90 datasets found
  1. Great Recession: UK government bailout of banking system in October 2008, by...

    • statista.com
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    Statista, Great Recession: UK government bailout of banking system in October 2008, by bank [Dataset]. https://www.statista.com/statistics/1347476/uk-bank-bailout-great-recession-financial-crisis/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2008
    Area covered
    United Kingdom
    Description

    With the onset of the Global Financial Crisis in the late Summer of 2007, the United Kingdom was one of the first countries to experience financial panic after the United States. In September 2007, the bank Northern Rock became the UK's first bank to collapse in 150 years due to a bank run, as depositors reacted to the announcement that the bank would be seeking emergency liquidity support from the Bank of England by lining up outside their bank branches to withdraw money. The failure of Northern Rock was a bad omen for the UK economy and financial sector, as banks stopped lending to each other and to customers in what became known as the 'credit crunch'. Government bailouts, private bailouts By October 2008, many UK banks were facing a situation where if they did not receive external assistance, then they would have to default on their debts and likely have to declare bankruptcy. The UK's Labour government, led by Prime Minister Gordon Brown, announced that it would provide emergency funds to stabilize the banking system, leading to the part or full nationalization of some of Britain's largest financial firms. Specifically, Royal Bank of Scotland, Lloyds TSB, and HBOS received over 35 billion pounds in a government cash injection, while Barclays opted to seek investment from private investors in order to avoid nationalization, much of which came from the state of Qatar. The bailouts caused UK government debt ratios to almost double over the period of the crisis, while public trust in the financial system sank.

  2. Financial Crisis and Statitical Classification

    • data.wu.ac.at
    • data.gov.uk
    • +1more
    html
    Updated Apr 26, 2014
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    Office for National Statistics (2014). Financial Crisis and Statitical Classification [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/MThiYmUzNjktYTI1ZS00ZWVkLTk1YTgtNDNjYzk1ODY4NTAy
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    htmlAvailable download formats
    Dataset updated
    Apr 26, 2014
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The classification of finiancial crisis interventions

    Source agency: Office for National Statistics

    Designation: Supporting material

    Language: English

    Alternative title: Financial Crisis and Statitical Classification

  3. UK public opinion of British businesses following the financial crisis in...

    • statista.com
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    Statista, UK public opinion of British businesses following the financial crisis in June 2014 [Dataset]. https://www.statista.com/statistics/319807/uk-citizens-opinion-of-british-businesses-after-the-global-financial-crisis/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    This statistic shows the responses that adults from the United Kingdom (UK) gave when asked "To what extent do you agree or disagree with the following statement: 'The economic crisis has damaged my confidence in business as a whole'" as of June 2014. A large share of respondents (** percent) felt that the economic crisis had damaged their confidence in business as a whole, and a third of respondents felt neutral to the question.

  4. Great Recession: unemployment rate in the G7 countries 2007-2011

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: unemployment rate in the G7 countries 2007-2011 [Dataset]. https://www.statista.com/statistics/1346779/unemployment-rate-g7-great-recession/
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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

    With the collapse of the U.S. housing market and the subsequent financial crisis on Wall Street in 2007 and 2008, economies across the globe began to enter into deep recessions. What had started out as a crisis centered on the United States quickly became global in nature, as it became apparent that not only had the economies of other advanced countries (grouped together as the G7) become intimately tied to the U.S. financial system, but that many of them had experienced housing and asset price bubbles similar to that in the U.S.. The United Kingdom had experienced a huge inflation of housing prices since the 1990s, while Eurozone members (such as Germany, France and Italy) had financial sectors which had become involved in reckless lending to economies on the periphery of the EU, such as Greece, Ireland and Portugal. Other countries, such as Japan, were hit heavily due their export-led growth models which suffered from the decline in international trade. Unemployment during the Great Recession As business and consumer confidence crashed, credit markets froze, and international trade contracted, the unemployment rate in the most advanced economies shot up. While four to five percent is generally considered to be a healthy unemployment rate, nearing full employment in the economy (when any remaining unemployment is not related to a lack of consumer demand), many of these countries experienced rates at least double that, with unemployment in the United States peaking at almost 10 percent in 2010. In large countries, unemployment rates of this level meant millions or tens of millions of people being out of work, which led to political pressures to stimulate economies and create jobs. By 2012, many of these countries were seeing declining unemployment rates, however, in France and Italy rates of joblessness continued to increase as the Euro crisis took hold. These countries suffered from having a monetary policy which was too tight for their economies (due to the ECB controlling interest rates) and fiscal policy which was constrained by EU debt rules. Left with the option of deregulating their labor markets and pursuing austerity policies, their unemployment rates remained over 10 percent well into the 2010s. Differences in labor markets The differences in unemployment rates at the peak of the crisis (2009-2010) reflect not only the differences in how economies were affected by the downturn, but also the differing labor market institutions and programs in the various countries. Countries with more 'liberalized' labor markets, such as the United States and United Kingdom experienced sharp jumps in their unemployment rate due to the ease at which employers can lay off workers in these countries. When the crisis subsided in these countries, however, their unemployment rates quickly began to drop below those of the other countries, due to their more dynamic labor markets which make it easier to hire workers when the economy is doing well. On the other hand, countries with more 'coordinated' labor market institutions, such as Germany and Japan, experiences lower rates of unemployment during the crisis, as programs such as short-time work, job sharing, and wage restraint agreements were used to keep workers in their jobs. While these countries are less likely to experience spikes in unemployment during crises, the highly regulated nature of their labor markets mean that they are slower to add jobs during periods of economic prosperity.

