100+ datasets found
  1. Share of people who think Brexit was the right or wrong decision 2020-2024

    • ibetubet.com
    • statista.com
    • +6more
    Updated Nov 5, 2024
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    Statista Research Department (2024). Share of people who think Brexit was the right or wrong decision 2020-2024 [Dataset]. https://ibetubet.com/infinito/?x=http://www.statista.com/topics/10425/euroscepticism/
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    Dataset updated
    Nov 5, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    As of May 2024, 55 percent of people in Great Britain thought that it was wrong to leave the European Union, compared with 31 percent who thought it was the right decision. During this time period, the share of people who regret Brexit has been slightly higher than those who support it, except for some polls in Spring 2021, which showed higher levels of support for Brexit. The share of people who don’t know whether Brexit was the right or wrong decision has generally been stable and usually ranged between 11 and 14 percent. Is Bregret setting in? Since late July 2022, the share of people who regret Brexit in these surveys has consistently been above 50 percent. The fall in support mirrors the government’s sinking approval ratings, especially since the ruling Conservative Party, along with former Prime Minister Boris Johnson, are heavily associated with Brexit and the Leave vote. Despite there being a clear majority of voters who now regret Brexit, there is as yet no particular future relationship with the EU that has overwhelming support. As of late 2023, 31 percent of Britons wanted to rejoin the EU, while 30 percent merely wanted to improve trade relations and not rejoin either the EU or the single market. Leave victory in 2016 defied the polls In the actual referendum, which took place on June 23, 2016, Leave won 51.9 percent of the votes and Remain 48.1 percent, after several polls in the run-up to the referendum put Remain slightly ahead. Remain were anticipated to win until early results from North East England suggested that Leave had performed far better than expected, with this pattern replicated throughout the country. This event was repeated somewhat in the U.S. election of that year, which saw Donald Trump win several key swing states such as Pennsylvania and Wisconsin, despite predictions that these states would vote for Hillary Clinton.

  2. d

    EU Referendum Results

    • data.gov.uk
    • brightstripe.co.uk
    • +1more
    xls
    Updated Aug 20, 2021
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    Greater London Authority (2021). EU Referendum Results [Dataset]. https://www.data.gov.uk/dataset/be2f2aec-11d8-4bfe-9800-649e5b8ec044/eu-referendum-results
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    xlsAvailable download formats
    Dataset updated
    Aug 20, 2021
    Dataset authored and provided by
    Greater London Authority
    License

    https://www.data.gov.uk/dataset/be2f2aec-11d8-4bfe-9800-649e5b8ec044/eu-referendum-results#licence-infohttps://www.data.gov.uk/dataset/be2f2aec-11d8-4bfe-9800-649e5b8ec044/eu-referendum-results#licence-info

    Area covered
    European Union
    Description

    On June 23rd 2016, residents of the United Kingdom were asked whether the United Kingdom should remain a member of the European Union or leave.

    This dataset contains the full results of this referendum for each local authority in London and the UK.

    A blog analysing the results is also available.

  3. Replication dataset and calculations for PIIE WP 19-5, Brexit: Everyone...

    • piie.com
    Updated Mar 1, 2019
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    María C. Latorre; Zoryana Olekseyuk; Hidemichi Yonezawa; Sherman Robinson (2019). Replication dataset and calculations for PIIE WP 19-5, Brexit: Everyone Loses, but Britain Loses the Most, by María C. Latorre, Zoryana Olekseyuk, Hidemichi Yonezawa, and Sherman Robinson. (2019). [Dataset]. https://www.piie.com/publications/working-papers/brexit-everyone-loses-britain-loses-most
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    Dataset updated
    Mar 1, 2019
    Dataset provided by
    Peterson Institute for International Economicshttp://www.piie.com/
    Authors
    María C. Latorre; Zoryana Olekseyuk; Hidemichi Yonezawa; Sherman Robinson
    Area covered
    United Kingdom
    Description

    This data package includes the underlying data and files to replicate the calculations, charts, and tables presented in Brexit: Everyone Loses, but Britain Loses the Most, PIIE Working Paper 19-5.

