Automated Author ProfileRamírez-López, Artemio
Ramírez-López, Artemio
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 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
ABSTRACT The objective of this study was to examine the structure and competitiveness of the global sheep meat market using econometric indices (Balassa's revealed comparative advantage, relative position market [RPM], relative export advantage [RXA], imported specialization index [RMA], relative trade advantage [RTA], and net export index [NEI]), as well as sheep meat production, structure, consumption, and trade volume for 151 countries with sustained participation in the global trade market for sheep meat from 2003 to 2013. A hierarchical cluster analysis was used to classify countries. We observed that structure, production, and imports of sheep meat were unconcentrated, e.g., there is no country dominating for those indices; in contrast, the export market was highly concentrated with a duopolistic structure. For trade competitiveness, New Zealand, the Republic of Macedonia, and Sudan were competitive and specialized, while New Zealand and Australia were dominant in the international trade market. The global sheep meat market has become more concentrated, as it has developed as a specialized market. Therefore, there is a need for a holistic vision and understanding of the global sheep meat market so that its impact on farmers can be foreseen.
Authors
- Ramírez-López, Artemio ;
- Figueroa-Sandoval, Benjamín ;
- Figueroa-Rodríguez, Katia A. ;
- Ramírez-Valverde, Benito
ABSTRACT The objective of this study was to examine the structure and competitiveness of the global sheep meat market using econometric indices (Balassa's revealed comparative advantage, relative position market [RPM], relative export advantage [RXA], imported specialization index [RMA], relative trade advantage [RTA], and net export index [NEI]), as well as sheep meat production, structure, consumption, and trade volume for 151 countries with sustained participation in the global trade market for sheep meat from 2003 to 2013. A hierarchical cluster analysis was used to classify countries. We observed that structure, production, and imports of sheep meat were unconcentrated, e.g., there is no country dominating for those indices; in contrast, the export market was highly concentrated with a duopolistic structure. For trade competitiveness, New Zealand, the Republic of Macedonia, and Sudan were competitive and specialized, while New Zealand and Australia were dominant in the international trade market. The global sheep meat market has become more concentrated, as it has developed as a specialized market. Therefore, there is a need for a holistic vision and understanding of the global sheep meat market so that its impact on farmers can be foreseen.
Authors
- Ramírez-López, Artemio ;
- Figueroa-Sandoval, Benjamín ;
- Figueroa-Rodríguez, Katia A. ;
- Ramírez-Valverde, Benito