Automated Author ProfileNathália Francelina Santos Andrade
Nathália Francelina Santos Andrade
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Abstract: This paper aims to classify the municipalities of MATOPIBA based on a set of socioeconomic variables, mainly agricultural characteristics, as well as to decompose the growth of the sectorial GVA in the period 2010-2015, in order to identify groups of with competitive advantages and specialization. It was also used cluster and shift-share analysis based on information from IBGE, RAIS and UNDP. More specifically, the shift-share will be realized based on the groups formed by the cluster analysis, which allows a better integration of the methods. The main results show the formation of five groups, being only one of them considered incipient from the point of view of the agriculture dynamism. Shift-share results indicate that this group considered incipient was the only one to present negative VLT and did not present competitive advantage nor to be specialized in Agriculture.
Authors
- Luiz Carlos De Santana Ribeiro ;
- Lôbo, Ariana Souza ;
- Lizandra Duarte Da Silva ;
- Nathália Francelina Santos Andrade
Abstract: This paper aims to classify the municipalities of MATOPIBA based on a set of socioeconomic variables, mainly agricultural characteristics, as well as to decompose the growth of the sectorial GVA in the period 2010-2015, in order to identify groups of with competitive advantages and specialization. It was also used cluster and shift-share analysis based on information from IBGE, RAIS and UNDP. More specifically, the shift-share will be realized based on the groups formed by the cluster analysis, which allows a better integration of the methods. The main results show the formation of five groups, being only one of them considered incipient from the point of view of the agriculture dynamism. Shift-share results indicate that this group considered incipient was the only one to present negative VLT and did not present competitive advantage nor to be specialized in Agriculture.
Authors
- Luiz Carlos De Santana Ribeiro ;
- Lôbo, Ariana Souza ;
- Lizandra Duarte Da Silva ;
- Nathália Francelina Santos Andrade