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Sustainability in Numbers by Data Analytics

For a successful delivery of the United Nations Sustainable Development Goals (UNSDGs) and to track the progress of UNSDGs as well as identify the gaps and the areas requiring more attention, periodic analyses on the “research on sustainability” by various countries and their contribution to the top...

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Main Authors: Ramakrishna, Seeram, Hu, Wayne, Rajan, Jose
Format: Article
Language:English
Published: Springer Nature 2023
Subjects:
HD28 Management. Industrial Management
Online Access:http://umpir.ump.edu.my/id/eprint/40762/1/Sustainability%20in%20Numbers%20by%20Data%20Analytics.pdf
http://umpir.ump.edu.my/id/eprint/40762/
https://doi.org/10.1007/s43615-022-00201-w
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spelling my.ump.umpir.407622024-03-26T02:45:23Z http://umpir.ump.edu.my/id/eprint/40762/ Sustainability in Numbers by Data Analytics Ramakrishna, Seeram Hu, Wayne Rajan, Jose HD28 Management. Industrial Management For a successful delivery of the United Nations Sustainable Development Goals (UNSDGs) and to track the progress of UNSDGs as well as identify the gaps and the areas requiring more attention, periodic analyses on the “research on sustainability” by various countries and their contribution to the topic are inevitable. This paper tracks the trends in sustainability research including the geographical distribution on sustainability research, their level of multi-disciplinarity and the cross-border collaboration, their distribution of funding with respect to the UNSDGs, and the lifecycle analyses. Cumulative publications and patents on sustainability could be fitted to an exponential function, thereby highlighting the importance of the research on sustainability in the recent past. Besides, this analytics quantifies cross-border collaborations and knowledge integration to solve critical issues as well as traditional and emerging sources to undertake sustainability research. As an important aspect of resource sustainability and circular economy, trends in publication and funding on lifecycle assessment have also been investigated. The analytics present here identify that major sustainability research volume is from the social sciences as well as business and economics sectors, whereas contributions from the engineering disciplines to develop technologies for sustainability practices are relatively lower. Similarly, funding distribution is also not evenly distributed under various SDGs; the larger share of funding has been on energy security and climate change research. Thus, this study identifies many gaps to be filled for the UNSDGs to be successful. Springer Nature 2023 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40762/1/Sustainability%20in%20Numbers%20by%20Data%20Analytics.pdf Ramakrishna, Seeram and Hu, Wayne and Rajan, Jose (2023) Sustainability in Numbers by Data Analytics. Circular Economy and Sustainability, 3 (2). pp. 643-655. ISSN 2730-597X. (Published) https://doi.org/10.1007/s43615-022-00201-w 10.1007/s43615-022-00201-w
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Ramakrishna, Seeram
Hu, Wayne
Rajan, Jose
Sustainability in Numbers by Data Analytics
description For a successful delivery of the United Nations Sustainable Development Goals (UNSDGs) and to track the progress of UNSDGs as well as identify the gaps and the areas requiring more attention, periodic analyses on the “research on sustainability” by various countries and their contribution to the topic are inevitable. This paper tracks the trends in sustainability research including the geographical distribution on sustainability research, their level of multi-disciplinarity and the cross-border collaboration, their distribution of funding with respect to the UNSDGs, and the lifecycle analyses. Cumulative publications and patents on sustainability could be fitted to an exponential function, thereby highlighting the importance of the research on sustainability in the recent past. Besides, this analytics quantifies cross-border collaborations and knowledge integration to solve critical issues as well as traditional and emerging sources to undertake sustainability research. As an important aspect of resource sustainability and circular economy, trends in publication and funding on lifecycle assessment have also been investigated. The analytics present here identify that major sustainability research volume is from the social sciences as well as business and economics sectors, whereas contributions from the engineering disciplines to develop technologies for sustainability practices are relatively lower. Similarly, funding distribution is also not evenly distributed under various SDGs; the larger share of funding has been on energy security and climate change research. Thus, this study identifies many gaps to be filled for the UNSDGs to be successful.
format Article
author Ramakrishna, Seeram
Hu, Wayne
Rajan, Jose
author_facet Ramakrishna, Seeram
Hu, Wayne
Rajan, Jose
author_sort Ramakrishna, Seeram
title Sustainability in Numbers by Data Analytics
title_short Sustainability in Numbers by Data Analytics
title_full Sustainability in Numbers by Data Analytics
title_fullStr Sustainability in Numbers by Data Analytics
title_full_unstemmed Sustainability in Numbers by Data Analytics
title_sort sustainability in numbers by data analytics
publisher Springer Nature
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/40762/1/Sustainability%20in%20Numbers%20by%20Data%20Analytics.pdf
http://umpir.ump.edu.my/id/eprint/40762/
https://doi.org/10.1007/s43615-022-00201-w
_version_ 1822924207395176448
score 13.235362

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