课题基金 / 基金详情

Ulster University "NISRA BDR Programme"

Ulster University "NISRA BDR Programme"
阿尔斯特大学“NISRA BDR 计划”
批准号:
ES/X008010/1
负责人:
Anne Marie Ward
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
项目状态:
已结题
起止时间:
2022 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
该项目将成为NISRA确定的商业研究数据(BDR)数据库的Beta测试的一部分,在数据提供给北爱尔兰行政数据研究(ADR NI)内经批准的研究人员更广泛使用之前,该数据将被提供。在我们提议的研究中,我们将使用最新可用的BDR数据集,为北爱尔兰企业普遍存在的贸易生态系统提供照明。正如10倍愿景中承认的那样,贸易对于扩大创新成功带来的好处至关重要,因此,与金融资本的可获得性一起,对北爱尔兰的发展至关重要。事实上,“10倍经济”有一份完整的配套文件专门论述“贸易和投资”(经济部,2021年),而贸易是10倍研究优先事项的中心支柱(经济部,2021年)--因此强调了这一领域研究的重要性。开发一套资源,总结和展示2020.2-2014年期间按行业和地点分析的国家投资企业的交易活动。使用NIABI和BESES数据集,进行统计调查,以提供对NI企业贸易流量决定因素的政策见解,包括英国退欧决定的影响。就NIABI和BESES数据集的有用性提供反馈,特别是确定在开发NI.4贸易模型方面的不足之处。协助实现10倍经济愿景,即更具竞争力,从而更具外向型的区域经济。进行数据审查,并编制NIABI和BESES变量的汇总指标。这将为变量的可用性和分布提供证据。这将涉及:(1)审查数据的可用性;(2)编制汇总统计数据;(3)制作可视化/图表。这对于理解数据的性质以及识别异常值、缺失变量和分布模式等使用问题至关重要。2.对业务结构进行多阶段分析,重点放在各部门和地区的差异上(重点放在10倍优先部门)。这将涉及对业务结构的详细分析(通过NIABI数据集中的指标确定),包括组织形式、就业、选定的会计类型变量和总增加值。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潜在经营状况。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.按部门和地理位置对交易量和目的地进行多阶段分析(重点放在10倍优先部门)。这将对不断演变的贸易结构进行具体部门和地域的分析。纵观时间,我们可以了解英国退欧对贸易转向/加剧的影响。数据集中显示的差异,例如进出口、地点、运费/保险费、数量和货物/服务,使我们能够提供丰富的、多层次的分析,从而更准确地确定不断变化的外部条件的影响。4.探索了在BESES数据辅助下的NI交易模型的设计。目前,缺乏将NI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专门建立模型至关重要。我们的目标是评估BESES数据对北爱尔兰贸易建模的可用性。5.根据资金募集-项目页面、博客、数据洞察报告发布我们的调查结果。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金