14 datasets found
  1. Great Recession: GDP growth for the E7 emerging economies 2007-2011

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: GDP growth for the E7 emerging economies 2007-2011 [Dataset]. https://www.statista.com/statistics/1346915/great-recession-e7-emerging-economies-gdp-growth/
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    The Global Financial Crisis (2007-2008), which began due to the collapse of the U.S. housing market, had a negative effect in many regions across the globe. The global recession which followed the crisis in 2008 and 2009 showed how interdependent and synchronized many of the world's economies had become, with the largest advanced economies showing very similar patterns of negative GDP growth during the crisis. Among the largest emerging economies (commonly referred to as the 'E7'), however, a different pattern emerged, with some countries avoiding a recession altogether. Some commentators have particularly pointed to 2008-2009 as the moment in which China emerged on the world stage as an economic superpower and a key driver of global economic growth. The Great Recession in the developing world While some countries, such as Russia, Mexico, and Turkey, experienced severe recessions due to their connections to the United States and Europe, others such as China, India, and Indonesia managed to record significant economic growth during the period. This can be partly explained by the decoupling from western financial systems which these countries undertook following the Asian financial crises of 1997, making many Asian nations more wary of opening their countries to 'hot money' from other countries. Other likely explanations of this trend are that these countries have large domestic economies which are not entirely reliant on the advanced economies, that their export sectors produce goods which are inelastic (meaning they are still bought during recessions), and that the Chinese economic stimulus worth almost 600 billion U.S. dollars in 2008/2009 increased growth in the region.

  2. Great Recession: global gross domestic product (GDP) growth from 2007 to...

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: global gross domestic product (GDP) growth from 2007 to 2011 [Dataset]. https://www.statista.com/statistics/1347029/great-recession-global-gdp-growth/
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    From the Summer of 2007 until the end of 2009 (at least), the world was gripped by a series of economic crises commonly known as the Global Financial Crisis (2007-2008) and the Great Recession (2008-2009). The financial crisis was triggered by the collapse of the U.S. housing market, which caused panic on Wall Street, the center of global finance in New York. Due to the outsized nature of the U.S. economy compared to other countries and particularly the centrality of U.S. finance for the world economy, the crisis spread quickly to other countries, affecting most regions across the globe. By 2009, global GDP growth was in negative territory, with international credit markets frozen, international trade contracting, and tens of millions of workers being made unemployed.

    Global similarities, global differences

    Since the 1980s, the world economy had entered a period of integration and globalization. This process particularly accelerated after the collapse of the Soviet Union ended the Cold War (1947-1991). This was the period of the 'Washington Consensus', whereby the U.S. and international institutions such as the World Bank and IMF promoted policies of economic liberalization across the globe. This increasing interdependence and openness to the global economy meant that when the crisis hit in 2007, many countries experienced the same issues. This is particularly evident in the synchronization of the recessions in the most advanced economies of the G7. Nevertheless, the aggregate global GDP number masks the important regional differences which occurred during the recession. While the more advanced economies of North America, Western Europe, and Japan were all hit hard, along with countries who are reliant on them for trade or finance, large emerging economies such as India and China bucked this trend. In particular, China's huge fiscal stimulus in 2008-2009 likely did much to prevent the global economy from sliding further into a depression. In 2009, while the United States' GDP sank to -2.6 percent, China's GDP, as reported by national authorities, was almost 10 percent.

  3. C

    China CN: Service Charges: 36 City Avg: Taxi: Common: Flag-fall Price

    • ceicdata.com
    Updated Oct 15, 2025
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    CEICdata.com (2025). China CN: Service Charges: 36 City Avg: Taxi: Common: Flag-fall Price [Dataset]. https://www.ceicdata.com/en/china/price-monitoring-center-ndrc-36-city-monthly-avg-service-charges/cn-service-charges-36-city-avg-taxi-common-flagfall-price
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    Dataset updated
    Oct 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Aug 1, 2023 - Jul 1, 2024
    Area covered
    China
    Variables measured
    Producer Prices
    Description

    China Service Charges: 36 City Avg: Taxi: Common: Flag-fall Price data was reported at 9.810 RMB/Times in Jul 2024. This stayed constant from the previous number of 9.810 RMB/Times for Jun 2024. China Service Charges: 36 City Avg: Taxi: Common: Flag-fall Price data is updated monthly, averaging 9.130 RMB/Times from Jan 2012 (Median) to Jul 2024, with 151 observations. The data reached an all-time high of 9.810 RMB/Times in Jul 2024 and a record low of 7.630 RMB/Times in Mar 2012. China Service Charges: 36 City Avg: Taxi: Common: Flag-fall Price data remains active status in CEIC and is reported by Price Monitoring Center, NDRC. The data is categorized under China Premium Database’s Price – Table CN.PA: Price Monitoring Center, NDRC: 36 City Monthly Avg: Service Charges.

