亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Exploring the impact of incentive policy on the development of prefabricated buildings: a scenario-based system dynamics model

激励 预制 建筑工程 政府(语言学) 系统动力学 业务 工程类 土木工程 计算机科学 经济 语言学 哲学 人工智能 微观经济学
作者
Yanhu Han,Xiao Fang,Xinyu Zhao,Lufan Wang
出处
期刊:Engineering, Construction and Architectural Management [Emerald Publishing Limited]
卷期号:31 (12): 4697-4725 被引量:33
标识
DOI:10.1108/ecam-01-2023-0084
摘要

Purpose The development of prefabricated buildings has become one of the primary solutions to transform the traditional construction industry around the world. Incentive policy is one of the important driving factors for the development of prefabricated building. The policy system in the field of prefabricated buildings needs to be improved urgently. However, there is still a dearth of research on how incentive policies exert impact on the development of prefabricated buildings. This paper aims to reveal the impact mechanisms of different types of policies on the development system of prefabricated buildings. Design/methodology/approach This study categorizes prefabricated building policies, constructs a system dynamics model of prefabricated building policies and conducts scenario simulations to examine the impact and sensitivity of different types of policies on the development system of prefabricated buildings. Findings The results show that compulsory policies play a greater role in the early stage of prefabricated building development and need to be withdrawn at the right time. Preferential and encouraging policies play an incentive role in the middle and later stages of prefabricated building development. Encouraging policies predominate in the later stage of prefabricated building development. Based on the research results, policy recommendations for prefabricated building development are put forward respectively from the government, developers and consumers. Originality/value The research results are expected to make up for the lack of clear policies paths in existing research and provide theoretical references for the formulation and optimization of future policies.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI2S应助科研通管家采纳,获得10
23秒前
乐乐应助科研通管家采纳,获得10
23秒前
31秒前
49秒前
木子完成签到 ,获得积分10
51秒前
55秒前
zsmj23完成签到 ,获得积分0
57秒前
1分钟前
mmc完成签到,获得积分10
1分钟前
清泉发布了新的文献求助10
1分钟前
科研通AI6.3应助黄康采纳,获得10
1分钟前
1分钟前
2分钟前
2分钟前
onmy发布了新的文献求助10
2分钟前
李志全完成签到 ,获得积分10
2分钟前
传奇3应助onmy采纳,获得10
2分钟前
2分钟前
2分钟前
2分钟前
黄康发布了新的文献求助10
2分钟前
Barista发布了新的文献求助10
2分钟前
Peng小糕发布了新的文献求助10
2分钟前
白芷完成签到 ,获得积分10
2分钟前
科研通AI2S应助Barista采纳,获得10
2分钟前
Lee发布了新的文献求助30
2分钟前
molihuakai应助Peng小糕采纳,获得10
3分钟前
3分钟前
英姑应助aniver采纳,获得10
3分钟前
3分钟前
香蕉觅云应助SSC_ALBERT采纳,获得10
3分钟前
3分钟前
aniver发布了新的文献求助10
3分钟前
4分钟前
4分钟前
4分钟前
连玉完成签到,获得积分10
4分钟前
NexusExplorer应助冷傲雨寒采纳,获得10
5分钟前
Yas完成签到,获得积分10
5分钟前
一颗柿子树完成签到,获得积分10
5分钟前
高分求助中
Malcolm Fraser : a biography 680
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Organic Reactions Volume 118 400
A Foreign Missionary on the Long March: The Unpublished Memoirs of Arnolis Hayman of the China Inland Mission 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6457863
求助须知:如何正确求助?哪些是违规求助? 8267699
关于积分的说明 17620790
捐赠科研通 5526024
什么是DOI,文献DOI怎么找? 2905558
邀请新用户注册赠送积分活动 1882315
关于科研通互助平台的介绍 1726506