## Dataset: boxfigure221 — China: Profitability of Credit Allocation, 1997–2016 (and by Ownership/Sector)

## Source details

**Canonical URL:** [Dataset: boxfigure221 — China: Profitability of Credit Allocation, 1997–2016 (and by Ownership/Sector)](https://www.imf.org/-/media/files/publications/gfsr/2018/april/chapter-2/csv/boxfigure221.csv)

## Other formats

- [Markdown version](/-/media/files/publications/gfsr/2018/april/chapter-2/csv/boxfigure221.csv.md)
- [Structured JSON version](/-/media/files/publications/gfsr/2018/april/chapter-2/csv/boxfigure221.csv.json)

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### Overview
- Dataset contains two linked figures:
  - Figure 2.2.1. China: Profitability of Credit Allocation, 1997–2016 (Index)
  - Figure 2.2.2. China: Profitability of Credit Allocation, by Ownership and Sector (Change in index points; periods 2004–16 and 2006–16)
- Worksheet labeled "csv" with 25 rows and 18 columns. Column headers include "Riskiness" and "Profitability" for the long time series and separate sections for ownership and sector breakdowns.

### Time series: Riskiness and Profitability (Figure 2.2.1)
- Indexed annual values provided for 1997–2002 in sample rows:
  - 1997: Riskiness = 0.068938494; Profitability = -0.19332929
  - 1998: Riskiness = 0.19772625; Profitability = -0.166583642
  - 1999: Riskiness = 0.115002871; Profitability = -0.46585682
  - 2000: Riskiness = -0.092795849; Profitability = -0.159934953
  - 2001: Riskiness = -0.181810856; Profitability = -0.122286737
  - 2002: Riskiness = -0.060439587; Profitability = -0.099691182

### Ownership breakdown: SOEs versus non-SOEs (Figure 2.2.2, 2004–16)
- Change-in-index points sample values for ownership comparison:
  - 2004: Non-SOE = -0.686671197; SOE = -0.265937209
  - 2005: Non-SOE = -0.923442125; SOE = -0.682992458
  - 2006: Non-SOE = -0.553562284; SOE = -0.870324612
  - 2007: Non-SOE = -0.088922165; SOE = -0.807475269

### Sector breakdown: By Sector, 2006–16 (labels and sample change values)
- Sector labels in the sample rows:
  - Industry
  - ICT
  - Technology Hardware & Equipment
  - Health Care, Pharmaceuticals & Biotech
  - Transportation
- "New drivers / Others / Traditional drivers" grouping with sample numeric markers and changes:
  - Marker "1" associated with ICT and change = -1.16094768
  - Marker "2" associated with Technology Hardware & Equipment and change = -0.392538726
  - Marker "3" associated with Health Care, Pharmaceuticals & Biotech and change = -0.187307045
  - Marker "4" associated with Transportation and change (blank for some rows) and one sample value = 0.077973396

### Data structure and notation notes
- Time series index values are given with high precision (up to 9 decimal places in sample rows).
- Ownership and sector panels are reported as "(Change in index points)" in the dataset.
- Blank cells are present in the sample rows for many columns and years outside the provided sample.

*Dataset: boxfigure221 (worksheet "csv") — China: Profitability of Credit Allocation, 1997–2016 and by Ownership/Sector, sample rows shown above.*

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_Source: https://www.imf.org/-/media/files/publications/gfsr/2018/april/chapter-2/csv/boxfigure221.csv_