    If you use the data, please cite as: Latorre, María C., Zoryana Olekseyuk, Hidemichi Yonezawa, and Sherman Robinson. (2019). Brexit: Everyone Loses, but Britain Loses the Most. PIIE Working Paper 19-5. Peterson Institute for International Economics.

  4. Share of people who think Brexit was the right or wrong decision 2024, by...

    • statista.com
    • bobcaton.com
    Updated Jul 4, 2024
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    Statista (2024). Share of people who think Brexit was the right or wrong decision 2024, by age group [Dataset]. https://www.statista.com/statistics/1393682/brexit-opinion-poll-by-age/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 14, 2024 - Feb 15, 2024
    Area covered
    United Kingdom
    Description

    As of February 2024, a significant majority of young Britons thought that leaving the EU was the wrong decision, with 70 percent of 18 to 24 year-old's and 66 percent of 25 and 49 year-old's regretting the decision. By contrast, 56 percent of those aged of 65 thought that Brexit was the right decision.

  5. Brexit vote by occupation industry in the United Kingdom in 2019

    • statista.com
    • proxy.parisjc.edu
    Updated Aug 9, 2024
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    Statista (2024). Brexit vote by occupation industry in the United Kingdom in 2019 [Dataset]. https://www.statista.com/statistics/1072277/brexit-vote-by-industry/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2, 2019 - Sep 4, 2019
    Area covered
    United Kingdom
    Description

    People in the United Kingdom who worked in the engineering industry were the most likely to be in favor of the the UK leaving the European Union, according to a survey conducted among UK adults in 2019. By contrast, over three quarters of people who said they worked in design wanted the UK to stay in the EU.

  6. s

    BA Brexit Geomedia Shared Data

    • orda.shef.ac.uk
    txt
    Updated May 13, 2020
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    Genevieve Gorrell; Diana Maynard; Mehmet Bakir; Juan Kanai; Luke Temple; Jacqueline Harrison; Kalina Bontcheva (2020). BA Brexit Geomedia Shared Data [Dataset]. http://doi.org/10.15131/shef.data.12287498.v1
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    txtAvailable download formats
    Dataset updated
    May 13, 2020
    Dataset provided by
    The University of Sheffield
    Authors
    Genevieve Gorrell; Diana Maynard; Mehmet Bakir; Juan Kanai; Luke Temple; Jacqueline Harrison; Kalina Bontcheva
    License

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

    Description

    This archive contains shared materials pertaining to the forthcoming paper "Local media and geo-situated responses to Brexit: A quantitative analysis of Twitter, news and survey data" by Genevieve Gorrell, Mehmet E. Bakir, Luke Temple, Diana Maynard, Jackie Harrison, J. Miguel Kanai and Kalina Bontcheva.It contains a folder with a separate document for each of the topic-model-derived topics explored in the paper. The first two columns are topic scores for material from each separate Twitter account in the corpus, along with their Brexit vote intention. After a blank column comes the national newspaper article topic scores. After a further blank column come the local newspaper article scores, along with the NUTS1 region in which they are published.Additionally there is a spreadsheet with entity-based topic scores for each newspaper.Ethics approval was obtained for the Twitter data collection from the University of Sheffield (application number 011934).

  7. H

    Twitter dataset about Brexit

    • dataverse.harvard.edu
    • data.niaid.nih.gov
    Updated Dec 2, 2022
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    Emre Calisir; Marco Brambilla (2022). Twitter dataset about Brexit [Dataset]. http://doi.org/10.7910/DVN/KP4XRP
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 2, 2022
    Dataset provided by
    Harvard Dataverse
    Authors
    Emre Calisir; Marco Brambilla
    License

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

    Description

    A large dataset containing the public tweets about Brexit comprising 45 months (from January 2016 until September 2019). This dataset comprises 50.8 million tweets and 3.97 million users. It also contains additional attributes including political stance classification, sentiment analysis, and automated account (bot) scores.

