63 datasets found
  1. Additional file 1 of An innovative machine learning workflow to research...

    • springernature.figshare.com
    xlsx
    Updated Aug 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Explore at:
    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.

  2. Great Recession: GDP growth for the E7 emerging economies 2007-2011

    • statista.com
    Updated Nov 23, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    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.

  3. Descriptive statistics.

    • plos.figshare.com
    xls
    Updated Sep 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wanbo Lu; Qibo Liu; Haofang Li (2025). Descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0332909.t002
    Explore at:
    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.

  4. d

    Global Financial Crisis Special

    • data.gov.tw
    pdf
    Updated Nov 3, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Central Bank of the Republic of China(Taiwan) (2025). Global Financial Crisis Special [Dataset]. https://data.gov.tw/en/datasets/175490
    Explore at:
    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.

  5. m

    Data for: Financial Development and Carbon Emissions in China since the...

    • data.mendeley.com
    Updated Mar 31, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    衍蓉 宋 (2020). Data for: Financial Development and Carbon Emissions in China since the Recent World Financial Crisis: Evidence from a Spatial-temporal Analysis and a Spatial Durbin Model [Dataset]. http://doi.org/10.17632/xfw6z2ky7f.1
    Explore at:
    Dataset updated
    Mar 31, 2020
    Authors
    衍蓉 宋
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Area covered
    China
    Description

    data for financial development and emission

  6. g

    World Bank - China - Financial sector assessment : FSA | gimi9.com

    • gimi9.com
    Updated Dec 19, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2017). World Bank - China - Financial sector assessment : FSA | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_29592024/
    Explore at:
    Dataset updated
    Dec 19, 2017
    License

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

    Area covered
    China
    Description

    Since the 2011 Financial Sector Assessment Program (FSAP), China’s economic growth has remained strong, although a necessary economic transformation is underway. China now has the world’s largest GDP in PPP terms, and poverty rates have fallen. However, medium-term growth prospects have moderated. The limits to the investment-driven growth strategy, combined with an aging population, waning dividends from past reforms, and a challenging external environment, have necessitated a transformation towards a more market-oriented economy that is more consumption-based, more services-driven, less credit-dependent and, especially, more efficient. This transformation has already started, as the Chinese authorities are increasingly emphasizing the quality of growth and have pushed structural reforms. The economic transformation requires a fundamental change in the role of the financial system. Historically its role was to channel China’s high savings at low cost to strategic sectors. China’s economic rebalancing is multi-dimensional, and there is a need to significantly improve the financial sector’s capital allocation to promote the rebalancing from investment to consumption; from heavy manufacturing to services; and from large to small enterprises. Looking ahead, the financial system will need to become more balanced, sustainable and inclusive, to facilitate China’s economic transformation, where markets play an increasingly dominant role in resource allocation and where consequences of risk-taking are well-understood and accepted. Maintaining financial stability would also require that remaining gaps in regulatory frameworks be addressed. The standard assessments for the banking, insurance, and securities sectors show a high degree of compliance with international standards, but also point to critical gaps. Themes that cut across China’s regulatory agencies include a lack of independence, insufficient resources for supervising a large and increasingly complex financial sector, and inadequate interagency coordination and systemic risk analysis. The remaining priorities for financial market infrastructure oversight include the adoption of full delivery-versus-payment and a stronger legal basis for settlement finality. Further enhancements to crisis management frameworks are needed to allow financial institutions to fail in a manner that minimizes the impact on financial stability and public resources. This would require amongst others greater emphasis on financial stability rather than social concerns in dealing with real and potential crisis situations, the introduction of a special resolution regime for failing banks, and a streamlining of the current system of financial safety nets.

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

    • statista.com
    Updated Oct 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    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.

  8. s

    Citation Trends for "A Comparative Study on the Competitiveness of Major...

