46 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. National debt of China in relation to GDP 2010-2030

    • statista.com
    Updated Oct 16, 2025
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    Statista (2025). National debt of China in relation to GDP 2010-2030 [Dataset]. https://www.statista.com/statistics/270329/national-debt-of-china-in-relation-to-gross-domestic-product-gdp/
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    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    The graph shows national debt in China related to gross domestic product until 2024, with forecasts to 2030. In 2024, gross national debt ranged at around 88 percent of the national gross domestic product. The debt-to-GDP ratio In economics, the ratio between a country's government debt and its gross domestic product (GDP) is generally defined as the debt-to-GDP ratio. It is a useful indicator for investors to measure a country's ability to fulfill future payments on its debts. A low debt-to-GDP ratio also suggests that an economy produces and sells a sufficient amount of goods and services to pay back those debts. Among the important industrial and emerging countries, Japan displayed one of the highest debt-to-GDP ratios. In 2024, the estimated national debt of Japan amounted to about 250 percent of its GDP, up from around 180 percent in 2004. One reason behind Japan's high debt load lies in its low annual GDP growth rate. Development in China China's national debt related to GDP grew slowly but steadily from around 23 percent in 2000 to 34 percent in 2012, only disrupted by the global financial crisis in 2008. In recent years, China increased credit financing to spur economic growth, resulting in higher levels of debt. China's real estate crisis and a difficult global economic environment require further stimulating measures by the government and will predictably lead to even higher debt growth in the years ahead.

  3. Total investment as a share of GDP in China 1980-2030

    • statista.com
    Updated Apr 24, 2025
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    Statista (2025). Total investment as a share of GDP in China 1980-2030 [Dataset]. https://www.statista.com/statistics/1197064/china-total-investment-as-gdp-share/
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    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, China’s level of total investment reached around 40.4 percent of the gross domestic product (GDP). This value is expected to remain stable in 2025 and increase slightly in the following years. Final consumption accounted for 55.7 percent in 2023. International comparison of total investments The GDP of a country can be calculated by the expenditure approach, which sums up final consumption (private and public), total investment, and net exports. The ratio of consumption to investment may vary greatly between different countries.Matured economies normally consume a larger share of their economic output. In the U.S. and many European countries, total investment ranges roughly at only 20 to 25 percent of the GDP. In comparison, some emerging economies reached levels of 30 to 40 percent of investment during times of rapid economic development. Level of total investment in China China is among the countries that spend the highest share of their GDP on investments. Between 1980 and 2000, 30 to 40 percent of its economic output were invested, roughly on par with South Korea or Japan. While the latter’s investment spending ratio decreased in later years, China’s even grew, especially after the global financial crisis, peaking at staggering 47 percent of GDP in 2011.However, returns on those investments declined year by year, indicated by lower GDP growth rates. This resulted in a quickly growing debt burden, which reached nearly 285 percent of the GDP in 2023, up from only 135 percent in 2008. The Chinese government defined the goal to shift to consumption driven growth, but the transformation takes longer than expected.

  4. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 19, 1990 - Dec 2, 2025
    Area covered
    China
    Description

    China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

  5. Descriptive statistics.

    • plos.figshare.com
    xls
    Updated Sep 19, 2025
    + more versions
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    Wanbo Lu; Qibo Liu; Haofang Li (2025). Descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0332909.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 19, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanbo Lu; Qibo Liu; Haofang Li
    License

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

    Description

    This paper employs the mixed-frequency Granger causality test, reverse unconstrained mixed-frequency data sampling models, and Chinese data from January 2006 to June 2024 to test the nexus between consumer confidence and the macroeconomy. The results show that changes in the real estate market, GDP, and urban unemployment rate are Granger causes of consumer confidence. In reverse, consumer confidence is a Granger cause of the CPI. Second, GDP and the real estate market (CPI and urban unemployment rate) have a significant positive (negative) impact on consumer confidence, while the conditions of industrial production, interest rate, and stock market do not. Third, the “animal spirits” extracted from consumer confidence cannot lead to noticeable fluctuations in China’s macroeconomy. This suggests that the “animal spirits” will not dominate economic growth, even though they affect the macroeconomy slightly and inevitably. The results are robust after replacing the dependent variable and considering the influence of the global financial crisis and the COVID-19 pandemic.

