Ulster University "NISRA BDR Programme"

阿尔斯特大学“NISRA BDR 计划”

基本信息

  • 批准号:
    ES/X008010/1
  • 负责人:
  • 金额:
    $ 6.68万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2022
  • 资助国家:
    英国
  • 起止时间:
    2022 至 无数据
  • 项目状态:
    已结题

项目摘要

This project will form part of the beta testing of the NISRA de-identified Business Data for Research (BDR) database in advance of the data being made available for wider use by approved researchers within the Administrative Data Research Northern Ireland (ADR NI).The vision for Northern Ireland set out in the "10X Economy" targets an innovation-led growth underpinned by trade and investment (Department for the Economy, 2021a). In our proposed research, we will use the newly available BDR datasets to provide illumination on the trading ecosystem that prevails for Northern Irish businesses. As recognised in the 10X vision, trade is critical to the amplification of benefits emerging from innovatory success and thus, along with the availability of financial capital, is crucial to Northern Irish development. Indeed, the "10X Economy" has an entire companion document devoted to "Trade and Investment" (Department for the Economy, 2021b), and trade is a central pillar in the 10X research priorities (Department for the Economy, 2021c) - thus underscoring the importance of research in this area.Research aims1. Develop a suite of resources to summarise and visualise the trading activity of NI businesses, analysed by sector and location, over the period 2014-2020.2. Using the NIABI and BESES datasets, undertake statistical investigation to provide policy insights on the determinants of trade flows for NI businesses, including the impact of the Brexit decision.3. Provide feedback on the usefulness of the NIABI and BESES datasets and, in particular, to identify what is missing to enable the development of a trade model for NI.4. Assist in the achievement of the 10X Economy vision of a more competitive and hence externally-orientated regional economy.Research objectives/deliverables1. Undertake a data review and produce summary indicators of the NIABI and BESES variables. This will yield evidence on the useability and distribution of the variables. It will involve: (i) reviewing the useability of the data, (ii) producing summary statistics and (iii) producing visualisations/charts. This is critical to understand the nature of the data and to identify usage issues such as outliers, missing variables and distribution patterns. 2. Produce a multi-period analysis of operating-structure focusing on the variation by sector and geography (with a focus on the 10X priority sectors). This will involve a detailed analysis of the operating structure (as identified through indicators in the NIABI dataset), including organisational form, employment, a selection of accounting-type variables and gross value added. While we are especially interested in trade, we first need to understand the underlying operating conditions in the local business environment. Crucially, we are able to identify the impact of temporal changes and thus deduce the relevance of impacts such as the Brexit decision. 3. Produce a multi-period analysis of trading volumes and destinations by sector and geography (with a focus on the 10X priority sectors). This will develop sector- and geography-specific analyses of the evolving structure of trade. By looking across time, we can understand the impact of Brexit on trade redirection/intensification. The distinctions evidenced in the dataset e.g. imports/exports, locations, freight/insurance costs, volumes and goods/services enable us to provide a rich, multi-layered analysis and thus more accurately pinpoint the effects of changing external conditions. 4. Explore the design of a trade model for NI aided by the BESES data. At present, there is a lack of trade modelling for NI separate from the rest of the UK. Given Brexit, and the new position of NI in EU/UK trade, it is vital that modelling is employed specifically for NI. We aim to evaluate the useability of the BESES data for modelling Northern Irish trade. 5. Disseminate our findings according to the funding call - project page, blog, data insight report.
在北方爱尔兰行政数据研究部(ADR NI)批准的研究人员更广泛地使用数据之前,该项目将成为NISRA去识别商业数据研究(BDR)数据库beta测试的一部分。“10 X经济”中提出的北方爱尔兰愿景的目标是以贸易和投资为支撑的创新驱动型增长(经济部,2021 a)。在我们拟议的研究中,我们将使用新提供的BDR数据集,为北方爱尔兰企业普遍存在的交易生态系统提供照明。正如10倍愿景所认识到的那样,贸易对于扩大创新成功带来的利益至关重要,因此,沿着金融资本的可用性,对北方爱尔兰的发展至关重要。事实上,“10 X经济”有一个完整的配套文件专门讨论“贸易和投资”(经济部,2021 b),贸易是10 X研究重点的核心支柱(经济部,2021 c)-从而强调了该领域研究的重要性。开发一套资源,以总结和可视化2014- 2020年期间按行业和地点分析的NI业务的贸易活动。使用NIABI和BESES数据集进行统计调查,以提供有关NI企业贸易流量决定因素的政策见解,包括英国脱欧决定的影响。就NIABI和BESES数据集的有用性提供反馈,特别是确定缺失的内容,以便为NI.4开发贸易模型。协助实现10 X经济的愿景,即建立更具竞争力的外向型区域经济。研究目标/成果1。进行数据审查,并产生NIABI和BESES变量的汇总指标。这将产生关于变量的可用性和分布的证据。它将涉及:㈠审查数据的可用性,㈡制作汇总统计数据,㈢制作可视化/图表。这对于理解数据的性质和识别使用问题(如离群值、缺失变量和分布模式)至关重要。2.对运营结构进行多期分析,重点关注部门和地理位置的变化(重点关注10倍优先部门)。这将涉及对经营结构的详细分析(通过NIABI数据集中的指标确定),包括组织形式、就业、会计类型变量的选择和总附加值。虽然我们对贸易特别感兴趣,但我们首先需要了解当地商业环境的基本运营条件。至关重要的是,我们能够识别时间变化的影响,从而推断出英国退欧决定等影响的相关性。3.按行业和地理位置对交易量和目的地进行多期分析(重点关注10倍优先行业)。这将对不断变化的贸易结构进行部门和地域分析。通过跨时间的观察,我们可以了解英国脱欧对贸易重定向/强化的影响。数据集中的差异,例如进口/出口,地点,运费/保险费,数量和商品/服务,使我们能够提供丰富的多层次分析,从而更准确地确定外部条件变化的影响。4.探索在BESES数据的帮助下设计NI的交易模型。目前,北爱尔兰缺乏与英国其他地区分开的贸易模型。鉴于英国脱欧,以及NI在欧盟/英国贸易中的新地位,为NI专门建模至关重要。我们的目标是评估的可用性的BESES数据建模北方爱尔兰贸易。5.根据资金呼吁传播我们的发现-项目页面,博客,数据洞察报告。

项目成果

期刊论文数量(0)
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Anne Marie Ward其他文献

Prudence and financial self-regulation in credit unions in Northern Ireland
  • DOI:
    10.1016/j.bar.2012.09.001
  • 发表时间:
    2012-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    John Forker;Anne Marie Ward
  • 通讯作者:
    Anne Marie Ward

Anne Marie Ward的其他文献

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