Green buildings (GBs) can effectively reduce building energy consumption and alleviate energy problems. However, as green building projects swell, the development process of GBs in China has gradually exposed many problems, among which the greenwashing behavior of construction enterprises is the more serious. The government needs to adopt some appropriate policies to prevent problems in GBs. This paper uses the evolutionary game theory to construct models and proposes four policy combinations: static reward and static punishment, static reward and dynamic punishment, dynamic reward and static punishment, dynamic reward and dynamic punishment. We compare the impact of four combinations on construction strategy and analyze the inner mechanisms of the behavior evolution of government departments and construction enterprises. Our results revealed no evolutionary stabilization strategy in the game system under the static reward and punishment policy. Under the combination of dynamic subsidies and static penalty policy, the green construction effect of construction enterprises is the best. Furthermore, dynamic reward policy has a more obvious restraining effect on construction enterprises. The government should dynamically adjust rewards and punishments according to the construction quality and determine the appropriate upper limit of rewards and punishments to improve the policies' applicability and effectiveness. This study provides theoretical support for the healthy development of green buildings.
机构:
Nazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, KazakhstanNazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, Kazakhstan
Assylbekov, Daniyar
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Nadeem, Abid
Hossain, Md Aslam
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机构:
Monash Univ Malaysia, Sch Engn, Jalan Lagoon Selatan, Bandar Sunway 47500, Selangor, MalaysiaNazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, Kazakhstan
Hossain, Md Aslam
Akhanova, Gulzhanat
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Nazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, KazakhstanNazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, Kazakhstan
Akhanova, Gulzhanat
Khalfan, Malik
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机构:
RMIT Univ, Sch Property Construct & Project Management, Melbourne, Vic 3000, Australia
Univ Plymouth, Plymouth Business Sch, Plymouth PL4 8AA, Devon, EnglandNazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, Kazakhstan
机构:
Shanghai Maritime Univ, Logist Res Ctr, Shanghai 201306, Peoples R China
Hainan Trop Ocean Univ, Sch Maritime Business, Sanya 572022, Peoples R ChinaShanghai Maritime Univ, Logist Res Ctr, Shanghai 201306, Peoples R China
Chen, Wanting
Hu, Zhi-Hua
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机构:
Shanghai Maritime Univ, Logist Res Ctr, Shanghai 201306, Peoples R ChinaShanghai Maritime Univ, Logist Res Ctr, Shanghai 201306, Peoples R China
机构:
Nazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, KazakhstanNazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, Kazakhstan
Assylbekov, Daniyar
论文数: 引用数:
h-index:
机构:
Nadeem, Abid
Hossain, Md Aslam
论文数: 0引用数: 0
h-index: 0
机构:
Monash Univ Malaysia, Sch Engn, Jalan Lagoon Selatan, Bandar Sunway 47500, Selangor, MalaysiaNazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, Kazakhstan
Hossain, Md Aslam
Akhanova, Gulzhanat
论文数: 0引用数: 0
h-index: 0
机构:
Nazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, KazakhstanNazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, Kazakhstan
Akhanova, Gulzhanat
Khalfan, Malik
论文数: 0引用数: 0
h-index: 0
机构:
RMIT Univ, Sch Property Construct & Project Management, Melbourne, Vic 3000, Australia
Univ Plymouth, Plymouth Business Sch, Plymouth PL4 8AA, Devon, EnglandNazarbayev Univ, Dept Civil & Environm Engn, Nur Sultan 010000, Kazakhstan
机构:
Shanghai Maritime Univ, Logist Res Ctr, Shanghai 201306, Peoples R China
Hainan Trop Ocean Univ, Sch Maritime Business, Sanya 572022, Peoples R ChinaShanghai Maritime Univ, Logist Res Ctr, Shanghai 201306, Peoples R China
Chen, Wanting
Hu, Zhi-Hua
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai Maritime Univ, Logist Res Ctr, Shanghai 201306, Peoples R ChinaShanghai Maritime Univ, Logist Res Ctr, Shanghai 201306, Peoples R China