: http://www.gov.cn/xinwen/2022-02/09/content_5672644.htm. Accessed 09 Feb 2022
Choi JO, O’Connor JT, Kim TW (2016) Recipes for cost and schedule successes in industrial modular projects: qualitative comparative analysis. J Constr Eng Manag 142(10):1–9. https://doi.org/10.1061/(asce)co.1943-7862.0001171
Du X (2015) How the market values greenwashing? Evidence from China. J Bus Ethics 128(3):547–574. https://doi.org/10.1007/s10551-014-2122-y
Du Q, Hao T, Huang Y et al (2022) Prefabrication decisions of the construction supply chain under government subsidies. Environ Sci Pollut Res 29:59127–59144. https://doi.org/10.1007/s11356-022-19861-0
Feng Q, Chen H, Shi X et al (2020) Stakeholder games in the evolution and development of green buildings in China: government-led perspective. J Clean Prod 275:1–13. https://doi.org/10.1016/j.jclepro.2020.122895
Friedman D (1991) Evolutionary games in Economics. Econometrica 59(3):637–666 (https://www.researchgate.net/publication/307938596_Evolutionary_Game_in_Economics). Accessed 09 Dec 2010
He L (2020) The incentive effects of different government subsidy policies on green buildings. Renew Sust Energ Rev 135:110123. https://doi.org/10.1016/j.rser.2020.110123
He Q, Wang Z, Wang G, et al (2020). To be green or not to be: how environmental regulations shape contractor greenwashing behaviors in construction projects. Sustain Cities Soc 102462https://doi.org/10.1016/j.scs.2020.102462
Hong JK, Geoffrey Shen QP, Li ZD et al (2018) Barriers to promoting prefabricated construction in China: a cost–benefit analysis. J Clean Prod 649–660. https://doi.org/10.1016/j.jclepro.2017.10.171
Huang N, Bai LB, Wang HL et al (2018) Social network analysis of factors influencing green building development in China. Int J Environ Res Public Health 15(12):2684. https://doi.org/10.3390/ijerph15122684
Jiang W, Luo L, Wu Z et al (2019) An investigation of the effectiveness of prefabrication incentive policies in China. Sustainability 11(19):5149. https://doi.org/10.3390/su11195149
Kalman RE, Bertram JE (1960) Control system analysis and design via the second method of lyapunov: (I) continuous-time systems (II) discrete time systems. J Fluids Eng 82(2):394–400. https://doi.org/10.1115/1.3662605
Kern F, Rogge KS, Howlett M (2019) Policy mixes for sustainability transitions: new approaches and insights through bridging innovation and policy studies. Res Policy 48(10):103832. https://doi.org/10.1016/j.respol.2019.103832
Kong FJ, He LH (2021) Impacts of supply-sided and demand-sided policies on innovation in green building technologies: a case study of China. J Clean Prod 126279. https://doi.org/10.1016/j.jclepro.2021.126279
Li JH, Li XQ, Li H et al (2019) Research on incentive policies of prefabricated buildings from the perspective of supply and demand theory. Eng Manag J 33(05):13–18. https://doi.org/10.13991/j.cnki.jem.2019.05.003
Li Z, Zhang SW, Meng QF et al (2020) Barriers to the development of prefabricated buildings in China: a news coverage analysis. Eng Construct Archit Manag 28(10):2884–2903. https://doi.org/10.1108/ECAM-03-2020-0195
Liang X, Fu Y (2021) Study on the supply side evolutionary game of green building under the mechanism of government dynamic reward and punishment. China Manag Sci 29(02):184–194. https://doi.org/10.16381/j.cnki.issn1003-207x.2018.0917
Liang XF, Zhang FL, Yan HY (2020) Simulation and optimization of PPP project performance payment mechanism based on evolutionary game. China Manag Sci 28(4):153–163. https://doi.org/10.16381/j.cnki.issn1003-207x.2018.0434
Liang YR, Xu JZ (2022) Research on incentive policy optimization of enterprise ecological innovation driving system. China Manag Sci 1–11. https://doi.org/10.16381/j.cnki.issn1003-207x.2021.2118
Lin XJ (2012) Study on the development and formation pattern of strategic emerging industries. Chin Soft Sci 02:26–34. https://doi.org/10.3969/j.issn.1002-9753.2012.02.004
Liu Y (2021) The influence of government’s economic management strategies on the prefabricated buildings promoting policies: analysis of quadripartite evolutionary game. Buildings 11(10):444. https://doi.org/10.3390/buildings11100444
Liu J, Wang X, Liu T (2022) Behavior choice mechanisms and tax incentive mechanisms in the game of construction safety. Buildings 12:1078. https://doi.org/10.3390/buildings12081078
Liu Y, Cai D, Guo CX et al (2020) Evolutionary game of government subsidy strategy for prefabricated buildings based on prospect theory. Math Probl Eng 8863563. https://doi.org/10.1155/2020/8863563
Liu Y, Zuo J, Pan M et al (2022b) The incentive mechanism and decision-making behavior in the green building supply market: A tripartite evolutionary game analysis. Build Environ 214. https://doi.org/10.1016/j.buildenv.2022.108903
Luo T, Xue X, Wang YN et al (2021) Tan YT. A systematic overview of prefabricated construction policies in China, J Clean Prod 124371. https://doi.org/10.1016/j.jclepro.2020.124371.