  8. c

    Centre for Social Investigation Brexit Panel, 2017-2019

    • datacatalogue.cessda.eu
    Updated Aug 9, 2023
    + more versions
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    Heath, A., University of Oxford; Richards, L. (2023). Centre for Social Investigation Brexit Panel, 2017-2019 [Dataset]. http://doi.org/10.5255/UKDA-SN-8926-1
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    Dataset updated
    Aug 9, 2023
    Dataset provided by
    University of Oxford
    Jesus College
    Authors
    Heath, A., University of Oxford; Richards, L.
    Time period covered
    Jun 30, 2017 - Aug 30, 2019
    Area covered
    United Kingdom
    Variables measured
    Individuals, National
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI)
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The dataset consists of eight waves of survey data which were collected online by Kantar Public between July 2017 and August 2019, with one wave approximately every three months. There were 5300 respondents in wave 1, 3600 in wave 2, and around 3000 in each thereafter. After the first, each wave consists of a mix of return respondents from previous wave(s) and fresh 'top up' respondents. The aim was for each wave to be a representative sample of the UK, and as such efforts were made to recruit top-up respondents from groups with higher attrition rates (e.g. young Londoners). A cross-sectional weighting variable is provided for each wave. Respondents were selected from the 'Lightspeed panel'. On response to the invitation, respondents read about the aims of the study before actively opting in.
    The eight surveys consist of a set of core questions on the topics of the Brexit negotiations, national identity, Brexit identity, political party identity interest in politics, most important issue, and political efficacy. There is a set of rotating topics including attitudes to immigration (various aspects), values, and social status. One-off topics include nostalgia, political knowledge, cultural capital, art preferences, experts, motivation for referendum vote, and more. Socio-demographic information was collected the first time the respondent took part in the study. We asked questions in every round including job status and subjective income, and asked about social class to all respondents in wave 5.
    There is one file for each wave of data, but in addition, the data are provided in a single combined file in 'long format', where each respondent has a row of data for each wave in which they participated. Identifier and wave variables are provided.
    Main Topics:

    Public attitudes towards Brexit, the negotiations, and associated issues such as immigration, sovereignty, and knowledge of the EU. The data also include socio-demographic variables, and many other relevant topics such as cultural capital, nostalgia, trust, political efficacy, and national and party identity.

  9. Z

    SSIX BREXIT Twitter Annotated Data Set

    • data.niaid.nih.gov
    Updated Jan 24, 2020
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    SSIX (2020). SSIX BREXIT Twitter Annotated Data Set [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_1229648
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    Dataset updated
    Jan 24, 2020
    Dataset authored and provided by
    SSIX
    License

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

    Description

    SSIX BREXIT Gold Standard

    This repository contains the BREXIT Twitter Gold Standard produced by the SSIX Project https://ssix-project.eu/.

    Only a sample is available here, to rebuild the full dataset, follow the instructions on the SSIX Project code repository:

    https://bitbucket.org/ssix-project/brexit-gold-standard

  10. h

    BREXIT

    • huggingface.co
    Updated May 9, 2024
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    Silvia Casola (2024). BREXIT [Dataset]. https://huggingface.co/datasets/silvia-casola/BREXIT
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 9, 2024
    Authors
    Silvia Casola
    License

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

    Description

    Dataset Card for Dataset Name

    The dataset contains 1120 tweets related to immigration, racism, islamophobia, and xenophobia in the context of the BREXIT online discussion. Each tweet has been annotated by 6 annotators, 3 of which belong to the group targeted by the discriminatory content (immigrants and Muslim annotators living in the UK), and 3 of which are part of a "control" group, not directly targeted by the discriminatory content. We release the dataset in a disaggregated… See the full description on the dataset page: https://huggingface.co/datasets/silvia-casola/BREXIT.

  11. Selected EU national perceptions of Brexit's impact on the EU

    • statista.com
    • proxy.parisjc.edu
    Updated Jun 7, 2016
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    Statista (2016). Selected EU national perceptions of Brexit's impact on the EU [Dataset]. https://www.statista.com/statistics/571189/perception-of-brexit-effecting-european-union-countries/
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    Dataset updated
    Jun 7, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    European Union, EU
    Description

    This statistic displays the public perception of citizens from European Union countries concerning the effect of the “Brexit” on the EU. All countries that were surveyed had a majority that agreed that the ‘Brexit’ would have a negative impact on the EU. 89 percent of Swedes regarded it as being a bad thing.

