首页|Reports on Machine Learning Findings from Chengdu University Provide New Insight s (Climate bonds toward achieving net zero emissions and carbon neutrality:Evid ence from machine learning technique)
Reports on Machine Learning Findings from Chengdu University Provide New Insight s (Climate bonds toward achieving net zero emissions and carbon neutrality:Evid ence from machine learning technique)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence.According to news originating from Sichuan,People's Republic of China,by NewsRx correspondents,research stated,"The Conference of the Part ies (COP26 and 27) placed significant emphasis on climate financing policies wit h the objective of achieving net zero emissions and carbon neutrality.However,studies on the implementation of this policy proposition are limited." Funders for this research include Xiamen University.Our news reporters obtained a quote from the research from Chengdu University:" To address this gap in the literature,this study employs machine learning techn iques,specifically natural language processing (NLP),to examine 77 climate bon d (CB) policies from 32 countries within the context of climate financing.The f indings indicate that ‘sustainability' and ‘carbon emissions control' are the mo st outlined policy objectives in these CB policies.Additionally,the study high lights that most CB funds are invested toward energy projects (i.e.,renewable,clean,and efficient initiatives).However,there has been a notable shift in th e allocation of CB funds from climate-friendly energy projects to the constructi on sector between 2015 and 2019.This shift raises concerns about the potential redirection of funds from climate-focused investments to the real estate industr y,potentially leading to the greenwashing of climate funds.Furthermore,policy sentiment analysis revealed that a minority of policies hold skeptical views on climate change,which may negatively influence climate actions."
Chengdu UniversitySichuanPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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