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 game model on a complex network to analyze the impacts of government policies on GH pricing and demand and the profits of real estate enterprises developing GH. By implementing simulations, we further explored the incentive effect and operational mechanism of the government policies. The results show that the subsidy policy, the preferential policy for GH, and the restriction policy for ordinary housing can effectively promote the diffusion of GH to 0.6752, 0.506, and 0.5137 respectively. Meanwhile, the incentive effect of the enterprise subsidy policy and GH preferential policy gradually decreases with the increase in policy strength. In terms of the demand side, the consumer subsidy policy could promote GH diffusion to 0.7097. If the subsidy is below 120 CNY/m2, the effect of the consumer subsidy policy is less powerful than that of the enterprises subsidy policy; conversely, the former is slightly more effective than the latter. The outcome of the study has managerial implications on governmental decision-making, especially on the strategy design of incentive policies for GH.

Highlights

  • IntroductionGreen housing is a special kind of green building for residential use, the characteristics of which are maximum savings on resources, protection of the environment and reduced pollution [1,2]

  • The network findingsconstructed of the paper willestate reveal which policies are more effective in increa a complex of real enterprises is developed, providing a new the willingness of companies to develop green housing, and how to implement the approach to examine the impact of government policy on business decisions

  • Using an evolutionary game model on a complex network, it analyzes the impact of various government policies on market demand for green housing (GH) and the profits of enterprises, reveals the mechanisms of the various policies, and analyzes the incentive effects through simulation

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Summary

Introduction

Green housing is a special kind of green building for residential use, the characteristics of which are maximum savings on resources, protection of the environment and reduced pollution [1,2]. Compared with ordinary housing (OH), GH has obvious advantages in reducing carbon emissions, lowering energy consumption, protecting the ecological environment and improving people’s living conditions [4,5]. In order to better regulate the development of green buildings, countries around the world have developed relevant certification standards, such as LEED in the US, BREEAM in the UK, DGNB in Germany, CASBEE in Japan, GB Tool in Canada, Green Star in Australia, HQE in France and ESGB in China. Many countries around the world have attached great importance to the development of GH

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