7 datasets found
  1. Value of M2 broad money supply in China 2011-2023

    • statista.com
    Updated Feb 13, 2024
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    Statista (2024). Value of M2 broad money supply in China 2011-2023 [Dataset]. https://www.statista.com/statistics/458148/china-m2-broad-money-supply/
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    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    At the end of 2023, the M2 broad money supply in China amounted to over 292 trillion yuan. Broad money supply had been growing consistently over the years. However, the overall growth rate of all money supply had been decreasing.

    Money is not money?

    In economic theory, money supply describes the volume of currency that exists in a country. Even though it might sound counterintuitive, there are different types of money. For example, cash, saving deposits, or other liquid assets are then divided into tiers from M1 to M3. Thereby, M2 money or broad money comprised of cash and assets that can easily be converted into cash. The main application of M2 money is making payments and economic transactions. For mainstream economists, the volume of M1 and M2 money can indicate inflation.

    The mysterious case of money expansion in China

    The post-pandemic economic recovery has not materialized as the growth in the M2 money supply would have indicated in China. As a consequence of global anti-COVID-19 measures, China’s economic growth fell far below the country’s development targets. After another underperforming year in 2022, the M2 money supply grew by almost 13 percent in the first quarter of 2023, but the GDP increased only by 4.5 percent, which indicated that the money does not reach the real economy. Therefore, the Chinese economy could be in a liquidity trap or a balance sheet recession.

  2. Overview of effect size estimates (odds ratio) for model 1 (M1, original...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Mariela E. Jaffé; Rainer Greifeneder; Marc-André Reinhard (2023). Overview of effect size estimates (odds ratio) for model 1 (M1, original model) and model 2 (M2, including age). [Dataset]. http://doi.org/10.1371/journal.pone.0224526.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mariela E. Jaffé; Rainer Greifeneder; Marc-André Reinhard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Overview of effect size estimates (odds ratio) for model 1 (M1, original model) and model 2 (M2, including age).

  3. f

    Bel(θi) and Pl(θi) for m1 and m2 in Example 2.

    • plos.figshare.com
    xls
    Updated Jun 12, 2023
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    Wen Jiang; Shiyu Wang; Xiang Liu; Hanqing Zheng; Boya Wei (2023). Bel(θi) and Pl(θi) for m1 and m2 in Example 2. [Dataset]. http://doi.org/10.1371/journal.pone.0177828.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Wen Jiang; Shiyu Wang; Xiang Liu; Hanqing Zheng; Boya Wei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Bel(θi) and Pl(θi) for m1 and m2 in Example 2.

  4. f

    MSE of 3-cycles N-of-1 trials (n = 1, 3, 5, 10, 20, 30).

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 10, 2023
    + more versions
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    Xinlin Chen; Pingyan Chen (2023). MSE of 3-cycles N-of-1 trials (n = 1, 3, 5, 10, 20, 30). [Dataset]. http://doi.org/10.1371/journal.pone.0087752.t004
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xinlin Chen; Pingyan Chen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    M1: Model 1; M2: Model 2; M3: Model 3; M4: Model 4. N/A: Meta-analysis was not available for n = 1 subject.

  5. f

    Bias (PE, %) of 3-cycles N-of-1 trials (n = 1, 3, 5, 10, 20, 30).

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Xinlin Chen; Pingyan Chen (2023). Bias (PE, %) of 3-cycles N-of-1 trials (n = 1, 3, 5, 10, 20, 30). [Dataset]. http://doi.org/10.1371/journal.pone.0087752.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Xinlin Chen; Pingyan Chen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    M1: Model 1; M2: Model 2; M3: Model 3; M4: Model 4. N/A: Meta-analysis was not available for n = 1 subject.

  6. Z

    Data from: ETIB-T: An aquilibrium theory of island biogeography for plant...

    • data.niaid.nih.gov
    • datadryad.org
    • +1more
    Updated Oct 19, 2022
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    Kreft, Holger (2022). Data from: ETIB-T: An aquilibrium theory of island biogeography for plant traits [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7222128
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    Dataset updated
    Oct 19, 2022
    Dataset provided by
    Westoby, Mark
    Abbott, Ian
    Weigelt, Patrick
    Andrew, Samuel C.
    Kreft, Holger
    Wright, Ian J.
    Schrader, Julian
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset holds information on community mean seed mass, plant height and leaf area of 156 species and their occurrences on 15 islands ranging in size from 164 m2 - 19 km2. The islands are located in Western Australia off Perth. Further, the dataset provides information on island coordinates, size, isolation and elevation. The islands were sampled four times within four decades. The data can be used to investigate spatial and temporal turnover dynamics on islands.

  7. f

    Appendix B. A table showing dominant plant species, by average percent cover...

    • wiley.figshare.com
    html
    Updated Jun 2, 2023
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    William M. Cook; Jin Yao; Bryan L. Foster; Robert D. Holt; L. Brian Patrick (2023). Appendix B. A table showing dominant plant species, by average percent cover per 1-m2 quadrat, for each of four intervals between 1984 and 2001. [Dataset]. http://doi.org/10.6084/m9.figshare.3524612.v1
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Wiley
    Authors
    William M. Cook; Jin Yao; Bryan L. Foster; Robert D. Holt; L. Brian Patrick
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    A table showing dominant plant species, by average percent cover per 1-m2 quadrat, for each of four intervals between 1984 and 2001.

  8. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). Value of M2 broad money supply in China 2011-2023 [Dataset]. https://www.statista.com/statistics/458148/china-m2-broad-money-supply/
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Value of M2 broad money supply in China 2011-2023

Explore at:
Dataset updated
Feb 13, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
China
Description

At the end of 2023, the M2 broad money supply in China amounted to over 292 trillion yuan. Broad money supply had been growing consistently over the years. However, the overall growth rate of all money supply had been decreasing.

Money is not money?

In economic theory, money supply describes the volume of currency that exists in a country. Even though it might sound counterintuitive, there are different types of money. For example, cash, saving deposits, or other liquid assets are then divided into tiers from M1 to M3. Thereby, M2 money or broad money comprised of cash and assets that can easily be converted into cash. The main application of M2 money is making payments and economic transactions. For mainstream economists, the volume of M1 and M2 money can indicate inflation.

The mysterious case of money expansion in China

The post-pandemic economic recovery has not materialized as the growth in the M2 money supply would have indicated in China. As a consequence of global anti-COVID-19 measures, China’s economic growth fell far below the country’s development targets. After another underperforming year in 2022, the M2 money supply grew by almost 13 percent in the first quarter of 2023, but the GDP increased only by 4.5 percent, which indicated that the money does not reach the real economy. Therefore, the Chinese economy could be in a liquidity trap or a balance sheet recession.

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