Automated Author ProfileMinjuan, Zhao
Minjuan, Zhao
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: 0.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
We analyzed the relationship between the conservation behavior of farmers and their environmental attitude and knowledge, whilst controlling for exogenous socio-economic factors. We employed the structural equation model with cross-sectional data from 442 farmers from the Guanzhong Plain of China. Results showed that local farmers generally possessed a positive environmental attitude and undertook considerable conservation action. Conservation behavior was directly affected by environmental attitude and indirectly by environmental knowledge (via attitude). Social networks, farm size, land rights, age and incentives were significant exogenous explanatory variables. Thus, understanding the importance of socio-behavioral characteristics, including the environmental attitude and knowledge of farmers, is important for the development of farmland conservation policies. Specifically, farmers in this area were found to significantly depend on each other for information on farmland conservation practices. Thus, role model farmer discussions, dissemination of environmentally friendly techniques via social networks and the rewarding of environmentally friendly behavior among farmers should be used to encourage ongoing restoration endeavors, and thereby help mitigate environmental degradation.
Authors
- Fanus Asefaw Aregay ;
- Minjuan, Zhao ;
- Tao, Xu
We analyzed the relationship between the conservation behavior of farmers and their environmental attitude and knowledge, whilst controlling for exogenous socio-economic factors. We employed the structural equation model with cross-sectional data from 442 farmers from the Guanzhong Plain of China. Results showed that local farmers generally possessed a positive environmental attitude and undertook considerable conservation action. Conservation behavior was directly affected by environmental attitude and indirectly by environmental knowledge (via attitude). Social networks, farm size, land rights, age and incentives were significant exogenous explanatory variables. Thus, understanding the importance of socio-behavioral characteristics, including the environmental attitude and knowledge of farmers, is important for the development of farmland conservation policies. Specifically, farmers in this area were found to significantly depend on each other for information on farmland conservation practices. Thus, role model farmer discussions, dissemination of environmentally friendly techniques via social networks and the rewarding of environmentally friendly behavior among farmers should be used to encourage ongoing restoration endeavors, and thereby help mitigate environmental degradation.
Authors
- Fanus Asefaw Aregay ;
- Minjuan, Zhao ;
- Tao, Xu