    • shibatadb.com
    Updated May 15, 2012
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yubetsu (2012). Citation Trends for "A Comparative Study on the Competitiveness of Major Shipping Ports in Korea and China after the Global Financial Crisis" [Dataset]. https://www.shibatadb.com/article/iYtrEE46
    Explore at:
    Dataset updated
    May 15, 2012
    Dataset authored and provided by
    Yubetsu
    License

    https://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt

    Time period covered
    2016 - 2020
    Area covered
    China
    Variables measured
    New Citations per Year
    Description

    Yearly citation counts for the publication titled "A Comparative Study on the Competitiveness of Major Shipping Ports in Korea and China after the Global Financial Crisis".

  9. Chinese asset-backed securitization penetration rate 2018, by category

    • statista.com
    Updated Jun 13, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2019). Chinese asset-backed securitization penetration rate 2018, by category [Dataset]. https://www.statista.com/statistics/1040925/china-asset-backed-securitization-category-penetration-rate/
    Explore at:
    Dataset updated
    Jun 13, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    China
    Description

    In 2018, in China's asset-backed securitization (ABS) market, residential mortgage-backed securities (RMBS) had the highest penetration rate at **** percent, which was much lower than that in the United States. After the global financial crisis in 2008, the Chinese government relaunched the RMBS program four years later. Featured as a low-risk investment option, RMBS then became hugely popular among Chinese homebuyers and investors.

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

    • statista.com
    Updated Nov 23, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    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.

  11. c

    Bank Credit for SMEs: Internal Organization and the Assessment of Credit...

    • datacatalogue.cessda.eu
    Updated Sep 26, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zhao, T (2025). Bank Credit for SMEs: Internal Organization and the Assessment of Credit Risk in China, 2018 [Dataset]. http://doi.org/10.5255/UKDA-SN-855446
    Explore at:
    Dataset updated
    Sep 26, 2025
    Dataset provided by
    University of Birmingham
    Authors
    Zhao, T
    Time period covered
    Jan 1, 2018 - Feb 28, 2018
    Area covered
    China
    Variables measured
    Individual, Organization
    Measurement technique
    The data was collected from semi-structured questionnaire of bank managers working in the operation department and credit risk department of different hierarchical levels of individual commercial banks. China has 299 prefecture-level cities. To make the survey manageable, the focus was on Shanghai, Dalian, and Beijing. Shanghai and Beijing are two of the four province-level municipalities. Regarding Dalian, it is one municipality with Independent Planning Status under the National Social and Economic Development. These 3 municipalities have both the first and the second layer of branches of targeted banks. Also, 4 out 5 headquarters of state-owned banks is in Beijing.
    Description

    A survey of bank managers working in the operation and credit risk department at different hierarchical levels of individual commercial banks in China responsible for bank credit analyses and risk evaluations covering the procedure from loan application to final decision. The objective is to understand the internal organization arrangement of Chinese commercial banks in the provision of bank credit to SMEs. The focus is on the incentives and constraints faced by branch managers in the interaction with SMEs. The enquiry reflects the notion that the branch manager who directly interacts with the SME borrower plays a critical role in the information collection and processing in the lending decision. The incentives and constraints faced by branch manager are shaped by the type of organization of the bank: the degree of decision-making centralization, modes of communication between hierarchical levels, and the adoption of statistical techniques for risk evaluation.

    The Chinese financial system has served the Chinese economy well in the early stages of development in channeling domestic savings to domestic investment. But, continued financial repression, along with a growing middle class and ageing population has created pressure on savings to 'search for yield'. At the same time, the dominance of lending to state-owned-enterprises, political constraints, inefficiencies and weak risk management practice by financial institutions (FI) have pushed SMEs to alternative sources of funding. The demand for yield from savers and funds from private investment has been met by the rapid growth in shadow banking.

