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      Perceptions of GHG emissions and renewable energy sources in Europe, Australia and the USA

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          Abstract

          People’s sentiments and perceptions of greenhouse gas emission and renewable energy are important information to understand their reaction to the planned mitigation policy. Therefore, this research analyzes people’s perceptions of greenhouse gas emissions and their preferences for renewable energy resources using a sample of Twitter data. We first identify themes of discussion using semantic text similarity and network analysis. Next, we measure people’s interest in renewable energy resources based on the mentioned rate in Twitter and search interest in Google trends. Then, we measure people’s sentiment toward these resources and compare the interest with sentiments to identify opportunities for policy improvement. The results indicate a minor influence of governmental assemblies on Twitter discourses compared to a very high influence of two renewable energy providers amounts to more than 40% of the tweeting activities related to renewable energy. The search interest analysis shows a slight shift in people’s interest in favor of renewable energy. The interest in geothermal energy is decreasing while interest in biomass energy is increasing. The sentiment analysis shows that biomass energy has the highest positive sentiments while solar and wind energy have higher interest. Solar and wind energy are found to be the two most promising sources for the future energy transition. Our study implies that governments should practice a higher influence on promoting awareness of the environment and converging between people’s interests and feasible energy solutions. We also advocate Twitter as a source for collecting real-time data about social preferences for environmental policy input.

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          Most cited references39

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          Probabilistic topic models

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            Lexicon-Based Methods for Sentiment Analysis

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              Indexing by latent semantic analysis

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                Author and article information

                Contributors
                yaming99@ysu.edu.cn
                abbasmajed@gmail.com
                wasimiqbal01@yahoo.com
                Journal
                Environ Sci Pollut Res Int
                Environ Sci Pollut Res Int
                Environmental Science and Pollution Research International
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0944-1344
                1614-7499
                25 August 2021
                : 1-17
                Affiliations
                [1 ]GRID grid.413012.5, ISNI 0000 0000 8954 0417, School of Economics and Management, , Yanshan University, ; Qinhuangdao, 066004 China
                [2 ]GRID grid.413012.5, ISNI 0000 0000 8954 0417, Research Center of Regional Economic Development, , Yanshan University, ; Qinhuangdao, 066004 China
                [3 ]GRID grid.413012.5, ISNI 0000 0000 8954 0417, Center for Internet Plus and Industry Development, , Yanshan University, ; Qinhuangdao, 066004 China
                [4 ]GRID grid.263488.3, ISNI 0000 0001 0472 9649, Department of Management Science, College of Management, , Shenzhen University, ; Shenzhen, China
                Author notes

                Responsible Editor: Baojing Gu

                Article
                15935
                10.1007/s11356-021-15935-7
                8385703
                34432213
                e185a8dc-b021-4f7c-935f-a8856eb4cd1a
                © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 24 April 2021
                : 8 August 2021
                Funding
                Funded by: Hebei Key Research Institute of Humanities and Social Sciences at Universities
                Award ID: (No.JJ1914
                Award ID: No.JJJD1808).
                Award Recipient :
                Categories
                Research Article

                General environmental science
                twitter,sentiment analysis,topic modeling,ghg emission,renewable energy

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