  5. Business growth, access to finance and performance outcomes in the recession...

    • ckan.publishing.service.gov.uk
    Updated Jan 27, 2012
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    ckan.publishing.service.gov.uk (2012). Business growth, access to finance and performance outcomes in the recession - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/business-growth-finance-performance-in-recession
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    Dataset updated
    Jan 27, 2012
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Data underlying the report of a study that assesses and quantifes the impacts of the financial crisis and subsequent global economic recession on the growth and performance of UK SME employers. Analyses existing data from two previous survey sources on SME employers in the pre-recession and recessionary periods. Covers how the problems in the banking sector have affected the supply of finance to the SME sector, and whether this has depressed business performance and investment. Looks at the impact of the recession has been more serious for particular types of entrepreneurs and businesses.

  6. Quantitative easing by the Bank of England 2009-2020

    • statista.com
    Updated Apr 6, 2020
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    Statista (2020). Quantitative easing by the Bank of England 2009-2020 [Dataset]. https://www.statista.com/statistics/1105570/value-of-quantitative-easing-by-the-bank-of-england-in-the-united-kingdom/
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    Dataset updated
    Apr 6, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2009 - Nov 2020
    Area covered
    United Kingdom
    Description

    One of the major duties the Bank of England (BoE) is tasked with is keeping inflation rates low and stable. The usual tactic for keeping inflation rates down, and therefore the price of goods and services stable by the Bank of England is through lowering the Bank Rate. Such a measure was used in 2008 during the global recession when the BoE lowered the bank base rate from **** percent to *** percent. Due to the economic fears surrounding the COVID-19 virus, as of the 19th of March 2020, the bank base rate was set to its lowest ever standing. The issue with lowering interest rates is that there is an end limit as to how low they can go. Quantitative easing Quantitative easing is a measure that central banks can use to inject money into the economy to hopefully boost spending and investment. Quantitative easing is the creation of digital money in order to purchase government bonds. By purchasing large amounts of government bonds, the interest rates on those bonds lower. This in turn means that the interest rates offered on loans for the purchasing of mortgages or business loans also lowers, encouraging spending and stimulating the economy. Large enterprises jump at the opportunity After the initial stimulus of *** billion British pounds through quantitative easing in March 2020, the Bank of England announced in June that they would increase the amount by a further 100 billion British pounds. In March of 2020, the headline flow of borrowing by non-financial industries including construction, transport, real estate and the manufacturing sectors increased significantly.

  7. F

    OECD based Recession Indicators for the United Kingdom from the Peak through...

    • fred.stlouisfed.org
    json
    Updated Dec 9, 2022
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    (2022). OECD based Recession Indicators for the United Kingdom from the Peak through the Trough (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/GBRRECDM
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    jsonAvailable download formats
    Dataset updated
    Dec 9, 2022
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United Kingdom
    Description

    Graph and download economic data for OECD based Recession Indicators for the United Kingdom from the Peak through the Trough (DISCONTINUED) (GBRRECDM) from 1955-02-01 to 2022-09-30 about peak, trough, recession indicators, and United Kingdom.