  4. Average path length.

    • plos.figshare.com
    xlsx
    Updated Mar 26, 2025
    + more versions
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    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian (2025). Average path length. [Dataset]. http://doi.org/10.1371/journal.pone.0318269.s002
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    xlsxAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian
    License

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

    Description

    In recent years, China ‘s major cities set off a climax of subway construction, but also brought an endless stream of safety accidents. In order to analyze the impact of the evolution process of urban subway construction collapse disaster on residents ‘ life and social economy, by collecting typical cases of subway construction collapse disaster, combined with disaster chain and complex network theory, the network model of subway construction collapse disaster chain is constructed, and the key node events and key propagation paths are analyzed. Based on this, targeted chain-breaking disaster reduction measures are proposed. The results show: the collapse disaster chain of urban subway construction can be divided into early, middle and late stages of disaster evolution. Through the destruction of collapse, underground pipeline rupture, road damage, affecting the lives of residents and building damage and other key nodes or cut off the collapse →  underground pipeline rupture, road damage →  traffic paralysis, collapse →  building damage, construction technology is not standardized →  collapse, construction equipment failure →  collapse and other key effects are significant. The relevant research results can provide a knowledge map for effectively coping with the collapse disaster chain of urban subway construction, identify key nodes and propagation paths, and establish strategies for emergency response and chain-breaking disaster reduction.

  5. Uncertainty Is Not What It Used to Be: EPU and the Collapse of Classical...

    • zenodo.org
    bin, csv, png +1
    Updated Jun 28, 2025
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    Anon Anon; Anon Anon (2025). Uncertainty Is Not What It Used to Be: EPU and the Collapse of Classical Risk Logic [Dataset]. http://doi.org/10.5281/zenodo.15762303
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    png, csv, bin, text/x-pythonAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anon Anon; Anon Anon
    License

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

    Description

    Here is a concise and professional Zenodo dataset description based on your paper, suitable for use as the metadata summary:

    Title:
    Uncertainty Is Not What It Used to Be: EPU and the Collapse of Classical Risk Logic

    Description:
    This dataset accompanies the study "Regime-Contingent Uncertainty Pricing: Strategic Risk, Liquidity, and Political Shocks," which develops a theory of regime-dependent pricing of economic policy uncertainty (EPU) in U.S. equity markets. Using monthly data from 2009 to 2025, the analysis identifies nonlinear shifts in the EPU-return relationship during two major political-economic shocks: the COVID-19 pandemic and the 2025 U.S.–China Trade War. The study demonstrates that EPU effects on asset prices are not time-invariant but depend on macro-regime context, investor behavior, and liquidity conditions.

    The repository includes:

    • Monthly return data for SPDR S&P 500 ETF (SPY)

    • U.S. Economic Policy Uncertainty Index (EPU) data

    • Python scripts for data processing, OLS estimation, and Markov-switching modeling

    • Figures and tables illustrating regime dynamics

    • A complete README with replication instructions

    Key Contributions:

    • Demonstrates that financial market responses to EPU invert during structural crises (e.g., COVID-19) and revert during politically driven uncertainty (e.g., Trade War)

    • Advances dynamic capabilities and institutional theory by modeling uncertainty sensitivity as regime-contingent

    • Introduces the concept of "reactivated uncertainty sensitivity," emphasizing the return of classical risk pricing under renewed political stress

    Keywords:
    Economic Policy Uncertainty (EPU), regime switching, COVID-19, U.S.–China Trade War, Markov switching model, strategic foresight, uncertainty pricing, institutional theory

    License:
    CC BY 4.0 – Openly available for reuse and replication

  6. i

    Government Shutdown Delays Farmer Aid, Soybean Losses Mount - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). Government Shutdown Delays Farmer Aid, Soybean Losses Mount - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/government-shutdown-delays-trumps-farmer-aid-soybean-growers-cite-heavy-losses/
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    xls, docx, pdf, doc, xlsxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Oct 8, 2025
    Area covered
    United States
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    The government shutdown has delayed crucial financial aid for US soybean farmers, who are facing massive economic losses due to tariffs and collapsed Chinese markets, with proposed bailouts called insufficient.