  6. 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.

  7. S1 Data -

    • plos.figshare.com
    xlsx
    Updated Nov 3, 2023
    + more versions
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    Jiamu Hu (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0293909.s001
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    xlsxAvailable download formats
    Dataset updated
    Nov 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jiamu Hu
    License

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

    Description

    China’s export benefits from the significant fiscal stimulus in the United States. This paper analyzes the global spillover effect of the American economy on China’s macro-economy using the Markov Chain Monte Carlo (MCMC)-Gibbs sampling approach, with the goal of improving the ability of China’s financial system to protect against foreign threats. This paper examines the theories of the consequences of uncertainty on macroeconomics first. Then, using medium-sized economic and financial data, the uncertainty index of the American and Chinese economies is built. In order to complete the test and analysis of the dynamic relationship between American economic uncertainty and China’s macro-economy, a Time Varying Parameter-Stochastic Volatility-Vector Autoregression (TVP- VAR) model with random volatility is constructed. The model is estimated using the Gibbs sampling method based on MCMC. For the empirical analysis, samples of China’s and the United States’ economic data from January 2001 to January 2022 were taken from the WIND database and the FRED database, respectively. The data reveal that there are typically fewer than 5 erroneous components in the most estimated parameters of the MCMC model, which suggests that the model’s sampling results are good. China’s pricing level reacted to the consequences of the unpredictability of the American economy by steadily declining, reaching its lowest point during the financial crisis in 2009, and then gradually diminishing. After 2012, the greatest probability density range of 68% is extremely wide and contains 0, indicating that the impact of economic uncertainty in the United States on China’s pricing level is no longer significant. China should therefore focus on creating a community of destiny by working with nations that have economic cooperation to lower systemic financial risks and guarantee the stability of the capital market.

  8. Consumer confidence in China 2020-2025

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Consumer confidence in China 2020-2025 [Dataset]. https://www.statista.com/statistics/271697/consumer-confidence-in-china/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2020 - Sep 2025
    Area covered
    China
    Description

    In September 2025, the index for consumer confidence in China ranged at **** points, up from **** points in the previous month. The index dropped considerably in the first half of 2022 and performed a sideways movement during 2023 and 2024. Consumer confidence Index The consumer confidence index (CCI), also called Index of Consumer Sentiment (ICS) is a commonly used indicator to measure the degree of economic optimism among consumers. Based on information about saving and spending activities of consumers, changes in business climate and future spending behavior are being projected. The CCI plays an important role for investors, retailers, and manufacturers in their decision-making processes. However, measurement of consumer confidence varies strongly from country to country. As consumers need time to react to economic changes, the CCI tends to lag behind other indicators like the consumer price index (CPI) and the producer price index (PPI). Development in China As shown by the graph at hand, confidence among Chinese consumers picked up since mid of 2016. In October 2017, the CCI hit a record value of 127.6 index points and entered into a sideward movement. Owing to a relative stability in GDP growth, a low unemployment rate, and a steady development of disposable household income, Chinese consumers gained more confidence in the state of the national economy. Those factors also contribute to the consumers’ spending power, which was reflected by a larger share of consumption in China’s GDP. After the outbreak of the coronavirus pandemic, consumer confidence dropped quickly in the beginning of 2020, but started to recover in the second half of the year, leading to a v-shaped movement of the index in 2020.

  9. d

    Replication Data for: The Crisis of COVID-19 and the Political Economy of...