    This study encompasses two of the identified themes of the research call. The research theme 'alternative strategies for reform and liberalization' covers the role of the Shadow Bank system in the credit intermediation process. This research is of critical importance because it informs the macroeconomic research necessary for investigating 'the role of the Chinese financial system in sustaining economic growth'. Addressing the first research theme we take a dual track approach to better understand the role of the financial system in sustaining in economic growth. The first track examines the role of bank and non-bank finance in promoting long-term economic growth at the regional level. The second track is aimed at the more short-term issue of identifying the potential frequency of macro-economic crises generated by a banking crisis.

    The finance-growth nexus is a well-established area of economic development, however the China experience questions the supposition that financial development is a necessary precondition. The empirical findings are mixed. Part of the reason for this could be the failure to distinguish between the quality of financial institutions across regions, and the openness of the local environment in terms of the balance between private and public enterprises. Our research would build on the existing literature in two ways. First, it would utilise imperfect but available data on informal finance to examine direct and spill-over effects on medium term growth from contiguous provinces. Second, primary data on the geographic dimension in shadow bank lending gleaned from Theme 2 research will be used to design a weighting system to adjust financial flows for the quality of the local financial environment. The second prong will develop a small macroeconomic model of a hybrid DSGE type that incorporates a banking sector including shadow banks.

    Such models have been developed for China in recent times but only a few have attempted to incorporate a banking sector. These models are mostly calibrated versions and make no attempt to test the structure against the data. Recent attempts to test a hybrid New Keynesian-RBC DSGE type model for the Chinese economy using the method of indirect inference have been successful and inclusion of a shadow banks have shown some success. The results of the Theme 2 study will inform the development of a fuller shadow banking sector in the macroeconomic model that will be used to estimate the frequency of economic crises generated by bank crises. Theme 2 research will examine the relationship between the banking system and the shadow banking system as complements or substitutes. It will aim to determine the variable interest rate on the P2P online lending platform on the basis of risk-return, the home bias in online investments, and the signaling and screening in the P2P online lending platform. Finally, it will aim to identify the impact of shadow banking on entrepreneurial activity, the industrial growth rate and regional housing investment and price differentials. These results would inform the theme 1 research on the interconnectedness of shadow banking with the mainstream and the fragility of the financial system to shocks and financial crises.

  12. f

    Pre and post crisis (Chinese based companies) from 1st to 3rd digits...

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Dec 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Shoaib Hassan; Muhammad Aksar; Maqbool Ahmad; Jana Kajanova (2024). Pre and post crisis (Chinese based companies) from 1st to 3rd digits Benford’s Law on net annual income of companies in China. [Dataset]. http://doi.org/10.1371/journal.pone.0313611.t013
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Shoaib Hassan; Muhammad Aksar; Maqbool Ahmad; Jana Kajanova
    License

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

    Area covered
    China
    Description

    Pre and post crisis (Chinese based companies) from 1st to 3rd digits Benford’s Law on net annual income of companies in China.

  13. Variable definitions and data sources.

    • plos.figshare.com
    xls
    Updated Sep 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wanbo Lu; Qibo Liu; Haofang Li (2025). Variable definitions and data sources. [Dataset]. http://doi.org/10.1371/journal.pone.0332909.t001
    Explore at:
    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. Leading countries worldwide, by value of foreign currency reserves 2020

    • statista.com
    Updated Nov 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Leading countries worldwide, by value of foreign currency reserves 2020 [Dataset]. https://www.statista.com/statistics/368101/countries-with-largest-foreign-currency-reserves/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    This statistic presents the leading countries worldwide, by value of foreign currency reserves in 2020. In 2020, the foreign currency reserves held by China, including gold, were the largest and amounted to about *** trillion U.S. dollars. Second in rank was Japan with reserves worth about *** trillion U.S. dollars which was less than half of those of China.