Meng Q, Liu Y, Li Z et al (2021) Dynamic reward and penalty strategies of green building construction incentive: an evolutionary game theory-based analysis. Environ Sci Pollut Res 28:44902–44915. https://doi.org/10.1007/s11356-021-13624-z
Navaratnam S, Ngo T, Gunawardena T et al (2019) Performance review of prefabricated building systems and future research in Australia. Buildings 9(2):38. https://doi.org/10.3390/buildings9020038
Ramus CA (2000) The role of supervisory support behaviors and environmental policy in employee ‘ecoinitiatives’ at leading edge European companies. Acad Manage J 43(4):605–626. https://doi.org/10.5465/1556357
Sheng JH, Zhou WH, Zhu BZ (2020) The coordination of stakeholder interests in environmental regulation: Lessons from China’s environmental regulation policies from the perspective of the evolutionary game theory. J Clean Prod 119385. https://doi.org/10.1016/j.jclepro.2019.119385
Shi Y, Li BZ, Xing ZY (2019) The governance mechanism of the building material industry (BMI) in transformation to green BMI: The perspective of green building. Sci Total Environ 04:317. https://doi.org/10.1016/j.scitotenv
Shi Y, Li BZ (2018a) Matching management of supply and demand of green building technologies based on a novel matching method with intuitionistic fuzzy sets. J Clean Prod 748–763. https://doi.org/10.1016/j.jclepro.2018.08.055.
Shi Y, Li BZ (2018b) Transferring green building technologies from academic research institutes to building enterprises in the development of urban green building: a stochastic differential game approach. Sustain Cities Soc 631–638. https://doi.org/10.1016/j.scs.2018.03.025.
Shi Y, Zhang N, Dong HM (2020) Preventing COVID-19 from the perspective of industrial information integration: Evaluation and continuous improvement of information networks for sustainable epidemic prevention, J Ind Inf Integration 100157. https://doi.org/10.1016/j.jii.2020.100157.
Shi Y, Tong D, Li BZ et al (2022) Developing a conceptual partner selection framework: digital green innovation management of prefabricated construction enterprises for sustainable urban development. Buildings 721. https://doi.org/10.3390/buildings12060721
Song DH, Wang JW, Liu DH et al (2021) The influence of government’s economic management strategies on the prefabricated buildings promoting policies: analysis of quadripartite evolutionary game. Buildings 11(10):444. https://doi.org/10.3390/buildings11100444
Wang ZL, Shen HC, Zuo J (2019) Risks in prefabricated buildings in China: importance-performance analysis approach. Sustainability 11(12):3450. https://doi.org/10.3390/su11123450
Wang J, Qin Y, Zhou J (2021) Incentive policies for prefabrication implementation of real estate enterprises: an evolutionary game theory-based analysis. Energy Pol 156:112434. https://doi.org/10.1016/j.enpol.2021.112434
Wang Y, Wang F, Sang P et al (2021b) Analyzing factors affecting developers’ behavior towards the adoption of prefabricated buildings in China. Environ Dev Sustain 23:14245–14263. https://doi.org/10.1007/s10668-021-01265-8
Wang M, Lian S, Yin S et al (2020) A three-player game model for promoting the diffusion of green technology in manufacturing enterprises from the perspective of supply and demand. Mathematics 1585. https://doi.org/10.3390/math8091585
Wu C, Yang SW, Tang PC et al (2018) Construction of the efficiency promotion model of green innovation in China’s heavy polluted industries. China Pop Resour Environ 28(5):40–48 (https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFD&filename=ZGRZ201805005). Accessed 15 May 2018
Xu Z, Zayed T, Niu Y (2020) Comparative analysis of modular construction practices in mainland China, Hong Kong and Singapore. J Clean Prod 245. https://doi.org/10.1016/j.jclepro.2019.118861.
Yin S, Li B, Xing Z (2019) The governance mechanism of the building material industry(BMI) in transformation to green BMI: the perspective of green building. Sci Total Environ 677:19–33. https://doi.org/10.1016/j.scitotenv.2019.04.317
Yu X, Wang P (2021) Economic effects analysis of environmental regulation policy in the process of industrial structure upgrading: Evidence from Chinese provincial panel data. Sci. Total Environ 142004. https://doi.org/10.1016/j.scitotenv.2020.142004
Yuan MQ, Li ZF, Li XD et al (2022) How to promote the sustainable development of prefabricated residential buildings in China: A tripartite evolutionary game analysis. J Clean Prod 131423. https://doi.org/10.1016/j.jclepro.2022.131423.
Zhang L, Wu J, Liu H (2018) Policies to enhance the drivers of green housing development in China. Energy Policy 121:225–235. https://doi.org/10.1016/j.enpol.2018.06.029
Zhou JY, Li YH, Ren DD (2022) Quantitative study on external benefits of prefabricated buildings: From perspectives of economy, environment, and society. Sustain Cities Soc 104132 https://doi.org/10.1016/j.scs.2022.104132.
Zhou J, Ren D (2020) A hybrid model of external environmental benefits compensation to practitioners for the application of prefabricated construction. Environ. Impact Assess. Rev 81:106358. https://doi.org/10.1016/j.eiar.2019.106358
Funding
This work was supported by National Natural Science Foundation of China (Nos. 72071096, 71971100).
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Conceptualization, methodology, writing original draft, formal analysis, and writing—review and editing by Xijie Ai; methodology, writing—review and editing and supervision by Qingfeng Meng and Zhen Li; investigation and software by Wenyao Liu; and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval
Not applicable.
Consent to participate
Not applicable. The manuscript does not report on or involve the use of any animal or human data or tissue.
Consent for publication
All authors declare that they are consent for publication in ESPR.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Philippe Garrigues
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Ai, X., Meng, Q., Li, Z. et al. How to effectively prevent alienation behavior of prefabricated construction developers: an optimization analysis of regulatory strategies. Environ Sci Pollut Res 30, 59282–59300 (2023). https://doi.org/10.1007/s11356-023-26503-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-26503-6