2022
DOI: 10.3390/ijerph19042238
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How Do Government Policies Promote Green Housing Diffusion in China? A Complex Network Game Context

Abstract: To reduce energy consumption and environmental pollution in the construction industry, many countries have focused on the development of green housing (GH), which is a type of green building for residential use. In China, the local governments have introduced various incentive policies to encourage the development of GH; however, its scale is still small and unevenly distributed. This implies a necessity to optimize the policies that apply to the GH incentive. To promote GH diffusion, we built an evolutionary … Show more

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Cited by 8 publications
(3 citation statements)
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“…This downward trajectory signifies a reduction in resistance to change, indicating that factors such as government support and other elements discussed above contribute to fostering an environment conducive to sustainable approaches. These findings align with [134], who emphasized that government support plays a pivotal role in mitigating resistance to change in the CI, particularly when transitioning to sustainable practices.…”
Section: Simulation Of Sd Model and Discussionsupporting
confidence: 84%
“…This downward trajectory signifies a reduction in resistance to change, indicating that factors such as government support and other elements discussed above contribute to fostering an environment conducive to sustainable approaches. These findings align with [134], who emphasized that government support plays a pivotal role in mitigating resistance to change in the CI, particularly when transitioning to sustainable practices.…”
Section: Simulation Of Sd Model and Discussionsupporting
confidence: 84%
“…In the experiments, I set two selection mechanisms of the reconnected node, one is complete randomly [40] which is that the node completely randomly chooses a cooperative and relatively high fitness node to change their edge's weight. The other mechanism is the preferred chosen mechanism [41] which is that the node randomly chooses a node from the top 20 high fitness nodes to change their edge's weight. The average degree of nodes is used to analyze whether the two mechanisms can effectively simulate the real situation.…”
Section: B Influence Of Selection Mechanism When Reconnected Nodementioning
confidence: 99%
“…sustainable lodgings, green banking or finance, green supply chain, hybrid vehicles, and power companies (e.g., [3,11,[13][14][15][16][17][18][19][20]). Many studies [4,12,[21][22][23][24][25][26][27] have investigated the impact of environmental considerations on consumers' choices regarding one of the largest lifetime purchases they will ever make (the purchase of a dwelling). Some academics have investigated the factors that influence people's decisions to buy eco-friendly homes [23,28,29].…”
Section: Introductionmentioning
confidence: 99%