  8. Systimec_And_Banking_Crises

    • kaggle.com
    zip
    Updated May 29, 2022
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    Mohamed Abd Al-mgyd (2022). Systimec_And_Banking_Crises [Dataset]. https://www.kaggle.com/datasets/mohamedabdalmgyd/systimec-and-banking-crises
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    zip(267294 bytes)Available download formats
    Dataset updated
    May 29, 2022
    Authors
    Mohamed Abd Al-mgyd
    Description

    (Banking And Systemic Crises)

    prepared by (Mohamed Abd Al-mgyd)

    https://github.com/1145267383/Systemic-And-Banking-Crises

    Dataset

    A)20160923_global_crisis_data:

    https://www.hbs.edu/behavioral-finance-and-financial-stability/data/Pages/global.aspx

    This data was collected over many years by Carmen Reinhart (with her coauthors Ken Rogoff, Christoph Trebesch, and Vincent Reinhart). This data contains the banking crises of 70 countries, from 1800 AD to 2016 AD, with a total of 15,190 records and 16 variables. But the data stabilized after cleaning and adjusting to 8642 records and 17 variables.

    B)Label_Country: This data contains a description of the country whether it's Developing or Developed .

    Variable: Description:

    1-Case: ID Number for Country.

    2-Cc3: ID String for Country.

    3-Country : Name Country.

    4-Year: The date from 1800 to 2016.

    5-Banking_Crisis: Banking problems can often be traced to a decrease the value of banks' assets.

    A) due to a collapse in real estate prices or When the bank asset values decrease substantially . B) if a government stops paying its obligations, this can trigger a sharp decline in value of bonds.

    6-Systemic_Crisis : when many banks in a country are in serious solvency or liquidity problems at the same time—either:

    A) because there are all hits by the same outside shock. B) or because failure in one bank or a group of banks spreads to other banks in the system.

    7-Gold_Standard: The Country have crisis in Gold Standard.

    8-Exch_Usd: Exch local currency in USD, Except exch USD currency in GBP.

    9-Domestic_Debt_In_Default: The Country have domestic debt in default.

    10-Sovereign_External_Debt_1: Default and Restructurings, -Does not include defaults on WWI debt to United States and United Kingdom and post-1975 defaults on Official External Creditors.

    11-Sovereign_External_Debt_2: Default and Restructurings, -Does not include defaults on WWI debt to United States and United Kingdom but includes post-1975 defaults on Official External Creditors.

    12-Gdp_Weighted_Default:GDP Weighted Default for country.

    13-Inflation: Annual percentages of average consumer prices.

    14-Independence: Independence for country.

    15-Currency_Crises: The Country have crisis in Currency.

    16-Inflation_Crises: The Country have crisis in Inflation.

    17-Level_Country: The description of the country whether it's Developing or Developed.

  9. b

    The uneven impact of the economic crisis on cities and households: Bristol...

    • data.bris.ac.uk
    Updated Oct 12, 2016
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    (2016). The uneven impact of the economic crisis on cities and households: Bristol and Liverpool compared - Datasets - data.bris [Dataset]. https://data.bris.ac.uk/data/dataset/b826b288ffbe076298323f390cfec648
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    Dataset updated
    Oct 12, 2016
    Area covered
    Bristol
    Description

    This project will explore the impact of the economic recession on cities and households through a systematic comparison of the experiences of two English cities, Bristol and Liverpool.The research will use both quantitative and qualitative approaches. Interviews will be held in both cities with stakeholders from across the public, private and voluntary and community sectors. A social survey of 1000 households will also be conducted in the two cities covering 10 specific household types. A series of in-depth qualitative interviews will then be held with households drawn from the survey and chosen to illustrate the spectrum of experience.In the context of globalisation and the rescaling of cities and states, the research aims to develop our understanding of the relationship between economic crisis, global connectivity and the transnational processes shaping cities and the everyday lives of residents. It will explore the 'capillary-like' impact of the crisis and austerity measures on local economic development, and local labour and housing markets, as well as highlight the intersecting realities of everyday life for households across the life course.The research will document the responses and coping strategies developed across different household types and evaluate the impact and effectiveness of 'anti-recession' strategies and policies.

