Regulatory Quality - Governance estimate in China
China: Regulatory Quality - Governance estimate was -0.0713 approx. -2.5 to +2.5 in 2024. ◆ Volatile
Regulatory Quality - Governance estimate in China, 1996–2024
Source: The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG). Measured in approx. -2.5 to +2.5.
Analysis
In 2024, regulatory quality - governance estimate in China stood at -0.0713 approx. -2.5 to +2.5.
Compared with earlier readings it is up 12.9% on the previous year and up 57.8% over ten years.
Over the whole period, regulatory quality - governance estimate in China peaked at -0.0247 approx. -2.5 to +2.5 in 2021 and was at its lowest, -0.6181 approx. -2.5 to +2.5, in 2002.
China ranks 99th of 205 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Regulatory Quality - Governance estimate in China, year by year
| Year | approx. -2.5 to +2.5 | Change |
|---|---|---|
| 1996 | -0.331 approx. -2.5 to +2.5 | — |
| 1998 | -0.3921 approx. -2.5 to +2.5 | +18.4% |
| 2000 | -0.2763 approx. -2.5 to +2.5 | -29.5% |
| 2002 | -0.6181 approx. -2.5 to +2.5 | +123.7% |
| 2003 | -0.5719 approx. -2.5 to +2.5 | -7.5% |
| 2004 | -0.32 approx. -2.5 to +2.5 | -44.0% |
| 2005 | -0.2756 approx. -2.5 to +2.5 | -13.9% |
| 2006 | -0.1592 approx. -2.5 to +2.5 | -42.2% |
| 2007 | -0.1438 approx. -2.5 to +2.5 | -9.7% |
| 2008 | -0.0728 approx. -2.5 to +2.5 | -49.4% |
| 2009 | -0.1393 approx. -2.5 to +2.5 | +91.4% |
| 2010 | -0.1276 approx. -2.5 to +2.5 | -8.4% |
| 2011 | -0.0992 approx. -2.5 to +2.5 | -22.3% |
| 2012 | -0.2489 approx. -2.5 to +2.5 | +151.0% |
| 2013 | -0.2626 approx. -2.5 to +2.5 | +5.5% |
| 2014 | -0.1691 approx. -2.5 to +2.5 | -35.6% |
| 2015 | -0.179 approx. -2.5 to +2.5 | +5.8% |
| 2016 | -0.1479 approx. -2.5 to +2.5 | -17.3% |
| 2017 | -0.0708 approx. -2.5 to +2.5 | -52.1% |
| 2018 | -0.0906 approx. -2.5 to +2.5 | +27.8% |
| 2019 | -0.0619 approx. -2.5 to +2.5 | -31.6% |
| 2020 | -0.0666 approx. -2.5 to +2.5 | +7.6% |
| 2021 | -0.0247 approx. -2.5 to +2.5 | -62.9% |
| 2022 | -0.0908 approx. -2.5 to +2.5 | +267.8% |
| 2023 | -0.0819 approx. -2.5 to +2.5 | -9.8% |
| 2024 | -0.0713 approx. -2.5 to +2.5 | -12.9% |
China compared with similar countries
- China's -0.0713 approx. -2.5 to +2.5 is above the median for upper middle income countries, which is -0.1017 approx. -2.5 to +2.5, 70% of the median. (59 countries reporting)
- China's -0.0713 approx. -2.5 to +2.5 is below the median for East Asia & Pacific, which is -0.071 approx. -2.5 to +2.5, 1.0× the median. (34 countries reporting)
Biggest year-on-year movements
Years where Regulatory Quality - Governance estimate in China changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2022 | -267.8% | -0.0247 approx. -2.5 to +2.5 | -0.0908 approx. -2.5 to +2.5 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -0.3616 approx. -2.5 to +2.5 | -0.3921 approx. -2.5 to +2.5 | -0.331 approx. -2.5 to +2.5 | 2 |
| 2000s | -0.2863 approx. -2.5 to +2.5 | -0.6181 approx. -2.5 to +2.5 | -0.0728 approx. -2.5 to +2.5 | 9 |
| 2010s | -0.1458 approx. -2.5 to +2.5 | -0.2626 approx. -2.5 to +2.5 | -0.0619 approx. -2.5 to +2.5 | 10 |
| 2020s | -0.0671 approx. -2.5 to +2.5 | -0.0908 approx. -2.5 to +2.5 | -0.0247 approx. -2.5 to +2.5 | 5 |
Countries ranked near China
More reference data data for China
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 49.4 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 75.5 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 303.29 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 18.8 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 303.29 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 165.62 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 206.2 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 350.74 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1,480 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 102.37 (2050)
Frequently asked questions
- What is regulatory quality - governance estimate in China?
- Regulatory quality - governance estimate in China was -0.0713 approx. -2.5 to +2.5 in 2024, according to The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG).
- What is the highest regulatory quality - governance estimate recorded in China?
- The highest recorded value was -0.0247 approx. -2.5 to +2.5 in 2021.
- What is the lowest regulatory quality - governance estimate recorded in China?
- The lowest recorded value was -0.6181 approx. -2.5 to +2.5 in 2002.
- How does China rank for regulatory quality - governance estimate?
- China ranks 99th out of 205 countries with data for 2024.
- Is regulatory quality - governance estimate rising or falling in China?
- Over the last ten years it is up 57.8%. The long-run trend across the full record is volatile.
- Where does this China data come from?
- The figures come from The Worldwide Governance Indicators: Revised Methodology for Measuring Governance Using Perception Data., World Bank Group (WBG), published as part of Regulatory Quality - Governance estimate (approx. -2.5 to +2.5). Statizoid updates them automatically from the source API.
Download this data
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About this data
Regulatory Quality (RQ) captures perceptions of the government’s ability to design and implement policies and regulations that promote private sector development. Governance estimate from the aggregation model, in units of a standard normal distribution, i.e. ranging from approximately -2.5 to 2.5. Larger values correspond to better governance. The (country-series-time) metadata include the (a) number of sources, and (b) standard error. The number of sources indicates the number of underlying data sources on which the governance estimate is based. The standard error indicates the precision of the governance estimate. Larger values indicate less precise estimates. A 90% confidence interval for the governance estimate is given by the estimate +/- 1.64 times the standard error.