Evaluation of financial incentives for green buildings in Canadian landscape

Rana, Anber; Sadiq, Rehan; Alam, Muddasser; Karunathilake, Hirushie; Hewage, Kasun

doi:10.1016/j.rser.2020.110199

Cited by 60 publications

(23 citation statements)

References 137 publications

(240 reference statements)

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“…Therefore, the government should pay attention to the needs and preferences of GH customers when implementing green building incentives [ 34 ]. In addition, some scholars have studied GH incentive models, financial subsidy approaches, and technological upgrades from the perspectives of transaction costs, green finance [ 35 ], and regional economic fundamentals [ 36 ] and population composition [ 37 ]. Some scholars have also studied the influencing factors of GH incentive policies.…”

Section: Literature Reviewmentioning

confidence: 99%

How Do Government Policies Promote Green Housing Diffusion in China? A Complex Network Game Context

Cao

Zhao

Xing

2022

IJERPH

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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.

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Section: Literature Reviewmentioning

confidence: 99%

How Do Government Policies Promote Green Housing Diffusion in China? A Complex Network Game Context

Cao

Zhao

Xing

2022

IJERPH

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“…Financial incentives can address stakeholders' main concerns on economic issues related to retrofit projects, such as high initial cost and long payback period, and thus improve their willingness to renovate their buildings [45]. However, financial incentives might impose a heavy financial burden on governments in the long run [46]. According to the analysis mentioned above, the identified optimal retrofit packages can produce both environmental and economic benefits.…”

Section: Prioritized Retrofit Packagesmentioning

confidence: 99%

Artificial Neural Network for Predicting Building Energy Performance: A Surrogate Energy Retrofits Decision Support Framework

et al. 2022

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Assessing the energy performance of existing residential buildings (ERB) has been identified as key to improving building energy efficiency and reducing associated greenhouse gas emissions in Canada. However, identifying optimal retrofit packages requires a significant amount of knowledge of building energy modelling, and it is a time-consuming and laborious process. This paper proposed a data-driven framework that combines machine learning, multi-objective optimization, and multi-criteria decision-making techniques to evaluate the energy performance of ERB and thereby formulate optimal retrofit plans. First, an artificial neural network (ANN) was developed to predict the energy performance of a wide range of retrofit packages. A genetic algorithm was employed to determine the best structure and hyperparameters of the ANN model. Then, the energy consumption results were integrated with environmental and economic impact data to evaluate the environmental and economic performance of retrofit packages and thereby identify Pareto optimal solutions. Finally, a multi-criteria decision-making method was used to select the best retrofit packages among the optimal solutions. The proposed framework was validated using data on a typical residential building in British Columbia, Canada. The results indicated that this framework could effectively predict building energy performance and help decision-makers to make an optimal decision when choosing retrofit packages.

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“…Parameter assumptions: In this article, x and y represent the probability that the government adopts the subsidy policy and the developer develops GBs, respectively, where x, y ∈ [0, 1] are all functions of time t and the relevant parameter assumptions [13,15,19] are shown in Table 2.…”

Section: Model Assumptionmentioning

confidence: 99%

Evolutionary Game Theory and the Simulation of Green Building Development Based on Dynamic Government Subsidies

et al. 2022

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The carbon emissions of the construction industry pose a significant challenge to implementing China’s carbon peaking and carbon neutrality goals. This study considered how to promote stable green building (GB) development. First, evolutionary game theory (EGT) was applied to examine the interaction mechanism of complex behaviors between governments and developers, constructing two scenarios of static and dynamic subsidies. Second, we proposed the ideal state where the government does not give funding subsidies and developers take the initiative to build GBs. On this basis, the simulation method was used to verify the game models and primary conclusions. Finally, a detailed sensitivity analysis of selected parameters was undertaken. The results demonstrated that subsidy policy phase-outs could help in the development of GBs; the probability of an ideal state was positively correlated with government supervision and punishment, and it was negatively correlated with government funding subsidies. The research results can be used as a reference for the government to improve incentive measures and decision support for stakeholders to adjust their strategies.

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Evaluation of financial incentives for green buildings in Canadian landscape

Cited by 60 publications

References 137 publications

How Do Government Policies Promote Green Housing Diffusion in China? A Complex Network Game Context

How Do Government Policies Promote Green Housing Diffusion in China? A Complex Network Game Context

Artificial Neural Network for Predicting Building Energy Performance: A Surrogate Energy Retrofits Decision Support Framework

Evolutionary Game Theory and the Simulation of Green Building Development Based on Dynamic Government Subsidies

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