A BIBLIOMETRIC ANALYSIS OF RESEARCH TRENDS ON GENDER AND SUSTAINABILITY: FUTURE RESEARCH PERSPECTIVES

Authors : Başak Demiray, Dilara Ünüvar Ünlüoğlu

Pages : 545-560

Doi:10.53791/imgelem.1349185

View : 55 | Download : 81

Publication Date : 2023-12-31

Article Type : Research Paper

Abstract :Gender inequality, one of the obstacles to the development and prosperity of countries, is among the world problems that need urgent solutions. Increasing the power of women, who have the potential for social transformation and innovation, plays an essential role in ensuring a more equitable and sustainable development. Therefore, studies on the interaction and the dynamics that feed each other between sustainability and gender inequality are considered necessary for today\'s modern world. This study aims to conduct a bibliometric analysis of studies on the relationship between sustainability and gender inequality. The bibliometric analysis method, which includes statistical methods used to understand the citation relationships and publication trends of the studies, was used in the research. First, an extensive database search was conducted on the Web of Science (WoS) using the keywords \'women\'s equality\' and \'sustainability\' between 1998 and 2022, and 373 relevant papers were identified. The bibliographic information of the selected papers was then collected and recorded. This information includes authors, journals, year of publication, titles, and other bibliographic details. Then, the data obtained were evaluated by statistical analysis. The findings reveal that the scientific studies in the field gained momentum after 2015 and are predominantly in English. Moreover, regarding the field distribution of studies, it can be safely said that more publications are made in environmental areas, and Spain has the highest number of publications. Keywords: Sustainability, Gender, Sustainable Development Goals, Gender Equality, Bibliometric Analysis
Keywords : Sustainability, gender, Sustainable Development Goals, gender equality, bibliometric analysis