气候变化领域集成服务门户(CCPortal): Modelling thermal insulation investment choice in the EU via a behaviourally informed agent-based model

CCPortal

DOI	10.1016/j.enpol.2022.112823
	Modelling thermal insulation investment choice in the EU via a behaviourally informed agent-based model
	Chersoni G.; DellaValle N.; Fontana M.
发表日期	2022
ISSN	0301-4215
卷号	163
英文摘要	In spite of the established importance that retrofitting the existing building stock has in decreasing end-use carbon emissions and of the large availability of policies aimed at financially supporting renovations, investments in the residential sector remain below the optimal levels. The paper proposes an encompassing theoretical framework that merges economic, behavioural and social motives and suggests diverse policy instruments to promote retrofitting and their appropriate targets. The paper exploits the Consumers Survey data from the Second consumer market study on the functioning of the retail electricity markets for consumers in the EU (2016) to calibrate an agent-based model of the thermal insulation investment choice. The model simulates the investment choice of 19,538 homeowners based on their perceived financial situation and environmental concern, and introduces unobserved networks on which adoption by imitation occurs. We investigate the effect of a financial incentive, a pro-environmental campaign and a norm-based intervention on the adoption rate. Results show that the interplay between economic, behavioural, and social motives produces unexpected outcomes: policies that leverage only one motive are nonetheless affected by the others. © 2022 The Authors
英文关键词	Adoption of energy efficient technologies; Agent-based modelling; Behavioural economics; Thermal insulation
语种	英语
scopus关键词	Autonomous agents; Commerce; Computational methods; Energy efficiency; Investments; Retrofitting; Thermal insulation; Adoption of energy-efficient technologies; Agent-based model; Behavioral economics; Building stocks; Carbon emissions; End-uses; Optimal level; Policy instruments; Residential sectors; Theoretical framework; Simulation platform; electricity supply; energy efficiency; insulation; numerical model; retailing; theoretical study; Europe
来源期刊	Energy Policy
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/256303
作者单位	Department of Economics and Statistics, University of Turin, Italy; Eurac Research, Institute for Renewable Energy, Italy; European Commission, Joint Research Centre, Italy; Despina Big Data Lab, Italy
推荐引用方式 GB/T 7714	Chersoni G.,DellaValle N.,Fontana M.. Modelling thermal insulation investment choice in the EU via a behaviourally informed agent-based model[J],2022,163.
APA	Chersoni G.,DellaValle N.,&Fontana M..(2022).Modelling thermal insulation investment choice in the EU via a behaviourally informed agent-based model.Energy Policy,163.
MLA	Chersoni G.,et al."Modelling thermal insulation investment choice in the EU via a behaviourally informed agent-based model".Energy Policy 163(2022).