Developing the Business Structure Database (BSD) as a tool to support sub-national business policy analysis in the UK

开发商业结构数据库（BSD）作为支持英国地方商业政策分析的工具

• 批准号: ES/K00400X/1
• 负责人: Mark Hart
• 金额: $ 14.07万
• 依托单位: Aston University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FK00400X%2F1
• 关键词: Developing; Business; Structure; Database; BSD

The Local Growth White Paper, published by the UK government in October 2010, announced a major change in the institutional framework for delivering business support in England. The nine regional development agencies were to close and, instead, business support would be organized through Local Economic Partnerships (LEPs). The LEPs need for data also brings into sharper focus some data-related constraints which have restricted progress in our own programme of research linking firm-level performance with labour market adjustment processes. In two different areas - measuring the incidence and impact of high growth firms and in the construction of job creation and destruction accounts - the missing link between the ONS firm-level and establishment-level data has made it impossible to answer properly questions about the dynamics of employment change which are of importance both to policymakers and researchers. Currently, the BSD consists of two independent - firm and establishment - sets of annual snapshots of the Inter-Departmental Business Register (IDBR). Each firm-level snapshot has nearly 2 million records and each establishment-level snapshot has around 5 million records. The significance of the distinction between these two is that the firm-level records locate all of the firm's jobs at the address of the firm's headquarters. But, of course, in a multi-establishment firm many of the jobs will be elsewhere located at an establishment's address. So if we wish to construct sub-national level job accounts we need a mixture of firm and establishment-level information. To do this we need to construct longitudinally-linked datasets for firms and establishments in order to enable us to identify where jobs are located. This is a considerable computational task. We have already constructed the longitudinal firm-level dataset covering the years 1997-2010. The initial task in this project is to construct the longitudinal dataset for establishments. Because of the number of records involved this can only be done incrementally (we have investigated doing this at the regional level and this does seem feasible). Once this is done we can then link the two together. However, there are a number of additional and significant complications. First, when we come to connect these two firm- and establishment-level datasets: establishments can and do move from firm to firm. Second, establishments in one region may be part of a firm which is located in another region. Finally, birth and death dates of establishments may need some adjustment to ensure that they do match those of their associated firms.Having completed this infrastructure investment phase we will have a unique resource which has never previously been available. The code used to construct this new dataset will be made available as one output of this project (of course the raw data will still only be accessible to ONS Approved Researchers). Extending our own work at the national level the main outputs of the project will be job creation and destruction accounts and an assessment of the incidence and impact of high-growth firms for each of the 39 English LEPs as well as three devolved Administrations. These two sets of analyses are of substantive interest to academics but even more to policymakers concerned with driving economic growth at the local level. The analyses will also serve as a demonstration of the value added by the creation of this new dataset.

英国政府于2010年10月发布的《地方增长白皮书》宣布，在英格兰提供商业支持的制度框架发生了重大变化。九个区域发展机构将关闭，取而代之的是通过地方经济伙伴关系组织业务支助。LEP对数据的需求还使一些与数据有关的限制因素更加突出，这些限制因素限制了我们自己将公司一级的业绩与劳动力市场调整进程联系起来的研究方案的进展。在两个不同的领域--衡量高增长公司的发生率和影响，以及在建立就业创造和破坏账户方面--国家统计局公司级和机构级数据之间缺乏联系，使得无法正确回答有关就业变化动态的问题，这些问题对政策制定者和研究人员都很重要。目前，商业登记处由两套独立公司和机构编制的跨部门商业登记册年度快照组成。每个公司级快照有近200万条记录，每个机构级快照有大约500万条记录。这两者之间的区别的意义在于，公司级记录将公司的所有工作都定位在公司总部的地址。但是，当然，在一家由多家公司组成的公司中，许多工作都会在其他地方，位于公司的地址上。因此，如果我们希望构建国家以下级别的工作账户，我们需要混合企业和机构层面的信息。要做到这一点，我们需要为公司和机构构建纵向链接的数据集，以便使我们能够确定工作岗位的位置。这是一项相当大的计算任务。我们已经构建了涵盖1997-2010年的纵向企业水平数据集。该项目的初步任务是构建机构的纵向数据集。由于涉及的记录数量很多，这只能逐步完成(我们已经调查了在区域一级这样做，这似乎确实可行)。一旦完成此操作，我们就可以将两者链接在一起。然而，还有一些额外的和重要的并发症。首先，当我们将这两个公司和机构级的数据集联系起来时：机构可以而且确实会从一个公司转移到另一个公司。其次，一个地区的机构可能是位于另一个地区的公司的一部分。最后，机构的出生和死亡日期可能需要一些调整，以确保它们与相关公司的出生和死亡日期相匹配。完成这一基础设施投资阶段后，我们将拥有前所未有的独特资源。用于构建这个新数据集的代码将作为该项目的一项输出提供(当然，原始数据仍将仅供英国国家统计局批准的研究人员访问)。将我们自己的工作扩展到国家一级，该项目的主要产出将是创造就业和破坏就业的账户，以及对39个英格兰低收入国家和三个下放的行政当局中每一个高增长公司的发生率和影响的评估。这两组分析对学者来说具有重大意义，但对于关心推动地方经济增长的政策制定者来说，更是如此。这些分析还将展示创建这一新数据集所增加的价值。

项目成果

UK Local Growth Dashboard 2018

2018 年英国本地增长仪表板

• 发表时间: 2018
• 作者: Hart, M

Are all LEPs created equal? Establishment and job dynamics, 1998-2011

所有 LEP 都是平等的吗？

• 发表时间: 2013
• 作者: Anyadike-Danes, M

Growth Dashboard 2015

2015 年增长仪表板

• 发表时间: 2015
• 作者: Hart, M

UK Local Growth Dashboard 2016

2016 年英国本地增长仪表板

• 发表时间: 2016
• 作者: Hart M

Local Growth Dashboard 2017

2017 年本地增长仪表板

• 发表时间: 2017
• 作者: Hart, M