An original dataset supports a quantitative analysis of visibility projects and de-privatization in China's urban bus sector. The research uses process-tracing case studies and in-depth interviews to examine how distorted public projects affect private companies and state-owned enterprises. Specific row and column counts are not provided in the input.
Use Cases
- Analyze the relationship between visibility projects and sector de-privatization using the original quantitative dataset.
- Conduct process-tracing case studies on government officials' actions within the urban bus sector.
- Perform comparative analysis between private companies and state-owned enterprises using in-depth interview data.
- Investigate the financial contributions and operational changes businesses face due to visibility projects.
Strengths
- Dataset is original and created specifically for this research on a novel political concept.
- Analysis is multi-method, combining quantitative data, process-tracing, and in-depth interviews.
- Focus is on a specific, understudied sector (China's urban bus sector) providing targeted insights.
Limitations
- Dataset size, structure, and specific variables (rows, columns) are unknown, limiting reproducibility.
- The case study focuses solely on China's urban bus sector, which may limit generalizability to other sectors or countries.
- Potential for bias exists as the data may reflect the researcher's theoretical framework on visibility projects.
Provenance
- Source
- Comparative Political Studies Dataverse
- Collection Method
- Original dataset collection combined with process-tracing case study and in-depth interviews.
- Time Range
- null
- Freshness
- null
- Geography
- China, specifically the urban bus sector.