    • dataone.org
    Updated Nov 9, 2023
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    Chen, Ian Tsung-yen (2023). Replication Data for: The Crisis of COVID-19 and the Political Economy of China’s Vaccine Diplomacy [Dataset]. http://doi.org/10.7910/DVN/EZHYNC
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    Dataset updated
    Nov 9, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Chen, Ian Tsung-yen
    Description

    This dataset includes the replication dataset and code (do file for stata) for a forthcoming article in Foreign Policy Analysis, titled "The Crisis of COVID-19 and the Political Economy of China’s Vaccine Diplomacy"

  10. d

    Global Financial Crisis Special

    • data.gov.tw
    pdf
    Updated Nov 3, 2025
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    Central Bank of the Republic of China(Taiwan) (2025). Global Financial Crisis Special [Dataset]. https://data.gov.tw/en/datasets/175490
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    pdfAvailable download formats
    Dataset updated
    Nov 3, 2025
    Dataset authored and provided by
    Central Bank of the Republic of China(Taiwan)
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The global financial crisis, triggered by the 2007 subprime mortgage crisis in the United States, has severely affected financial systems and real economies worldwide, leading to the most serious economic recession since the Great Depression of the 1930s. Behind these two economic recessions, despite different historical contexts and approaches to problem-solving, there are common characteristics associated with the mutual impact of financial crises: the essence of a financial crisis lies in financial instability, reflecting the fluctuations in asset prices. In addition to these two severe financial crises, financial crises of varying scales have occurred intermittently internationally. Considering the past and present, people need to think deeper about how to prevent such crises from happening again, especially mainstream macroeconomic thinking that has far-reaching effects should be reassessed.

  11. Additional file 1 of An innovative machine learning workflow to research...

    • springernature.figshare.com
    xlsx
    Updated Aug 15, 2024
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    Da Wang; YingXue Zhou (2024). Additional file 1 of An innovative machine learning workflow to research China’s systemic financial crisis with SHAP value and Shapley regression [Dataset]. http://doi.org/10.6084/m9.figshare.26691553.v1
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    xlsxAvailable download formats
    Dataset updated
    Aug 15, 2024
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Da Wang; YingXue Zhou
    License

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

    Description

    Additional file 1: Spearman correlation matrix.

  12. CWT plots comparison of the COVID-19 and the GFC.

    • plos.figshare.com
    xls
    Updated Jun 12, 2023
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    Cheng Hu; Wei Pan; Wulin Pan; Wan-qiang Dai; Ge Huang (2023). CWT plots comparison of the COVID-19 and the GFC. [Dataset]. http://doi.org/10.1371/journal.pone.0272024.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cheng Hu; Wei Pan; Wulin Pan; Wan-qiang Dai; Ge Huang
    License

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

    Description

    CWT plots comparison of the COVID-19 and the GFC.

  13. Variable definitions and data sources.

    • plos.figshare.com
    xls
    Updated Sep 19, 2025
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    Wanbo Lu; Qibo Liu; Haofang Li (2025). Variable definitions and data sources. [Dataset]. http://doi.org/10.1371/journal.pone.0332909.t001
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    xlsAvailable download formats
    Dataset updated
    Sep 19, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Wanbo Lu; Qibo Liu; Haofang Li
    License

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

    Description

    This paper employs the mixed-frequency Granger causality test, reverse unconstrained mixed-frequency data sampling models, and Chinese data from January 2006 to June 2024 to test the nexus between consumer confidence and the macroeconomy. The results show that changes in the real estate market, GDP, and urban unemployment rate are Granger causes of consumer confidence. In reverse, consumer confidence is a Granger cause of the CPI. Second, GDP and the real estate market (CPI and urban unemployment rate) have a significant positive (negative) impact on consumer confidence, while the conditions of industrial production, interest rate, and stock market do not. Third, the “animal spirits” extracted from consumer confidence cannot lead to noticeable fluctuations in China’s macroeconomy. This suggests that the “animal spirits” will not dominate economic growth, even though they affect the macroeconomy slightly and inevitably. The results are robust after replacing the dependent variable and considering the influence of the global financial crisis and the COVID-19 pandemic.

  14. 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.

