Ulster University "NISRA BDR Programme"

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，在数据被北爱尔兰行政数据研究（ADR NI）的批准研究人员广泛使用之前。北爱尔兰在“10X经济”中提出的愿景是实现以贸易和投资为基础的创新主导的增长（经济部，2021a）。在我们提出的研究中，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启发。正如“10X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，与金融资本的可用性一起，对北爱尔兰的发展至关重要。事实上，“10X经济”有一个完整的配套文件专门讨论“贸易和投资”（经济部，2021b），贸易是10X研究重点的核心支柱（经济部，2021c） -因此强调了该领域研究的重要性。研究aims1。开发一套资源来总结和可视化NI业务的交易活动，按行业和地点进行分析，从2014年到2020年。使用NIABI和BESES数据集，进行统计调查，为NI企业的贸易流动决定因素提供政策见解，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，特别是确定为ni4开发贸易模型所缺少的内容。协助实现10倍经济愿景，使区域经济更具竞争力和外向型。研究目标/ deliverables1。进行数据审查，并编制NIABI和BESES变量的摘要指标。这将产生关于变量的可用性和分布的证据。它将涉及：(i)审查数据的可用性，（ii）生成汇总统计数据，以及（iii）生成可视化/图表。这对于理解数据的性质和识别异常值、缺失变量和分布模式等使用问题至关重要。2. 对运营结构进行多时期分析，重点关注行业和地理的变化（重点关注10倍优先部门）。这将涉及对运营结构（通过NIABI数据集中的指标确定）的详细分析，包括组织形式、就业、会计类型变量的选择和总增加值。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基本经营状况。至关重要的是，我们能够识别时间变化的影响，从而推断出英国脱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）。这将发展对贸易结构演变的部门和地域的具体分析。纵观历史，我们可以理解英国脱欧对贸易重定向/强化的影响。数据集中体现的差异，例如进口/出口、地点、货运/保险成本、数量和商品/服务，使我们能够提供丰富的多层次分析，从而更准确地指出外部条件变化的影响。4. 在BESES数据的帮助下，探索NI贸易模型的设计。目前，缺乏将北爱尔兰与英国其他地区分开的贸易模型。考虑到英国脱欧，以及NI在欧盟/英国贸易中的新地位，为NI专门设计模型至关重要。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. 根据资助呼吁，传播我们的发现-项目页面，博客，数据洞察报告。

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.