Automated Author ProfileZeng, Ka
Zeng, Ka
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: 7.9 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This article examines the differentisal effects of specific provisions included in China’s bilateral investment treaties (BITs) in inducing foreign direct investment (FDI). Empirical analysis yields some evidence suggesting that while the signing of a BIT does not necessarily boost FDI, the entry into force of a BIT does exert a strong effect on investment flows. More importantly, we find substantial evidence that BITs with stronger investment protection provisions such as absolute and relative standards of treatment and dispute settlement procedures are more likely to induce greater FDI flows. These results suggest that the variation in the institutional design of bilateral investment treaties strongly influences FDI flows by shaping foreign investors’ expectations of their asset security and the overall stability of the host country investment environment.
Authors
- Zeng, Ka ;
- Lu, Yue