  15. China's foreign exchange reserves 2012-2024

    • statista.com
    Updated Nov 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). China's foreign exchange reserves 2012-2024 [Dataset]. https://www.statista.com/statistics/278206/foreign-exchange-reserves-of-china/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    In 2024, the foreign exchange reserves in China amounted to over *** trillion U.S. dollars. Over the past years, the forex reserved had remained relatively stable. However, in the first half of 2022, the country’s dollar reserves fluctuated as a response to domestic and international crises. On the one hand, the outbreak of the Omicron variant affected the Chinese economy, on the other hand, the war in Ukraine brought uncertainty to global markets.

    The world’s largest forex holder For over 30 years, China has been the global factory and by having a trade surplus, was able to grow its reserve assets to be the largest in the world. The most prominent currency on the People’s Bank of China’s balance sheet is the U.S. dollar. One of its main applications is the stabilization of the U.S. dollar to the yuan exchange rate. The yuan as a reserve currency Currency can be a powerful tool that the Chinese government does not want to miss. Since the U.S. dollar is the global reserve currency, the United States has strong leverage over other countries. Therefore, to build a counterweight to American influence, Beijing works on establishing the Yuan as a second global reserve currency. So far, China has set up a reserve pool with **** other nations and opened offshore clearing houses around the world.

  16. f

    The regression results during the GFC.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Mar 6, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Zeng, Lidan; Hu, Xin; Zhu, Bo; Zhang, Bokai (2024). The regression results during the GFC. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001310721
    Explore at:
    Dataset updated
    Mar 6, 2024
    Authors
    Zeng, Lidan; Hu, Xin; Zhu, Bo; Zhang, Bokai
    Description

    The linkages between the US and China, the world’s two major agricultural powers, have brought great uncertainty to the global food markets. Inspired by these, this paper examines the extreme risk spillovers between US and Chinese agricultural futures markets during significant crises. We use a copula-conditional value at risk (CoVaR) model with Markov-switching regimes to capture the tail dependence in their pair markets. The study covers the period from January 2006 to December 2022 and identifies two distinct dependence regimes (stable and crisis periods). Moreover, we find significant and asymmetric upside/downside extreme risk spillovers between the US and Chinese markets, which are highly volatile in crises. Additionally, the impact of international capital flows (the financial channel) on risk spillovers is particularly pronounced during the global financial crisis. During the period of the COVID-19 pandemic and the Russia-Ukraine 2022 war, the impact of supply chain disruptions (the non-financial channel) is highlighted. Our findings provide a theoretical reference for monitoring the co-movements in agricultural futures markets and practical insights for managing investment portfolios and enhancing food market stability during crises.

  17. S1 Data -

    • plos.figshare.com
    xls
    Updated Apr 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lujing Liu; Xiaoning Zhou; Jian Xu (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0300217.s001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Apr 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lujing Liu; Xiaoning Zhou; Jian Xu
    License

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

    Description

    The objective of this study is to explore the impact of working capital management on firms’ financial performance in China’s agri-food sector from 2006 to 2021. In addition, we analyze whether this impact is the same during the 2008 financial crisis and the 2020 COVID-19 crisis. Working capital management is measured by working capital investment policy (measured by current assets to total assets ratio), working capital financing policy (measured by current liabilities to total assets ratio), cash conversion cycle, and net working capital ratio. The results reveal that current assets to total assets ratio and net working capital ratio positively influence financial performance measured through return on assets (ROA), while current liabilities to total assets ratio and cash conversion cycle negatively influence ROA. We also find that the relationship between working capital management and financial performance is more affected during COVID-19 than in the 2008 financial crisis. The findings might provide important implications for company managers to make optimal working capital management practices, depending on the economic environment.

