PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector
The bioethanol sector is an extremely complex set of actors, technologies and market structures, influenced simultaneously by different natural, economic, social and political processes. That is why it lends itself to the application of system dynamics modelling. In last five years a relatively high...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/9/2323 |
| _version_ | 1797568611247718400 |
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| author | Judit Oláh Eszter Krisán Anna Kiss Zoltán Lakner József Popp |
| author_facet | Judit Oláh Eszter Krisán Anna Kiss Zoltán Lakner József Popp |
| author_sort | Judit Oláh |
| collection | DOAJ |
| description | The bioethanol sector is an extremely complex set of actors, technologies and market structures, influenced simultaneously by different natural, economic, social and political processes. That is why it lends itself to the application of system dynamics modelling. In last five years a relatively high level of experience and knowledge has accumulated related to the application of computer-aided system modelling for the analysis and forecasting of the bioethanol sector. The goal of the current paper is to offer a systematic review of the application of system dynamics models in order to better understand the structure, conduct and performance of the bioethanol sector. Our method has been the preferred reporting items for systematic reviews and meta-analyses (PRISMA), based on English-language materials published between 2015 and 2020. The results highlight that system dynamic models have become more and more complex, but as a consequence of the improvement in information technology and statistical systems, as well as the increasing experience gained they offer an efficient tool for decision makers in the business and political spheres. In the future, the combination of traditional system dynamics modelling and agent-based models will offer new perspectives for the preparation of more sophisticated description and forecasting. |
| first_indexed | 2024-03-10T19:59:25Z |
| format | Article |
| id | doaj.art-727f443693e74d7f8152a396d0c84812 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T19:59:25Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-727f443693e74d7f8152a396d0c848122023-11-19T23:42:04ZengMDPI AGEnergies1996-10732020-05-01139232310.3390/en13092323PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol SectorJudit Oláh0Eszter Krisán1Anna Kiss2Zoltán Lakner3József Popp4Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, HungaryFaculty of Economics and Social Sciences, Szent István University, 2100 Gödöllő, HungaryFaculty of Food Science, Szent István University, 1118 Budapest, HungaryDepartment of Food Economics, Faculty of Food Science, Szent István University, 2100 Gödöllő, HungaryTRADE Research Entity, North-West University, Vanderbijlpark 1900, South AfricaThe bioethanol sector is an extremely complex set of actors, technologies and market structures, influenced simultaneously by different natural, economic, social and political processes. That is why it lends itself to the application of system dynamics modelling. In last five years a relatively high level of experience and knowledge has accumulated related to the application of computer-aided system modelling for the analysis and forecasting of the bioethanol sector. The goal of the current paper is to offer a systematic review of the application of system dynamics models in order to better understand the structure, conduct and performance of the bioethanol sector. Our method has been the preferred reporting items for systematic reviews and meta-analyses (PRISMA), based on English-language materials published between 2015 and 2020. The results highlight that system dynamic models have become more and more complex, but as a consequence of the improvement in information technology and statistical systems, as well as the increasing experience gained they offer an efficient tool for decision makers in the business and political spheres. In the future, the combination of traditional system dynamics modelling and agent-based models will offer new perspectives for the preparation of more sophisticated description and forecasting.https://www.mdpi.com/1996-1073/13/9/2323PRISMA statementbioethanolbiofuelreview |
| spellingShingle | Judit Oláh Eszter Krisán Anna Kiss Zoltán Lakner József Popp PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector Energies PRISMA statement bioethanol biofuel review |
| title | PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector |
| title_full | PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector |
| title_fullStr | PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector |
| title_full_unstemmed | PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector |
| title_short | PRISMA Statement for Reporting Literature Searches in Systematic Reviews of the Bioethanol Sector |
| title_sort | prisma statement for reporting literature searches in systematic reviews of the bioethanol sector |
| topic | PRISMA statement bioethanol biofuel review |
| url | https://www.mdpi.com/1996-1073/13/9/2323 |
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