  10. Financial Services: Adapting to the Coronavirus (COVID-19) Outbreak

    • store.globaldata.com
    Updated Mar 31, 2020
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    GlobalData UK Ltd. (2020). Financial Services: Adapting to the Coronavirus (COVID-19) Outbreak [Dataset]. https://store.globaldata.com/report/financial-services-adapting-to-the-coronavirus-covid-19-outbreak/
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    Dataset updated
    Mar 31, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    In the short term, the impact of COVID-19 on consumer financial services will be analogous to the global financial crisis of 2008-09, creating a period of economic paralysis and leaving a massive hole in banks’ balance sheets. Read More

  11. UK financial sector: GVA as a share of total UK economy 1990-2018

    • statista.com
    Updated Dec 8, 2022
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    Statista (2022). UK financial sector: GVA as a share of total UK economy 1990-2018 [Dataset]. https://www.statista.com/statistics/871556/uk-financial-sector-gross-value-added-share-of-total-economy/
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    Dataset updated
    Dec 8, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    This statistic shows the United Kingdom (UK) financial and insurance industries gross value added (GVA) as a share of the UK's total economic output. It can be seen that in the years running up to the global financial crisis the United Kingdoms finance and insurance industry became a major factor of its economic gross value added output. in 2009 (one year post financial crisis) the UK's finance and insurance industry accounted for nine percent of its GVA. Since then there has been a steady decrease amounting to 6.9 percent as of 2018. In 2017, London accounted for almost half of financial sectors GVA.

  12. l

    Supplementary information files for Emerging stock market volatility and...

    • repository.lboro.ac.uk
    pdf
    Updated May 30, 2023
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    Menelaos Karanasos; Stavroula Yfanti; John Hunter (2023). Supplementary information files for Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises [Dataset]. http://doi.org/10.17028/rd.lboro.19739773.v1
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Loughborough University
    Authors
    Menelaos Karanasos; Stavroula Yfanti; John Hunter
    License

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

    Description

    Supplementary information files for the article Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises

    Abstract: This paper studies the US and global economic fundamentals that exacerbate emerging stock markets volatility and can be considered as systemic risk factors increasing financial stability vulnerabilities. We apply the bivariate HEAVY system of daily and intra-daily volatility equations enriched with powers, leverage, and macro-effects that improve its forecasting accuracy significantly. Our macro-augmented asymmetric power HEAVY model estimates the inflammatory effect of US uncertainty and infectious disease news impact on equities alongside global credit and commodity factors on emerging stock index realized volatility. Our study further demonstrates the power of the economic uncertainty channel, showing that higher US policy uncertainty levels increase the leverage effects and the impact from the common macro-financial proxies on emerging markets’ financial volatility. Lastly, we provide evidence on the crucial role of both financial and health crisis events (the 2008 global financial turmoil and the recent Covid-19 pandemic) in raising markets’ turbulence and amplifying the volatility macro-drivers impact, as well.

  13. f

    Data Sheet 1_Does the tendency for “quiet quitting” differ across...

    • frontiersin.figshare.com
    pdf
    Updated Nov 25, 2025
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    Odessa S. Hamilton; Daniel Jolles; Grace Lordan (2025). Data Sheet 1_Does the tendency for “quiet quitting” differ across generations? Evidence from the UK.pdf [Dataset]. http://doi.org/10.3389/frbhe.2025.1539771.s001
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    pdfAvailable download formats
    Dataset updated
    Nov 25, 2025
    Dataset provided by
    Frontiers
    Authors
    Odessa S. Hamilton; Daniel Jolles; Grace Lordan
    License

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

    Area covered
    United Kingdom
    Description

    IntroductionThe post-COVID-19 phenomenon of “quiet quitting” could be problematic for UK economic growth because unpaid overtime has been a key contributor to business productivity since the 2008 global financial crisis. Here, we explore the extent to which this phenomenon exists in the UK, and whether the tendency for quiet quitting differs across generations.MethodsWe analyzed data from the UK Quarterly Labor Force Survey (QLFS) between 2007 and 2022 to determine changes in hours worked. Quiet quitting was characterized by notable declines in hours worked between 2019 and 2022, benchmarked against 20072018 trajectories. Analyses were demarcated by four commonly defined generational cohorts (i.e., Generation Z [GenZs; 1997–2004], Generation Y [Millennials; 1981–1996], Generation X [GenXers; 1965–1980], and Baby Boomers [1952–1964]).ResultsOverall, we found that the UK workforce reduced hours by ~28 h per year in the pandemic and post-pandemic periods. Hours lost was most notable in 2022, with hours down by ~36 h. However, in assessing generational differences, quiet quitting was most pronounced in the two younger cohorts. GenZs showed the steepest decline in hours worked, while Millennials worked the least number of hours overall, with no indication of recovery by the end of the study period. Hours declined for GenXers and Baby Boomers, but changes were more moderate, and Baby Boomers showed evidence of a possible rebound to pre-pandemic levels.DiscussionGiven the ~24,568 million UK full-time workers in 2022, our findings equate to over 55 million discretionary hours lost to the labor market per year between 2019 and 2022, 48.1% of which is accounted for by Millennials. Thus, we evidence that quiet quitting has interrupted the recovery of working hours in the UK to pre-pandemic levels, and lost hours are especially attributable to younger cohorts.JELJ24 J01.

