基于复杂系统模型的英国气候变化政策综合研究:2001年至2020年的证据

IF 7.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Weiyi Jiang , Yihang Hong , Chun Xia Yang
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引用次数: 0

摘要

英国是一个高度工业化和经济发达的国家,其温室气体排放量历史上远高于全球平均水平,因此对全球气候变化做出了重大贡献。在过去的二十年里,英国政府采取了一系列措施来减少排放,比如立法和采用市场机制。2001年至2020年,政府和智库发布的气候政策数量分别增加了73倍和171倍,温室气体排放量减少了43%,二氧化碳排放量减少了44%。虽然先前的研究已经确定了政策数量与排放之间的负相关关系,但具体政策主题的相对重要性仍不清楚。在这项研究中,我们采用潜在狄利克雷分配(LDA)模型来确定2001年至2020年英国发布的气候政策中的关键主题。随后,应用偏最小二乘(PLS)回归来量化每个政策主题对减少温室气体排放的贡献。定量结果表明,以“气候”、“碳”、“温室”、“气体”、“低”等为主题的政策占总减排的73.3%。此外,我们将政策系统建模为一个复杂的网络来评估结构相互作用。这些发现为寻求设计更有效的气候战略的决策者提供了可行的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive study of UK climate change policies based on complex systems modeling: Evidence from 2001 to 2020
The United Kingdom is a highly industrialized and economically developed country, with greenhouse gas (GHGs) emissions historically well above the global average, thereby significantly contributing to global climate change. Over the past two decades, the UK government has introduced a range of measures to mitigate emissions, such as enacting legislation and employing market-based mechanisms. Between 2001 and 2020, the number of climate policies issued by the government and think tanks increased by 73 and 171 times, respectively, accompanied by a 43% reduction in GHGs and a 44% reduction in CO2 emissions. Although prior research has identified a negative correlation between policy quantity and emissions, the relative importance of specific policy themes remains unclear. In this study, we employed the Latent Dirichlet Allocation (LDA) model to identify key thematic topics within UK climate policies published from 2001 to 2020. Subsequently, Partial Least Squares (PLS) regression was applied to quantify the contribution of each policy theme to reductions in GHGs emissions. Our quantitative results show that policies emphasizing themes such as “climate”, “carbon”, “greenhouse”, “gas”, and “low” accounted for 73.3% of the total emission reduction. Furthermore, we modeled the policy system as a complex network to assess structural interactions. These findings provide actionable insights for policymakers seeking to design more effective climate strategies.
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来源期刊
Expert Systems with Applications
Expert Systems with Applications 工程技术-工程:电子与电气
CiteScore
13.80
自引率
10.60%
发文量
2045
审稿时长
8.7 months
期刊介绍: Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.
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