  12. Brexit Fast Facts

    • ibisworld.com
    • backlightbleedtest.com
    Updated Jul 26, 2024
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    IBISWorld (2024). Brexit Fast Facts [Dataset]. https://www.ibisworld.com/blog/brexit-fast-facts/44/1126/
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    Dataset updated
    Jul 26, 2024
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Jul 26, 2024
    Description

    Following the end of the Brexit transition period, we’ve looked at the main effects Brexit has had on each sector of the UK economy.

  13. U

    Replication Data for: Twelve Votes for an Exit: Compromise and...

    • dataverse.unimi.it
    • dataverse.harvard.edu
    Updated Feb 2, 2023
    + more versions
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    Marco Giuliani; Marco Giuliani (2023). Replication Data for: Twelve Votes for an Exit: Compromise and Responsiveness in the Brexit Process [Dataset]. http://doi.org/10.13130/RD_UNIMI/NITBMJ
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    application/x-stata-syntax(7965), tsv(892775)Available download formats
    Dataset updated
    Feb 2, 2023
    Dataset provided by
    UNIMI Dataverse
    Authors
    Marco Giuliani; Marco Giuliani
    License

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

    Description

    Dataset and code for the article "Twelve Votes for an Exit" It includes division data and electoral data. Brexit has been at the centre of the last two British elections and the past legislative term. The UK’s exit from the European Union was characterized by a series of parliamentary setbacks, with several government defeats, continuous rebellions and cross-party agreements made to secure control of the agenda. In the research reported in this article, we analyse the parliamentary Brexit process through careful examination of the 12 indicative votes held in Westminster in 2019 to find an alternative solution to Theresa May’s exit agreement. We map the choices of each MP along two relevant dimensions, connecting them to the socioeconomic structure of their constituencies as well as to the preferences expressed in the 2016 Brexit referendum. Moreover, we associate these parliamentary behaviours – and thus MPs’ attitudes towards compromise and responsiveness – to the gains and losses experienced during the subsequent 2019 general election.

  14. c

    Data from: Brexit stance annotated tweets

    • clarin.si
    Updated Jul 14, 2017
    + more versions
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    Miha Grčar; Darko Cherepnalkoski; Igor Mozetič; Petra Kralj Novak (2017). Brexit stance annotated tweets [Dataset]. https://www.clarin.si/repository/xmlui/handle/11356/1135
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    Dataset updated
    Jul 14, 2017
    Authors
    Miha Grčar; Darko Cherepnalkoski; Igor Mozetič; Petra Kralj Novak
    License

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

    Description

    The corpus contains over 4.5 million tweets (tweet IDs) automatically labeled by a machine learning program with stance regarding Brexit: Positive (supporting Brexit), Negative (opposing Brexit), or Neutral (uncommitted).

    The Brexit referendum was held on June 23, 2016, to decide whether the UK should leave or remain in the EU. In the weeks before the referendum, starting on May 12, the UK geo-located Brexit-related tweets were continuously collected resulting in a dataset of around 4.5 million (4,508,440) tweets from almost one million (998,054) users. A large sample of the collected tweets (35,000) was manually labeled for the stance of their authors regarding Brexit: Positive (supporting Brexit), Negative (opposing Brexit), or Neutral (uncommitted). The labeled tweets were used to train a classifier which then automatically labeled all the remaining tweets.

    The corpus contains tweet ids and stance labels. The tweets are grouped into files one hour per file. In each file, one row represents one entry (twitter_id, sentiment_label). Lines are ordered by the tweet time.

    The data collection, annotation, model training and performance estimation is described in detail in: Miha Grčar, Darko Cherepnalkoski, Igor Mozetič, Petra Kralj Novak: Stance and influence of Twitter users regarding the Brexit referendum. Computational Social Networks 4/6. 2017. http://dx.doi.org/10.1186/s40649-017-0042-6

  15. IT Systems Activity since Brexit

    • gov.uk
    Updated Feb 20, 2018
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    Office of the Advocate General for Scotland (2018). IT Systems Activity since Brexit [Dataset]. https://www.gov.uk/government/publications/it-systems-activity-since-brexit
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    Dataset updated
    Feb 20, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office of the Advocate General for Scotland
    Description