  14. From 1st to 3rd digits Benford’s Law on net annual income (UK sample).

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Dec 3, 2024
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    Shoaib Hassan; Muhammad Aksar; Maqbool Ahmad; Jana Kajanova (2024). From 1st to 3rd digits Benford’s Law on net annual income (UK sample). [Dataset]. http://doi.org/10.1371/journal.pone.0313611.t002
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    xlsAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    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
    United Kingdom
    Description

    From 1st to 3rd digits Benford’s Law on net annual income (UK sample).

  15. Disposable income growth forecast UK 2019-2030

    • statista.com
    Updated Feb 18, 2025
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    Statista Research Department (2025). Disposable income growth forecast UK 2019-2030 [Dataset]. https://www.statista.com/topics/9121/cost-of-living-crisis-uk/
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    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    Real household disposable income per person in the United Kingdom is expected to grow by 2.6 percent in 2024/25, with disposable income growth slowing from that point onwards. In 2022/23, disposable income fell by two percent, after falling by 0.1 percent in 2021/22, and 0.3 percent in 2020/21.

  16. h

    The dynamics of contextual forces, management's orientations and change...

    • harmonydata.ac.uk
    • datacatalogue.cessda.eu
    Updated Aug 21, 2011
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    (2011). The dynamics of contextual forces, management's orientations and change management practices: A tracer study of banking and financial institutions [Dataset]. http://doi.org/10.5255/UKDA-SN-851044
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    Dataset updated
    Aug 21, 2011
    Time period covered
    Dec 15, 2010 - Dec 14, 2012
    Description

    What caused the financial crisis of 2007-10? Many, including the British Chancellor Alistair Darling, have blamed the 'irresponsibility' of investment bank managers. Such an accusation of poor performance of managers is plausible given the fact that financial institutions have been in the forefront of adopting various change programmes to enhance their viability. A review of existing evidence reveals that the managers reacted 'irresponsibly' to 'contextual forces', such as the perception of risk, decline in bank capital, regulatory burden and supervisory overreaction. But why did they do so? We need to understand how different contextual forces were understood by the managers, and why they reacted to them as they did. Unfortunately, the literature shows little insights into a playing out of managers' orientations and contextual forces. This project argues that depending on the nature and specific peculiarities of each contextual force and condition, managers adopt and apply different assumptions and orientations at different times in the process of planning change and managing their organisations. Contingent upon these factors, managers could not act completely rational in their orientations and follow-up decisions and actions. This project will rectify this by undertaking a longitudinal tracer study on investment bank managers.

  17. Data from: Cluster dynamics of financial centres in the UK: do connected...

    • tandf.figshare.com
    xlsx
    Updated Jun 1, 2023
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    Vladimír Pažitka; Dariusz Wójcik (2023). Cluster dynamics of financial centres in the UK: do connected firms grow faster? [Dataset]. http://doi.org/10.6084/m9.figshare.7346357.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Vladimír Pažitka; Dariusz Wójcik
    License

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

    Area covered
    United Kingdom
    Description

    This study investigates the connection between network centrality and firm growth on a sample of 3224 financial services firms located in the UK in the aftermath of the global financial crisis. The findings, based on a spatial econometric model of long-term firm growth, indicate that firms that span structural holes, engage in co-management appointments and have network connections to related companies in other financial centres grow faster. In contrast, such connections generate substantial negative indirect effects on proximate firms, leading to a divergence of growth rates between globally connected and locally embedded firms.

