Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017
This study attempts to characterize the literature related to input–output analysis between 1990–2017 through bibliometric analysis technology based on the Science Citation Index and Social Sciences Citation Index databases. By means of bibliometric tools, this paper provides dee...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-09-01
|
| Series: | Sustainability |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2071-1050/10/9/3135 |
| id |
doaj-art-b7dae986857740d0822432e049d85e82 |
|---|---|
| recordtype |
oai_dc |
| spelling |
doaj-art-b7dae986857740d0822432e049d85e822018-09-04T06:27:13ZengMDPI AGSustainability2071-10502018-09-01109313510.3390/su10093135su10093135Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017Yulei Xie0Ling Ji1Beibei Zhang2Gordon Huang3School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaResearch Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing 100124, ChinaResearch Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing 100124, ChinaEnvironmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, SK S4S 0A2, CanadaThis study attempts to characterize the literature related to input–output analysis between 1990–2017 through bibliometric analysis technology based on the Science Citation Index and Social Sciences Citation Index databases. By means of bibliometric tools, this paper provides deep insights on the patterns of these articles, the most influential works and authors, and the emerging research topics. The results imply that China and the United States (USA) are the leading countries in terms of publication output. The Chinese Academy of Sciences is the most productive research institution, followed by Beijing Normal University and the University of Sydney. The Journal of Cleaner Production, Ecological Economics, and Energy Policy are the top mainstream journals in the input–output analysis-related field. Based on network analysis, this paper also discovers the hidden collaboration patterns and interrelations of countries, institutions, and authors. The bibliographic coupling and keywords concurrence networks are adopted to illustrate the input–output analysis evolution over time, and identify the current key research hotspots. The obtained results will help scientific researchers better understand the research status and frontier trends in this field, permit researchers to know the current research interests in the input–output analysis field, and provide useful information for further investigation and publication strategies.http://www.mdpi.com/2071-1050/10/9/3135bibliometric analysisinput–output analysisbibliographic couplingco-occurrence networknetwork analysis |
| institution |
Open Data Bank |
| collection |
Open Access Journals |
| building |
Directory of Open Access Journals |
| language |
English |
| format |
Article |
| author |
Yulei Xie Ling Ji Beibei Zhang Gordon Huang |
| spellingShingle |
Yulei Xie Ling Ji Beibei Zhang Gordon Huang Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017 Sustainability bibliometric analysis input–output analysis bibliographic coupling co-occurrence network network analysis |
| author_facet |
Yulei Xie Ling Ji Beibei Zhang Gordon Huang |
| author_sort |
Yulei Xie |
| title |
Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017 |
| title_short |
Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017 |
| title_full |
Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017 |
| title_fullStr |
Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017 |
| title_full_unstemmed |
Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017 |
| title_sort |
evolution of the scientific literature on input–output analysis: a bibliometric analysis of 1990–2017 |
| publisher |
MDPI AG |
| series |
Sustainability |
| issn |
2071-1050 |
| publishDate |
2018-09-01 |
| description |
This study attempts to characterize the literature related to input–output analysis between 1990–2017 through bibliometric analysis technology based on the Science Citation Index and Social Sciences Citation Index databases. By means of bibliometric tools, this paper provides deep insights on the patterns of these articles, the most influential works and authors, and the emerging research topics. The results imply that China and the United States (USA) are the leading countries in terms of publication output. The Chinese Academy of Sciences is the most productive research institution, followed by Beijing Normal University and the University of Sydney. The Journal of Cleaner Production, Ecological Economics, and Energy Policy are the top mainstream journals in the input–output analysis-related field. Based on network analysis, this paper also discovers the hidden collaboration patterns and interrelations of countries, institutions, and authors. The bibliographic coupling and keywords concurrence networks are adopted to illustrate the input–output analysis evolution over time, and identify the current key research hotspots. The obtained results will help scientific researchers better understand the research status and frontier trends in this field, permit researchers to know the current research interests in the input–output analysis field, and provide useful information for further investigation and publication strategies. |
| topic |
bibliometric analysis input–output analysis bibliographic coupling co-occurrence network network analysis |
| url |
http://www.mdpi.com/2071-1050/10/9/3135 |
| _version_ |
1612619131970912256 |