    IT Systems Activity since Brexit

  16. c

    Brexit and Devolution Documents Database, 2017-2019

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 5, 2024
    + more versions
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    McEwen, N (2024). Brexit and Devolution Documents Database, 2017-2019 [Dataset]. http://doi.org/10.5255/UKDA-SN-854953
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    Dataset updated
    Nov 5, 2024
    Dataset provided by
    University of Edinburgh
    Authors
    McEwen, N
    Time period covered
    Apr 1, 2017 - Jan 31, 2019
    Area covered
    United Kingdom
    Variables measured
    Organization, Group
    Measurement technique
    Documents were gathered from official sources (governments, parliaments, courts), political parties and interest groups. These capture the developments related to the effect of Brexit on devolution, with a focus on three policy spheres: agriculture, justice, and renewable energy/climate change. There was no sampling; all relevant documents identified by the researchers were gathered.
    Description

    This documentary archive was created as part of the Brexit priority grant, The Repatriation of Competences: Implications for devolution. It is currently being expanded as part of the ESRC large grant, Between Two Unions (ES/P009441/1). At the time of submission, it is complete up to July 2019. The archive is composed of documents including political speeches, government consultations and policy reports, parliamentary debates and reports, and court judgments. All documents are in the public domain, but the archive collated those most relevant to scholars of devolution, and compiled them in a searchable wiki. The wiki is

    The devolution settlements in the United Kingdom have been embedded in UK membership of the European Union. Policy areas like agriculture, the environment, fisheries, regional development and justice and home affairs, are both matters for the devolved parliaments and also areas that fall under the authority of the EU. In these policy fields, the EU has provided a common framework that has limited the degree of difference that has emerged within and across the UK, and this has helped keep the nations of the UK together. Whichever model is reached after negotiations, the UK's withdrawal from the EU will affect the powers of the devolved nations in complex ways. It may lead to further decentralisation of power to the devolved institutions. Alternatively, it could lead to powers being recentralized within UK-wide institutions. A third possibility is that it could see the setting up of new forums and process to enable the UK Government and the devolved governments to cooperate more closely on policy areas where their powers overlap. The outcome of the negotiations, and the decisions taken by key actors, will have consequences for the powers and responsibilities of institutions in the devolved nations and their relationships with the rest of the UK. This project will carry out a study of these developments as the Brexit negotiations get underway, and we will examine how the outcomes will shape devolution and relations between the UK's four governments. We will study and support the role of parliaments in scrutinizing the Brexit negotiation processes and the outcomes. We will meet with civil servants to help them understand the effects of different Brexit options on devolution in Scotland, Northern Ireland and Wales. Our project will focus on three particular areas of devolved policy - agriculture, the environment and justice and home affairs - to investigate the particular consequences of bringing powers back from the EU to the UK after Brexit. We will work with professionals and representatives from these sectors to help them prepare and plan for Brexit under different scenarios. We will also enhance broader understanding of the process, outcomes and their impact on devolution by producing easy to read and easy to access explanations, analyses and reports, and by taking up opportunities for commenting in the media.

  17. J

    The bilateral trade effects of announcement shocks: Brexit as a natural...

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt, zip
    Updated Dec 7, 2022
    + more versions
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    Mustapha Douch; T. Huw Edwards; Mustapha Douch; T. Huw Edwards (2022). The bilateral trade effects of announcement shocks: Brexit as a natural field experiment (replication data) [Dataset]. http://doi.org/10.15456/jae.2022327.072050
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    zip(23816495), txt(2973)Available download formats
    Dataset updated
    Dec 7, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Mustapha Douch; T. Huw Edwards; Mustapha Douch; T. Huw Edwards
    License

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

    Description

    We analyse the effects of uncertainty and anticipation shocks associated with the 2016 Brexit vote as a treatment on trade between the UK and 14 EU and 14 non-EU trading partners, using the synthetic control method (SCM). After controlling for exchange rate and GDP changes, UK exports to both groups of countries fell below those of the synthetic Britain, with much of the shortfall developing over the year prior to the referendum, following the 2015 Conservative general election win. The results indicate that UK exports to EU countries may have lost nearly 25% by early 2018, due to the Brexit shock, somewhat more than those to non-EU countries. Imports from the EU and non-EU countries also declined a little, although there is tentative evidence that UK consumers may have been avoiding countries with preferential trade agreements (PTAs) with the EU, and possibly turning towards the Commonwealth. Overall, the results confirm that policy uncertainty has a major effect upon trade and that uncertainty about supply chain costs is a potential explanation for at least some of the shortfall.

