Country Matrixes for QCA Analysis
2019
- 486Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage486
- Views313
- Downloads173
Dataset Description
Assessment of key enabling factors for smallholder commercial tree growing in Indoensia (Java and Kalimantan & Sumatra), Tanzania, Uganda and Vietnam between 1990-2015. Factors cover remote conditions (Land and forest tenure TEN; Wood demand and supply balance (demographic factors, industry and trade) DEMSUP; Land use pressures and competition with agriculture AGR; Macroeconomic environment (GDP/GNI per capita, economic growth and stability); and political stability MACRO) and proximate conditions (Wood markets and pricing MAR; Capacity and knowledge in tree growing KNOW; Direct incentives (goods and materials; grants; tax reliefs, concessions; differential fees etc. DIRINC ; and Indirect incentives (advisory services and trainings, stronger tenure rights on land etc. INDIRINC). The data has been collected through a desk review and it analyzed extensive amount of relevant previous research and existing documentation from all case-study countries to answer the questions related to fa...
Bibliographic Details
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