  18. Annual change in CPI 2015-2024, by country

    • abripper.com
    • statista.com
    Updated May 30, 2025
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    Jose Sanchez (2025). Annual change in CPI 2015-2024, by country [Dataset]. https://abripper.com/lander/abripper.com/index.php?_=%2Ftopics%2F8378%2Finflation-worldwide%2F%2341%2FknbtSbwPrE1UM4SH%2BbuJY5IzmCy9B
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    Dataset updated
    May 30, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Jose Sanchez
    Description

    In 2023 and through 2024, the world saw inflation rates increase amid, among other things, post-COVID-19 effects and the Russia-Ukraine war. Argentina and Turkey were both plagued by hyperinflation, with over 219 and 58 percent in 2024, respectively. Except for these, Russia had the highest inflation rate, at nearly eight percent. On the other hand, China had the lowest rate of the countries included here, at 0.2 percent. Argentinian inflation crisis During the 2020s, Argentina was struck by extreme levels of inflation, which severely impacted the livelihoods of Argentinians. Specifically, the costs of goods have presented numerous challenges to Argentinian consumers. In Argentina, a basic food basket that costs around 26,000 Argentinian pesos cost over 100,000 by February 2024. Similarly, a basic consumer goods basket that cost around 57,000 Argentinian pesos in February 2023 rose to over 220,000 by February 2024. While these rising costs have been challenging for consumers, Argentina’s inflation rate is expected to decrease beginning in 2024 and is estimated to reach 8.9% by 2029.

    British recession Besides the outliers of Argentina and Turkey, the United Kingdom had a comparatively high CPI rate. As of 2024, the British economy has entered a recession, the only G7 country to do so. Just before the general election held in July 2024, British voters indicated that health, mostly the lack of financial support and staff shortages, as well as the economy was the most important issue to them.

  19. UK humanitarian aid and spend in Syria

    • gov.uk
    Updated Oct 22, 2024
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    Foreign, Commonwealth & Development Office (2024). UK humanitarian aid and spend in Syria [Dataset]. https://www.gov.uk/government/statistics/uk-humanitarian-aid-and-spend-in-syria-factsheet
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    Dataset updated
    Oct 22, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Foreign, Commonwealth & Development Office
    Area covered
    Syria, United Kingdom
    Description

    This UK humanitarian aid and spend in Syria summary is published annually after the collection of results from the previous financial year. The publication provides:

    • an overview of the crisis
    • the FCDO response
    • a snapshot of key in-year results that reflect FCDO humanitarian programming priorities alongside some cumulative historic results for the entire crisis response

    Cumulative ODA spend related to the crisis is also included, reflecting ODA programming that has contributed to the crisis response.

    The publication contains an overview of humanitarian priorities by country who contribute ODA towards the crisis.

    View the previous version of these statistics: UK’s humanitarian aid response to the Syria crisis: factsheet (February 2023).

  20. T

    United Kingdom Bankruptcies

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 7, 2024
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    TRADING ECONOMICS (2024). United Kingdom Bankruptcies [Dataset]. https://tradingeconomics.com/united-kingdom/bankruptcies
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 7, 2024
    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
    Mar 31, 1975 - Oct 31, 2025
    Area covered
    United Kingdom
    Description

    Bankruptcies in the United Kingdom increased to 2029 Companies in October from 1995 Companies in September of 2025. This dataset provides - United Kingdom Bankruptcies - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Statista, Great Recession: UK government bailout of banking system in October 2008, by bank [Dataset]. https://www.statista.com/statistics/1347476/uk-bank-bailout-great-recession-financial-crisis/
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Great Recession: UK government bailout of banking system in October 2008, by bank

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Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Oct 2008
Area covered
United Kingdom
Description

With the onset of the Global Financial Crisis in the late Summer of 2007, the United Kingdom was one of the first countries to experience financial panic after the United States. In September 2007, the bank Northern Rock became the UK's first bank to collapse in 150 years due to a bank run, as depositors reacted to the announcement that the bank would be seeking emergency liquidity support from the Bank of England by lining up outside their bank branches to withdraw money. The failure of Northern Rock was a bad omen for the UK economy and financial sector, as banks stopped lending to each other and to customers in what became known as the 'credit crunch'. Government bailouts, private bailouts By October 2008, many UK banks were facing a situation where if they did not receive external assistance, then they would have to default on their debts and likely have to declare bankruptcy. The UK's Labour government, led by Prime Minister Gordon Brown, announced that it would provide emergency funds to stabilize the banking system, leading to the part or full nationalization of some of Britain's largest financial firms. Specifically, Royal Bank of Scotland, Lloyds TSB, and HBOS received over 35 billion pounds in a government cash injection, while Barclays opted to seek investment from private investors in order to avoid nationalization, much of which came from the state of Qatar. The bailouts caused UK government debt ratios to almost double over the period of the crisis, while public trust in the financial system sank.

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