  18. f

    Engaging with change: Information and communication technology...

    • figshare.com
    pdf
    Updated Jun 1, 2023
    + more versions
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    Elizabeth Lomas; Julie McLeod (2023). Engaging with change: Information and communication technology professionals’ perspectives on change at the mid-point in the UK/EU Brexit process [Dataset]. http://doi.org/10.1371/journal.pone.0227089
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Elizabeth Lomas; Julie McLeod
    License

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

    Area covered
    United Kingdom, European Union
    Description

    BackgroundInformation and Communication Technology (ICT) has been a key agent of change in the 21st century. Given the role of ICT in changing society, this research explores the responses and attitudes to change over time from ICT professionals and ICT academics in dealing with the potentially far reaching political challenge triggered by the UK’s 2016 European Union Referendum and its decision to leave the European Union (Brexit). Whilst the vote was a UK based decision its ramifications have global implications and as such the research was not confined to the UK. This article presents the second phase of the research at the mid-point in the UK/European Union (EU) Brexit process, thus complementing the findings gathered immediately after the Referendum decision. The fundamental question being researched was: What are ICT professionals’ personal and professional perspectives on the change triggered by Brexit in terms of opportunities and threats?Methods and findingsData was collected through a survey launched in March 2018, one year on from the UK’s triggering of Article 50 and marking the mid-point in the two-year Brexit process. The survey replicated the one delivered at the point of the Referendum decision in 2016 with some developments. In addition, two appreciative inquiry focus groups were conducted. The research sought to understand any shifting perspectives on the opportunities and threats that would exist post-Brexit for ICT professionals and academics. 59% of survey participants were negative regarding the Brexit decision. Participants noted the position post-Brexit for the UK, and the remaining 27 EU Member States (EU27), was still very uncertain at this stage. They observed that planned change versus uncertainty provides for very different responses. In spite of the uncertainty, the participants were able to consider and advocate for potential opportunities although these were framed from national perspectives. The opportunities identified within the appreciative inquiry focus groups aligned to those recorded by survey participants with similar themes highlighted. However, the optimum conditions for change have yet to be reached as there is still not an informed position, message and clear leadership with detailed information for the ICT context. Further data will be gathered after the UK exit from the EU, assuming this occurs.

  19. o

    Data from: Impacts of Brexit on fruit and vegetable intake and...

    • omicsdi.org
    xml
    Updated May 6, 2024
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    Seferidi P (2024). Impacts of Brexit on fruit and vegetable intake and cardiovascular disease in England: a modelling study. [Dataset]. https://www.omicsdi.org/dataset/biostudies-literature/S-EPMC6352794
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    xmlAvailable download formats
    Dataset updated
    May 6, 2024
    Authors
    Seferidi P
    Variables measured
    Unknown
    Description

