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Patterns and trends in the concept of green economy: A text mining approach

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dc.title Patterns and trends in the concept of green economy: A text mining approach en
dc.contributor.author Afful-Dadzie, Eric
dc.contributor.author Nabareseh, Stephen
dc.contributor.author Komínková Oplatková, Zuzana
dc.relation.ispartof Modern Trends and Techniques in Computer Science (CSOC 2014)
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-331906739-1
dc.date.issued 2014
utb.relation.volume 285
dc.citation.spage 143
dc.citation.epage 154
dc.event.title 3rd Computer Science On-line Conference, CSOC 2014
dc.event.sdate 2014-04-28
dc.event.edate 2014-04-30
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag
dc.identifier.doi 10.1007/978-3-319-06740-7_13
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-06740-7_13
dc.subject Economic development en
dc.subject Green economy en
dc.subject Green growth en
dc.subject Sustainable development en
dc.subject Text mining en
dc.subject Web mining en
dc.description.abstract The term ‘green economy’ has recently become a topical issue that has engaged the attention of Governments, International bodies and the media. The understanding of this concept and policy concentration is carved in various ways depending on the body that is engaged. There exist varied definitions of the ‘green economy’ with many associating it directly to agriculture since it has the ‘green’ connotation. However, despite the varied definitions, one principle that stands out most is the term ‘‘Sustainable development’’ or simply ‘‘sustainability. It has 3 pillars namely; social sustainability, economic and environment sustainability. Based on the in-depth of knowledge of the concept of green economy and the commitment of Governments and other international organizations, several policy documents and articles have been published on the web for global consumption. This paper uses the web mining algorithms in-built in the R programming language to mine over 402 English articles on the internet on green economy. It identifies relevant terms and patterns, reveals frequent associative words and gives a conglomerate understanding of the concept. It also brings out the most active participants in the green economic drive and sought to find if by chance any of the three pillars of sustainability would be found in the most frequent terms. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004198
utb.identifier.obdid 43871860
utb.identifier.scopus 2-s2.0-84923814080
utb.identifier.wok 000370620000013
utb.source d-scopus
dc.date.accessioned 2015-05-06T06:58:23Z
dc.date.available 2015-05-06T06:58:23Z
utb.contributor.internalauthor Afful-Dadzie, Eric
utb.contributor.internalauthor Nabareseh, Stephen
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.fulltext.affiliation Eric Afful-Dadzie, Stephen Nabareseh and Zuzana Komínková Oplatková E. Afful-Dadzie (&) Z. K. Oplatková Faculty of Applied Informatics, Tomas Bata University in Zlin, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: afful@fai.utb.cz Z. K. Oplatková e-mail: kominkovaoplatkova@fai.utb.cz S. Nabareseh Faculty of Management and Economics, Tomas Bata University in Zlin, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic e-mail: nabareseh@fame.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by Internal Grant Agency of Tomas Bata University IGA/FAI/2014/037 and by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
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