Automated Author ProfileFernandes, Gustavo Andrey de Almeida Lopes
Fundação Getúlio Vargas. School of Business Administration. São Paulo/SP, Brazil.
Fernandes, Gustavo Andrey de Almeida Lopes
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This study offers a comprehensive analysis of how governance capacities in developing countries respond to the challenges that COVID-19 posed. We established a theoretical framework to delve into the multifaceted nature of governance capacities, exploring two distinct aspects of governance: the Weberian one, which focuses on material and organizational capacities, and the Tocquevillian one, which focuses on coordination and associational capacities. We examined these four governance dimensions to illustrate how these distinct skills influence the effectiveness of governance. Our analysis quantifies the impact of the COVID-19 pandemic using such metrics as confirmed cases and deaths. We employ standard and dynamic panel data methodologies to mitigate potential omitted variable bias. Our research findings indicate that countries with robust governance capacities, as assessed by the Bertelsmann Stiftung's Transformation Governance Index, are better equipped to respond effectively to pandemic crises. By applying several models and rigorous robustness tests, we demonstrate efficient resource utilization, the ability to guide and prioritize decision-making within the government, and commitment to cooperation and coordination with other nations and international organizations are the primary drivers of improved outcomes. Our findings remain robust even when controlling for relevant variables and employing estimation techniques that account for potential biases arising from unobservable confounding factors.
Authors
- Fernandes, Gustavo Andrey de Almeida Lopes ;
- Fernandes, Ivan Filipe