    OBJECTIVES:To estimate the potential impacts of different Brexit trade policy scenarios on the price and intake of fruits and vegetables (F&V) and consequent cardiovascular disease (CVD) deaths in England between 2021 and 2030. DESIGN:Economic and epidemiological modelling study with probabilistic sensitivity analysis. SETTING:The model combined publicly available data on F&V trade, published estimates of UK-specific price elasticities, national survey data on F&V intake, estimates on the relationship between F&V intake and CVD from published meta-analyses and CVD mortality projections for 2021-2030. PARTICIPANTS:English adults aged 25 years and older. INTERVENTIONS:We modelled four potential post-Brexit trade scenarios: (1) free trading agreement with the EU and maintaining half of non-EU free trade partners; (2) free trading agreement with the EU but no trade deal with any non-EU countries; (3) no-deal Brexit; and (4) liberalised trade regime that eliminates all import tariffs. OUTCOME MEASURES:Cumulative coronary heart disease and stroke deaths attributed to the different Brexit scenarios modelled between 2021 and 2030. RESULTS:Under all Brexit scenarios modelled, prices of F&V would increase, especially for those highly dependent on imports. This would decrease intake of F&V between 2.5% (95% uncertainty interval: 1.9% to 3.1%) and 11.4% (9.5% to 14.2%) under the different scenarios. Our model suggests that a no-deal Brexit scenario would be the most harmful, generating approximately 12?400 (6690 to 23 390) extra CVD deaths between 2021 and 2030, whereas establishing a free trading agreement with the EU would have a lower impact on mortality, contributing approximately 5740 (2860 to 11 910) extra CVD deaths. CONCLUSIONS:Trade policy under all modelled Brexit scenarios could increase price and decrease intake of F&V, generating substantial additional CVD mortality in England. The UK government should consider the population health implications of Brexit trade policy options, including changes to food systems.

  20. d

    Replication Data for: For and Against Brexit: A Survey Experiment of the...

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    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Goodwin, Matthew; Hix, Simon; Pickup, Mark (2023). Replication Data for: For and Against Brexit: A Survey Experiment of the Impact of Campaign Effects on Public Attitudes toward EU Membership [Dataset]. https://search.dataone.org/view/sha256%3A6e8a8bc74405c92b793effa38bab27c5860a5880b29e2825ff217f66776ce310
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    Dataset updated
    Nov 22, 2023
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    Harvard Dataverse
    Authors
    Goodwin, Matthew; Hix, Simon; Pickup, Mark
    Description

    What can the case of the 2016 referendum on UK membership of the European Union (EU) teach us about message framing effects and arguments that persuade citizens whether or not to support the EU? In this article, we report findings from an innovative online survey experiment based on a two-wave panel design. Our findings show that despite the expectation that campaign effects are small for high salience issues – such as Brexit – the potential for campaign effects were high for the pro-EU frames. This suggests that within an asymmetrical information environment – where the arguments for one side of an issue (anti-EU) are “priced in”, while arguments for the other side (pro-EU) have been understated – the potential for campaign effects in a single direction are substantial. To the extent that this environment is reflected in other referendum campaigns, the potential effect of pro-EU frames may be substantial.

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Statista Research Department (2024). Share of people who think Brexit was the right or wrong decision 2020-2024 [Dataset]. https://ibetubet.com/infinito/?x=http://www.statista.com/topics/10425/euroscepticism/
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Share of people who think Brexit was the right or wrong decision 2020-2024

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Dataset updated
Nov 5, 2024
Dataset provided by
Statistahttp://statista.com/
Authors
Statista Research Department
Description

As of May 2024, 55 percent of people in Great Britain thought that it was wrong to leave the European Union, compared with 31 percent who thought it was the right decision. During this time period, the share of people who regret Brexit has been slightly higher than those who support it, except for some polls in Spring 2021, which showed higher levels of support for Brexit. The share of people who don’t know whether Brexit was the right or wrong decision has generally been stable and usually ranged between 11 and 14 percent. Is Bregret setting in? Since late July 2022, the share of people who regret Brexit in these surveys has consistently been above 50 percent. The fall in support mirrors the government’s sinking approval ratings, especially since the ruling Conservative Party, along with former Prime Minister Boris Johnson, are heavily associated with Brexit and the Leave vote. Despite there being a clear majority of voters who now regret Brexit, there is as yet no particular future relationship with the EU that has overwhelming support. As of late 2023, 31 percent of Britons wanted to rejoin the EU, while 30 percent merely wanted to improve trade relations and not rejoin either the EU or the single market. Leave victory in 2016 defied the polls In the actual referendum, which took place on June 23, 2016, Leave won 51.9 percent of the votes and Remain 48.1 percent, after several polls in the run-up to the referendum put Remain slightly ahead. Remain were anticipated to win until early results from North East England suggested that Leave had performed far better than expected, with this pattern replicated throughout the country. This event was repeated somewhat in the U.S. election of that year, which saw Donald Trump win several key swing states such as Pennsylvania and Wisconsin, despite predictions that these states would vote for Hillary Clinton.

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