  15. R

    Rigid Crash Barrier Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Apr 3, 2025
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    Archive Market Research (2025). Rigid Crash Barrier Report [Dataset]. https://www.archivemarketresearch.com/reports/rigid-crash-barrier-117081
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global rigid crash barrier market is experiencing robust growth, driven by increasing infrastructure development, stringent road safety regulations, and rising government investments in transportation infrastructure improvements worldwide. The market size in 2025 is estimated at $8 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the expansion of highway networks and the construction of new roads, particularly in developing economies, creates significant demand for crash barriers. Secondly, the increasing awareness of road safety and the implementation of stricter regulations mandating the installation of these barriers are boosting market expansion. Furthermore, technological advancements leading to the development of more durable, cost-effective, and aesthetically pleasing barrier systems are driving adoption. Different material types, such as metal and concrete, cater to various application needs and budget considerations, contributing to the market's diversity. The market segmentation reveals strong growth across various applications, with highways and mountain roads representing significant segments. While metal crash barriers currently dominate the market due to their versatility and cost-effectiveness, concrete barriers are gaining traction owing to their superior strength and durability in high-impact scenarios. Geographic analysis indicates strong growth potential in Asia-Pacific, particularly in rapidly developing economies like India and China, driven by large-scale infrastructure projects. North America and Europe maintain substantial market shares due to established infrastructure and stringent safety standards. However, competitive pressures from numerous established and emerging players are shaping the market landscape. Companies like YNM Safety, G R Infraprojects, and others are actively involved in innovation and strategic partnerships to enhance their market presence and meet the growing demand for high-performance rigid crash barriers. The forecast period of 2025-2033 anticipates continued expansion, with market growth further influenced by evolving safety regulations, advancements in barrier design, and overall economic growth in key regions.

  16. Gross domestic product (GDP) growth rate in the BRICS countries 2000-2030

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Gross domestic product (GDP) growth rate in the BRICS countries 2000-2030 [Dataset]. https://www.statista.com/statistics/741729/gross-domestic-product-gdp-growth-rate-in-the-bric-countries/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil, India, Russia, South Africa, China
    Description

    For most of the past two decades, China had the highest GDP growth of any of the BRICS countries, although it was overtaken by India in the mid-2010s, and India is predicted to have the highest growth in the 2020s. All five countries saw their GDP growth fall during the global financial crisis in 2008, and again during the coronavirus pandemic in 2020; China was the only economy that continued to grow during both crises, although India's economy also grew during the Great Recession. In 2014, Brazil experienced its own recession due to a combination of economic and political instability, while Russia also went into recession due to the drop in oil prices and the economic sanctions imposed following its annexation of Crimea.

  17. Data from: Data and data sources.

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Cheng Hu; Wei Pan; Wulin Pan; Wan-qiang Dai; Ge Huang (2023). Data and data sources. [Dataset]. http://doi.org/10.1371/journal.pone.0272024.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cheng Hu; Wei Pan; Wulin Pan; Wan-qiang Dai; Ge Huang
    License

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

    Description

    Data and data sources.

  18. Great Recession: major economy government expenditure as a share of GDP...

    • statista.com
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    Statista, Great Recession: major economy government expenditure as a share of GDP 2007-2011 [Dataset]. https://www.statista.com/statistics/1349349/great-recession-government-expenditure-gdp-major-economies/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2012
    Area covered
    Worldwide
    Description

    During the financial crisis of 2007-2008 and the subsequent recession, many of the world's largest countries increased their government expenditure in order to backstop financial markets, provide a stimulus to the non-financial economy, or to bail-out companies and institutions which were in danger of bankruptcy. China and the United States led the way in stimulus spending, as the Chinese announced a package worth 600 billion U.S. dollars in 2008, while the Troubled Asset Relief Program (TARP) and the American Recovery and Reinvestment Act (ARRA) in the U.S. had a combined announced value of around 1.5 trillion U.S. dollars. The increase in China's government expenditure was particularly notable, as it represented an increase of almost one-third from 2007 to 2009.

  19. ETF uses during period of heightened market volatility by region 2021

    • statista.com
    Updated Mar 8, 2021
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    Statista (2021). ETF uses during period of heightened market volatility by region 2021 [Dataset]. https://www.statista.com/statistics/1191923/etf-uses-market-volatility-worldwide-region/
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    Dataset updated
    Mar 8, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Worldwide
    Description

    Purchasing fixed income exchange traded fund (ETF) products was the preferred option of professional investors in China to manage periods of heightened market volatility, such as the economic crash caused by the global coronavirus (COVID-19) pandemic in **********. In a 2021 survey, just over half of respondents from Greater China cited this as their top strategy. This was also the top response in the United States, but only the second most popular among European investors.

  20. 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.

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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

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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.

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