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Digital Life And Carbon Inclusive Literacy

Posted on:2024-08-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y J YanFull Text:PDF
GTID:2531307052477044Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
The deep integration of digital life and production life further promotes residents to form a green and low-carbon consumption concept and consumption mode.Digital life is considered to be an important support for achieving the dual carbon goals and improving residents’ carbon inclusive literacy in the critical period of rapid economic growth to highquality development.In recent years,the continuous increase of greenhouse gases dominated by carbon dioxide has led to accelerated global glacier ablation,sea level rise,drought and flood polarization and other extreme phenomena.On the increasingly serious global climate issue,promoting low-carbon development and improving carbon inclusive literacy has become the consensus of all circles.Therefore,the improvement of the digital living standard will help to improve the carbon inclusive literacy of residents,so as to achieve the strategic goals of carbon peak by 2030 and carbon neutrality by 2060.First of all,this paper uses questionnaire data to explore the impact of digital life on carbon inclusive literacy,and conducts robust that test by changing variable measurement methods.Secondly,in different individual attributes,family structure,permanent residence and regional attributes,the impact of digital life on carbon inclusive literacy is compared and analyzed.In addition,as digital life may enhance residents’ carbon inclusive literacy by strengthening their ability to access information,enhancing their participation in environmental governance and promoting family entrepreneurship,this paper tests this intermediary effect.Finally,in order to further refine and analyze the promotion effect of digital life on carbon inclusive literacy,this paper establishes regression models and conducts comparative analysis under different quantile conditions of carbon inclusive literacy,knowledge reserves,low-carbon behavior and attitude willingness.The results show that: first,digital life has a significant positive impact on carbon inclusive literacy.After a series of robustness tests,the positive impact is still significant,and the model is robust.Second,the heterogeneity test results show that digital life has a more significant impact on carbon inclusive literacy among households with higher disposable income,families with lower proportion of young people and elderly people,residents who live in cities and towns and residents who are relatively late in the regional carbon inclusive pilot.Third,the intermediary effect test shows that digital life improves the carbon inclusive literacy of residents by improving information access and interaction capabilities,enhancing participation in environmental governance and promoting family entrepreneurship.Fourth,further analysis shows that the impact of digital life on carbon inclusive literacy,low-carbon behavior and attitude will gradually increase with the increasing quantile,while the impact on carbon inclusive knowledge reserves is in an "inverted U" distribution.The marginal contribution of this paper is mainly shown in the following aspects: First,from the research perspective,this study further enriched the micro evidence of digital life on carbon inclusive literacy,improved the impact mechanism,and expanded the research on the results of digital living environment.Secondly,from the research content,the micro index evaluation system of carbon inclusive literacy and digital life is proposed,and quantitative analysis is conducted through questionnaires.Finally,this paper combines the research conclusions with the current situation of residents’ carbon inclusive literacy,and puts forward a series of practical suggestions from different angles,which has practical significance for residents to further improve their carbon inclusive literacy.
Keywords/Search Tags:Carbon Inclusive Literacy, Digital Life, Low Carbon Society
PDF Full Text Request
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