  7. Dataset for Trade Policy Uncertainty and Stock Price Crash Risk in China:...

    • figshare.com
    bin
    Updated Dec 2, 2025
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    CHENGWEI LIU; Tajul Ariffin Masron; HAIYAN HUO (2025). Dataset for Trade Policy Uncertainty and Stock Price Crash Risk in China: The Moderating Role of Marketization and Digital Transformation [Dataset]. http://doi.org/10.6084/m9.figshare.30761945.v1
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    binAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    CHENGWEI LIU; Tajul Ariffin Masron; HAIYAN HUO
    License

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

    Area covered
    China
    Description

    This dataset contains the minimal anonymized data necessary to replicate the analyses reported in the study "Trade Policy Uncertainty and Stock Price Crash Risk in China: The Moderating Role of Marketization and Digital Transformation." The data include firm-level financial variables, stock price information, marketization indicators, digital transformation measures, control variables, and other variables used in the analyses for Chinese listed companies. All data are derived from publicly available sources and do not contain sensitive or personally identifiable information, ensuring compliance with legal and ethical standards. The dataset can be used to reproduce the results reported in the published article.

  8. f

    Weight assignment of edges in the complex network of urban subway...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Mar 26, 2025
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    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian (2025). Weight assignment of edges in the complex network of urban subway construction collapse disaster. [Dataset]. http://doi.org/10.1371/journal.pone.0318269.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian
    License

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

    Description

    Weight assignment of edges in the complex network of urban subway construction collapse disaster.

  9. Gross domestic product (GDP) of the United States 2030

    • statista.com
    + more versions
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    Statista, Gross domestic product (GDP) of the United States 2030 [Dataset]. https://www.statista.com/statistics/263591/gross-domestic-product-gdp-of-the-united-states/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The statistic shows the gross domestic product (GDP) of the United States from 1987 to 2024, with projections up until 2030. The gross domestic product of the United States in 2024 amounted to around 29.18 trillion U.S. dollars. The United States and the economy The United States’ economy is by far the largest in the world; a status which can be determined by several key factors, one being gross domestic product: A look at the GDP of the main industrialized and emerging countries shows a significant difference between US GDP and the GDP of China, the runner-up in the ranking, as well as the followers Japan, Germany and France. Interestingly, it is assumed that China will have surpassed the States in terms of GDP by 2030, but for now, the United States is among the leading countries in almost all other relevant rankings and statistics, trade and employment for example. See the U.S. GDP growth rate here. Just like in other countries, the American economy suffered a severe setback when the economic crisis occurred in 2008. The American economy entered a recession caused by the collapsing real estate market and increasing unemployment. Despite this, the standard of living is considered quite high; life expectancy in the United States has been continually increasing slightly over the past decade, the unemployment rate in the United States has been steadily recovering and decreasing since the crisis, and the Big Mac Index, which represents the global prices for a Big Mac, a popular indicator for the purchasing power of an economy, shows that the United States’ purchasing power in particular is only slightly lower than that of the euro area.

  10. Node numbers in the complex network of urban subway construction collapse...

    • plos.figshare.com
    xls
    Updated Mar 26, 2025
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    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian (2025). Node numbers in the complex network of urban subway construction collapse disaster. [Dataset]. http://doi.org/10.1371/journal.pone.0318269.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian
    License

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

    Description

    Node numbers in the complex network of urban subway construction collapse disaster.

  11. Edge vulnerability of complex network model of urban subway construction...

    • plos.figshare.com
    xls
    Updated Mar 26, 2025
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    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian (2025). Edge vulnerability of complex network model of urban subway construction collapse disaster. [Dataset]. http://doi.org/10.1371/journal.pone.0318269.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian
    License

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

    Description

    Edge vulnerability of complex network model of urban subway construction collapse disaster.

