Xiaojie Wen- PostDoc Position at University of Bonn
Xiaojie Wen
- PostDoc Position at University of Bonn
About
9
Publications
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Introduction
I am a quantitative researcher with training and research experience in environmental policy evaluation, applied economics, efficiency and productivity analysis, and spatial analysis. The application areas include, but are not limited to, land use change, waste treatment, vegetation quality, carbon sink, soil conservation, and other sustainablility concerns.
Current institution
Additional affiliations
January 2020 - May 2024
Publications
Publications (9)
Vulnerability to agrometeorological disasters threatens agricultural production and food security, which calls for urgent risk mitigation measures. Previous studies have widely focused on constructing composite indices of agricultural vulnerability and projecting agricultural losses under changing climate. Only a few authors have delved into the pa...
Recent years have witnessed an increased social, political, and academic interest in the influencing mechanism of pro-environmental waste disposal behavior. Particularly, it is widely acknowledged that social networks, usually represented by psychological closeness/distances in literature, can influence others' behavior via sharing information and...
Since 1999, the Sloping Land Conversion Program (SLCP) in China, regarded as one of the largest payments for ecosystem services (PES) programs worldwide, was carried out for the alleviation of soil erosion. The high economic cost of the SLCP has attracted considerable attention to its ecological and economic effects during the past decades. However...
In 2019, the Chinese government proposed a national strategy to promote high-quality, sustainable development in the Yellow River Basin, an ecologically fragile and economically less-developed region in China. Regarding this national strategy, the unresolved question is how to zone the research area scientifically and improve the performance of loc...
Questions
Question (1)
The traditional construction of a composite indicator is generally based on Factor analysis or Principle Component Analysis. These two methods require that individual indicators are supposed to be correlated to each other to some extent (e.g., factors in the correlation matrix are larger than 0.5). This precondition could guarantee that these individual indicators describe a similar phenomenon.
However, in my case, there are 5 individual indicators representing waste treatment behavior from different perspectives (e.g., sewage treatment methods, domestic waste treatment, agricultural production waste treatment....). These indicators are less correlated to each other, which cannot satisfy the requirement for the application of FA or PCA(cannot pass KMO test). Based on this, what should I do if I want to use one composite indicator to capture treatment behavior?
By the way, these 5 individual indicators are valued by 1,2,3, and 4. The larger the number, the more environmentally friendly the treatment method is. Do you think it is feasible if I calculate the sum of these 5 indicators directly?