  18. C

    China Real Time Payments Industry Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated May 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). China Real Time Payments Industry Report [Dataset]. https://www.marketreportanalytics.com/reports/china-real-time-payments-industry-87731
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The China real-time payments (RTP) industry is experiencing explosive growth, projected to reach a market size of $5.46 billion in 2025, expanding at a Compound Annual Growth Rate (CAGR) of 32.60% from 2025 to 2033. This rapid expansion is fueled by several key factors. The widespread adoption of smartphones and mobile internet access has created a fertile ground for digital payment solutions, with platforms like Alipay and WeChat Pay leading the charge and establishing a near-ubiquitous presence. Government initiatives promoting digitalization and financial inclusion have further accelerated the industry's growth, encouraging both businesses and consumers to embrace RTP systems. The increasing preference for contactless and cashless transactions, driven by convenience and hygiene concerns, especially amplified during recent global health crises, significantly contributes to this growth. The market is segmented primarily by payment type: Person-to-Person (P2P) and Person-to-Business (P2B), with P2P transactions dominating due to high mobile penetration and the popularity of social commerce. Competition is fierce, with major players like Alipay, WeChat Pay, and international giants such as PayPal vying for market share. While the regulatory landscape and potential cybersecurity risks pose challenges, the overall outlook for the China RTP industry remains highly positive for the foreseeable future. The significant growth trajectory is underpinned by the expanding e-commerce sector in China, increasing cross-border transactions, and the continuous innovation in fintech solutions, including advancements in artificial intelligence and blockchain technology for enhanced security and efficiency. However, maintaining sustainable growth requires addressing challenges such as ensuring data privacy and security, combating fraudulent activities, and ensuring regulatory compliance. Further expansion into underserved rural areas and promoting financial literacy among the older generation are crucial for maximizing the industry's potential. The continued integration of RTP systems with other financial services, such as lending and investment platforms, will further drive market expansion and create new opportunities for innovation and growth throughout the forecast period. Recent developments include: April 2023 - Paypal Holdings Inc. stated that it has introduced new features In addition to its complete payment solution for small businesses, . The solution provides a range of payment options, such as PayPal, Venmo and Pay Later, for small businesses. Incentivizing customers to choose how they want to pay can help drive the checkout process., February 2023 - Yiwu, located in eastern China's Zhejiang province, launched a payment platform to facilitate global online transactions. A new payment platform Yiwu Pay aims to facilitate over 900,000 market entities as through this platform, about 2.1 million micro, small, and medium-sized enterprises along the supply chain will be able to better connect to the global market and conduct easier and safer cross-border transactions.. Key drivers for this market are: Rising Penetration of Smartphone is Expected to Boost the Real Time Payments Market, Growing Need For Faster Payments and Falling Reliance on Traditional Banking. Potential restraints include: Rising Penetration of Smartphone is Expected to Boost the Real Time Payments Market, Growing Need For Faster Payments and Falling Reliance on Traditional Banking. Notable trends are: Increasing Penetration of Smartphone across China to Propel the Real Time Payments Market Growth.

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

    • statista.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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/
    Explore at:
    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.

  20. EUR/CNY FX rate, up to Nov 14, 2025

    • statista.com
    Updated Nov 18, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). EUR/CNY FX rate, up to Nov 14, 2025 [Dataset]. https://www.statista.com/statistics/412827/euro-to-yuan-average-annual-exchange-rate/
    Explore at:
    Dataset updated
    Nov 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 13, 2018 - Nov 14, 2025
    Area covered
    Europe
    Description

    The euro to Chinese yuan (RMB, ISO Code: CNY) exchange rate history reveals a decline since 2020, although figures recovered somewhat in 2022. By late June 2025, the currency exchange seemed to have stabilized somewhat: One euro could buy nearly 8.27 yuan on November 14, 2025. This is less than before the financial crisis in 2008, when this rate was briefly over 11 yuan. At its lowest point - in early 2015 - the exchange rate dropped well below seven yuan.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
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
Organization logoOrganization logo

Additional file 1 of An innovative machine learning workflow to research China’s systemic financial crisis with SHAP value and Shapley regression

Related Article
Explore at:
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.

Search
Clear search
Close search
Google apps
Main menu