Bibliometric and Text Mining Analysis of SDGs Governance Research

نوع المستند : المقالة الأصلية


Associate Professor- Planning Techniques Center – Institute of National Planning.


This paper presents a comprehensive analysis of the research on governance for the Sustainable Development Goals (SDGs) using bibliometric and text mining techniques. The study collected 6,341 articles from the Web of Science Core Collection database from January 2016 to December 2022. Bibliometric analysis revealed an increasing trend in publications related to SDGs governance, with a peak of 1,410 articles in 2022. The analysis also identified the top contributing countries, institutions, subject categories, and sources in the field. Text mining analysis employed topic modeling, specifically latent Dirichlet allocation (LDA), to identify key themes and topics within the collected articles. The findings highlighted the importance of engaging diverse stakeholders, achieving the SDGs, addressing environmental challenges, identifying research gaps, utilizing qualitative analysis methods, and exploring the relationship between governance and sustainability. The analysis also emphasized the significance of gender equality, corporate social responsibility, decision support systems, education policies, water resource management, and green innovation for sustainable development. The results provide valuable insights into the research landscape and hotspots in SDGs governance, facilitating evidence-based decision-making and future research directions.

الكلمات الرئيسية

  • References:

    • Adetoro, A. A., M. Ngidi, Y. S. Nyam and I. R. Orimoloye (2021). "Temporal evaluation of global trends in water footprint, water sustainability and water productivity research." Scientific African 12: e00732.
    • Armitage, C. S., M. Lorenz and S. Mikki (2020). "Mapping scholarly publications related to the Sustainable Development Goals: Do independent bibliometric approaches get the same results?" Quantitative Science Studies 1(3): 1092-1108.
    • Bautista-Puig, N., A. M. Aleixo, S. Leal, U. Azeiteiro and R. Costas (2021). "Unveiling the research landscape of sustainable development goals and their inclusion in higher education institutions and research centers: major trends in 2000–2017." Frontiers in Sustainability 2: 12.
    • Churchill, R. and L. Singh (2022). "The evolution of topic modeling." ACM Computing Surveys 54(10s): 1-35.
    • Diaz-Lopez, C., C. Martin-Blanco, J. J. De la Torre Bayo, B. Rubio-Rivera and M. Zamorano (2021). "Analyzing the scientific evolution of the sustainable development goals." Applied Sciences 11(18): 8286.
    • Elder, M., M. Bengtsson and L. Akenji (2016). "An optimistic analysis of the means of implementation for sustainable development goals: Thinking about goals as means." Sustainability 8(9): 962.
    • Glass, L.-M. and J. Newig (2019). "Governance for achieving the Sustainable Development Goals: How important are participation, policy coherence, reflexivity, adaptation and democratic institutions?" Earth System Governance 2: 100031.
    • Hassan, S.-U., P. Haddawy and J. Zhu (2014). "A bibliometric study of the world’s research activity in sustainable development and its sub-areas using scientific literature." Scientometrics 99: 549-579.
    • Hassani, H., C. Beneki, S. Unger, M. T. Mazinani and M. R. Yeganegi (2020). "Text mining in big data analytics." Big Data and Cognitive Computing 4(1): 1.
    • Hwang, H., S. An, E. Lee, S. Han and C.-h. Lee (2021). "Cross-societal analysis of climate change awareness and its relation to SDG 13: A knowledge synthesis from text mining." Sustainability 13(10): 5596.
    • Kanie, N. and F. Biermann (2017). Governing through goals: Sustainable development goals as governance innovation, Mit Press.
    • Körfgen, A., K. Förster, I. Glatz, S. Maier, B. Becsi, A. Meyer, H. Kromp-Kolb and J. Stötter (2018). "It’sa hit! Mapping Austrian research contributions to the sustainable development goals." Sustainability 10(9): 3295.
    • Laureate, C. D. P., W. Buntine and H. Linger (2023). "A systematic review of the use of topic models for short text social media analysis." Artificial Intelligence Review: 1-33.
    • Mesquita, R. F. d., B. Klein, A. Xavier and F. R. N. Matos (2017). "Mining and the sustainable development goals: a systematic literature review."
    • Payumo, J., G. He, A. C. Manjunatha, D. Higgins and S. Calvert (2021). "Mapping collaborations and partnerships in SDG research." Frontiers in Research Metrics and Analytics 5: 612442.
    • Roy, A., A. Basu, Y. Su, Y. Li and X. Dong (2022). "Understanding Recent Trends in Global Sustainable Development Goal 6 Research: Scientometric, Text Mining and an Improved Framework for Future Research." Sustainability 14(4): 2208.
    • Salvia, A. L., W. Leal Filho, L. L. Brandli and J. S. Griebeler (2019). "Assessing research trends related to Sustainable Development Goals: Local and global issues." Journal of Cleaner Production 208: 841-849.
    • Shen, C., M. Wei and Y. Sheng (2021). "A bibliometric analysis of food safety governance research from 1999 to 2019." Food Science & Nutrition 9(4): 2316-2334.
    • Silge, J. and D. Robinson (2017). Text mining with R: A tidy approach, " O'Reilly Media, Inc.".
    • Takizawa, P. A. (2023). "Using a topic model to map and analyze a large curriculum." Plos one 18(4): e0284513.
    • United-Nations (2015). "Transforming our world: the 2030 Agenda for Sustainable Development." United Nations: New York, NY, USA.
    • Vayansky, I. and S. A. Kumar (2020). "A review of topic modeling methods." Information Systems 94: 101582.
    • Zhang, Y., K. Huang, Y. Yu and B. Yang (2017). "Mapping of water footprint research: A bibliometric analysis during 2006–2015." Journal of Cleaner Production 149: 70-79.
    • Zhu, J. and W. Hua (2017). "Visualizing the knowledge domain of sustainable development research between 1987 and 2015: A bibliometric analysis." Scientometrics 110(2): 893-914.