  12. Working-age population in China 1980-2050

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Working-age population in China 1980-2050 [Dataset]. https://www.statista.com/statistics/1219212/china-number-of-working-age-persons/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2023, about ***** million people in China were estimated by the UN to be at a working age between 15 and 64 years. After a steep increase in the second half of the 20th century, the size of the working-age population reached a turning point in 2015 and figures started to decrease thereafter. Changes in the working-age population China's demographic development is characterized by a rapid change from a high fertility rate to a low one. This has caused the development of an arc shaped graph of the working age population: quickly increasing numbers before 2010, a gradual turn with a minor second peak until around 2027, and a steep decline thereafter. The expected second maximum of the graph results from the abolishment of birth control measures after 2010, which proved less successful in increasing birth figures than expected. The same turn can be seen in the number of people eligible for work, with an accelerated downturn in the years of the coronavirus pandemic, where many people left the labor force. It is very likely that the size of the labor force will rebound slightly in the upcoming years, but the extent of the rebound, which parallels the second maximum of the working age population, might be limited. China's labor market China's labor market was once defined by its abundant and cheap labor force, but competition for talent has been getting increasingly tense in recent years. This development is very likely to further intensify and extend itself into the less skilled ranks of the labor market. As the number of people who fall within the retirement age group is increasing and adding to the burden on the economy, steps to keep labor participation high are necessary. Raising the retirement age and providing incentives to stay in the labor force, are measures being implemented by Chinese government. Strategies to increase labor productivity would be ideal to mitigate the pressure on the Chinese economy, however, realizing such strategies is challenging.

  13. f

    Data from: Comprehensive evaluation of node importance in complex networks.

    • figshare.com
    xls
    Updated Mar 26, 2025
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    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian (2025). Comprehensive evaluation of node importance in complex networks. [Dataset]. http://doi.org/10.1371/journal.pone.0318269.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Ying Zhang; Yingying Gu; Ningning Lian; Lei Peng; Yu Hao; Wei Wang; Rumeng Tian
    License

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

    Description

    Comprehensive evaluation of node importance in complex networks.

  14. GDP of the UK 1948-2024

    • statista.com
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    Statista, GDP of the UK 1948-2024 [Dataset]. https://www.statista.com/statistics/281744/gdp-of-the-united-kingdom/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The gross domestic product of the United Kingdom in 2024 was around 2.78 trillion British pounds, an increase when compared to the previous year, when UK GDP amounted to about 2.75 trillion pounds. The significant drop in GDP visible in 2020 was due to the COVID-19 pandemic, with the smaller declines in 2008 and 2009 because of the global financial crisis of the late 2000s. Low growth problem in the UK Despite growing by 0.9 percent in 2024, and 0.4 percent in 2023 the UK economy is not that much larger than it was before the COVID-19 pandemic. Since recovering from a huge fall in GDP in the second quarter of 2020, the UK economy has alternated between periods of contraction and low growth, with the UK even in a recession at the end of 2023. While economic growth picked up somewhat in 2024, GDP per capita is lower than it was in 2022, following two years of negative growth. UK's global share of GDP falling As of 2024, the UK had the sixth-largest economy in the world, behind the United States, China, Japan, Germany, and India. Among European nations, this meant that the UK currently has the second-largest economy in Europe, although the economy of France, Europe's third-largest economy, is of a similar size. The UK's global economic ranking will likely fall in the coming years, however, with the UK's share of global GDP expected to fall from 2.16 percent in 2025 to 2.02 percent by 2029.  

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Statista (2022). Great Recession: GDP growth for the E7 emerging economies 2007-2011 [Dataset]. https://www.statista.com/statistics/1346915/great-recession-e7-emerging-economies-gdp-growth/
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Great Recession: GDP growth for the E7 emerging economies 2007-2011

Explore at:
Dataset updated
Nov 23, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2007 - 2011
Area covered
Worldwide
Description

The Global Financial Crisis (2007-2008), which began due to the collapse of the U.S. housing market, had a negative effect in many regions across the globe. The global recession which followed the crisis in 2008 and 2009 showed how interdependent and synchronized many of the world's economies had become, with the largest advanced economies showing very similar patterns of negative GDP growth during the crisis. Among the largest emerging economies (commonly referred to as the 'E7'), however, a different pattern emerged, with some countries avoiding a recession altogether. Some commentators have particularly pointed to 2008-2009 as the moment in which China emerged on the world stage as an economic superpower and a key driver of global economic growth. The Great Recession in the developing world While some countries, such as Russia, Mexico, and Turkey, experienced severe recessions due to their connections to the United States and Europe, others such as China, India, and Indonesia managed to record significant economic growth during the period. This can be partly explained by the decoupling from western financial systems which these countries undertook following the Asian financial crises of 1997, making many Asian nations more wary of opening their countries to 'hot money' from other countries. Other likely explanations of this trend are that these countries have large domestic economies which are not entirely reliant on the advanced economies, that their export sectors produce goods which are inelastic (meaning they are still bought during recessions), and that the Chinese economic stimulus worth almost 600 billion U.S. dollars in 2008/2009 increased growth in the region.

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