How Does the Government Policy Combination Prevents Greenwashing in Green Building Projects? An Evolutionary Game Perspective

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 mor...

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Main Authors: Yuqing Chen, Zhen Li, Jiaying Xu, Yingying Liu, Qingfeng Meng
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/13/4/917
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author Yuqing Chen
Zhen Li
Jiaying Xu
Yingying Liu
Qingfeng Meng
author_facet Yuqing Chen
Zhen Li
Jiaying Xu
Yingying Liu
Qingfeng Meng
author_sort Yuqing Chen
collection DOAJ
description 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.
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spelling doaj.art-5d3bed8aaafb4a7eb130b6b23d4080162023-11-17T18:34:59ZengMDPI AGBuildings2075-53092023-03-0113491710.3390/buildings13040917How Does the Government Policy Combination Prevents Greenwashing in Green Building Projects? An Evolutionary Game PerspectiveYuqing Chen0Zhen Li1Jiaying Xu2Yingying Liu3Qingfeng Meng4School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, ChinaSchool of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, ChinaSchool of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, ChinaAAC Technologies, Ruisheng Science Park, No. 3, Changcao Road, Changzhou 213100, ChinaSchool of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, ChinaGreen 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.https://www.mdpi.com/2075-5309/13/4/917green buildingsgreenwashingbehavioral decisionpolicy combinationevolutionary game
spellingShingle Yuqing Chen
Zhen Li
Jiaying Xu
Yingying Liu
Qingfeng Meng
How Does the Government Policy Combination Prevents Greenwashing in Green Building Projects? An Evolutionary Game Perspective
Buildings
green buildings
greenwashing
behavioral decision
policy combination
evolutionary game
title How Does the Government Policy Combination Prevents Greenwashing in Green Building Projects? An Evolutionary Game Perspective
title_full How Does the Government Policy Combination Prevents Greenwashing in Green Building Projects? An Evolutionary Game Perspective
title_fullStr How Does the Government Policy Combination Prevents Greenwashing in Green Building Projects? An Evolutionary Game Perspective
title_full_unstemmed How Does the Government Policy Combination Prevents Greenwashing in Green Building Projects? An Evolutionary Game Perspective
title_short How Does the Government Policy Combination Prevents Greenwashing in Green Building Projects? An Evolutionary Game Perspective
title_sort how does the government policy combination prevents greenwashing in green building projects an evolutionary game perspective
topic green buildings
greenwashing
behavioral decision
policy combination
evolutionary game
url https://www.mdpi.com/2075-5309/13/4/917
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