Rahal C
Department of Sociology and Nuffield College, University of Oxford, Department of Sociology, 42-43 Park End Street, Oxford OX1 1JD.
Int J Popul Data Sci. 2019 Jul 10;4(1):1092. doi: 10.23889/ijpds.v4i1.1092.
Trust in government, policy effectiveness and the governance agenda has rarely been more important than in the opening decades of the twenty first century. For that reason, we herein present centgovspend, an open source software library which provides functionality to automatically scrape and parse central government spending at the micro level. While the design ideals are internationally applicable to any future data origination pipelines, we specifically tailor it to the United Kingdom, a country which is unique not only in terms of its transparency in procurement, but also one which was subject to a parliamentary expenses scandal, years of austerity, and then a volatile political process regarding a referendum to leave the European Union. The library optionally reconciles suppliers and subsequently analyzes payments made to private entities. Our implementation results in scraping over 4.9m payments worth over £3.5tn in value. As a way of showcasing what such a dataset makes possible, we outline three prototype applications in the fields of public administration (procurement across Standard Industry Classifier), sociology (stratification across those who supply government) and network science (board interlock across suppliers) before presenting suggestions for the future direction of public procurement data origination and analysis.
对政府、政策有效性和治理议程的信任,在21世纪的头几十年里,其重要性几乎从未像现在这样突出。因此,我们在此展示“中央政府支出”(centgovspend),这是一个开源软件库,它提供了在微观层面自动抓取和解析中央政府支出的功能。虽然该设计理念在国际上适用于任何未来的数据来源管道,但我们特别将其针对英国进行了定制。英国不仅在采购透明度方面独具特色,而且还曾经历过议会开支丑闻、多年的紧缩政策,以及随后关于脱欧公投的动荡政治进程。该库可选择对供应商进行核对,并随后分析向私人实体的付款情况。我们的实施结果是抓取了价值超过3.5万亿英镑的490多万笔付款。作为展示这样一个数据集所能实现的功能的一种方式,我们在提出公共采购数据来源和分析未来方向的建议之前,概述了公共管理(跨标准产业分类的采购)、社会学(政府供应商分层)和网络科学(供应商之间的董事会连锁关系)领域的三个原型应用。