Bibliometrics and Content Analysis Dataset on Global Climate Action
Description
This dataset comprises bibliometric and content analysis results from 4,901 scholarly sources published between 2023 and 2024 that investigate global action on climate change. Global actions are the policies, strategies, and scientific solutions used by governments and organizations to mitigate carbon emissions as well as adapt to climate change. The bibliometric analysis focuses on the quantitative aspects of the sources, such as publication trends, citation patterns, author affiliations, institutional contributions, geographic distributions, and journal impact. It provides insights into the academic network surrounding the topic, identifying key authors, institutions, and countries that are influential in research on the Global North-South Divide. Additionally, a content analysis was conducted, which systematically examines the research themes of the scholarly works. Prevalent research themes, including equity in climate policy, historical responsibility for emissions, international climate negotiations, and the role of developing countries in global climate governance show up in the analysis outputs. This analysis also highlights how climate action is framed in both the Global North and South, revealing differences in perspectives on climate justice, adaptation, mitigation, and financial assistance, and even the continued relevance of these terms. The dataset facilitates a nuanced understanding of the dynamics of climate action from an academic perspective, emphasizing geographic disparities in both research output and policy discourse. It serves as a valuable resource for scholars, policymakers, and activists who are interested in addressing the challenges posed by global inequalities in climate change mitigation and adaptation efforts.
Files
Steps to reproduce
Included in the data folder is a PDF document that outlines the methodologies (bibliometrics and content analysis) in greater detail. To conduct a bibliometric analysis, access the Web of Science (WoS) database through institutional credentials and perform a search using specific the keyword: "global climate action." Then refine the search results by setting parameters, including publication years and document types (e.g., articles and reviews). After filtering the relevant articles, export the metadata including titles, authors, journals, keywords, abstracts, and citations into an Excel file. The next step involved data preparation. In this regard, clean the dataset by removing duplicate entries. Correct any formatting errors, and standardize author names and institutional affiliations, ensuring consistency. For the bibliometric analysis, focus on citation analysis to identify the most cited articles, which helped in pinpointing influential research in the field. NVivo 14 and WoS visualizer was used to visualize key authors distribution. Also, analyze publication trends over time by identifying significant peaks or declines in research output. Geographic distribution can be assessed by mapping author affiliations to understand the global focus of the research. For content analysis, import the articles into NVivo 14, focusing on metadata like titles, abstracts, and keywords. Create nodes to represent key themes such as "climate finance”, “growth”, and “development." These nodes allow for coding relevant sections of the articles and identify recurring themes related to climate action, particularly from the perspectives of the Global North and South. Using NVivo, perform manual and automated coding of the abstracts or articles, categorizing sections that discuss specific themes.